The CMSAF hourly solar irradiance database (product CM54): Accuracy and bias corrections with illustrations for Romania (south-eastern Europe)

被引:16
作者
Badescu, Viorel [1 ,3 ]
Dumitrescu, Alexandru [2 ]
机构
[1] Univ Politehn Bucuresti, Candida Oancea Inst, Bucharest 060042, Romania
[2] Natl Meteorol Adm, Bucharest 013686, Romania
[3] Acad Romana, Bucharest, Romania
关键词
Heliosat family; MAGICSOL algorithm; Bias correction; Romania; SATELLITE DATA; RADIATION; IMAGES;
D O I
10.1016/j.jastp.2012.12.001
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Product CM54 of CMSAF (Climate Monitoring Satellite Application Facility) consists of Surface Incoming Shortwave Radiation (SIS). This product is obtained by using the MAGICSOL algorithm, which needs only the broadband visible channel as Meteosat satellites input. Hourly, daily and monthly averaged data sets are available, covering on a regular 0.03 x 0.03 degrees grid the Meteosat scene up to a scanning angle of 70 degrees. The CM54 product has been tested by using global hourly averaged solar irradiance data measured in 2010 in five Romanian meteorological stations. The available satellite database is structured into three sub-databases. Two databases (Z85 and Z75) consist of recordings associated with solar zenith angle Z < 85 degrees and Z < 75 degrees, respectively. A third database (Z85SIS+) was obtained by removing from the database Z85 the null irradiance values. The databases Z85 and Z75 underestimate the measured values and their RMSE is relatively similar, around 35%. The database Z85SIS+ has MBE and RMSE values around 0.1% and 25%, respectively. Independent of the database, MBE increases while RMSE decreases by increasing the fractional cloudiness class. The database Z85SIS+ has an MBE between -1% and 1%, independent of the cloudiness class. The RMSE of Z85SIS+ database is about 9%, 20% and 37% for clear skies, vaguely and partly cloudy skies and overcast skies, respectively. The CM54 product overestimates the ground-based measurements at small zenith angles and underestimates at very large zenith angles. Regression relationships have been prepared to remove the bias errors from the database Z85SIS+. These relationships are function of location, total cloud cover amount and class of zenith angle. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:100 / 109
页数:10
相关论文
共 27 条
[1]   Solar resources estimation combining digital terrain models and satellite images techniques [J].
Bosch, J. L. ;
Baffles, F. J. ;
Zarzalejo, L. F. ;
Lopez, G. .
RENEWABLE ENERGY, 2010, 35 (12) :2853-2861
[2]   A METHOD FOR THE DETERMINATION OF THE GLOBAL SOLAR-RADIATION FROM METEOROLOGICAL SATELLITE DATA [J].
CANO, D ;
MONGET, JM ;
ALBUISSON, M ;
GUILLARD, H ;
REGAS, N ;
WALD, L .
SOLAR ENERGY, 1986, 37 (01) :31-39
[3]   Simulating Meteosat-7 broadband radiances using two visible channels of Meteosat-8 [J].
Cros, S ;
Albuisson, M ;
Wald, L .
SOLAR ENERGY, 2006, 80 (03) :361-367
[4]  
Czeplak G., 1991, Renewable Energy, V1, P737, DOI 10.1016/0960-1481(91)90021-G
[5]   On the reliability of HELIOSAT method: A comparison with experimental data [J].
Dountio, E. Guemene ;
Njomo, D. ;
Fouda, Efa ;
Simo, A. .
SOLAR ENERGY, 2010, 84 (06) :1047-1058
[6]  
EUMETSAT, 2011, SAT APPL FAC CLIM MO
[7]  
EUMETSAT, 2010, SAT APPL FAC CLIM MO
[8]   A new solar radiation database for estimating PV performance in Europe and Africa [J].
Huld, Thomas ;
Mueller, Richard ;
Gambardella, Attilio .
SOLAR ENERGY, 2012, 86 (06) :1803-1815
[9]   Development of a method for generating operational solar radiation maps from satellite data for a tropical environment [J].
Janjai, S ;
Laksanaboonsong, J ;
Nunez, M ;
Thongsathitya, A .
SOLAR ENERGY, 2005, 78 (06) :739-751
[10]   Estimation of solar radiation over Cambodia from long-term satellite data [J].
Janjai, S. ;
Pankaew, P. ;
Laksanaboonsong, J. ;
Kitichantaropas, R. .
RENEWABLE ENERGY, 2011, 36 (04) :1214-1220