A Calibrated,High‐Resolution GOES Satellite Solar Insolation Product for a Climatology of Florida Evapotranspiration1 |
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Authors: | Simon J Paech John R Mecikalski David M Sumner Chandra S Pathak Quinlong Wu Shafiqul Islam Taiye Sangoyomi |
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Institution: | 1. Respectively, Research Associate and Assistant Professor (Paech and Mecikalski), Department of Atmospheric Sciences, University of Alabama in Huntsville, Huntsville, Alabama;2. Hydrologist (Sumner), U.S. Geological Survey, Florida Integrated Science Center, Orlando, Florida;3. Principal Engineer, Senior Engineer, and Lead Engineer (Pathak, Wu, and Sangoyomi), Operations and Hydro Data Management Division, South Florida Water Management District, West Palm Beach, Florida;4. Professor (Islam), Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts |
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Abstract: | Paech, Simon J., John R. Mecikalski, David M. Sumner, Chandra S. Pathak, Quinlong Wu, Shafiqul Islam, and Taiye Sangoyomi, 2009. A Calibrated, High‐Resolution GOES Satellite Solar Insolation Product for a Climatology of Florida Evapotranspiration. Journal of the American Water Resources Association (JAWRA) 45(6):1328‐1342. Abstract: Estimates of incoming solar radiation (insolation) from Geostationary Operational Environmental Satellite observations have been produced for the state of Florida over a 10‐year period (1995‐2004). These insolation estimates were developed into well‐calibrated half‐hourly and daily integrated solar insolation fields over the state at 2 km resolution, in addition to a 2‐week running minimum surface albedo product. Model results of the daily integrated insolation were compared with ground‐based pyranometers, and as a result, the entire dataset was calibrated. This calibration was accomplished through a three‐step process: (1) comparison with ground‐based pyranometer measurements on clear (noncloudy) reference days, (2) correcting for a bias related to cloudiness, and (3) deriving a monthly bias correction factor. Precalibration results indicated good model performance, with a station‐averaged model error of 2.2 MJ m?2/day (13%). Calibration reduced errors to 1.7 MJ m?2/day (10%), and also removed temporal‐related, seasonal‐related, and satellite sensor‐related biases. The calibrated insolation dataset will subsequently be used by state of Florida Water Management Districts to produce statewide, 2‐km resolution maps of estimated daily reference and potential evapotranspiration for water management‐related activities. |
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Keywords: | solar insolation evapotranspiration remote sensing water resources management reference evapotranspiration Penman‐Monteith |
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