不同源降水数据在天山南坡阿克苏河流域适用性分析

Abstract

Abstract: Precipitation is an important part of the hydrothermal cycle and climate change research. The accuracy of the precipitation data will affect directly the study on hydrological process at the watershed scale. This paper takes Aksu River Basin, Xinjiang, China, a typical basin on the southern slope of Tianshan Mountains as the research object, based on the observed precipitation data from 2000 to 2015. Firstly, it was interpolated into the grid data with ANUSPLINE interpolation method; then selecting the typical sites, two kinds of grid data sets corresponding to the precipitation of the site were extracted. Finally, by using Pearson correlation coefficient, root mean square error and relative deviation, the applicability of two representative precipitation data sets(TRMM, Tropical Rainfall Measuring Mission and GLDAS, Global Land Data Assimilation System) in Aksu River Basin is compared. The results show as follows:(1) The overall performance of the TRMM3B43 data in Aksu River Basin is better than that of GLDAS-2.(2)The accuracy of the two data sets hits their best at the monthly scale, and the correlation coefficients were 0.938 and 0.901 respectively, and it passes the significance test of 0.01; at the seasonal scale, the fitting of TRMM3B43 data is better than GLDAS-2 data, the spatial consistency for both data sets was good. But both of them show the tendency of overestimating the precipitation in the cold season and underestimating the precipitation in the warm season; at the annual scale, the two data sets show poor performance.(3)In terms of spatial distribution, two data sets can reflect the precipitation pattern which showed a descending trend from northwest to southeast in Aksu River Basin. The two data sets achieved better results for the plain areas than for mountainous areas. They underestimated the precipitation in high altitude and overestimated precipitation in low altitude. This study is of great significance to understand the spatial distribution of precipitation in the basin, to carry out reasonable water resources allocation and runoff simulation of watershed.

Key words: Aksu River Basin, precipitation data, accuracy assessment, spatial and temporal distribution

CLC Number:

P332

BIAN Wei, CHEN Ya-ning, LI Zhi, LI Yu-peng, JIAO Wei, ZHANG Qi-fei. Assessing the applicability of different sources of precipitation data in Aksu River Basin on south slope of Tianshan Mountains[J].干旱区地理, 2018, 41(3): 459-471.

References

[1] WARD E,BUYTAERT W,PEAVER L,et al. Evaluation of precipitation products over complex mountainous terrain:A water resources perspective[J]. Advances in Water Resources,2011,34(10):1222-1231.
[2] FU L X,CHEN Y N,LI W H. Relation between climate change and runoff volume in the headwaters of the Tarim River during the last 50 years[J]. Journal of Desert Research,2010,30(1):204-209.
[3] ZHU X,ZHANG M,WANG S,et al. Comparison of monthly precipitation derived from high-resolution gridded datasets in arid Xinjiang,Central Asia[J]. Quaternary International,2015,358:160-170.
[4] HE S W,NAN Z T,HOU Y T. Accuracy evaluation of two precipitation datasets over upper reach of Heihe River Basin,northwestern China[J]. Sciences in Cold and Arid Regions, 2015,(2):157-169.
[5] HIRPA F A, GEBREMICHAEL M, HOPSON T. Evaluation of high-resolution satellite precipitation products over very complex terrain in Ethiopia[J]. J Appl Meteor Climatol, 2010, 49(5):1044-1051.
[6] HU Z,HU Q,ZHANG C,et al. Evaluation of reanalysis,spatially interpolated and satellite remotely sensed precipitation data sets in Central Asia[J]. Journal of Geophysical Research Atmospheres,2016,121.
[7] YATAGAI A, KAMIGUCHI K, ARAKAWA O, et al. APHRODITE:Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges[J]. Bull Amer Meteor Soc,2012,93(9):1401-1415.
[8] MATTHEW Rodell, HIRO Kato Beaudoing. NASA/GSFC/HSL (12.01.2013), GLDAS Noah Land Surface Model L43 hourly 0.25*0.25 degree Version 2.0, version 020, Greenbelt, Maryland,USA:Goddard Earth Sciences Data and Information Services Center(GES DISC), Accessed Enter User Data Access Date at doi:10.5067/342OHQM9AK6Q.
[9] KALNAY E, KANAMITSU M, KISTLER R, et al. The NCEP/NCAR 40-year reanalysis project.[J]. Bulletin of the American Meteorological Society,1996,77(3):437-472.
[10] HUFFMAN G J, BOLVIN D T, NELKIN E J, et al. The TRMM multisatellite precipitation analysis(TMPA):Quasi-Global,multiyear,combined-sensor precipitation estimates at fine scales[J]. Journal of Hydrometeorology,2009,8(3):237-247.
[11] TUFA Dinku,PIETRO Ceccato,STEPHEN J.Connor. Challenges of satellite rainfall estimation over mountainous and arid parts of east Africa[J]. International Journal of Remote Sensing,2011,32(21):5965-5979.
[12] WANG A,ZENG X. Evaluation of multireanalysis products with in situ observations over the Tibetan Plateau[J]. Journal of Geophysical Research Atmospheres,2012,117(D5):5102.
[13] 王晓杰,刘海隆,包安明. TRMM降水产品在天山及周边地区的适用性研究[J]. 水文,2014,34(1):58-64.[WANG Xiaojie, LIU Hailong,BAO Anming. Applicability research on TRMM precipitation data in Tianshan Mountains[J]. Journal of China Hydrology,2014,34(1):58-64.]
[14] 郝振纯,童凯,张磊磊,等. TRMM降水资料在青藏高原的适用性分析[J].水文,2011,31(5):18-23.[HAO Zhenchun,TONG Kai,ZHANG Leilei,et al. Applicability analysis of TRMM precipitation estimates in Tibetan Plateau[J]. Journal of China Hydrology,2011,31(5):18-23.]
[15] ANDERMANN C,BONNET S,GLOAGUEN R. Evaluation of precipitation data sets along the Himalayan front[J]. Geochemistry Geophysics Geosystems,2011,12(7):785-814.
[16] 王文,汪小菊,王鹏,等. GLDAS月降水数据在中国区的适用性评估[J].水科学进展,2014,25(6):769-778.[WANG Wen, WANG Xiaoju,WANG Peng,et al. Assessing the applicability of GLDAS monthly precipitation data in China[J]. Advances in Water Science,2014,25(6):769-778.]
[17] 徐明,王晓芳,高琦,等. 基于TRMM卫星资料揭示的长江流域梅雨季节降水日变化[J].长江流域资源与环境,2016,25(12):1934-1944.[XU Ming,WANG Xiaofang,GAO Qi,et al. Anlysis of diurnal variation of Meiyu season rainfall over the Yangtze River Basin by TRMM satellite data[J]. Resources and Environment in the Yangtze Basin,2016,25(12):1934-1944.]
[18] 张恒. 阿克苏河上游水资源变化及其对下游地区生态环境和社会经济的影响[D].乌鲁木齐:新疆农业大学,2014. [ZHANG Heng. The change of water resources from upper stream Aksu River and its ecoenvironmental & socioeconomic impact on the downstream area[D]. Urumqi:Xinjiang Agricultural University,2014.]
[19] 陈亚宁,崔旺诚,李卫红. 塔里木河的水利用与生态保护[J].地理学报,2003,58(2):215-222.[CHEN Yaning,CUI Wangcheng, LI Weihong, et al. Utilization of water resources and ecological protection in the Tarim River[J]. Acta Geographica Sinica,2003, 58(2):215-222.]
[20] 张瑞波,魏文寿,袁玉江,等. 1396-2005年天山南坡阿克苏河流域降水序列重建与分析[J]. 冰川冻土,2009,31(1):31-37.[ZHANG Ruibo,WEI Wenshou,YUAN Yujiang,et al. A precipitation series of A. D. 1396-2005 in Aksu River Basin on the southern slopes of Tianshan Mountains:Reconstruction and Analysis[J]. Journal of Glaciology and Geocryology,2009,31(1):31-37.]
[21] 蒋艳,周成虎,程维明. 新疆阿克苏河流域降水空间变异特征分析[J]. 地球信息科学学报,2006,8(1):131-138.[JIANG Yan,ZHOU Chenhu,CHENG Weiming. Research on the spatial variability of rainfall in Akesu River Basin[J]. Geo-Information Science,2006,8(1):131-138.]
[22] 杨青,孙除荣,史玉光,等. 阿克苏河流域的面雨量序列及其与径流关系[J]. 地理学报,2006,61(7):697-704.[YANG Qing, SUN Churong,SHI Yuguang,et al. Estimation of areal precipitation series and its relation to runoff in Aksu River Basin[J]. Acta Geographica Sinica,2006,61(7):697-704.]
[23] 张秀英,江洪,韩英.陆面数据同化系统及其在全球变化研究中的应用[J].遥感信息,2010,2010(4):135-143.[ZHANG Xiuying, JIANG Hong, HAN Ying. Land surface data assimilation systems and their usage in global change studies[J]. Remote Sensing Information,2010,(4):135-143.]
[24] 黄春林,李新. 陆面数据同化系统的研究综述[J]. 遥感技术与应用,2004,19(5):424-430.[HUANG Chunlin,LI Xin. A review of land data assimilation system[J]. Remote Sensing Technology and Application,2004,19(5):424-430.]
[25] 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,2013,36(2):253-262.[JI Xuan,LUO Yi. Quality assessment of the TRMM precipitation data in mid Tianshan Mountains[J]. Arid Land Geography,2013,36(2):253-262.]
[26] 卢新玉,魏鸣,王秀琴,等. TRMM-3B43降水产品在新疆地区的适用性研究[J]. 国土资源遥感,2016,28(3):166-173.[LU Xinyu, WEI Ming, WANG Xiuqin, et al. Applicability research on TRMM-3B43 precipitation over Xinjiang[J]. Remote Sensing for Land and Resources,2016,28(3):166-173.]
[27] 穆振侠,姜卉芳. 基于TRMM/TMI的天山西部山区降水垂直分布规律的研究[J]. 干旱区资源与环境,2010,24(10):66-71.[MU Zhenxia, JIANG Huifang. The vertical distribution law of precipitation in the western Tianshan Mountain based on TRMM/TMI[J]. Journal of Arid Land Resouces and Environment,2010, 24(10):66-71.]
[28] 李霞,高艳红,王婉昭,等.黄河源区气候变化与GLDAS数据适用性评估[J]. 地球科学进展,2014,29(4):531-540.[LI Xia, GAO Yanhong,WANG Wanzhao,et al. Climate changes and applicability of GLDAS in the headwater of the Yellow River Basin[J]. Advances in Earth Science,2014,29(4):531-540.]
[29] 曾红伟,李丽娟. 澜沧江及周边流域TRMM3B43数据精度检验[J]. 地理学报,2011,66(7):994-1004.[ZENG Hongwei,LI Lijuan. Accuracy validation of TRMM 3B43 data in Lancang River Basin[J]. Acta Geographica Sinica,2011,66(7):994-1004.]
[30] HUTCHINSON M F.ANUSPLIN Version 4.3 User Guide[M]. Canberra:The Australia National University,Center for Resource and Environment Studies 2004.http://cres.anu.edu.au/outputs/anusplin.php.
[31] MA L,ZHANG T,FRAUENFELD O W,et al. Evaluation of precipitation from the ERA-40,NCEP-1,and NCEP-2 reanalyses and CMAP-1,CMAP-2,and GPCP-2 with ground-based measurements in China[J]. Journal of Geophysical Research Atmospheres,2009,114(9):1588-1593.
[32] KARASEVA M O, PRAKASH S, GAIROLA R M. Validation of high-resolution TRMM-3B43 precipitation product using rain gauge measurements over Kyrgyzstan[J]. Theoretical and Applied Climatology,2012,108(1):147-157.
[33] 黄浠,王中根,桑燕芳,等. 雅鲁藏布江流域不同源降水数据质量对比研究[J]. 地理科学进展, 2016, 35(3):339-348.[HUANG Xi,WANG Zhonggen,SANG Yanfang,et al. Precision of data in three precipitation datasets of the Yarlung Zangbo River Basin[J]. Progress in Geography,2016,35(3):339-348.]

Assessing the applicability of different sources of precipitation data in Aksu River Basin on south slope of Tianshan Mountains

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