Technical Papers
Jun 29, 2018

High-Resolution GOES Insolation–Evapotranspiration Data Set for Water Resource Management in Florida: 1995–2015

Publication: Journal of Irrigation and Drainage Engineering
Volume 144, Issue 9

Abstract

This paper reviews and summarizes the continued development of satellite-based estimates of insolation (incoming solar radiation), reference evapotranspiration (RET), and potential evapotranspiration (PET), computed for the State of Florida at 2-km resolution for the period from June 1, 1995, to December 31, 2015, which spans over 20 years. Insolation is a primary driver of evapotranspiration in Florida. Insolation maps generated from Geostationary Operational Environmental Satellite (GOES) imagery were used to compute PET and RET, calibrated to ground-based pyranometers. Uncalibrated model results over the 20-year period indicate a station-averaged model error of 2.1  MJm2day1 (12% of observed). Calibration reduced model errors to 1.6  MJm2day1 (9% of observed) and also removed temporal, seasonal, and satellite-sensor-related biases. As a means of demonstrating the integrity of these products, overviews of the GOES-derived insolation, PET, and RET fields are presented in terms of spatial and temporal patterns over Florida. Hydrologic features that create regional weather patterns and affect PET and RET include Lake Okeechobee and the Atlantic Gulf Stream current. Selected scientific and water-management applications are summarized, as well as planned enhancements to the insolation–ET algorithm.

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Acknowledgments

Support for this project was provided by the five Water Management Districts in the State of Florida, and by the US Geological Survey Cooperative Water Program. Guidance and support are appreciated from George Robinson and Gary Foster of St. Johns River WMD; Granville Kinsman and Michael Hancock of Southwest Florida WMD; John Raymond from South Florida WMD; Kathleen Coates from Northwest Florida WMD; Tom Mirti and John Goode from Suwannee River WMD; and Jennifer Jacobs of the University of New Hampshire. The authors also thank John Stamm (USGS) and two anonymous reviewers for helping to substantially improve the quality of this manuscript.

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Journal of Irrigation and Drainage Engineering
Volume 144Issue 9September 2018

History

Received: Aug 17, 2017
Accepted: Jan 4, 2018
Published online: Jun 29, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 29, 2018

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John R. Mecikalski [email protected]
Professor, Dept. of Atmospheric Sciences, Univ. of Alabama in Huntsville, Huntsville, AL 35805 (corresponding author). Email: [email protected]
W. Barclay Shoemaker
Research Hydrologist, US Geological Survey, Caribbean-Florida Water Science Center, Davie, FL 33314.
Qinglong Wu
Lead Engineer, Hydro Data Management Section, South Florida Water Management District, West Palm Beach, FL 33406.
Michael A. Holmes
Data Manager, US Geological Survey, Cherokee Nation Technology Solutions, Asheville, NC 28801.
Simon J. Paech
Data Analyst, Jupiter’s Call, LLC, Decatur, AL 35603.
David M. Sumner
Associate Director–Studies, US Geological Survey, Caribbean-Florida Water Science Center, Lutz, FL 33559.

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