中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparison of approaches to spatiotemporally interpolate land surface air temperature for the Qinghai-Tibet Plateau

文献类型:期刊论文

作者Shen, Fengbei1,2; Xu, Chengdong1,2; Hu, Maogui2
刊名ENVIRONMENTAL EARTH SCIENCES
出版日期2023-10-01
卷号82期号:19页码:14
关键词The Qinghai-Tibet Plateau Surface air temperature (SAT) interpolation Heterogeneity Spatiotemporal kriging
ISSN号1866-6280
DOI10.1007/s12665-023-11151-3
通讯作者Xu, Chengdong(xucd@lreis.ac.cn)
英文摘要The Qinghai-Tibet Plateau has complex geomorphic features, which makes it difficult to interpolate surface air temperature precisely because of sparse samples and intensive spatial variations. Different interpolation methods have been developed, and they perform differently under various situations. The statistical errors of interpolation methods are determined by the population properties, the condition of the samples, and the adequacy of covariates. However, few studies have focused on optimal interpolation strategies for Qinghai-Tibet Plateau. In this study, seven typical interpolation models were used and compared. The model-based methods (e.g., ordinary kriging), design-based methods (inverse distance weight (IDW), thin plate splines (TPS), and combined methods (e.g., spatiotemporal regression kriging) were considered. Using auxiliary information, spatiotemporal ordinary kriging, and spatiotemporal stratified kriging models were built. Methods were evaluated by cross validation with mean absolute error (MAE) and root-mean-square error (RMSE). Results showed that for both of the index (RMSE, MAE), spatiotemporal kriging stratified by seasons (1.016 degrees C RMSE, 0.767 degrees C MAE) < spatiotemporal kriging stratified by climate regions (1.018 C, 0.767 degrees C) < spatiotemporal ordinary kriging (1.022 C, 0.774 degrees C) < spatiotemporal regression kriging (1.058 C, 0.806 degrees C) < TPS (1.551 C, 1.143 degrees C) < ordinary kriging (2.674 C, 2.044 degrees C) < IDW (2.917 C, 2.296 degrees C). In conclusion, under the condition of sparsely distributed stations and complex geomorphic features in the study area, taking advantages of time dimensional information, spatiotemporal heterogeneity and covariates (i.e., elevation) can improve interpolation precision effectively.
WOS关键词SPATIAL INTERPOLATION ; CLIMATE VARIABLES ; RESOLUTION ; REGRESSION ; CHINA ; VARIABILITY ; RAINFALL ; MODELS
资助项目National Science Foundation of China[41971357] ; National Science Foundation of China[42130713]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Water Resources
语种英语
WOS记录号WOS:001065240800008
出版者SPRINGER
资助机构National Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/198043]  
专题中国科学院地理科学与资源研究所
通讯作者Xu, Chengdong
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Shen, Fengbei,Xu, Chengdong,Hu, Maogui. Comparison of approaches to spatiotemporally interpolate land surface air temperature for the Qinghai-Tibet Plateau[J]. ENVIRONMENTAL EARTH SCIENCES,2023,82(19):14.
APA Shen, Fengbei,Xu, Chengdong,&Hu, Maogui.(2023).Comparison of approaches to spatiotemporally interpolate land surface air temperature for the Qinghai-Tibet Plateau.ENVIRONMENTAL EARTH SCIENCES,82(19),14.
MLA Shen, Fengbei,et al."Comparison of approaches to spatiotemporally interpolate land surface air temperature for the Qinghai-Tibet Plateau".ENVIRONMENTAL EARTH SCIENCES 82.19(2023):14.

入库方式: OAI收割

来源:地理科学与资源研究所

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