Vegetation response to precipitation is important for near-term weather predictability, and researchers show that such a response can occur within a few days and last up to two months.
The Lut Desert in Iran is an exceptional natural laboratory to study how wind moves sediment across the landscape. A new study quantifies erosional and depositional sediment fluxes of the desert.
Cloud-to-ground lightning is found to be the most important controller of wildfire occurrence in the Artic tundra of Alaska from 2001 to 2019.
Soil clay content is an important characteristic that affects many hydraulic and mechanical properties of soil; clay mineral type is important for their prediction.
Despite conventional assumptions, a new study shows that evolutionary proximity of species defines root water uptake strategies, not their position in landscape or ambient environment.
New research provides a theoretical explanation of channel cross section geometry dependence on flow rate that is commonly observed and described with power-laws.
A rare atmospheric phenomenon that transports large quantities of water vapor into the coastal watersheds of the western USA is responsible for up to 10–20% of intense snowmelt events in the region.
Terrestrial water loss may explain the lack of previous budget closure in global mean sea level rise.
A new deep learning approach bridges ground rain gauge and radar data with spaceborne radar observations of Tropical Rainfall Measuring Mission to improve precipitation estimation.
The 2021 Surface Water and Ocean Topography (SWOT) mission will measure water surface elevation, slopes, and inundations of rivers as narrow as 50 meters.