#evaporation — Public Fediverse posts

Disappearance is just a change of state.

#Evaporation #Physics #Science #LeidenfrostEffect #LeidenLog

Disappearance is just a change of state.

#Evaporation #Physics #Science #LeidenfrostEffect #LeidenLog

Disappearance is just a change of state.

#Evaporation #Physics #Science #LeidenfrostEffect #LeidenLog

Disappearance is just a change of state.

#Evaporation #Physics #Science #LeidenfrostEffect #LeidenLog

Disappearance is just a change of state.

#Evaporation #Physics #Science #LeidenfrostEffect #LeidenLog

Salt and Dunes

Photographer Barbara Brown captured these striking aerial views in Namibia. Coastal dunes and saltworks feature in the photos from Walvis Bay, where wind, waves, evaporation, and humankind have shaped the landscape. The colorful and dendritic dune images come from Sossusvlei, where the ephemeral Tsauchab River ends in the Namib Desert. Recent flooding left its mark on the dry landscape. (Image credit: B. Brown/IAPOTY; via Colossal)

Global Performance of #RemoteSensing Based and Reanalysis-Driven Models to Estimate Open Water Evaporation
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https://doi.org/10.1029/2025WR042363
--
“ABSTRACT: Evaporation plays an essential role in the water cycle, influencing local and regional climates while directly impacting water availability in lakes. However, directly measuring evaporation over water bodies remains challenging due to the high costs of installing and maintaining the required in situ instrumentation. Although several remote sensing algorithms have been providing evaporation estimates, the lack of a global validation hinders our understanding of their relative uncertainties and performances across different regions. Here, [they] analyze[d] the performance of a suite of models that leverage satellite data and meteorological reanalysis to estimate evaporation over lakes worldwide. [They] compare[d] three remote sensing-based models, one reanalysis-driven model and one ensemble approach, using in situ observations from 27 lakes representing a diverse range of geographic and climatic regions. [Their] results demonstrate that, overall, the ensemble outperformed any individual model in terms of accuracy, with a RMSE and a bias of 1.3 and 0.3 mm/day, respectively. These findings highlight the benefits of using an ensemble approach to estimate open water evaporation with satellite-based models at the global scale, leveraging the unique strengths of each model. For the individual models, differences in the representation of heat storage changes and advection effects led to lower values of RMSE and bias, depending on the location and depth of the lakes. This study sets the path for future improvement of open water evaporation algorithms globally, while remote sensing techniques are proven satisfactory to monitoring of water loss in lakes globally, an essential step toward effective large-scale water resources management.
PLAIN LANGUAGE SUMMARY: Water loss through evaporation in lakes and reservoirs directly affects water availability, which highlights the need to monitor these losses. However, measuring evaporation in situ is challenging and expensive. An alternative is to estimate evaporation using remote-sensing models and compare these estimates with in-situ data to verify their accuracy. Here, [they] evaluated four models and their ensemble (the models' mean value) using measurements from 27 lakes and reservoirs worldwide. [They] found that the ensemble presented higher accuracy and consistency than any individual model because it benefits from the strengths of each model. This approach can guide future improvements in estimating open-water evaporation, which is essential for large-scale water-resource management…”
#global #mapping #earthobservation #GIS #spatial #spatialanalysis #spatiotemporal #model #modeling #water #hydrology #surfacewater #waterbody #lake #reservoir #evaporation #evapotranspiration #watercycle #weather #meteorology #usecase #waterresources #watermanagement #waterloss #regional #estimate #policy #planning #instrumentation #comparasion

Global Performance of #RemoteSensing Based and Reanalysis-Driven Models to Estimate Open Water Evaporation
--
https://doi.org/10.1029/2025WR042363
--
“ABSTRACT: Evaporation plays an essential role in the water cycle, influencing local and regional climates while directly impacting water availability in lakes. However, directly measuring evaporation over water bodies remains challenging due to the high costs of installing and maintaining the required in situ instrumentation. Although several remote sensing algorithms have been providing evaporation estimates, the lack of a global validation hinders our understanding of their relative uncertainties and performances across different regions. Here, [they] analyze[d] the performance of a suite of models that leverage satellite data and meteorological reanalysis to estimate evaporation over lakes worldwide. [They] compare[d] three remote sensing-based models, one reanalysis-driven model and one ensemble approach, using in situ observations from 27 lakes representing a diverse range of geographic and climatic regions. [Their] results demonstrate that, overall, the ensemble outperformed any individual model in terms of accuracy, with a RMSE and a bias of 1.3 and 0.3 mm/day, respectively. These findings highlight the benefits of using an ensemble approach to estimate open water evaporation with satellite-based models at the global scale, leveraging the unique strengths of each model. For the individual models, differences in the representation of heat storage changes and advection effects led to lower values of RMSE and bias, depending on the location and depth of the lakes. This study sets the path for future improvement of open water evaporation algorithms globally, while remote sensing techniques are proven satisfactory to monitoring of water loss in lakes globally, an essential step toward effective large-scale water resources management.
PLAIN LANGUAGE SUMMARY: Water loss through evaporation in lakes and reservoirs directly affects water availability, which highlights the need to monitor these losses. However, measuring evaporation in situ is challenging and expensive. An alternative is to estimate evaporation using remote-sensing models and compare these estimates with in-situ data to verify their accuracy. Here, [they] evaluated four models and their ensemble (the models' mean value) using measurements from 27 lakes and reservoirs worldwide. [They] found that the ensemble presented higher accuracy and consistency than any individual model because it benefits from the strengths of each model. This approach can guide future improvements in estimating open-water evaporation, which is essential for large-scale water-resource management…”
#global #mapping #earthobservation #GIS #spatial #spatialanalysis #spatiotemporal #model #modeling #water #hydrology #surfacewater #waterbody #lake #reservoir #evaporation #evapotranspiration #watercycle #weather #meteorology #usecase #waterresources #watermanagement #waterloss #regional #estimate #policy #planning #instrumentation #comparasion

Global Performance of #RemoteSensing Based and Reanalysis-Driven Models to Estimate Open Water Evaporation
--
https://doi.org/10.1029/2025WR042363
--
“ABSTRACT: Evaporation plays an essential role in the water cycle, influencing local and regional climates while directly impacting water availability in lakes. However, directly measuring evaporation over water bodies remains challenging due to the high costs of installing and maintaining the required in situ instrumentation. Although several remote sensing algorithms have been providing evaporation estimates, the lack of a global validation hinders our understanding of their relative uncertainties and performances across different regions. Here, [they] analyze[d] the performance of a suite of models that leverage satellite data and meteorological reanalysis to estimate evaporation over lakes worldwide. [They] compare[d] three remote sensing-based models, one reanalysis-driven model and one ensemble approach, using in situ observations from 27 lakes representing a diverse range of geographic and climatic regions. [Their] results demonstrate that, overall, the ensemble outperformed any individual model in terms of accuracy, with a RMSE and a bias of 1.3 and 0.3 mm/day, respectively. These findings highlight the benefits of using an ensemble approach to estimate open water evaporation with satellite-based models at the global scale, leveraging the unique strengths of each model. For the individual models, differences in the representation of heat storage changes and advection effects led to lower values of RMSE and bias, depending on the location and depth of the lakes. This study sets the path for future improvement of open water evaporation algorithms globally, while remote sensing techniques are proven satisfactory to monitoring of water loss in lakes globally, an essential step toward effective large-scale water resources management.
PLAIN LANGUAGE SUMMARY: Water loss through evaporation in lakes and reservoirs directly affects water availability, which highlights the need to monitor these losses. However, measuring evaporation in situ is challenging and expensive. An alternative is to estimate evaporation using remote-sensing models and compare these estimates with in-situ data to verify their accuracy. Here, [they] evaluated four models and their ensemble (the models' mean value) using measurements from 27 lakes and reservoirs worldwide. [They] found that the ensemble presented higher accuracy and consistency than any individual model because it benefits from the strengths of each model. This approach can guide future improvements in estimating open-water evaporation, which is essential for large-scale water-resource management…”
#global #mapping #earthobservation #GIS #spatial #spatialanalysis #spatiotemporal #model #modeling #water #hydrology #surfacewater #waterbody #lake #reservoir #evaporation #evapotranspiration #watercycle #weather #meteorology #usecase #waterresources #watermanagement #waterloss #regional #estimate #policy #planning #instrumentation #comparasion

Global Performance of #RemoteSensing Based and Reanalysis-Driven Models to Estimate Open Water Evaporation
--
https://doi.org/10.1029/2025WR042363
--
“ABSTRACT: Evaporation plays an essential role in the water cycle, influencing local and regional climates while directly impacting water availability in lakes. However, directly measuring evaporation over water bodies remains challenging due to the high costs of installing and maintaining the required in situ instrumentation. Although several remote sensing algorithms have been providing evaporation estimates, the lack of a global validation hinders our understanding of their relative uncertainties and performances across different regions. Here, [they] analyze[d] the performance of a suite of models that leverage satellite data and meteorological reanalysis to estimate evaporation over lakes worldwide. [They] compare[d] three remote sensing-based models, one reanalysis-driven model and one ensemble approach, using in situ observations from 27 lakes representing a diverse range of geographic and climatic regions. [Their] results demonstrate that, overall, the ensemble outperformed any individual model in terms of accuracy, with a RMSE and a bias of 1.3 and 0.3 mm/day, respectively. These findings highlight the benefits of using an ensemble approach to estimate open water evaporation with satellite-based models at the global scale, leveraging the unique strengths of each model. For the individual models, differences in the representation of heat storage changes and advection effects led to lower values of RMSE and bias, depending on the location and depth of the lakes. This study sets the path for future improvement of open water evaporation algorithms globally, while remote sensing techniques are proven satisfactory to monitoring of water loss in lakes globally, an essential step toward effective large-scale water resources management.
PLAIN LANGUAGE SUMMARY: Water loss through evaporation in lakes and reservoirs directly affects water availability, which highlights the need to monitor these losses. However, measuring evaporation in situ is challenging and expensive. An alternative is to estimate evaporation using remote-sensing models and compare these estimates with in-situ data to verify their accuracy. Here, [they] evaluated four models and their ensemble (the models' mean value) using measurements from 27 lakes and reservoirs worldwide. [They] found that the ensemble presented higher accuracy and consistency than any individual model because it benefits from the strengths of each model. This approach can guide future improvements in estimating open-water evaporation, which is essential for large-scale water-resource management…”
#global #mapping #earthobservation #GIS #spatial #spatialanalysis #spatiotemporal #model #modeling #water #hydrology #surfacewater #waterbody #lake #reservoir #evaporation #evapotranspiration #watercycle #weather #meteorology #usecase #waterresources #watermanagement #waterloss #regional #estimate #policy #planning #instrumentation #comparasion

Global Performance of #RemoteSensing Based and Reanalysis-Driven Models to Estimate Open Water Evaporation
--
https://doi.org/10.1029/2025WR042363
--
“ABSTRACT: Evaporation plays an essential role in the water cycle, influencing local and regional climates while directly impacting water availability in lakes. However, directly measuring evaporation over water bodies remains challenging due to the high costs of installing and maintaining the required in situ instrumentation. Although several remote sensing algorithms have been providing evaporation estimates, the lack of a global validation hinders our understanding of their relative uncertainties and performances across different regions. Here, [they] analyze[d] the performance of a suite of models that leverage satellite data and meteorological reanalysis to estimate evaporation over lakes worldwide. [They] compare[d] three remote sensing-based models, one reanalysis-driven model and one ensemble approach, using in situ observations from 27 lakes representing a diverse range of geographic and climatic regions. [Their] results demonstrate that, overall, the ensemble outperformed any individual model in terms of accuracy, with a RMSE and a bias of 1.3 and 0.3 mm/day, respectively. These findings highlight the benefits of using an ensemble approach to estimate open water evaporation with satellite-based models at the global scale, leveraging the unique strengths of each model. For the individual models, differences in the representation of heat storage changes and advection effects led to lower values of RMSE and bias, depending on the location and depth of the lakes. This study sets the path for future improvement of open water evaporation algorithms globally, while remote sensing techniques are proven satisfactory to monitoring of water loss in lakes globally, an essential step toward effective large-scale water resources management.
PLAIN LANGUAGE SUMMARY: Water loss through evaporation in lakes and reservoirs directly affects water availability, which highlights the need to monitor these losses. However, measuring evaporation in situ is challenging and expensive. An alternative is to estimate evaporation using remote-sensing models and compare these estimates with in-situ data to verify their accuracy. Here, [they] evaluated four models and their ensemble (the models' mean value) using measurements from 27 lakes and reservoirs worldwide. [They] found that the ensemble presented higher accuracy and consistency than any individual model because it benefits from the strengths of each model. This approach can guide future improvements in estimating open-water evaporation, which is essential for large-scale water-resource management…”
#global #mapping #earthobservation #GIS #spatial #spatialanalysis #spatiotemporal #model #modeling #water #hydrology #surfacewater #waterbody #lake #reservoir #evaporation #evapotranspiration #watercycle #weather #meteorology #usecase #waterresources #watermanagement #waterloss #regional #estimate #policy #planning #instrumentation #comparasion

Vanishing Spirits: Cognac

Years ago, photographer Ernie Button discovered an intriguing stain left behind in his whiskey glass after the last drops evaporated. That discovery led both to beautiful images and an entire scientific paper analyzing how the alcohol, surfactants, and polymers in the whiskey combined to leave such a uniform stain. Over the years, Button continued investigating liquor stains, looking at gin, rice whisky, and aging effects. Here, he’s turned his lens to cognac, producing stains that look like oil slicks, aerial landscapes, and even cartoonish faces! (Image and submission credit: E. Button)

“Crystal Garden – Seasons”

In this latest project, the Beauty of Science team explores colorful crystallization as chemicals precipitate out of evaporating solutions. The variety of shapes and colors is incredible. To see many more of these crystalline “gardens,” check out the video below and the project’s webpage. (Video and image credit: W. Zhu/Beauty of Science; via Colossal)

https://vimeo.com/1155318039?fl=pl&fe=cm

The Great Mediterranean Drain - How 70% Of Its Water Vanished In A Geological Crisis [sic]
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https://scitechdaily.com/the-great-mediterranean-drain-how-70-of-its-water-vanished-in-a-geological-crisis/ <-- shared technical article
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https://doi.org/10.1038/s41467-024-53781-6 <-- shared paper
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#GIS #spatial #mapping #model #modeling #spatialanalysis #spatiotemporal #Mediterranean #MediterraneanSea #MessinianSalinityCrisis #geologicalevent #geology #salinity #water #waterquality #impacts #salt #deposition #sediment #Atlantic #brine #evaporation #sealevel #isostatic #climatechange #geologichistory #chlorine #isotopes #halite

Negligible Impact On Precipitation From A Permanent Inland Lake In Central Australia
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https://doi.org/10.1029/2023GL103913 <-- shared paper
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“KEY POINTS:
• A climate model is used to test the hypothesis that creating a large lake in central Australia would increase rainfall
• Locally, surface cooling effects of the lake suppress the formation of precipitation
• Regionally, moisture from the lake is exported to other areas but the amount is small compared to natural variability in Australian rainfall..."”
#GIS #spatial #mapping #water #waterresources #hydrology #waterstorage #watersecurity #model #modeling #Australia #KatiThanda #LakeEyre #rainfall #precipitation #farming #agriculture #irrigation #climatemodel #evaporation #ET #evaporativecooling #proposal #research #bradfield #waterscheme #diversion #pumping #impact #spatialanalysis

How does #Hawking #Radiation REALLY work?

"Nothing can escape #BlackHoles, yet somehow they can lose #Mass by emitting #HawkingRadiation?!" - #TheScienceAsylum

https://www.youtube.com/watch?v=rrUvLlrvgxQ&ab_channel=TheScienceAsylum

#ScienceAsylum #NickLucid #Physics #Astrophysics #Conservation #Information #ConservationOfInformation #Energy #ConservationOfEnergy #QM #QuantumMechanics #QuantumPhysics #QFT #QuantumFieldTheory #FieldTheory #QuantumField #QuantumFields #Spacetime #VirtualParticles #Evaporation

Why Death Valley Is Full Of Polygons [salt flats, deserts, and dry lakes]
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https://physics.aps.org/articles/v16/31 <-- shared article
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https://doi.org/10.1103/PhysRevX.13.011025 <-- shared paper
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#GIS #spatial #mapping #spatialanalysis #model #modeling #salt #polygons #tiling #saltflats #saltdeserts #convection #research #chemistry #water #hydrology #soil #evaporation #evapotranspiration #precipitation #solution #salinity #DeathValley #numericalanalysis #numericalmodeling #numericalsimulation #simulation #groundwater

Will Japan release Fukushima water into the Pacific?

Officials in Japan have claimed that water exposed to radiation in the Fukushima nuclear disaster is now safe to dump into the Pacific. Environmentalists say the water is too contaminated.

by Julian Ryall , November 20, 2019

"#TEPCO and the government [of #Japan] have long believed that the best way to dispose of the water is to simply release it into the #ocean. They claimed until this year that contaminated water had been cleansed by a so-called advanced liquid processing system to the point that virtually all the radionuclides had been reduced to 'non-detect' levels.

"Leaked TEPCO documents, however, show that varying amounts of 62 radionuclides — including #strontium, #iodine, #cesium and #cobalt — have not been removed from the water.

"The company has also been criticized for refusing to permit independent organizations to test the water that is being stored at the site.

"Nevertheless, environmentalists fear that preparations are under way to release the water into the environment.

"'Even a year ago, when the first report on options for disposing the treated water was presented to the committee, it seemed clear to me even then that the preferred option was to release it into the ocean,' said Azby Brown, the lead researcher for Tokyo-based nuclear monitoring organization #Safecast Japan. Other options included #evaporation and burying the water.

"'My take on this is that they have already reached a decision and that all these discussions now on the options are purely theater.'"

#FukushimaWater #NoDumping #WaterIsLife #StopTEPCO #NoNukes #TEPCOLies #OpTEPCO #PacificOcean #FukushimaAnniversary #NoNewNukes #AtomkraftNeinDanke #AntiAtom

https://www.dw.com/en/japan-environmentalists-say-fukushima-water-too-radioactive-to-release/a-51331676

The Incredible Tech of the Vacuum-Seal Flask - I recently started using a 50-year-old vacuum-seal flask that belonged to my Grand... - https://hackaday.com/2021/10/21/the-incredible-tech-of-the-vacuum-seal-flask/ #inthishouseweobeythelawsofthermodynamics #heatconduction #thermodynamics #sirjamesdewar #vacuumsealed #endothermic #evaporation #convection #dewarflask #exothermic #radiation #featured #interest #history #science #thermos