Assessment of NASA’s Physiographic and Meteorological Datasets as Input to HSPF and SWAT Hydrological Models

Assessment of NASA’s Physiographic and Meteorological Datasets as Input to HSPF and SWAT Hydrological Models

Vladimir J. Alarcon (Geosystems Research Institute & Northern Gulf Institute, Mississippi State University, USA), Joseph D. Nigro (Science Systems and Applications, Inc., & NASA Goddard Space Flight Center, USA), William H. McAnally (Northern Gulf Institute, Mississippi State University, USA), Charles G. O’Hara (Geosystems Research Institute, Mississippi State University, USA), Edwin T. Engman (Edwin T. (Ted) EngmanNASA Goddard Space Flight Center, USA) and David Toll (NASA Goddard Space Flight Center, USA)
DOI: 10.4018/978-1-4666-1924-1.ch001
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Abstract

This chapter documents the use of simulated Moderate Resolution Imaging Spectroradiometer land use/land cover (MODIS 12 Q1), NASA-LIS generated precipitation and evapo-transpiration (ET), and Shuttle Radar Topography Mission (SRTM) datasets (in conjunction with standard land use, topographical and meteorological datasets) as input to hydrological models routinely used by the watershed hydrology modeling community. The study is focused in coastal watersheds in the Mississippi Gulf Coast, although one of the test cases focuses in an inland watershed located in northeastern Mississippi, USA. The decision support tools (DSTs) into which the NASA datasets were assimilated were the Soil Water & Assessment Tool (SWAT) and the Hydrological Simulation Program Fortran (HSPF). These DSTs are endorsed by several US government agencies (EPA, FEMA, USGS) for water resources management strategies. These models use physiographic and meteorological data extensively. Precipitation gages and USGS gage stations in the region were used to calibrate several HSPF and SWAT model applications. Land use and topographical datasets were swapped to assess model output sensitivities. NASA-LIS meteorological data were introduced in the calibrated model applications for simulation of watershed hydrology for a time period in which no weather data were available (1997-2006). The performance of the NASA datasets in the context of hydrological modeling was assessed through comparison of measured and model-simulated hydrographs. Overall, NASA datasets were as useful as standard land use, topographical, and meteorological datasets. Moreover, NASA datasets were used for performing analyses that the standard datasets could not made possible, e.g., introduction of land use dynamics into hydrological simulations.
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Introduction

Hydrologic and water quality modeling, at the watershed scale, involves managing large volumes of data. The management of these large data volumes usually requires the linking of Geographical Information Systems (GIS) and hydrological models. GIS programs are used for extracting and summarizing geographical information from private or public-domain geo-databases for the purposes of watershed delineation, land use characterization, geographical positioning of hydro-chemical point sources, etc. Hydrological models receive formatted input data from the GIS programs and require additional meteorological and water quality data for simulation of hydrology and water quality in the watershed under study. Partially-existent or non-existent physiographic and meteorological data (precipitation, land use, topography, evapo-transpiration, etc.) oftentimes limit the application of hydrological models to certain areas in the US or the world.

NASA topographical and land use products have global coverage and frequent collection times; as such, they are excellent candidates for replacing or complementing datasets that are currently used by the watershed hydrology community. NASA Land Information System (LIS) models are able to generate time-series of meteorological and other forcing data for regions around the globe. Table 1 describes succinctly the standard physiographic datasets currently used by the watershed hydrology modeling community in the USA.

Table 1.
Datasets currently used watershed hydrology modeling in the USA
DatasetProviderLimitations
TopographyDEM: 300 m resolution, NED: 30 m resolutionUSGS (EPA, 2010a)Depending on the size of the watershed under study DEM could result a coarse approximation to actual relief
Land use, land coverGIRAS: 400 m resolution, NLCD: 30 m resolutionUSGS (EPA, 2010b; EPA, 2010c; USGS, 2005)Both datasets are outdated. The most current dataset is NLCD-2001, based in land use information collected during the 1990's
PrecipitationGage station records at hourly, daily frequenciesNCDC (NOAA, 2010)Several stations have incomplete time-series

NASA products match some of the current datasets specifications and offer updated physiographic and continuous meteorological time-series as shown in Table 2. The potential of NASA products for their use in watershed hydrology modeling is evident.

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