HR: 10:20h
AN: H42D-01 INVITED    [Abstracts]
TI: Assimilation of hydrologic and hydrometeorological data into lumped and distributed hydrologic models for improved operational hydrologic forecasting in NWS
AU: * Seo, D
EM: dongjun.seo@noaa.gov
AF: NOAA/National Weather Service, Office of Hydrologic Development, Hydrology Laboratory, 1325 East-West Highway, Silver Spring, MD 20910, United States
AU: * Seo, D
EM: dongjun.seo@noaa.gov
AF: University Corporation for Atmospheric Research, Visiting Scientist Programs, 3300 Mitchell Lane FL- 4 / VSP / Suite 2400, Boulder, CO 80301, United States
AU: Lee, H
EM: haksu.lee@noaa.gov
AF: NOAA/National Weather Service, Office of Hydrologic Development, Hydrology Laboratory, 1325 East-West Highway, Silver Spring, MD 20910, United States
AU: Lee, H
EM: haksu.lee@noaa.gov
AF: University Corporation for Atmospheric Research, Visiting Scientist Programs, 3300 Mitchell Lane FL- 4 / VSP / Suite 2400, Boulder, CO 80301, United States
AU: Restrepo, P
EM: pedro.restrepo@noaa.gov
AF: NOAA/National Weather Service, Office of Hydrologic Development, Hydrology Laboratory, 1325 East-West Highway, Silver Spring, MD 20910, United States
AB: Despite the long history and the renewed interest in recent years, automatic data assimilation in operational hydrology is yet to find widespread acceptance and use at the National Weather Service (NWS) River Forecast Centers (RFCs). To meet the new service needs for uncertainty-quantified high-resolution soil moisture and streamflow information, however, a new paradigm is necessary for operational data assimilation that fully capitalizes on automatic techniques and fast-advancing computing power, and that recognizes, and takes full advantage of, the role of human forecasters in the forecast process. Toward that goal, the NWS Office of Hydrologic Development in collaboration with RFCs and other partners is carrying out a number of data assimilation and related projects. In this talk, we present an overview of these activities in the context of hydrologic ensemble prediction, describe in some detail research, development and research-to-operations transition activities for automatic assimilation of streamflow, soil moisture, precipitation and potential evaporation into lumped and distributed soil moisture accounting and routing models, present results, and identify challenges in assimilating hydrologic and hydrometeorological data toward improving operational hydrologic forecasting.
DE: 1816 Estimation and forecasting
DE: 1840 Hydrometeorology
DE: 1847 Modeling
DE: 1860 Streamflow
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: 2007 Fall Meeting