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Remote Sensing for Land & Resources    2019, Vol. 31 Issue (4) : 88-95     DOI: 10.6046/gtzyyg.2019.04.12
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Research on downscaling of TRMM data in the Tibetan Plateau based on GWR model
Junnan XIONG1,2, Wei LI1, Zhiqi LIU3, Weiming CHENG2(), Chunkun FAN4, Jin LI1
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
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Abstract  

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 R 2 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, R 2 in other months was 0.65 or even higher, showing good consistency and applicability.

Keywords GWR      Tibetan Plateau region      TRMM      downscaling     
:  P237  
  P94  
Corresponding Authors: Weiming CHENG     E-mail: chengwm@lreis.ac.cn
Issue Date: 03 December 2019
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Junnan XIONG
Wei LI
Zhiqi LIU
Weiming CHENG
Chunkun FAN
Jin LI
Cite this article:   
Junnan XIONG,Wei LI,Zhiqi LIU, et al. Research on downscaling of TRMM data in the Tibetan Plateau based on GWR model[J]. Remote Sensing for Land & Resources, 2019, 31(4): 88-95.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.04.12     OR     https://www.gtzyyg.com/EN/Y2019/V31/I4/88
Fig.1  Main meteorological stations and elevation distribution in the study area
Fig.2  Typical monthly TRMM precipitation and downscaling results
Fig.3  TRMM original precipitation, downscaling precipitation and measured precipitation scatter plot
年份 TRMM① GWR
BIAS RMSE/
mm		 MAE/
mm		 BIAS RMSE/
mm		 MAE/
mm
2001年 0.567 49.884 28.221 -0.017 16.210 7.897
2002年 0.369 41.850 22.270 -0.010 18.565 9.706
2003年 0.447 45.651 24.042 -0.016 19.260 10.960
2004年 0.422 49.047 26.162 0.003 19.620 11.417
2005年 0.488 36.448 21.953 0.006 17.948 9.446
2006年 0.374 35.606 20.377 -0.023 14.025 8.586
2007年 0.394 41.145 22.329 -0.018 18.671 9.941
2008年 0.359 38.370 22.579 -0.001 19.061 10.339
2009年 0.729 51.062 26.593 0.001 25.436 13.405
2010年 0.564 44.580 27.743 0.035 16.068 9.714
2011年 0.497 40.107 23.805 -0.011 14.283 8.107
2012年 0.524 40.679 25.075 0.037 16.690 9.834
2013年 0.471 38.047 24.819 0.002 20.068 11.994
2014年 0.482 43.960 25.261 -0.004 19.977 10.723
2015年 0.502 34.286 21.998 -0.006 16.012 9.515
Tab.1  Comparison of TRMM original precipitation and downscaling precipitation results
Fig.4  Annual scale TRMM original precipitation (blue), downscale precipitation (black) and measured precipitation scatter plot
Fig.5  Monthly scale TRMM precipitation(blue), downscaling precipitation(black) and measured precipitation scatter plot
Fig.6  Monthly precipitation curve
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