DocumentCode :
3068325
Title :
Verification of a ground meteorological forcing dataset and its application on permafrost region of Qinghai-Tibetan Plateau
Author :
Hao Chen ; Zhuotong Nan
Author_Institution :
Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3610
Lastpage :
3613
Abstract :
Available climatic observation data are very limited in Qinghai-Tibetan Plateau (QTP) because of its severe physical environment. Great efforts have been made to assimilate remote sensing data and in situ observation data to produce qualified datasets. This study has verified the applicability of a ground meteorological forcing dataset named CMFD in a typical site (TGL) and a typical region (XKL) in QTP by the simulation of water-heat processes with land surface model (LSM). Results show that Noah LSM simulation with CMFD-derived forcing data can accurately present the water-heat conditions of individual site as well as typical region on QTP with an NSE of 0.818 for TGL site and mean annual ground temperature discrepancy less than 1 degree compared with observation data of 8 boreholes in the total 10 boreholes in XKL. It is proved that CMFD dataset can be used as reliable data source for simulation applications on QTP.
Keywords :
climatology; data assimilation; ice; land surface temperature; remote sensing; CMFD-derived forcing data; Noah land surface model simulation; QTP; Qinghai-Tibetan Plateau; TGL site; boreholes; climatic observation data; data source; ground meteorological forcing dataset CMFD; in-situ observation data; mean annual ground temperature discrepancy; permafrost region; remote sensing data assimilation; severe physical environment; simulation applications; water-heat conditions; water-heat processes; Atmospheric modeling; Data models; Land surface; Land surface temperature; Snow; Soil; Temperature distribution; Data analysis; geophysics computing; land surface; meteorological factors;
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.2013.6723611
Filename :
6723611
Link To Document :
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