This program represents a NOAA/NWS effort to create a cost-effective continuum of basic and applied research through collaborative research between the Hydrology Laboratory of the NWS Office of Hydrologic Development and academic communities or other private or public agencies which have expertise

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in the hydrometeorologic, hydrologic, and hydraulic routing sciences, as well as those aspects of social sciences that apply to hydrologic and water resources forecasting and how information on those forecasts is distributed and assimilated by managers and the public.

These activities will engage researchers and students in basic and applied research to improve the scientific understanding of river forecasting.

Ultimately these efforts will improve the accuracy of forecasts and warnings of rivers and flash floods by applying scientific knowledge and information to NWS research methods and techniques, resulting in a benefit to the public.

NOAA's program is designed to complement other agency contributions to that national effort.

This Program addresses two NOAA goals:
(1) Understand Climate Variability and Change To Enhance Society's Ability To Plan and Respond and (2) Serve Society's Needs for Weather and Water Information.

NOAA will give sole attention to individual proposals addressing the following science priority:
Use of weather observations and weather and climate forecasts for the improvement of hydrologic and water resources forecasts.

The Office of Hydrologic Development is interested in receiving proposals that demonstrate the use of in situ and remote sensing techniques for weather, hydrologic and water resources observations; numerical weather and climate forecasts; and coupled surface and groundwater systems, to demonstrate how the combination of those techniques could enhance hydrologic and water resources forecasts.

OHD is specifically interested in the use of cost- effective observation techniques that are applicable at high spatial resolution to large areas and that, in combination with land surface models, allow the estimation of soil moisture profiles in areas subject to artificial irrigation.