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A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale
Zhang, Renhua1; Rong, Yuan1; Tian, Jing1; Su, Hongbo1; Li, Zhao-Liang1; Liu, Suhua1
刊名REMOTE SENSING
2015
卷号7期号:5页码:32-39
通讯作者Tian, J (reprint author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China.
英文摘要This paper presents a method of estimating regional distributions of surface air temperature (T-a) and surface vapor pressure (e(a)), which uses remotely-sensed data and meteorological data as its inputs. The method takes into account the effects of both local driving force and horizontal advection on T-a and e(a). Good correlation coefficients (R-2) and root mean square error (RMSE) between the measurements of T-a/e(a) at weather stations and T-a/e(a) estimates were obtained; with R-2 of 0.77, 0.82 and 0.80 and RMSE of 0.42K, 0.35K and 0.20K for T-a and with R-2 of 0.85, 0.88, 0.88 and RMSE of 0.24hpa, 0.35hpa and 0.16hpa for e(a), respectively, for the three-day results. This result is much better than that estimated from the inverse distance weighted method (IDW). The performance of T-a/e(a) estimates at Dongping Lake illustrated that the method proposed in the paper also has good accuracy for a heterogeneous surface. The absolute biases of T-a and e(a) estimates at Dongping Lake from the proposed method are less than 0.5Kand 0.7hpa, respectively, while the absolute biases of them from the IDW method are more than 2K and 3hpa, respectively. Sensitivity analysis suggests that the T-a estimation method presented in the paper is most sensitive to surface temperature and that the e(a) estimation method is most sensitive to available energy.
研究领域[WOS]Remote Sensing
收录类别SCI ; EI
语种英语
WOS记录号WOS:000357596900011
内容类型期刊论文
源URL[http://ir.ceode.ac.cn/handle/183411/38440]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Zhang, Renhua
2.Tian, Jing
3.Su, Hongbo
4.Liu, Suhua] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
5.[Rong, Yuan] State Nucl Elect Power Planning Design & Res Inst, Beijing 100095, Peoples R China
6.[Tian, Jing] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
7.[Su, Hongbo] Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA
8.[Li, Zhao-Liang] Chinese Acad Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China
9.[Liu, Suhua] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Renhua,Rong, Yuan,Tian, Jing,et al. A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale[J]. REMOTE SENSING,2015,7(5):32-39.
APA Zhang, Renhua,Rong, Yuan,Tian, Jing,Su, Hongbo,Li, Zhao-Liang,&Liu, Suhua.(2015).A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale.REMOTE SENSING,7(5),32-39.
MLA Zhang, Renhua,et al."A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale".REMOTE SENSING 7.5(2015):32-39.
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