DocumentCode :
3023266
Title :
Estimation of net surface longwave radiation for the Tibetan plateau region using MODIS data
Author :
Jiao Wang ; Xiao-Yu Zhang ; Bo-Hui Tang ; Hua Wu ; Zhao-Liang Li
Author_Institution :
Sch. of Environ. & Resources, Shanxi Univ., Taiyuan, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
477
Lastpage :
480
Abstract :
This paper proposed two methods to estimate the instantaneous downwelling surface longwave radiation (RL, D) using the MODIS measurements observed at the top of the atmosphere (TOA) over the Tibetan plateau region for clear-sky conditions. One is the method proposed by [2] and refined in this work, and the other is an artificial neural network (ANN) method. The upwelling surface longwave radiation (RL, U) was estimated using the Stefan-Boltzmann law with MODIS surface temperature/emissivity products (MOD11_L2). The two methods are all based on the atmospheric transfer simulation. The net surface longwave radiation (Rn, l) can then be obtained by differing the RL, D and the RL, U. The results showed that the RMSEs of the estimated RL, D and measured RL, D with the first method are smaller than those of with the ANN method for the sites over the Tibetan plateau region.
Keywords :
atmospheric radiation; atmospheric techniques; atmospheric temperature; emissivity; geophysics computing; neural nets; MOD11_L2; MODIS measurements; MODIS surface emissivity products; MODIS surface temperature products; Stefan-Boltzmann law; Tibetan plateau region; artificial neural network method; atmospheric transfer simulation; clear-sky conditions; instantaneous downwelling surface longwave radiation; net surface longwave radiation; top of the atmosphere; upwelling surface longwave radiation; Artificial neural networks; Atmospheric measurements; Atmospheric modeling; Land surface; MODIS; Table lookup; Temperature measurement; Downwelling surface longwave radiation; MODIS; Net surface longwave radiation; clear-sky conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721196
Filename :
6721196
Link To Document :
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