Results 121 to 130 of about 41,216 (263)
Overconfident sea ice forecasts pose a challenge in subseasonal prediction. To test a potential way to address this issue and account for sea ice model uncertainty, this article investigates a stochastically perturbed parametrisations (SPP) scheme for sea ice in a prototype CY49R2 configuration of the coupled IFS‐NEMO4‐SI3 system. The results show that
Jonas Spaeth +7 more
wiley +1 more source
There has been an acceleration of groundwater loss in the Great Basin (GB) of the western U.S. as determined from total water storage (TWS) measurements from the GRACE/FO satellite missions.
Dorothy K. Hall +3 more
doaj +1 more source
ABSTRACT As ecosystem engineers, beavers (Castor canadensis) modify river corridor form through dam building. When beavers are removed from a river corridor, their unmaintained dams wash out, altering the stream's hydrologic regime. The assumption that beaver dams increase floodplain connectivity is frequently presumed but has not been directly ...
Kayla Schultz +4 more
wiley +1 more source
Exploring the Great Basin. [PDF]
C. Wilson Record, Gloria Griffen Cline
openaire +2 more sources
Reconstructing Long‐Term Historical Hydrologic Alteration to Support Environmental Flows in Texas
ABSTRACT Understanding and quantifying hydrologic alteration is essential for effective watershed management and ecological conservation. This study developed a modeling framework to predict reference hydrology and assess and model hydrologic alteration across Texas using publicly available geospatial datasets.
Mark B. Lueders +5 more
wiley +1 more source
ABSTRACT Terminal basins provide unique aquatic environments that are often highly sensitive to streamflow contributions, making them a focal point for environmental water management. However, the water needs for terminal lake, wetland, and river ecosystems, and how they relate, remain a fundamental knowledge gap that constrains our ability to ...
Belize Lane +9 more
wiley +1 more source
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román +8 more
wiley +1 more source
frontiermetrics: An R Package for Characterizing Deforestation Frontiers
Deforestation frontiers are major drivers of biodiversity loss, carbon emissions, and ecosystem degradation, yet our understanding of how deforestation progresses in these frontiers is limited. We present frontiermetrics, an R package to quantify a range of metrics describing the speed, severity, and spatio‐temporal patterns of forest loss. The package
Pablo Yair Huais +5 more
wiley +1 more source
We present a deep learning framework integrating remote sensing and SHAP interpretation to map 22‐year habitat dynamics of herbivorous waterbirds in Dongting Lake. Results show nearly 50% habitat loss, driven primarily by hydrological recession timing rather than static inundation extent.
Dongshuo Lu +6 more
wiley +1 more source
ABSTRACT Over recent decades, action‐oriented research has gained prominence in co‐producing actionable knowledge to drive transformative change toward sustainability. However, further methodological developments are needed to support the transition to the application phase of such knowledge.
María D. López‐Rodríguez +7 more
wiley +1 more source

