YANG Xiaoliu,WANG Ping,GAO Dawei,et al.Accuracy Evaluation and Analysis on Change Characteristics of MSWEP Precipitation Data in Qinbashan Mountains Area from 1979 to 2014[J].Research of Soil and Water Conservation,2020,27(06):146-152.
1979-2014年秦巴山区MSWEP降水数据精度评估及变化特征分析
- Title:
- Accuracy Evaluation and Analysis on Change Characteristics of MSWEP Precipitation Data in Qinbashan Mountains Area from 1979 to 2014
- 文章编号:
- 1005-3409(2020)06-0146-07
- 分类号:
- P339
- 文献标志码:
- A
- 摘要:
- 为了探究多源加权集成降水数据集(MSWEP)降水产品在秦巴山区的适应性,利用秦巴山区范围内站点降水观测资料,应用相关系数(CC)、均方根误差(RMSE)、平均绝对误差(MAE)以及相对偏差(Bias)等指标,对秦巴山区MSWEP降水数据精度进行评估,并分析了MSWEP降水与站点降水多年变化。结果表明:MSWEP降水产品在秦巴山区精度较高,具有较好的实用性,无论是年、季节、月尺度还是单个站点的精度评估,相关系数(CC)都在0.8以上,具有较高的一致性; 从均方根误差(RMSE)和平均绝对误差(MAE)来看,MSWEP降水数据与站点实测值较接近; 从相对偏差(Bias)来看,MSWEP降水产品对实测值存在微弱的低估或高估。36年来,除MSWEP数据春季呈增加趋势外,其余时段两种降水量均呈减少趋势; 整个时段内,两种降水均呈“增多—减少”两个阶段变化,突变年份均发生在1985年; 并且存在明显的“丰—枯”交替变化周期,其变化主周期都为中长时间周期,都是20年以上的时间尺度,其中站点实测数据的变化主周期比MSWEP降水产品数据短2年。
- Abstract:
- To explore Multi-Source Weighted-Ensemble Precipitation(MSWEP)precipitation product adaptability in Qinbashan Mountains, precipitation observation data within the use scope of Qinbashan Mountains sites, the correlation coefficient(CC), root mean square error(RMSE), mean absolute error(MAE), and the relative deviation(Bias), and other indicators were used to evaluate MSWEP precipitation data accuracy, and analyze the site MSWEP precipitation and precipitation change for years. The results show that MSWEP precipitation product is of high precision and good practicability in Qinbashan Mountains area. Whether it is annual, seasonal, monthly scale or single site accuracy evaluation, the CC is above 0.8 with high consistency. With respect to RMSE and MAE, the MSWEP precipitation data is close to the measured value of the site. From the perspective of relative Bias, MSWEP precipitation product slightly underestimates or overestimates the measured value. In the past 36 years, except for the MSWEP data, which showed the increasing trend in spring, the precipitation of the other two periods showed the decreasing trend. During the whole period, both kinds of precipitation showed two stages of ‘increase—decrease', and the abrupt year occurred in 1985. In addition, there is an obvious ‘rich—dry' alternating change cycle, and the main change cycle is medium and long time period, which is more than 20 years. Among them, the main change cycle of site measured data is 2 years shorter than MSWEP precipitation.
参考文献/References:
[1] Huffman G J, Adler R F, Bolvin D T, et al. The TRMM Multi-Satellite Precipitation Analysis(TMPA)[J]. Satellite Rainfall Applications for Surface Hydrology, 2010,8(1):38-62.
[2] 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]. Satellite Rainfall Applications for Surface Hydrology, 2007,8(3):38-55.
[3] Immerzeel W W, Rutten M M, Droogers P. Spatial downscaling of TRMM precipitation using vegetative response on the Iberian Peninsula[J]. Remote Sensing of Environment, 2009,113(2):362-370.
[4] Goovaerts P. Geostatistical approaches for incroporating elevation into the spatial interpolation of rainfull[J]. Journal of Hydrology, 2000,228(1):113-129.
[5] Li M, Shao Q X. An improved statistical approach to merge satellite rainfall estimates and raingauge data[J]. Journal of Hydrology, 2010,385:51-64.
[6] Goodrich D C, Faures J M, Woolhiser D A, et al. Measurements and analysis of small-scale convective storm rainfall variability[J]. Journal of Hydrology, 1995,17(3):283-308.
[7] Tobin K J, Bennett M E. Adjusting satellite precipitation data to facilitate hydrologic modeling[J]. Journal of Hydrometeorology, 2010,11(4):966-978.
[8] Duan Z, Bastiaanssen W G M, First results from Version7 TRMM 3B43 precipitation product in combination with a new downscaling calibration procedure[J]. Remote Sensing of Environment, 2013,131(5):1-13.
[9] Nair A, Indu J. Performance assessment of Multi-Source Weighted-Ensemble Precipitation(MSWEP)product over India[J]. Climate, 2017,5(1):2-22.
[10] 魏风英.现代气候统计诊断与预测技术[M].北京:气象出版社,1999.
[11] 孟清,白红英,郭少壮.基于Anusplin秦岭地区近50多年来的降水时空变化[J].水土保持研究,2020,27(2):1-7.
[12] 费明哲,张增信,原立峰,等.TRMM降水产品在鄱阳湖流域的精度评价[J].长江流域资源与环境,2015,24(8):1322-1330.
[13] Beck H E, Van D A I J M, Vincenzo L, et al. MSWEP: 3-hourly 0.25° global gridded precipitation(1979—2015)by merging gauge, satellite, and reanalysis data[J]. Hydrology & Earth System Sciences, 2017,21(1):589-615.
[14] Sun Q H, Miao C Y, Duan Q Y, et al. A review of global precipitation data sets: data sourees, estimation, and intercomparisons[J]. Reviews of Geophysics, 2018,56(1):79-107.
[15] Jiang D J, Zhang H, Li R Z. Performance evaluation of TMPA version 7 estimates for precipitation and its extremes in Circum Bohai-Sea region, China [J]. Theoretical and Applied Climatology, 2017, 130(3/4): 1021-1033.
[16] Sahlu D, Moges S A, Nikolopoulos E I, et al. Evaluation of high-resolution multisatellite and reanalysis rainfall products over east Africa[J]. Advances in Meteorology, 2017,206(5):1-14.
[17] 王圆圆,郭徵,李贵才,等.基于广义加性模型估算1979—2014年三峡库区降水及其特征分析[J].地理学报,2017,72(7):1207-1220.
[18] 邓越,蒋卫国,王晓雅.MSWEP降水产品在中国大陆区域的精度评估[J].水利水电快报,2018,29(4):455-464.
[19] 章金城,周文佐.2006—2015年秦巴山区植被光合有效辐射吸收比例的时空变化特征[J].生态学杂志,2019,38(5):1453-1463.
[20] 原立峰,张增信,刘星飞,等.鄱阳湖流域近49年降雨序列一致性检验与分析[J].安徽农业科学,2013,41(2):732-735.
[21] 费明哲,张增信,原立峰,等. TRMM降水产品在鄱阳湖流域的精度评价[J].长江流域资源与环境,2015,24(8):1322-1330.
[22] 刘洁,夏军,邹磊,等.多卫星遥感降水数据在塔里木河流域的适用性分析[J].南水北调与水利科技,2018,16(5):1-8.
[23] 原立峰,杨桂山,李恒鹏,等.近50年来鄱阳湖流域降雨多时间尺度变化规律研究[J].长江流域资源与环境,2014,23(3):434-440.
[24] 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.
[25] 金秋,张增信,黄钰瀚,等.基于TRMM卫星产品的长江流域降水精度评估[J].人民长江,2017,48(19):48-52.
[26] 沈彬,李新功.塔里木河流域TRMM降水数据精度评估[J].干旱区地理,2015,38(4):703-712.
[27] 魏风英.现代气候统计诊断与预测技术[M].北京:气象出版社,1999.
[28] Pandy D K, Kumar A, Mohanty S. Recent trends in sediment load of the tropical(Peninsular)river basins of India[J]. Global and Planetary Change, 2011,75(3):108-118.
[29] Burn D H, Elnur M A H. Detection of hydrologic trends and variability[J]. Journal of Hydrology, 2002,255(4):107-122.
[30] 王文圣,丁晶,李跃清.水文小波分析[M].北京:化学工业出版社,2005.
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备注/Memo
收稿日期:2019-11-29 修回日期:2020-01-06
资助项目:国家自然科学基金“森林植被影响岩溶水源地产流功能的观测研究”(41262013)
第一作者:杨晓柳(1994—),女,云南保山人,硕士研究生,研究方向为山地环境与自然灾害。E-mail:2495750785@qq.com
通信作者:王平(1965—),男,云南昭通人,副教授,主要从事土壤地理与区域自然地理研究。E-mail:ynwangping@163.com