Observational Hydrology and Modeling

Creating Foundational Knowledge in Hydrometeorological Process Understanding Through Strategic Observational Capabilities

Observations of hydrometeorological processes provide foundational understanding of how weather and hydrologic phenomena combine to create both societal risks and key societal resources.  The Hydrometeorological Applications Program has developed and deployed innovative observations in field programs around the world to create new knowledge.  Several of these projects are described in the links to the right of this page and they detail ongoing work in a variety of climate and physiographic settings.  These new observations also become the cornerstone of building robust hydrometeorological predictive models which, in turn, help us prepare for extreme events and environmental change.

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Search through all publications in NCAR's OpenSky Library.

Gochis, D.J, K. Howard, J. Busto, J. Deems, N. Coombs, L. Tang, I. Maycumber, K. Bormann, L. Karsten, A. Dugger, N. Langley, J. Mickey, T. Painter, M. Rchardson, and S.M. Skiles, 2016: Upper Rio Grande Basin Snowfall Measurement and Streamflow (RIO-SNO-FLOW) Forecasting Improvement Project. Project report submitted to the Colorado Water Conservation Board. Available online at: http://cwcb.state.co.us/public-information/publications/Pages/StudiesRep....

Karsten, L., D.J. Gochis, A. Dugger, K. Howard, L. Tang, J. Deems, T. Painter, G. Fall, C. Olheiser, 2016: Assessing the impact of operational meteorological forcings and experimental radar snowfall estimates on simulated snowpack conditions in the headwaters of the Upper Rio Grande River basin, In preparation.

Xiang, T., E.R. Vivoni, D.J. Gochis, and G. Mascaro, 2016a: On the diurnal cycle of surface energy fluxes in the North American monsoon region using the WRF-Hydro modeling system, J. Geophys. Res., in revision.

Xiang, T., E. Vivoni and D. Gochis, 2016b, Influence of Initial Soil Moisture and Vegetation Conditions on Monsoon Precipitation Events in Northwest México. In preparation for submission to Atmosfera.

Observational Hydrology and Modeling