#metrology — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #metrology, aggregated by home.social.
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WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
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https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
--
https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
--
https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
--
https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
--
https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
Calibration is priced by the work an instrument requires — bench time, test points, reference standards. It is not priced as a fraction of what the instrument is worth. That single fact reshapes what used test equipment is actually worth once it's tested across a price range.
https://www.buysellram.com/blog/what-is-used-test-equipment-actually-worth/
#TestEquipment #Calibration #ElectronicsTest #ITAD #Oscilloscope #Metrology #UsedElectronics #TestAndMeasurement #ElectronicsRecycling #SurplusEquipment #BenchInstruments #ITAssetDisposition #RFTest -
Calibration is priced by the work an instrument requires — bench time, test points, reference standards. It is not priced as a fraction of what the instrument is worth. That single fact reshapes what used test equipment is actually worth once it's tested across a price range.
At one accredited lab, calibrating a $475 Keithley multimeter runs about 12.6% of its sale price, and closer to 23% at retail rates. Calibrating a $78,500 20 GHz oscilloscope runs about 1.2%. Same service, wildly different weight on the sale price.
The counterpoint: large refurbishers like Keysight and Tektronix recalibrate everything on intake regardless of certificate status. For that channel a fresh certificate doesn't save the buyer a cost they'd pay anyway. What it does is narrow the risk that the unit turns out to be a repair job.
What that means for sellers, and why installed options and probe accessories often move price more than the calibration sticker, is in the full piece on used test equipment value.
https://www.buysellram.com/blog/what-is-used-test-equipment-actually-worth/
#TestEquipment #Calibration #ElectronicsTest #ITAD #Oscilloscope #Metrology #UsedElectronics #TestAndMeasurement #ElectronicsRecycling #SurplusEquipment #BenchInstruments #ITAssetDisposition #RFTest
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Calibration is priced by the work an instrument requires — bench time, test points, reference standards. It is not priced as a fraction of what the instrument is worth. That single fact reshapes what used test equipment is actually worth once it's tested across a price range.
At one accredited lab, calibrating a $475 Keithley multimeter runs about 12.6% of its sale price, and closer to 23% at retail rates. Calibrating a $78,500 20 GHz oscilloscope runs about 1.2%. Same service, wildly different weight on the sale price.
The counterpoint: large refurbishers like Keysight and Tektronix recalibrate everything on intake regardless of certificate status. For that channel a fresh certificate doesn't save the buyer a cost they'd pay anyway. What it does is narrow the risk that the unit turns out to be a repair job.
What that means for sellers, and why installed options and probe accessories often move price more than the calibration sticker, is in the full piece on used test equipment value.
https://www.buysellram.com/blog/what-is-used-test-equipment-actually-worth/
#TestEquipment #Calibration #ElectronicsTest #ITAD #Oscilloscope #Metrology #UsedElectronics #TestAndMeasurement #ElectronicsRecycling #SurplusEquipment #BenchInstruments #ITAssetDisposition #RFTest
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NPL on why metrology is critical to the future of nuclear energy https://www.byteseu.com/2254609/ #FusionEnergy #metrology #Nuclear #NuclearDevelopment #NuclearEnergy #NuclearPhysics
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Matej Grum appointed Acting Director of the Metrology Institute of the Republic of Slovenia
SLOVENIA, August 3 – The new management will continue the Institute’s work with a clear focus on professional…
#Slovenia #SI #Europe #Europa #EU #acting #appointed #director #Grum #Institute #Matej #metrology #Novice #of #republic #slovenia #Slovenija #the
https://www.europesays.com/3174254/ -
Matej Grum appointed Acting Director of the Metrology Institute of the Republic of Slovenia https://www.byteseu.com/2251198/ #acting #appointed #Director #Grum #Institute #Matej #metrology #of #Republic #Slovenia #the
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[Open] Data Related To Flood Mapping [Canada]
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https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
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https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
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https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
[Open] Data Related To Flood Mapping [Canada]
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https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
[Open] Data Related To Flood Mapping [Canada]
--
https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
[Open] Data Related To Flood Mapping [Canada]
--
https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
[Open] Data Related To Flood Mapping [Canada]
--
https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
How can we measure the self-correction capacity of complex adaptive #systems when observations themselves are incomplete or distorted?
This paper proposes a metrological reference architecture as the foundation for reproducible benchmarking.
🔗 doi.org/10.5281/zeno...
#OpenScience #Metrology
BenchEWS: A Metrological Refer... -
How can we measure the self-correction capacity of complex adaptive systems when observations themselves are incomplete or distorted?
BenchEWS Research Programme proposes a metrological reference …
🔗 doi.org/10.5281/zeno...
#OpenScience #BenchEWS #Metrology #ComplexSystems #EarlyWarningSignals
BenchEWS: A Metrological Refer... -
Wie misst man Selbstkorrekturfähigkeit komplexer Systeme, wenn Beobachtungen selbst unvollständig oder verzerrt sind?
Genau diese metrologische Forschungslücke adressiert BenchEWS Research Programme.
🔗 doi.org/10.5281/zeno...
#OpenScience #BenchEWS #Metrology #ComplexSystems #EarlyWarningSignals
BenchEWS: A Metrological Refer... -
How can we measure the self-correction capacity of complex adaptive systems when observations themselves are incomplete or distorted? This Perspective proposes a metrological reference architecture to address that challenge.
doi.org/10.5281/zeno...
#OpenScience #Metrology #BenchEWS #ComplexSystems
BenchEWS: A Metrological Refer... -
How can we measure the #self-correction capacity of complex adaptive #systems when observations are themselves incomplete or distorted?
This Perspective proposes a metrological reference architecture to address that challenge.
🔗 doi.org/10.5281/zeno...
#OpenScience #Metrology #ComplexSystems
BenchEWS: A Metrological Refer... -
Wie können wir die #Selbstkorrekturfähigkeit komplexer adaptiver #Systeme messen, wenn unsere Beobachtungen selbst unvollständig oder verzerrt sind?
Dieses Perspective-Paper schlägt dafür eine metrologische Referenzarchitektur vor.
🔗 doi.org/10.5281/zeno...
#OpenScience #Metrology #ComplexSystems
BenchEWS: A Metrological Refer... -
Impact Of Reservoir Storage On Propagation From Meteorological To Hydrological Drought
--
https://doi.org/10.1016/j.jhydrol.2026.136061 <-- shared paper
--
H/T @DrAjayGupta | Post Doctoral Fellow, IIT Bombay | Ph.D. in Hydrology, IIT Roorkee | Commonwealth Split-site Fellow, University of Birmingham I M.Tech in Water Resources Engineering, NIT Silchar | B.E. in Civil Engineering, PCE Nagpur.
“🌍 Why is this important?
While reservoirs are widely recognized for mitigating drought impacts, their role in controlling how drought propagates through the hydrological cycle has remained largely unexplored. In this study, [the authors] investigate how reservoir storage influences the transition of drought from meteorological to agricultural to reservoir to streamflow drought across the semi-arid Krishna River Basin, India.
🔍 THIS STUDY ADDRESSES TWO KEY RESEARCH QUESTIONS:
✅ How do drought propagation time (initiation, peak, and termination) change from meteorological to agricultural, reservoir, and streamflow droughts across different timescales and threshold values?
✅ How does reservoir storage influence drought propagation between upstream and downstream reservoirs using the Downstreamness concept?
📌 KEY FINDINGS
🔹 Drought propagation differs substantially across drought types because each component of the hydrological system responds at different rates.
🔹 Reservoirs significantly delay the propagation of drought by buffering water deficits, particularly between agricultural and streamflow drought.
🔹 Mild and moderate upstream reservoir droughts rarely propagate downstream, whereas severe upstream droughts consistently transmit downstream, leading to longer duration, greater severity, and delayed onset.
🔹 The downstreamness analysis reveals dynamic shifts in water storage between upstream and downstream reservoirs throughout drought development and recovery, providing valuable insights for reservoir operation and basin-scale drought management…”
--
“HIGHLIGHTS
• Reservoir storage impact on drought propagation from meteorological-to-hydrological drought.
• Drought propagation timeframe: initiation, peak and termination are checked.
• Impact assessment using hydrological connection: upstream to downstream reservoirs.
• Severe upstream droughts propagate downstream with increased duration and severity.
• During drought periods water-storage concentration shifts from downstream to upstream..."
#Drought #DroughtPropagation #Reservoirs #WaterResources #WaterManagement #RiverBasinManagement #KrishnaRiverBasin #Downstreamness #India #climatechange #reservoir #storage #hydrology #water #hydrologiccycle #watersecurity #planning #policy #KrishnaRiver #weather #climate #metrology #agriculture #farming #streamflow #model #modeling #spatiotemporal #spatialanalysis -
Impact Of Reservoir Storage On Propagation From Meteorological To Hydrological Drought
--
https://doi.org/10.1016/j.jhydrol.2026.136061 <-- shared paper
--
H/T @DrAjayGupta | Post Doctoral Fellow, IIT Bombay | Ph.D. in Hydrology, IIT Roorkee | Commonwealth Split-site Fellow, University of Birmingham I M.Tech in Water Resources Engineering, NIT Silchar | B.E. in Civil Engineering, PCE Nagpur.
“🌍 Why is this important?
While reservoirs are widely recognized for mitigating drought impacts, their role in controlling how drought propagates through the hydrological cycle has remained largely unexplored. In this study, [the authors] investigate how reservoir storage influences the transition of drought from meteorological to agricultural to reservoir to streamflow drought across the semi-arid Krishna River Basin, India.
🔍 THIS STUDY ADDRESSES TWO KEY RESEARCH QUESTIONS:
✅ How do drought propagation time (initiation, peak, and termination) change from meteorological to agricultural, reservoir, and streamflow droughts across different timescales and threshold values?
✅ How does reservoir storage influence drought propagation between upstream and downstream reservoirs using the Downstreamness concept?
📌 KEY FINDINGS
🔹 Drought propagation differs substantially across drought types because each component of the hydrological system responds at different rates.
🔹 Reservoirs significantly delay the propagation of drought by buffering water deficits, particularly between agricultural and streamflow drought.
🔹 Mild and moderate upstream reservoir droughts rarely propagate downstream, whereas severe upstream droughts consistently transmit downstream, leading to longer duration, greater severity, and delayed onset.
🔹 The downstreamness analysis reveals dynamic shifts in water storage between upstream and downstream reservoirs throughout drought development and recovery, providing valuable insights for reservoir operation and basin-scale drought management…”
--
“HIGHLIGHTS
• Reservoir storage impact on drought propagation from meteorological-to-hydrological drought.
• Drought propagation timeframe: initiation, peak and termination are checked.
• Impact assessment using hydrological connection: upstream to downstream reservoirs.
• Severe upstream droughts propagate downstream with increased duration and severity.
• During drought periods water-storage concentration shifts from downstream to upstream..."
#Drought #DroughtPropagation #Reservoirs #WaterResources #WaterManagement #RiverBasinManagement #KrishnaRiverBasin #Downstreamness #India #climatechange #reservoir #storage #hydrology #water #hydrologiccycle #watersecurity #planning #policy #KrishnaRiver #weather #climate #metrology #agriculture #farming #streamflow #model #modeling #spatiotemporal #spatialanalysis -
Impact Of Reservoir Storage On Propagation From Meteorological To Hydrological Drought
--
https://doi.org/10.1016/j.jhydrol.2026.136061 <-- shared paper
--
H/T @DrAjayGupta | Post Doctoral Fellow, IIT Bombay | Ph.D. in Hydrology, IIT Roorkee | Commonwealth Split-site Fellow, University of Birmingham I M.Tech in Water Resources Engineering, NIT Silchar | B.E. in Civil Engineering, PCE Nagpur.
“🌍 Why is this important?
While reservoirs are widely recognized for mitigating drought impacts, their role in controlling how drought propagates through the hydrological cycle has remained largely unexplored. In this study, [the authors] investigate how reservoir storage influences the transition of drought from meteorological to agricultural to reservoir to streamflow drought across the semi-arid Krishna River Basin, India.
🔍 THIS STUDY ADDRESSES TWO KEY RESEARCH QUESTIONS:
✅ How do drought propagation time (initiation, peak, and termination) change from meteorological to agricultural, reservoir, and streamflow droughts across different timescales and threshold values?
✅ How does reservoir storage influence drought propagation between upstream and downstream reservoirs using the Downstreamness concept?
📌 KEY FINDINGS
🔹 Drought propagation differs substantially across drought types because each component of the hydrological system responds at different rates.
🔹 Reservoirs significantly delay the propagation of drought by buffering water deficits, particularly between agricultural and streamflow drought.
🔹 Mild and moderate upstream reservoir droughts rarely propagate downstream, whereas severe upstream droughts consistently transmit downstream, leading to longer duration, greater severity, and delayed onset.
🔹 The downstreamness analysis reveals dynamic shifts in water storage between upstream and downstream reservoirs throughout drought development and recovery, providing valuable insights for reservoir operation and basin-scale drought management…”
--
“HIGHLIGHTS
• Reservoir storage impact on drought propagation from meteorological-to-hydrological drought.
• Drought propagation timeframe: initiation, peak and termination are checked.
• Impact assessment using hydrological connection: upstream to downstream reservoirs.
• Severe upstream droughts propagate downstream with increased duration and severity.
• During drought periods water-storage concentration shifts from downstream to upstream..."
#Drought #DroughtPropagation #Reservoirs #WaterResources #WaterManagement #RiverBasinManagement #KrishnaRiverBasin #Downstreamness #India #climatechange #reservoir #storage #hydrology #water #hydrologiccycle #watersecurity #planning #policy #KrishnaRiver #weather #climate #metrology #agriculture #farming #streamflow #model #modeling #spatiotemporal #spatialanalysis -
Impact Of Reservoir Storage On Propagation From Meteorological To Hydrological Drought
--
https://doi.org/10.1016/j.jhydrol.2026.136061 <-- shared paper
--
H/T @DrAjayGupta | Post Doctoral Fellow, IIT Bombay | Ph.D. in Hydrology, IIT Roorkee | Commonwealth Split-site Fellow, University of Birmingham I M.Tech in Water Resources Engineering, NIT Silchar | B.E. in Civil Engineering, PCE Nagpur.
“🌍 Why is this important?
While reservoirs are widely recognized for mitigating drought impacts, their role in controlling how drought propagates through the hydrological cycle has remained largely unexplored. In this study, [the authors] investigate how reservoir storage influences the transition of drought from meteorological to agricultural to reservoir to streamflow drought across the semi-arid Krishna River Basin, India.
🔍 THIS STUDY ADDRESSES TWO KEY RESEARCH QUESTIONS:
✅ How do drought propagation time (initiation, peak, and termination) change from meteorological to agricultural, reservoir, and streamflow droughts across different timescales and threshold values?
✅ How does reservoir storage influence drought propagation between upstream and downstream reservoirs using the Downstreamness concept?
📌 KEY FINDINGS
🔹 Drought propagation differs substantially across drought types because each component of the hydrological system responds at different rates.
🔹 Reservoirs significantly delay the propagation of drought by buffering water deficits, particularly between agricultural and streamflow drought.
🔹 Mild and moderate upstream reservoir droughts rarely propagate downstream, whereas severe upstream droughts consistently transmit downstream, leading to longer duration, greater severity, and delayed onset.
🔹 The downstreamness analysis reveals dynamic shifts in water storage between upstream and downstream reservoirs throughout drought development and recovery, providing valuable insights for reservoir operation and basin-scale drought management…”
--
“HIGHLIGHTS
• Reservoir storage impact on drought propagation from meteorological-to-hydrological drought.
• Drought propagation timeframe: initiation, peak and termination are checked.
• Impact assessment using hydrological connection: upstream to downstream reservoirs.
• Severe upstream droughts propagate downstream with increased duration and severity.
• During drought periods water-storage concentration shifts from downstream to upstream..."
#Drought #DroughtPropagation #Reservoirs #WaterResources #WaterManagement #RiverBasinManagement #KrishnaRiverBasin #Downstreamness #India #climatechange #reservoir #storage #hydrology #water #hydrologiccycle #watersecurity #planning #policy #KrishnaRiver #weather #climate #metrology #agriculture #farming #streamflow #model #modeling #spatiotemporal #spatialanalysis -
Impact Of Reservoir Storage On Propagation From Meteorological To Hydrological Drought
--
https://doi.org/10.1016/j.jhydrol.2026.136061 <-- shared paper
--
H/T @DrAjayGupta | Post Doctoral Fellow, IIT Bombay | Ph.D. in Hydrology, IIT Roorkee | Commonwealth Split-site Fellow, University of Birmingham I M.Tech in Water Resources Engineering, NIT Silchar | B.E. in Civil Engineering, PCE Nagpur.
“🌍 Why is this important?
While reservoirs are widely recognized for mitigating drought impacts, their role in controlling how drought propagates through the hydrological cycle has remained largely unexplored. In this study, [the authors] investigate how reservoir storage influences the transition of drought from meteorological to agricultural to reservoir to streamflow drought across the semi-arid Krishna River Basin, India.
🔍 THIS STUDY ADDRESSES TWO KEY RESEARCH QUESTIONS:
✅ How do drought propagation time (initiation, peak, and termination) change from meteorological to agricultural, reservoir, and streamflow droughts across different timescales and threshold values?
✅ How does reservoir storage influence drought propagation between upstream and downstream reservoirs using the Downstreamness concept?
📌 KEY FINDINGS
🔹 Drought propagation differs substantially across drought types because each component of the hydrological system responds at different rates.
🔹 Reservoirs significantly delay the propagation of drought by buffering water deficits, particularly between agricultural and streamflow drought.
🔹 Mild and moderate upstream reservoir droughts rarely propagate downstream, whereas severe upstream droughts consistently transmit downstream, leading to longer duration, greater severity, and delayed onset.
🔹 The downstreamness analysis reveals dynamic shifts in water storage between upstream and downstream reservoirs throughout drought development and recovery, providing valuable insights for reservoir operation and basin-scale drought management…”
--
“HIGHLIGHTS
• Reservoir storage impact on drought propagation from meteorological-to-hydrological drought.
• Drought propagation timeframe: initiation, peak and termination are checked.
• Impact assessment using hydrological connection: upstream to downstream reservoirs.
• Severe upstream droughts propagate downstream with increased duration and severity.
• During drought periods water-storage concentration shifts from downstream to upstream..."
#Drought #DroughtPropagation #Reservoirs #WaterResources #WaterManagement #RiverBasinManagement #KrishnaRiverBasin #Downstreamness #India #climatechange #reservoir #storage #hydrology #water #hydrologiccycle #watersecurity #planning #policy #KrishnaRiver #weather #climate #metrology #agriculture #farming #streamflow #model #modeling #spatiotemporal #spatialanalysis -
#Benchmarking shows which indicator performs well.
#Metrology asks what can be measured reproducibly in the first place.
My new paper explains why #BenchEWS Studio Beta investigates this scientific transition.
🔗 doi.org/10.5281/zeno...
From BenchEWS Studio Alpha to ... -
Watching A #NOAA #Webinar on Flash Droughts
--
https://noaaresearch.webex.com/wbxmjs/joinservice/sites/noaaresearch/meeting/download/9b3e684d45ca47fc9469070eabd9a142?MTID=m2fa4a8af7bd8647fc48619af5eeecb5a <-- shared NOAA Summer Science Series individual webinar
--
https://www.drought.gov/what-is-drought/flash-drought <-- shared NOAA overview technical article
--
https://www.star.nesdis.noaa.gov/star/NOAAScienceSeminars.php <-- subscribe to the NOAA Summer Science Series
--
https://doi.org/10.1038/s41612-024-00618-0 <-- shared paper
--
https://communities.springernature.com/posts/the-prevalent-life-cycle-of-agricultural-flash-droughts <-- shared technical article (derived from paper above)
H/T @Jeffrey Basara PhD, MBA | Chair and Professor - Department of Environmental, Earth, and Atmospheric Sciences, University of Massachusetts Lowell | Co-Founder - American Prime Sustainable Solutions
[Flash floods? not TOO hard to conceptualise.
Flash drought? harder to 'get my head around', but H/T / presenter does an excellent job!]
"Not all droughts are the same. In some cases, drought rapidly intensifies at subseasonal to seasonal scales with significant impacts to agriculture and water resources along with the increased propensity for heatwaves and wildfires. Like all droughts, flash drought begins with a precipitation deficit. However, both evaporative demand and soil moisture are critical flash drought variables, and identifying and monitoring the desiccation of the terrestrial surface is key for determining flash drought development and associated impacts. While recent advances in knowledge and monitoring of flash drought have occurred, fundamental questions remain in the state of the science. What are the overall mechanistic relationships between atmospheric demand, evaporative stress, terrestrial desiccation, and precipitation that drive the progression of flash drought? Do regional characteristics of the environment impact the evolution of flash drought? What are the scales of predictability for flash drought? Finally, how will flash drought frequency and intensity evolve in a changing climate system"
--
"Flash drought intensifies rapidly due to changes in precipitation, temperature, wind, and radiation. These changes in the weather increase evapotranspiration and lower soil moisture. Flash droughts can cause extensive damage to agriculture, economies, and ecosystems if they are not predicted and discovered early..."
#water #hydrology #fedscience #publicgood #hydrologicdrought #waterdeficit #spatialanalysis #spatiotemporal #watersecurity #risk #hazard #humanimpacts #streamflow #riverflow #groundwater #surfacewater #climate #weather #climatechange #extremeweather #atmosphere #metrology #regional #global #farming #agriculture #fluvial #pluvial #rainfall #precipitation #cloudcover #energy #heat #temperature #ET #evapotranspiration #farming #agriculture #foodsecurity #waterresources #dynamicsystems #watermanagement #flashdrought #drought #susceptibility #monitoring #prediction #model #modeling
@noaa -
Watching A #NOAA #Webinar on Flash Droughts
--
https://noaaresearch.webex.com/wbxmjs/joinservice/sites/noaaresearch/meeting/download/9b3e684d45ca47fc9469070eabd9a142?MTID=m2fa4a8af7bd8647fc48619af5eeecb5a <-- shared NOAA Summer Science Series individual webinar
--
https://www.drought.gov/what-is-drought/flash-drought <-- shared NOAA overview technical article
--
https://www.star.nesdis.noaa.gov/star/NOAAScienceSeminars.php <-- subscribe to the NOAA Summer Science Series
--
https://doi.org/10.1038/s41612-024-00618-0 <-- shared paper
--
https://communities.springernature.com/posts/the-prevalent-life-cycle-of-agricultural-flash-droughts <-- shared technical article (derived from paper above)
H/T @Jeffrey Basara PhD, MBA | Chair and Professor - Department of Environmental, Earth, and Atmospheric Sciences, University of Massachusetts Lowell | Co-Founder - American Prime Sustainable Solutions
[Flash floods? not TOO hard to conceptualise.
Flash drought? harder to 'get my head around', but H/T / presenter does an excellent job!]
"Not all droughts are the same. In some cases, drought rapidly intensifies at subseasonal to seasonal scales with significant impacts to agriculture and water resources along with the increased propensity for heatwaves and wildfires. Like all droughts, flash drought begins with a precipitation deficit. However, both evaporative demand and soil moisture are critical flash drought variables, and identifying and monitoring the desiccation of the terrestrial surface is key for determining flash drought development and associated impacts. While recent advances in knowledge and monitoring of flash drought have occurred, fundamental questions remain in the state of the science. What are the overall mechanistic relationships between atmospheric demand, evaporative stress, terrestrial desiccation, and precipitation that drive the progression of flash drought? Do regional characteristics of the environment impact the evolution of flash drought? What are the scales of predictability for flash drought? Finally, how will flash drought frequency and intensity evolve in a changing climate system"
--
"Flash drought intensifies rapidly due to changes in precipitation, temperature, wind, and radiation. These changes in the weather increase evapotranspiration and lower soil moisture. Flash droughts can cause extensive damage to agriculture, economies, and ecosystems if they are not predicted and discovered early..."
#water #hydrology #fedscience #publicgood #hydrologicdrought #waterdeficit #spatialanalysis #spatiotemporal #watersecurity #risk #hazard #humanimpacts #streamflow #riverflow #groundwater #surfacewater #climate #weather #climatechange #extremeweather #atmosphere #metrology #regional #global #farming #agriculture #fluvial #pluvial #rainfall #precipitation #cloudcover #energy #heat #temperature #ET #evapotranspiration #farming #agriculture #foodsecurity #waterresources #dynamicsystems #watermanagement #flashdrought #drought #susceptibility #monitoring #prediction #model #modeling
@noaa -
Watching A #NOAA #Webinar on Flash Droughts
--
https://noaaresearch.webex.com/wbxmjs/joinservice/sites/noaaresearch/meeting/download/9b3e684d45ca47fc9469070eabd9a142?MTID=m2fa4a8af7bd8647fc48619af5eeecb5a <-- shared NOAA Summer Science Series individual webinar
--
https://www.drought.gov/what-is-drought/flash-drought <-- shared NOAA overview technical article
--
https://www.star.nesdis.noaa.gov/star/NOAAScienceSeminars.php <-- subscribe to the NOAA Summer Science Series
--
https://doi.org/10.1038/s41612-024-00618-0 <-- shared paper
--
https://communities.springernature.com/posts/the-prevalent-life-cycle-of-agricultural-flash-droughts <-- shared technical article (derived from paper above)
H/T @Jeffrey Basara PhD, MBA | Chair and Professor - Department of Environmental, Earth, and Atmospheric Sciences, University of Massachusetts Lowell | Co-Founder - American Prime Sustainable Solutions
[Flash floods? not TOO hard to conceptualise.
Flash drought? harder to 'get my head around', but H/T / presenter does an excellent job!]
"Not all droughts are the same. In some cases, drought rapidly intensifies at subseasonal to seasonal scales with significant impacts to agriculture and water resources along with the increased propensity for heatwaves and wildfires. Like all droughts, flash drought begins with a precipitation deficit. However, both evaporative demand and soil moisture are critical flash drought variables, and identifying and monitoring the desiccation of the terrestrial surface is key for determining flash drought development and associated impacts. While recent advances in knowledge and monitoring of flash drought have occurred, fundamental questions remain in the state of the science. What are the overall mechanistic relationships between atmospheric demand, evaporative stress, terrestrial desiccation, and precipitation that drive the progression of flash drought? Do regional characteristics of the environment impact the evolution of flash drought? What are the scales of predictability for flash drought? Finally, how will flash drought frequency and intensity evolve in a changing climate system"
--
"Flash drought intensifies rapidly due to changes in precipitation, temperature, wind, and radiation. These changes in the weather increase evapotranspiration and lower soil moisture. Flash droughts can cause extensive damage to agriculture, economies, and ecosystems if they are not predicted and discovered early..."
#water #hydrology #fedscience #publicgood #hydrologicdrought #waterdeficit #spatialanalysis #spatiotemporal #watersecurity #risk #hazard #humanimpacts #streamflow #riverflow #groundwater #surfacewater #climate #weather #climatechange #extremeweather #atmosphere #metrology #regional #global #farming #agriculture #fluvial #pluvial #rainfall #precipitation #cloudcover #energy #heat #temperature #ET #evapotranspiration #farming #agriculture #foodsecurity #waterresources #dynamicsystems #watermanagement #flashdrought #drought #susceptibility #monitoring #prediction #model #modeling
@noaa -
Watching A #NOAA #Webinar on Flash Droughts
--
https://noaaresearch.webex.com/wbxmjs/joinservice/sites/noaaresearch/meeting/download/9b3e684d45ca47fc9469070eabd9a142?MTID=m2fa4a8af7bd8647fc48619af5eeecb5a <-- shared NOAA Summer Science Series individual webinar
--
https://www.drought.gov/what-is-drought/flash-drought <-- shared NOAA overview technical article
--
https://www.star.nesdis.noaa.gov/star/NOAAScienceSeminars.php <-- subscribe to the NOAA Summer Science Series
--
https://doi.org/10.1038/s41612-024-00618-0 <-- shared paper
--
https://communities.springernature.com/posts/the-prevalent-life-cycle-of-agricultural-flash-droughts <-- shared technical article (derived from paper above)
H/T @Jeffrey Basara PhD, MBA | Chair and Professor - Department of Environmental, Earth, and Atmospheric Sciences, University of Massachusetts Lowell | Co-Founder - American Prime Sustainable Solutions
[Flash floods? not TOO hard to conceptualise.
Flash drought? harder to 'get my head around', but H/T / presenter does an excellent job!]
"Not all droughts are the same. In some cases, drought rapidly intensifies at subseasonal to seasonal scales with significant impacts to agriculture and water resources along with the increased propensity for heatwaves and wildfires. Like all droughts, flash drought begins with a precipitation deficit. However, both evaporative demand and soil moisture are critical flash drought variables, and identifying and monitoring the desiccation of the terrestrial surface is key for determining flash drought development and associated impacts. While recent advances in knowledge and monitoring of flash drought have occurred, fundamental questions remain in the state of the science. What are the overall mechanistic relationships between atmospheric demand, evaporative stress, terrestrial desiccation, and precipitation that drive the progression of flash drought? Do regional characteristics of the environment impact the evolution of flash drought? What are the scales of predictability for flash drought? Finally, how will flash drought frequency and intensity evolve in a changing climate system"
--
"Flash drought intensifies rapidly due to changes in precipitation, temperature, wind, and radiation. These changes in the weather increase evapotranspiration and lower soil moisture. Flash droughts can cause extensive damage to agriculture, economies, and ecosystems if they are not predicted and discovered early..."
#water #hydrology #fedscience #publicgood #hydrologicdrought #waterdeficit #spatialanalysis #spatiotemporal #watersecurity #risk #hazard #humanimpacts #streamflow #riverflow #groundwater #surfacewater #climate #weather #climatechange #extremeweather #atmosphere #metrology #regional #global #farming #agriculture #fluvial #pluvial #rainfall #precipitation #cloudcover #energy #heat #temperature #ET #evapotranspiration #farming #agriculture #foodsecurity #waterresources #dynamicsystems #watermanagement #flashdrought #drought #susceptibility #monitoring #prediction #model #modeling
@noaa -
Watching A #NOAA #Webinar on Flash Droughts
--
https://noaaresearch.webex.com/wbxmjs/joinservice/sites/noaaresearch/meeting/download/9b3e684d45ca47fc9469070eabd9a142?MTID=m2fa4a8af7bd8647fc48619af5eeecb5a <-- shared NOAA Summer Science Series individual webinar
--
https://www.drought.gov/what-is-drought/flash-drought <-- shared NOAA overview technical article
--
https://www.star.nesdis.noaa.gov/star/NOAAScienceSeminars.php <-- subscribe to the NOAA Summer Science Series
--
https://doi.org/10.1038/s41612-024-00618-0 <-- shared paper
--
https://communities.springernature.com/posts/the-prevalent-life-cycle-of-agricultural-flash-droughts <-- shared technical article (derived from paper above)
H/T @Jeffrey Basara PhD, MBA | Chair and Professor - Department of Environmental, Earth, and Atmospheric Sciences, University of Massachusetts Lowell | Co-Founder - American Prime Sustainable Solutions
[Flash floods? not TOO hard to conceptualise.
Flash drought? harder to 'get my head around', but H/T / presenter does an excellent job!]
"Not all droughts are the same. In some cases, drought rapidly intensifies at subseasonal to seasonal scales with significant impacts to agriculture and water resources along with the increased propensity for heatwaves and wildfires. Like all droughts, flash drought begins with a precipitation deficit. However, both evaporative demand and soil moisture are critical flash drought variables, and identifying and monitoring the desiccation of the terrestrial surface is key for determining flash drought development and associated impacts. While recent advances in knowledge and monitoring of flash drought have occurred, fundamental questions remain in the state of the science. What are the overall mechanistic relationships between atmospheric demand, evaporative stress, terrestrial desiccation, and precipitation that drive the progression of flash drought? Do regional characteristics of the environment impact the evolution of flash drought? What are the scales of predictability for flash drought? Finally, how will flash drought frequency and intensity evolve in a changing climate system"
--
"Flash drought intensifies rapidly due to changes in precipitation, temperature, wind, and radiation. These changes in the weather increase evapotranspiration and lower soil moisture. Flash droughts can cause extensive damage to agriculture, economies, and ecosystems if they are not predicted and discovered early..."
#water #hydrology #fedscience #publicgood #hydrologicdrought #waterdeficit #spatialanalysis #spatiotemporal #watersecurity #risk #hazard #humanimpacts #streamflow #riverflow #groundwater #surfacewater #climate #weather #climatechange #extremeweather #atmosphere #metrology #regional #global #farming #agriculture #fluvial #pluvial #rainfall #precipitation #cloudcover #energy #heat #temperature #ET #evapotranspiration #farming #agriculture #foodsecurity #waterresources #dynamicsystems #watermanagement #flashdrought #drought #susceptibility #monitoring #prediction #model #modeling
@noaa -
https://www.europesays.com/ch/90502/ ABB Robotics Recognized as a 2026 Ford Supplier of the Year #ABB #Automation #awards #Manufacturing #metrology #quality #Robotics
-
Dr. Özkan Becomes First Turkish Exec Admitted to International Academy for Quality (IAQ)
Dr. Ömer Özkan, Group Manager of Quality Management at SOCAR Türkiye, has become the first Turkish executive to…
#EuropeSays #Turkiye #Türkiye #Manufacturing #metrology #quality #Turkish
https://www.europesays.com/turkiye/17746/ -
Why The Media Keep Quoting The Same Climate Scientist
(Daniel Swain has a knack for breaking down the complexities of climate and weather into precise but accessible ideas.)
--
https://www.theatlantic.com/science/2026/06/climate-weather-scientist-daniel-swain/687457/?gift=ttHQV0PZWqrQUD2tsgA7Pt9wX8z1gPJGiANsir671zQ <-- shared media article
--
https://doi.org/10.1038/s43017-024-00624-z <-- shared paper example, “Hydroclimate Volatility On A Warming Earth”
--
https://www.youtube.com/@weatherwest <-- Shared YouTube channel: Weather West
--
H/T @DanielSwain
"The success of the climatologist Daniel Swain rests on a simple foundation: His specialty has long been how global climate change messes with local weather. Many climatologists focus on subjects that seem arcane: mean global temperatures registered in Celsius, radiative forcing, the reflectivity of clouds. Swain, in contrast, talks in plain English—constantly, really, in interviews with CBS, NBC, the Weather Channel, and The Washington Post, as well as on his own blog and YouTube channel, Weather West—about the wind and the rain and the temperature outside, and how they are influenced by the larger forces of the atmosphere.
“He uses language that is both precise and deep but very accessible, and that’s why you see him quoted everywhere,” Mark Hertsgaard, a longtime climate journalist who is the executive director of Covering Climate Now, told [the Atlantic]. According to Swain’s own tally, he does more than 200 media interviews a year; he is, in other words, about as omnipresent as a weather guy can be in people’s lives. A climate scientist at the University of California Agriculture and Natural Resources’ research unit, Swain is not exactly a “weather influencer,” that breed of streamer who delivers breathless updates about the next big storm. But he has become one of the country’s most influential explainers of the weather’s relationship to the climate; you’ve almost certainly heard from him if you consume just a scintilla of climate-related news…”
#global #climatechange #extremeweather #climatescientist #climate #scientist #media #hydroclimate #whiplash #WeatherWest #weather #localweather #metrology #connection #relationship #education #publicscience #extremeweather #climatology #wind #rainfall #precipitation #temperature #atmosphere
@TheAtlantic -
Why The Media Keep Quoting The Same Climate Scientist
(Daniel Swain has a knack for breaking down the complexities of climate and weather into precise but accessible ideas.)
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https://www.theatlantic.com/science/2026/06/climate-weather-scientist-daniel-swain/687457/?gift=ttHQV0PZWqrQUD2tsgA7Pt9wX8z1gPJGiANsir671zQ <-- shared media article
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https://doi.org/10.1038/s43017-024-00624-z <-- shared paper example, “Hydroclimate Volatility On A Warming Earth”
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https://www.youtube.com/@weatherwest <-- Shared YouTube channel: Weather West
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H/T @DanielSwain
"The success of the climatologist Daniel Swain rests on a simple foundation: His specialty has long been how global climate change messes with local weather. Many climatologists focus on subjects that seem arcane: mean global temperatures registered in Celsius, radiative forcing, the reflectivity of clouds. Swain, in contrast, talks in plain English—constantly, really, in interviews with CBS, NBC, the Weather Channel, and The Washington Post, as well as on his own blog and YouTube channel, Weather West—about the wind and the rain and the temperature outside, and how they are influenced by the larger forces of the atmosphere.
“He uses language that is both precise and deep but very accessible, and that’s why you see him quoted everywhere,” Mark Hertsgaard, a longtime climate journalist who is the executive director of Covering Climate Now, told [the Atlantic]. According to Swain’s own tally, he does more than 200 media interviews a year; he is, in other words, about as omnipresent as a weather guy can be in people’s lives. A climate scientist at the University of California Agriculture and Natural Resources’ research unit, Swain is not exactly a “weather influencer,” that breed of streamer who delivers breathless updates about the next big storm. But he has become one of the country’s most influential explainers of the weather’s relationship to the climate; you’ve almost certainly heard from him if you consume just a scintilla of climate-related news…”
#global #climatechange #extremeweather #climatescientist #climate #scientist #media #hydroclimate #whiplash #WeatherWest #weather #localweather #metrology #connection #relationship #education #publicscience #extremeweather #climatology #wind #rainfall #precipitation #temperature #atmosphere
@TheAtlantic -
Why The Media Keep Quoting The Same Climate Scientist
(Daniel Swain has a knack for breaking down the complexities of climate and weather into precise but accessible ideas.)
--
https://www.theatlantic.com/science/2026/06/climate-weather-scientist-daniel-swain/687457/?gift=ttHQV0PZWqrQUD2tsgA7Pt9wX8z1gPJGiANsir671zQ <-- shared media article
--
https://doi.org/10.1038/s43017-024-00624-z <-- shared paper example, “Hydroclimate Volatility On A Warming Earth”
--
https://www.youtube.com/@weatherwest <-- Shared YouTube channel: Weather West
--
H/T @DanielSwain
"The success of the climatologist Daniel Swain rests on a simple foundation: His specialty has long been how global climate change messes with local weather. Many climatologists focus on subjects that seem arcane: mean global temperatures registered in Celsius, radiative forcing, the reflectivity of clouds. Swain, in contrast, talks in plain English—constantly, really, in interviews with CBS, NBC, the Weather Channel, and The Washington Post, as well as on his own blog and YouTube channel, Weather West—about the wind and the rain and the temperature outside, and how they are influenced by the larger forces of the atmosphere.
“He uses language that is both precise and deep but very accessible, and that’s why you see him quoted everywhere,” Mark Hertsgaard, a longtime climate journalist who is the executive director of Covering Climate Now, told [the Atlantic]. According to Swain’s own tally, he does more than 200 media interviews a year; he is, in other words, about as omnipresent as a weather guy can be in people’s lives. A climate scientist at the University of California Agriculture and Natural Resources’ research unit, Swain is not exactly a “weather influencer,” that breed of streamer who delivers breathless updates about the next big storm. But he has become one of the country’s most influential explainers of the weather’s relationship to the climate; you’ve almost certainly heard from him if you consume just a scintilla of climate-related news…”
#global #climatechange #extremeweather #climatescientist #climate #scientist #media #hydroclimate #whiplash #WeatherWest #weather #localweather #metrology #connection #relationship #education #publicscience #extremeweather #climatology #wind #rainfall #precipitation #temperature #atmosphere
@TheAtlantic -
Why The Media Keep Quoting The Same Climate Scientist
(Daniel Swain has a knack for breaking down the complexities of climate and weather into precise but accessible ideas.)
--
https://www.theatlantic.com/science/2026/06/climate-weather-scientist-daniel-swain/687457/?gift=ttHQV0PZWqrQUD2tsgA7Pt9wX8z1gPJGiANsir671zQ <-- shared media article
--
https://doi.org/10.1038/s43017-024-00624-z <-- shared paper example, “Hydroclimate Volatility On A Warming Earth”
--
https://www.youtube.com/@weatherwest <-- Shared YouTube channel: Weather West
--
H/T @DanielSwain
"The success of the climatologist Daniel Swain rests on a simple foundation: His specialty has long been how global climate change messes with local weather. Many climatologists focus on subjects that seem arcane: mean global temperatures registered in Celsius, radiative forcing, the reflectivity of clouds. Swain, in contrast, talks in plain English—constantly, really, in interviews with CBS, NBC, the Weather Channel, and The Washington Post, as well as on his own blog and YouTube channel, Weather West—about the wind and the rain and the temperature outside, and how they are influenced by the larger forces of the atmosphere.
“He uses language that is both precise and deep but very accessible, and that’s why you see him quoted everywhere,” Mark Hertsgaard, a longtime climate journalist who is the executive director of Covering Climate Now, told [the Atlantic]. According to Swain’s own tally, he does more than 200 media interviews a year; he is, in other words, about as omnipresent as a weather guy can be in people’s lives. A climate scientist at the University of California Agriculture and Natural Resources’ research unit, Swain is not exactly a “weather influencer,” that breed of streamer who delivers breathless updates about the next big storm. But he has become one of the country’s most influential explainers of the weather’s relationship to the climate; you’ve almost certainly heard from him if you consume just a scintilla of climate-related news…”
#global #climatechange #extremeweather #climatescientist #climate #scientist #media #hydroclimate #whiplash #WeatherWest #weather #localweather #metrology #connection #relationship #education #publicscience #extremeweather #climatology #wind #rainfall #precipitation #temperature #atmosphere
@TheAtlantic -
Why The Media Keep Quoting The Same Climate Scientist
(Daniel Swain has a knack for breaking down the complexities of climate and weather into precise but accessible ideas.)
--
https://www.theatlantic.com/science/2026/06/climate-weather-scientist-daniel-swain/687457/?gift=ttHQV0PZWqrQUD2tsgA7Pt9wX8z1gPJGiANsir671zQ <-- shared media article
--
https://doi.org/10.1038/s43017-024-00624-z <-- shared paper example, “Hydroclimate Volatility On A Warming Earth”
--
https://www.youtube.com/@weatherwest <-- Shared YouTube channel: Weather West
--
H/T @DanielSwain
"The success of the climatologist Daniel Swain rests on a simple foundation: His specialty has long been how global climate change messes with local weather. Many climatologists focus on subjects that seem arcane: mean global temperatures registered in Celsius, radiative forcing, the reflectivity of clouds. Swain, in contrast, talks in plain English—constantly, really, in interviews with CBS, NBC, the Weather Channel, and The Washington Post, as well as on his own blog and YouTube channel, Weather West—about the wind and the rain and the temperature outside, and how they are influenced by the larger forces of the atmosphere.
“He uses language that is both precise and deep but very accessible, and that’s why you see him quoted everywhere,” Mark Hertsgaard, a longtime climate journalist who is the executive director of Covering Climate Now, told [the Atlantic]. According to Swain’s own tally, he does more than 200 media interviews a year; he is, in other words, about as omnipresent as a weather guy can be in people’s lives. A climate scientist at the University of California Agriculture and Natural Resources’ research unit, Swain is not exactly a “weather influencer,” that breed of streamer who delivers breathless updates about the next big storm. But he has become one of the country’s most influential explainers of the weather’s relationship to the climate; you’ve almost certainly heard from him if you consume just a scintilla of climate-related news…”
#global #climatechange #extremeweather #climatescientist #climate #scientist #media #hydroclimate #whiplash #WeatherWest #weather #localweather #metrology #connection #relationship #education #publicscience #extremeweather #climatology #wind #rainfall #precipitation #temperature #atmosphere
@TheAtlantic -
The changing world of #metrology.
"Scientists said the region was missing about 650,000 sq kilometres (250,000 sq miles) of sea ice, compared with the average between 1991 and 2020. That is an area about the size of France and almost 10 times the size of Tasmania."
What! No Wales?
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The changing world of #metrology.
"Scientists said the region was missing about 650,000 sq kilometres (250,000 sq miles) of sea ice, compared with the average between 1991 and 2020. That is an area about the size of France and almost 10 times the size of Tasmania."
What! No Wales?
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The changing world of #metrology.
"Scientists said the region was missing about 650,000 sq kilometres (250,000 sq miles) of sea ice, compared with the average between 1991 and 2020. That is an area about the size of France and almost 10 times the size of Tasmania."
What! No Wales?
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The changing world of #metrology.
"Scientists said the region was missing about 650,000 sq kilometres (250,000 sq miles) of sea ice, compared with the average between 1991 and 2020. That is an area about the size of France and almost 10 times the size of Tasmania."
What! No Wales?
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The changing world of #metrology.
"Scientists said the region was missing about 650,000 sq kilometres (250,000 sq miles) of sea ice, compared with the average between 1991 and 2020. That is an area about the size of France and almost 10 times the size of Tasmania."
What! No Wales?
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#LightPollution research spans many fields, but progress is slowed because astronomers, ecologists, and lighting engineers use different rulers to measure the same night sky. This communication breakdown complicates how we manage outdoor lighting as a shared public resource.
Read more about why clearing up these discrepancies eliminates misunderstandings and gives city planners the precise data needed for better policy: https://www.darkskyconsulting.com/blog/the-language-of-light-standardizing-light-pollution-measurements
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#LightPollution research spans many fields, but progress is slowed because astronomers, ecologists, and lighting engineers use different rulers to measure the same night sky. This communication breakdown complicates how we manage outdoor lighting as a shared public resource.
Read more about why clearing up these discrepancies eliminates misunderstandings and gives city planners the precise data needed for better policy: https://www.darkskyconsulting.com/blog/the-language-of-light-standardizing-light-pollution-measurements
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#LightPollution research spans many fields, but progress is slowed because astronomers, ecologists, and lighting engineers use different rulers to measure the same night sky. This communication breakdown complicates how we manage outdoor lighting as a shared public resource.
Read more about why clearing up these discrepancies eliminates misunderstandings and gives city planners the precise data needed for better policy: https://www.darkskyconsulting.com/blog/the-language-of-light-standardizing-light-pollution-measurements
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#LightPollution research spans many fields, but progress is slowed because astronomers, ecologists, and lighting engineers use different rulers to measure the same night sky. This communication breakdown complicates how we manage outdoor lighting as a shared public resource.
Read more about why clearing up these discrepancies eliminates misunderstandings and gives city planners the precise data needed for better policy: https://www.darkskyconsulting.com/blog/the-language-of-light-standardizing-light-pollution-measurements
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#LightPollution research spans many fields, but progress is slowed because astronomers, ecologists, and lighting engineers use different rulers to measure the same night sky. This communication breakdown complicates how we manage outdoor lighting as a shared public resource.
Read more about why clearing up these discrepancies eliminates misunderstandings and gives city planners the precise data needed for better policy: https://www.darkskyconsulting.com/blog/the-language-of-light-standardizing-light-pollution-measurements
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#science #metrology #electronics #retrocomputing What do we think this instrument measures? Maybe an old voltmeter? Spotted at an open-house in #SomervilleMA
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#science #metrology #electronics #retrocomputing What do we think this instrument measures? Maybe an old voltmeter? Spotted at an open-house in #SomervilleMA
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#science #metrology #electronics #retrocomputing What do we think this instrument measures? Maybe an old voltmeter? Spotted at an open-house in #SomervilleMA
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#science #metrology #electronics #retrocomputing What do we think this instrument measures? Maybe an old voltmeter? Spotted at an open-house in #SomervilleMA
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#science #metrology #electronics #retrocomputing What do we think this instrument measures? Maybe an old voltmeter? Spotted at an open-house in #SomervilleMA
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🧲❓ The gravitational constant “Big G” has been part of #physics since 1687, but after 17 modern measurements, scientists still can’t agree on its exact value.
At #NIST in #Maryland, physicist Stephan Schlamminger spent a decade trying – even resorting to a sealed-envelope #experiment to avoid subconscious bias. His team’s result slightly disagrees with the accepted value, keeping the #mystery alive.
#gravity #newton #science #metrology #space #education #stem
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🧲❓ The gravitational constant “Big G” has been part of #physics since 1687, but after 17 modern measurements, scientists still can’t agree on its exact value.
At #NIST in #Maryland, physicist Stephan Schlamminger spent a decade trying – even resorting to a sealed-envelope #experiment to avoid subconscious bias. His team’s result slightly disagrees with the accepted value, keeping the #mystery alive.
#gravity #newton #science #metrology #space #education #stem
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🧲❓ The gravitational constant “Big G” has been part of #physics since 1687, but after 17 modern measurements, scientists still can’t agree on its exact value.
At #NIST in #Maryland, physicist Stephan Schlamminger spent a decade trying – even resorting to a sealed-envelope #experiment to avoid subconscious bias. His team’s result slightly disagrees with the accepted value, keeping the #mystery alive.
#gravity #newton #science #metrology #space #education #stem
-
🧲❓ The gravitational constant “Big G” has been part of #physics since 1687, but after 17 modern measurements, scientists still can’t agree on its exact value.
At #NIST in #Maryland, physicist Stephan Schlamminger spent a decade trying – even resorting to a sealed-envelope #experiment to avoid subconscious bias. His team’s result slightly disagrees with the accepted value, keeping the #mystery alive.
#gravity #newton #science #metrology #space #education #stem
-
🧲❓ The gravitational constant “Big G” has been part of #physics since 1687, but after 17 modern measurements, scientists still can’t agree on its exact value.
At #NIST in #Maryland, physicist Stephan Schlamminger spent a decade trying – even resorting to a sealed-envelope #experiment to avoid subconscious bias. His team’s result slightly disagrees with the accepted value, keeping the #mystery alive.
#gravity #newton #science #metrology #space #education #stem