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#metrology — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #metrology, aggregated by home.social.

  1. 💧🌏 Greg Cocks @[email protected] ·

    WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
    --
    deepmind.google/blog/weatherne <-- shared technical Google DeepMind blog post
    --
    doi.org/10.1038/s41586-026-109 <-- shared paper
    --
    deepmind.google/science/weathe <-- shared data
    --
    github.com/google-deepmind/wea <-- 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

    #google #deepmind #googleresearch #ai #ensembles #functionalgenerativenetworks
  2. BuySellRam.com @[email protected] ·

    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.
    buysellram.com/blog/what-is-us
    #TestEquipment #Calibration #ElectronicsTest #ITAD #Oscilloscope #Metrology #UsedElectronics #TestAndMeasurement #ElectronicsRecycling #SurplusEquipment #BenchInstruments #ITAssetDisposition #RFTest

    #rftest #itassetdisposition #benchinstruments #surplusequipment #electronicsrecycling #testandmeasurement
  3. ALEXBSR @[email protected] ·

    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.

    buysellram.com/blog/what-is-us

    #TestEquipment #Calibration #ElectronicsTest #ITAD #Oscilloscope #Metrology #UsedElectronics #TestAndMeasurement #ElectronicsRecycling #SurplusEquipment #BenchInstruments #ITAssetDisposition #RFTest

    #testequipment #calibration #electronicstest #itad #oscilloscope #metrology
  4. ALEXBSR @alexbsr ·

    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.

    buysellram.com/blog/what-is-us

    #testequipment #calibration #electronicstest #itad #oscilloscope #metrology
  5. 💧🌏 Greg Cocks @[email protected] ·

    [Open] Data Related To Flood Mapping [Canada]
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    natural-resources.canada.ca/sc <-- shared link to technical details
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    app.geo.ca/en-ca/map-browser/r <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
    --
    open.canada.ca/data/en/dataset <-- shared data-portal link, Canada Flood Susceptibility Index
    --
    doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
    --
    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

    #water #hydrography #flood #flooding #risk #hazard