Computational Hydrology

Research to improve the fundamental building blocks on which hydrometeorological analyses and climate assessments depend

Computational Hydrology

Introduction

Scientists and engineers in RAL’s Hydrometeorological Applications Program at the National Center for Atmospheric Research are collaborating with the U.S. Army Corps of Engineers, the Bureau of Reclamation, the National Atmospheric and Oceanic Administration, the U.S. Geological Survey, the U.S. Forest Service and multiple universities to build new community hydrologic research and applications datasets, models and methods that will advance our nation’s capability to monitor, predict and project hydrology and to inform water management and planning.  The work strives to address scientific gaps and serve practical needs across time and space scales – from quantifying long-term trends and variability, to predicting real-time flood and drought risk, to characterizing uncertainties in climate impacts assessments arising from a myriad of sources. Through developing improved methods, models, and datasets, this research improves the fundamental building blocks on which hydrometeorological analyses and applications depend. It provides useful tools and data resources for both researchers and practitioners to better manage current climate and flood risk, reveal future climate change risks, and to more effectively evaluate future change and adaptation options.

Computational Hydrology