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001 9910713872903321
005 20200826120833.0
035   $a(CKB)5470000002504963
035   $a(OCoLC)1190755848
035   $a(EXLCZ)995470000002504963
100   $a20200826d2020      ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFinite-surface integration algorithm for improving the forecast of cloudy-sky DNI /$fYu-Konsta Xie [and five others]
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2020.
215   $a1 online resource (13 pages) $ccolor illustrations, color maps
225 1 $aNREL/PR ;$v5D00-75800
300   $aSlideshow presentation.
300   $a"100th AMS Annual Meeting, January 15, 2020, Boston, MA."
300   $a"Funding provided by U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Solar Energy Technologies Office"--Page 4 of cover.
517 3 $aFinite-surface integration algorithm for improving the forecast of cloudy-sky direct normal irradiance
606   $aSolar radiation$zUnited States$vObservations
606   $aSpectral irradiance$zUnited States$vObservations
606   $aSolar energy$zUnited States$vObservations
615  0$aSolar radiation
615  0$aSpectral irradiance
615  0$aSolar energy
700   $aXie$b Yu-Konsta$01392816
712 02$aNational Renewable Energy Laboratory (U.S.),
712 02$aUnited States.$bDepartment of Energy.$bOffice of Energy Efficiency and Renewable Energy,
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910713872903321
996   $aFinite-surface integration algorithm for improving the forecast of cloudy-sky DNI$93448150
997   $aUNINA