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Cooperative Institute for Research to Operations in Hydrology

Improving modeling and forecast product delivery in agricultural lands

Research Team Members

Souleymane Fall - Tuskegee University
Raymon Shange - Tuskegee University
Fan Wu - Tuskegee University

Objective:

Assess the capacity of the NWM to accurately simulate streamflow for USGS gage stations and develop an agricultural management decision-making tool utilizing the NWM outputs and crop water requirements and conditions.

Abstract:

The ability of the National Water Model (NWM) to accurately forecast short-term dynamics of
streamflow could be critical for the development of proactive agricultural management plans
and decisions including planting time, irrigation scheduling, nutrient and pesticide
management, and other activities that aim at optimizing crop production and ensuring
sustainable management of agricultural lands and water related hazards. The project goal is to
utilize, customize, and translate NextGen NWM forecast into useful products and decision
support system to enhance agricultural applications for rural and limited resources farmers, as
well as improve NextGen NWM modeling performance with rural agricultural watersheds.
Project products and decision support systems is expected to help optimize agricultural
practices for rural communities while outreach and extension activities will help develop their
adaptive capacity for managing water-related issues.