Publication & Citation Trends
Publications
0 total
Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America
Cited by 2
Semantic Scholar
High‐Resolution National‐Scale Water Modeling Is Enhanced by Multiscale Differentiable Physics‐Informed Machine Learning OA
Cited by 17
Semantic Scholar
Residual Dynamics in Hydrological Models: Insights from a large sample of catchments and models
Cited by 3
Semantic Scholar
Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain OA
Cited by 14
Semantic Scholar
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling
Cited by 29
Semantic Scholar
Accurate and Efficient Numerical Simulation of Land Models Using SUMMA With SUNDIALS OA
Cited by 1
Semantic Scholar
FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America
Cited by 4
Semantic Scholar
Evaluating the parameter sensitivity and impact of hydrologic modeling decisions on flood simulations
Cited by 7
Semantic Scholar
Research Topics
Hydrology and Watershed Management Studies
(407)
Climate variability and models
(160)
Cryospheric studies and observations
(143)
Hydrological Forecasting Using AI
(130)
Flood Risk Assessment and Management
(125)
Affiliations
NSF National Center for Atmospheric Research
Goethe University Frankfurt
University of Hawaiʻi at Mānoa
United States Geological Survey
United Nations