Ruijin Ma, Ph.D.
Mark P. Kumler, Ph.D.
Due to the remote nature of Joshua Tree National Park, few direct measurements of precipitation exist. This is especially true of summer monsoon events, which are localized and discrete yet provide all of the summer rainfall for the region. These events have an impact on wildlife, vegetation, and infrastructure. This project incorporated NEXRAD WSR-88D Level II data into a GIS environment to process rainfall events in order to enhance the park’s monitoring capability. An empirical relationship was derived to produce rainfall estimates from radar reflectivity data more accurately for the region. A toolset was developed within ArcGIS to automatically reformat and process NEXRAD datasets to produce precipitation data for monsoon events, with rainfall locations and amounts. This toolset also included methods to provide information on the amount of runoff, infiltrated water, and accumulated water volume produced from a precipitation event. These products can be fully integrated with vegetation information, facilities, and infrastructure locations for vegetation habitat modeling and infrastructure management.
Gleason, A. L. (2013). Translating Monsoon Event Precipitation into Rainfall Estimates for Joshua Tree National Park (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/197
Estimating Monsoon Rainfall from NEXRAD reflectivity for Joshua Tree National Park (Poster)
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