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An Overview Of Rainfall-Runoff Model Types, Jan Sitterson, Chris Knightes, Rajbir Parmar, Kurt Wolfe, Brian Avant, Muluken Muche
An Overview Of Rainfall-Runoff Model Types, Jan Sitterson, Chris Knightes, Rajbir Parmar, Kurt Wolfe, Brian Avant, Muluken Muche
International Congress on Environmental Modelling and Software
This paper aims to inform the audience of the strengths and weaknesses of various rainfall-runoff models. Runoff plays an important role in the hydrological cycle by returning excess precipitation to the oceans and controlling how much water flows into water systems. Water resource managers use runoff data from models to help understand, control, and monitor the quality and quantity of water resources. Access to runoff data can be time consuming and restrictive. The goal of the USEPA’s Hydrologic Micro Service (HMS) project is to develop a collection of interoperable water quantity and quality modeling components that leverage existing internet-based data …
A Survey Of Precipitation Data For Environmental Modeling, Jan Sitterson, Chris Knightes, Rajbir Parmar, Kurt Wolfe, Brian Avant, Deron Smith
A Survey Of Precipitation Data For Environmental Modeling, Jan Sitterson, Chris Knightes, Rajbir Parmar, Kurt Wolfe, Brian Avant, Deron Smith
International Congress on Environmental Modelling and Software
There is always a challenge of obtaining the “best” data to inform environmental models. Here we present different types of available precipitation datasets while detailing temporal and spatial resolution, potential errors in the dataset, and optimal performance scenarios. Our goal is to inform modelers of the various types, resolutions, and sources of precipitation data available for environmental modeling. Precipitation is the main driver in the hydrological cycle and modelers use this information to understand water quality and water availability. Environmental models use observed precipitation information for modeling past or current conditions, while simulated data are used to predict future conditions …