Title
Estimating Surface Air Temperature At A Regional Scale For North China By Remote Sensing
Abstract
Regional surface air temperature is a significant indicator to research the climate and monitor the environment. In order to estimate surface air temperature in regional scale by remote sensing observations, the study based on the improved advection-energy balance for the surface air temperature (ADEBAT) model to acquire surface air temperature in North China. Results showed that the improved ADEBAT model performed well, the retrieved air temperature had good agreements with measurements from weather stations, with correlations coefficients (R-2) of 0.73, 0.78 and root mean square error (RMSE) of 0.6 degrees C, 0.5 degrees C, respectively, on two days.
Year
DOI
Venue
2016
10.1109/IGARSS.2016.7730537
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Keywords
Field
DocType
surface air temperature, remote sensing
Meteorology,Land surface temperature,Computer science,Atmospheric temperature,Remote sensing,Mean squared error,Atmospheric model,Atmospheric sciences,Air temperature,Temperature measurement
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
1
8
Name
Order
Citations
PageRank
Suhua Liu111.02
Hongbo Su23822.40
Renhua Zhang33016.98
Jing Tian43520.03
Shaohui Chen5269.98
Weimin Wang604.06
Lijun Yang701.01
Hong Liang801.01