1. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 610500, China 2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 3. Sichuan Provincial Coalfield Surveying and Mapping Engineering Institute, Chengdu 610072, China 4. Agriculture Research Institute, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa 850000, China
The complex climatic environment and topographical structure of the Tibetan Plateau region have caused great troubles for the observation of hydrometeorological data. The lack of effective high-temporal resolution observation data has become an important obstacle to regional meteorological forecasting and prediction. Based on the 2001—2015 tropical rainfall measurement mission (TRMM) precipitation product, the authors used the 1 km resolution enhanced vegetation index (EVI) spatial data to calculate the downscaling based on the geographically weighted regression(GWR) model. The downscaling results at the annual and monthly scales were tested and compared with the measured data from the ground stations. The results show that the spatial distribution characteristics of TRMM products before and after downscaling are generally consistent, but the accuracy of the results after downscaling is significantly higher than that of the original TRMM products. From 2001 to 2015, the correlation coefficient R2 of the precipitation of TRMM products after downscaling and the actual ground precipitation was higher than that of original TRMM, and the RMSE and MAE decreased by 21.652 mm and 16.379 mm, respectively. During these years, the accuracy of the original precipitation of TRMM products was relatively low, and hence further correction is required in utilization. The degree of fitting of the TRMM precipitation with the measured precipitation was significantly improved, except for June, August and November, R2 in other months was 0.65 or even higher, showing good consistency and applicability.
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Junnan XIONG, Wei LI, Zhiqi LIU, Weiming CHENG, Chunkun FAN, Jin LI. Research on downscaling of TRMM data in the Tibetan Plateau based on GWR model. Remote Sensing for Land & Resources, 2019, 31(4): 88-95.
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