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[1]LI Hui,YANG Tao,HE Qisheng,et al.Research on Accuracy Validation and Calibration Methods of TRMM in Tianshan Mountains of Xinjiang[J].Research of Soil and Water Conservation,2017,24(06):327-333.

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Research on Accuracy Validation and Calibration Methods of TRMM in Tianshan Mountains of Xinjiang

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 06 Page number: 327-333 Column: Public date: 2017-11-24

Title:: Research on Accuracy Validation and Calibration Methods of TRMM in Tianshan Mountains of Xinjiang

Author(s):: LI Hui^1,4, YANG Tao^1,2, HE Qisheng³, REN Weiwei^1,4; 1. State Key Laboratory of Oasis Ecology and Desert Environment, Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China;
2. State Key Laboratory of Hydrology Water Resources and Hydraulics Engineering, Hohai University, Nanjing 210098, China;
3. Earth Science and Engineering, Hohai University, Nanjing 210098, China;
4. University of Chinese Academy of Sciences, Beijing 100049, China

Keywords:: Tianshan Mountains; TRMM; calibration; CART; accuracy validation

CLC:: K903

DOI:: -

Abstract:: Based on the NDVI data after time series reconstruction, we used DEM data to extract the geographical factors, such as slope and aspect, using the method of CART, and mainly calibrated the TRMM3B43 monthly precipitation data in the Tianshan Mountains lacking of observed precipitation data. We used the 25 stations precipitation data to test the precision of TRMM precipitation data and TRMM precipitation data after calibration, respectively. The results showed that TRMM monthly precipitation had a good consistency with observed data,there was a significant linear correlation relationship, but had a the significant deviation. The coefficient of determination (R²) between TRMM precipitation and observed precipitation decreased with time, the relative error (δ) and root mean square error (RMSE) increased, illustrating that the precision of remote sensing data of TRMM decreased with time; the accuracy of TRMM precipitation after calibration had been significantly improved, R² were 0.97, 0.87 and 0.83, which was between TRMM precipitation and observed precipitation on different temporal scales of month, season and year, and increased by more than 10% compared to the previous correction, deviation had decreased obviously. The results proved that the calibration method of CART to the TRMM precipitation data in Tianshan Mountains was feasible.

References:: [1] 刘奇,傅云飞.基于TRMM/TMI的亚洲夏季降水研究[J].中国科学D辑:地球科学,2007,37(1):111-122.
[2] 朱会义,贾绍凤.降雨信息空间插值的不确定性分析[J].地理科学进展,2004,23(2):34-42.
[3] 吴雪娇,杨梅学,吴洪波,等. TRMM多卫星降水数据在黑河流域的验证与应用[J].冰川冻土,2013,35(2):310-319.
[4] 穆振侠,姜卉芳,刘丰.基于TRMM/TMI与实测站点的降水垂直分布差异性探讨[J].干旱区研究,2010,27(4):515-521.
[5] 白爱娟,方建刚,张科翔. TRMM卫星资料对陕西及周边地区夏季降水的探测[J].灾害学,2008,23(2):41-45.
[6] 季漩,罗毅. TRMM降水数据在中天山区域的精度评估分析[J].干旱区地理,2013,26(2):253-262.
[7] 张松林. CART-分类与回归树方法介绍[J].火山地质与矿产,1997,18(1):67-75.
[8] 刘少华,严登华,史晓亮,等.中国植被NDVI与气候因子的年际变化及相关性研究[J].干旱区地理,2014,37(3):480-489.
[9] Immerzeel W W, Pellicciotti F, Shrestha A B. Glaciers as a proxy to quantify the spatial distribution of precipitation in the Hunza basin[J]. Mountain Research and development, 2012,32(1):30-38.
[10] 张晓.天山中段卫星降水数据的降尺度研究及时空特征分析[D].兰州:西北师范大学,2013.
[11] Jia S, Zhu W, LüA, et al. A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China[J]. Remote Sensing of Environment, 2011,115(12):3069-3079.
[12] Cihlar J, Ly H, Li Z, et al. Multitemporal, multichannel AVHRR data sets for land biosphere studies:artifacts and corrections[J]. Remote Sensing of Environment, 1997,60(1):35-57.
[13] 顾娟,李新,黄春林. NDVI时间序列数据集重建方法述评[J].遥感技术与应用,2006,21(4):391-395.
[14] 王丹,姜小光,唐伶俐,等.利用时间序列傅里叶分析重构无云NDVI图像[J].国土资源遥感,2005,64(2):29-32.
[15] 蓝永超,吴素芬,钟英君,等.近50年来新疆天山山区水循环要素的变化特征与趋势[J].山地学报,2007,25(2):177-183.
[16] 蓝永超,吴素芬,韩萍,等.全球变暖情境下天山山区水循环要素变化的研究[J].干旱区资源与环境,2008,22(6):99-104.
[17] Rozante J R, Cavalcanti I F A. Regional Eta model experiments:SALLJEX and MCS development[J]. Journal of Geophysical Research:Atmospheres, 2008,113(D17):1-20.

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