Development of high resolution and homogenized gridded land surface air temperature data: A case study over Pan-East Asia

Cheng, Jiayi, Li, Qingxiang, Chao, Liya, Maity, Suman, Huang, Boyin and Jones, Phil ORCID: https://orcid.org/0000-0001-5032-5493 (2020) Development of high resolution and homogenized gridded land surface air temperature data: A case study over Pan-East Asia. Frontiers in Environmental Science, 8. ISSN 2296-665X

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Abstract

The Land Surface Air Temperature (LSAT) climatology during the period of 1961–1990 and the anomalies (relative to the 1961–1990 climatology) have been developed over Pan-East Asian region at a (monthly) 0.5° × 0.5° resolution. The development of these LSAT data sets are based on the recently released C-LSAT station datasets and the high resolution Digital Elevation Model (DEM), and interpolated by the Thin Plate Spline (TPS) method (through ANUSPLIN software) and the Adjusted Inverse Distance Weighting (AIDW) method. Then they are combined into the high resolution gridded LSAT datasets (including the monthly mean, maximum, and minimum temperature). Considering the mean LSAT for example, the Cross Validation (CV) of the datasets indicates that the regional average of the Root Mean Square Error (RMSE) for the climatology is about 0.62°C, and the average RMSE and Mean Absolute Error (MAE) for the anomalies are between 0.47–0.90°C and 0.32–0.63°C during the study period. The analysis also demonstrate that the gridded anomalies describe the spatial pattern fairly well for the coldest (1912, 1969) and the warmest (1948, 2007) years during the first and second half of the 20th century. Further analysis reveals that the high resolution dataset also performs well in the estimation of long-term LSAT change trend. Thus it can be concluded that this newly constructed datasets is a useful tool for regional climate monitoring, climate change research as well as climate model verification.

Item Type: Article
Uncontrolled Keywords: adjusted inverse distance weight (aidw),gridded dataset,high resolution,land surface air temperature (lsat),thin plate spline (tps),environmental science(all),sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/2300
Faculty \ School: Faculty of Science > School of Environmental Sciences
UEA Research Groups: Faculty of Science > Research Groups > Climatic Research Unit
Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
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Depositing User: LivePure Connector
Date Deposited: 03 Nov 2020 01:07
Last Modified: 29 Jun 2023 11:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/77502
DOI: 10.3389/fenvs.2020.588570

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