1 Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO, USA, 2 Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado ...
A cutting-edge study is transforming the field of streamflow prediction. By harnessing the power of transfer learning, researchers have developed a model that significantly boosts the precision of ...
Ma, M., C. Liu, G. Zhao, H. Xie, P. Jia, D. Wang, H. Wang, and Y. Hong, 2019. Flash flood risk analysis based on machine learning techniques in the Yunnan Province ...
C. Bracken, B. Rajagopalan, & E. Zagona (2014). “A Hidden Markov Model Combined with Climate Indices for Multi-decadal Streamflow Simulation,” Water Resources Research, 50, 7836-7846. Abstract: ...
ABSTRACT This paper examines an archive containing over 40 years of 8-day atmospheric forecasts over the contiguous United States from the NCEP reanalysis project to assess the possibilities for using ...
This is a preview. Log in through your library . Abstract Subseasonal and seasonal forecasts of the atmosphere, oceans, sea ice, or land surfaces often rely on Earth system model (ESM) simulations.
Increasing demand for better information related to the flow of streams and rivers across the United States prompted the National Center for Atmospheric Research to create a high-resolution National ...
Jen Cuhaciyan, senior engineer with Idaho Power’s water resources and policy unit. Idaho Power streamflow forecasters are updating some of their software models in light of spring-discharge declines ...
Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep insights into ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback