Researchers successfully implement distributed hydrological modeling in deep neural networks
In recent years, with the accumulation of Earth’s big data, data-driven methods ...
2024-04-30Research News
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Researchers highlight urgent need for improved modeling of evapotranspiration sensitivity to vegetation change
Concerns regarding the interactions between vegetation and climate extend over a...
2024-04-24 -
Researchers use machine learning to guide global agricultural ammonia emissions reduction
Ammonia (NH3) is a major air pollutant and a key driver of smog formation. Agric...
2024-02-01 -
Researchers show organic nitrogen aerosol to be important contributor to global atmospheric nitrogen deposition
Atmospheric deposition of organic nitrogen (ON) plays a crucial role in the glob...
2023-10-07 -
Upward shift of mountain treeline due to climate change from global remote sensing-based analysis
Mountain treelines are important indicators of the impact of climate change on u...
2023-09-06 -
Researchers reveal dynamic behavior of cadmium and carbon during transformation of ferrihydrite
Cadmium (Cd) is considered an environmental pollutant, which often accumulates i...
2023-08-18 -
Researchers reveal how satellite altimetry can facilitate inland water monitoring as well as floods
Satellite altimetry has been widely used for inland water monitoring and modelin...
2023-07-31 -
Researchers analyze how satellites can help improve ozone simulations in Asia
Long-term exposure to ozone increases the risk of premature mortality from respi...
2023-06-27 -
Researchers unveil mechanism of grassland restoration in Gobi Desert through deep learning
Since the 1980s, a remarkable global phenomenon known as “earth greening” (i.e.,...
2023-06-19 -
SUSTech’s Junguo LIU awarded 2023 International Hydrology Prize
The International Association of Hydrological Sciences (IAHS) recently announced...
2023-06-07
