DocumentCode :
3342946
Title :
Operational improvements in the performance of the SUNY satellite-to-solar irradiance model using satellite infrared channels
Author :
Dise, John ; Kankiewicz, Adam ; Schlemmer, James ; Hemker, Karl ; Kivalov, Sergey ; Hoff, Tom ; Perez, Roxana
Author_Institution :
Clean Power Res., Napa, CA, USA
fYear :
2013
fDate :
16-21 June 2013
Abstract :
Validation and operational improvements to the existing SUNY satellite-to-solar irradiance model through incorporation of four of the geostationary satellite infrared (IR) channels are presented herein. The SUNY model is the gridded data set used by NREL in the National Solar Radiation Database (NSRDB) and is available commercially through the Clean Power Research software, SolarAnywhere® Data. This improved model addresses the present model´s limitations when representing the irradiance conditions in circumstances of snow cover, high ground reflectance and persistent cloud cover. Improvements in the satellite-to-solar irradiance model have been realized using the IR channels to detect snow conditions and modulate the model background to more accurately reflect irradiance conditions.
Keywords :
atmospheric radiation; atmospheric techniques; calibration; reflectivity; snow; Clean Power Research software; IR channels; NREL; NSRDB; National Solar Radiation Database; SUNY satellite-to-solar irradiance model; SolarAnywhere Data; geostationary satellite infrared channels; gridded data set; high ground reflectance; irradiance conditions; persistent cloud cover; snow conditions; snow cover; Atmospheric modeling; Clouds; Data models; Land surface temperature; Reflectivity; Satellites; Snow; GOES; National Solar Radiation Database (NSRDB); SUNY satellite irradiance model; SolarAnywhere; snow conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photovoltaic Specialists Conference (PVSC), 2013 IEEE 39th
Conference_Location :
Tampa, FL
Type :
conf
DOI :
10.1109/PVSC.2013.6744301
Filename :
6744301
Link To Document :
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