The Applicability Evaluation of Multisource Precipitation Data for Runoff Simulation in a Typical Basin on the Tianshan Mountains

WANG Wenyu; LIU Gang; WANG Xiaoyan; PANG Liling; FENG Tongfei; GU Huanghe

doi:10.13870/j.cnki.stbcxb.2025.01.005

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The Applicability Evaluation of Multisource Precipitation Data for Runoff Simulation in a Typical Basin on the Tianshan Mountains

更新时间：2025-03-14

- The Applicability Evaluation of Multisource Precipitation Data for Runoff Simulation in a Typical Basin on the Tianshan Mountains
- Vol. 39, Issue 1, Pages: 284-293(2025)
- 作者机构：
  
  1. 河海大学水灾害防御全国重点实验室,南京,210098
  2. 河海大学水文水资源学院,南京,210098
  3. 河北省保定水文勘测研究中心,河北,保定,071025
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2025.01.005
  CLC： P339
- Published：2025
- 稿件说明：
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WANG Wenyu, LIU Gang, WANG Xiaoyan, et al. The Applicability Evaluation of Multisource Precipitation Data for Runoff Simulation in a Typical Basin on the Tianshan Mountains[J]. 2025, 39(1): 284-293.
DOI：

WANG Wenyu, LIU Gang, WANG Xiaoyan, et al. The Applicability Evaluation of Multisource Precipitation Data for Runoff Simulation in a Typical Basin on the Tianshan Mountains[J]. 2025, 39(1): 284-293. DOI： 10.13870/j.cnki.stbcxb.2025.01.005.

摘要

目的为探究不同降水产品在天山高寒流域的特征差异及水文模拟应用潜力。方法结合不同统计指标及HBV水文模型，对比分析5套降水产品(基于站点插值的格点化数据CN05.1，卫星降水数据GPM、亚洲地区高质量高时空分辨率降水数据集AIMERG、再分析数据CMFD和ERA5)在玛纳斯河源区的降水时空分布特征，评估不同产品精度，研究不同降水产品在径流模拟中的适用性。结果5套降水产品的年降水均呈现从北到南先增加后减小的空间特征，仅有AIMERG和CMFD可捕捉到冰川区降水高的特征；不同产品的降水年内变化特征一致，但夏季降水量差异显著，ERA5的夏季平均降水量达CN05.1的2倍，GPM降水量最低；GPM降水产品低估观测月降水，且在春季和冬季低估最为严重(64%~76%)，而CMFD、ERA5和AIMERG 3套降水产品整体高估观测月降水，其中ERA5高估最为严重，尤其在夏秋季(134%~206%)，CMFD对月降水略有高估。AIMERG与站点月降水的相关性较高，在雨季和非雨季也呈较高的日降水成功指数；基于AIMERG、CMFD及CN05.1的日径流模拟效果相近且精度高于其他数据集，纳什效率系数为0.81~0.82，相对误差低于6%，前2套降水产品对径流极值的模拟能力总体高于CN05.1。结论AIMERG和CMFD在玛纳斯河源区径流模拟中有较大的优势，研究可为气象资料匮乏的天山地区的径流模拟及水土流失预防研究提供数据参考。

Abstract

ObjectiveTo explore the differences in precipitation characteristics for multisource precipitation products and their applicability for runoff simulation in an alpine basin on the Tianshan Mountains.MethodsA comparative analysis of the spatiotemporal characteristics of precipitation was conducted in the upper reaches of the Manas River Basin

based on the datasets CN05.1

GPM

AIMERG

CMFD and ERA5. Subsequently

the accuracy of different products was evaluated based on observed precipitation

and their applicabilities for runoff simulation were assessed by means of HBV hydrological model.ResultsThe spatial pattern for all the precipitation products was characterized by a first increase and then a decrease from the north to south

whereas only AIMERG and CMFD were able to display higher precipitation in the glacier area. Consistent seasonal variation were detected

but large differences in summer precipitation were shown. In summer

ERA5 was twice as much as CN05.1

and GPM was lower than the other precipitation products. GPM underestimated the monthly precipitation

especially in winter and spring (64%—76%). While the monthly precipitation was overestimated by CMFD

ERA5 and AIMERG. The overestimation of ERA5 was the most serious

especially in summer and autumn (134%—206%)

and CMFD slightly overestimated the monthly precipitation. AIMERG had a higher correlation with the observed monthly precipitation and greater critical success index in both rainy season and the non-rainy season. AIMERG

CMFD and CN05.1 had the greatest ability to reproduce daily runoff

with a higher NSE (0.81—0.82) and lower relative error (< 6%). Moreover

the former two products showed a better performance in reproducing extreme runoff when compared with CN05.1.ConclusionAIMERG and CMFD show great potential in runoff simulation of the upper Manas River. The results can serve as data references for runoff simulation and soil erosion prevention research in the Tianshan region

where meteorological data are limited.

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references

GAO H K, HAN T D, LIU Y C, et al. Use of auxiliary data of topography, snow and ice to improve model performance in a glacier-dominated catchment in Central Asia[J]. Hydrology Research, 2017, 48(5): 1418-1437.

SORG A, BOLCH T, STOFFEL M, et al. Climate change impacts on glaciers and runoff in Tien Shan(Central Asia)[J]. Nature Climate Change, 2012, 2(10): 725-731.

LIU X Y, LI X M, ZHANG Z R, et al. A CMIP6-based assessment of regional climate change in the Chinese Tianshan Mountains[J]. Journal of Arid Land, 2024, 16(2): 195-219.

TANG Z G, WANG X R, WANG J, et al. Spatiotemporal variation of snow cover in Tianshan Mountains, central Asia, based on cloud-free MODIS fractional snow cover product, 2001-2015[J]. Remote Sensing, 2017, 9(10): e1045.

REN G Y, YUAN Y J, LIU Y J, et al. Changes in precipitation over Northwest China[J]. Arid Zone Research, 2016, 33(1): 1-19. 任国玉, 袁玉江, 柳艳菊, 等. 我国西北干燥区降水变化规律[J]. 干旱区研究, 2016, 33(1): 1-19.

WEI L, DUAN K, LIU X D, et al. Assessing human-induced evapotranspiration change based on multi-source data and bayesian model averaging at the basin scale[J]. Journal of Hydraulic Engineering, 2022, 53(4): 433-444. 韦林, 段凯, 刘效东, 等. 基于多源数据与多模型集成的流域人为蒸散发变异评估[J]. 水利学报, 2022, 53(4): 433-444.

KAN B Y, SU F G, TONG K, et al. Analysis of the applicability of four precipitation datasets in the upper reaches of the Yarkant River, the Karakorum[J]. Journal of Glaciology and Geocryology, 2013, 35(3): 710-722. 阚宝云, 苏凤阁, 童凯, 等. 四套降水资料在喀喇昆仑山叶尔羌河流域的适用性分析[J]. 冰川冻土, 2013, 35(3): 710-722.

JIN X L, SHAO H, ZHANG C, et al. The applicability evaluation of three satellite products in Tianshan Mountains[J]. Journal of Natural Resources, 2016, 31(12): 2074-2085. 金晓龙, 邵华, 张弛, 等. GPM卫星降水数据在天山山区的适用性分析[J]. 自然资源学报, 2016, 31(12): 2074-2085.

ZHANG C, CHEN X, SHAO H, et al. Evaluation and intercomparison of high-resolution satellite precipitation estimates: GPM, TRMM, and CMORPH in the Tianshan Mountain area[J]. Remote Sensing, 2018, 10(10): e1543.

SUN H, SU F G, YAO T D, et al. General overestimation of ERA5 precipitation in flow simulations for High Mountain Asia Basins[J]. Environmental Research Communications, 2021, 3(12): e121003.

TANG H, WANG X Y, CHEN F L, et al. Simulation of Manas River runoff based on ERA5-Land dataset[J]. Earth Science Frontiers, 2022, 29(3): 271-283. 唐豪, 王晓云, 陈伏龙, 等. 基于ERA5-Land数据集的玛纳斯河径流模拟研究[J]. 地学前缘, 2022, 29(3): 271-283.

LUO Y X, XU C C, CHU Z, et al. Application of CN05.1 meteorological data in watershed hydrological simulation: A case study in the upper reaches of Kaidu River Basin[J]. Climate Change Research, 2020, 16(3): 287-295. 罗映雪, 徐长春, 楚智, 等. CN05.1气象数据在流域水文模拟中的应用: 以新疆开都河流域为例[J]. 气候变化研究进展, 2020, 16(3): 287-295.

WANG X Z, LI B F, CHEN Y N, et al. Applicability evaluation of multisource satellite precipitation data for hydrological research in arid mountainous areas[J]. Remote Sensing, 2020, 12(18): e2886.

ZHANG Z Y, LI Z Q, HE X L, et al. Progress in the research on glacial change and water resources in Manas River basin[J]. Research of Soil and Water Conservation, 2014, 21(5): 332-337. 张正勇, 李忠勤, 何新林, 等. 玛纳斯河流域冰川变化及水资源研究进展[J]. 水土保持研究, 2014, 21(5): 332-337.

WANG X Y, YANG T, SHI P F, et al. The simulation study of the hydrological processes in Tianshan mountain basin, Northwest China[M]. Beijing, Science Press, 2018: 30-35. 王晓燕. 杨涛, 师鹏飞. 天山北坡典型流域产汇流过程及模拟研究[M]. 北京, 科学出版社, 2018: 30-35.

GUO W Q, LIU S Y, XU J L, et al. The second Chinese glacier inventory: Data, methods and results[J]. Journal of Glaciology, 2015, 61(226): 357-372.

HERSBACH H, BELL B, BERRISFORD P, et al. The ERA5 global reanalysis[J]. Quarterly Journal of the Royal Meteorological Society, 2020, 146(730): 1999-2049.

HE J, YANG K, TANG W J, et al. The first high-resolution meteorological forcing dataset for land process studies over China[J]. Scientific Data, 2020, 7: e25.

LI F X, CHEN F L, CAI W J, et al. Multiscale runoff prediction based on the EMD combined model[J]. Earth Science Frontiers, 2021, 28(1): 428-437. 李福兴, 陈伏龙, 蔡文静, 等. 基于EMD组合模型的径流多尺度预测[J]. 地学前缘, 2021, 28(1): 428-437.

ZHANG R, YONG B, ZENG S K. Evaluation of GPM satellite precipitation products over Mainland China[J]. Yangtze River, 2021, 52(5): 50-59. 张茹, 雍斌, 曾岁康. GPM卫星降水产品在中国大陆的精度评估[J]. 人民长江, 2021, 52(5): 50-59.

MA Z Q, XU J T, ZHU S Y, et al. Aimerg: A new Asian precipitation dataset(0.1°/half-hourly, 2000—2015)by calibrating GPM IMERG at daily scale using APHRODITE[J]. Earth System Science Data, 2020: 1525-1544.

HAGG W, BRAUN L N, KUHN M, et al. Modelling of hydrological response to climate change in glacierized Central Asian Catchments[J]. Journal of Hydrology, 2007, 332(1/2): 40-53.

WANG X Y, YANG T, XU C Y, et al. Understanding the discharge regime of a glacierized alpine catchment in the Tianshan Mountains using an improved HBV-D hydrological model[J]. Global and Planetary Change, 2019, 172: 211-222.

YU W B, LIANG Z M. Improvement and application of HBV model based on snow data[J]. Journal of China Hydrology, 2024, 44(1): 26-32. 俞炜博, 梁忠民. 基于积雪数据的HBV模型改进及应用[J]. 水文, 2024, 44(1): 26-32.

SUN M Y, LÜ H S, ZHU Y H, et al. Applicability assessment of two meteorological datasets in areas lacking data with the Hutubi River Basin as an example[J]. Arid Zone Research, 2022, 39(1): 94-103. 孙铭悦, 吕海深, 朱永华, 等. 2套气象数据在资料缺乏地区的适用性评估: 以呼图壁河流域为例[J]. 干旱区研究, 2022, 39(1): 94-103.

GYAWALI D R, BÁRDOSSY A. Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS[J]. Hydrology and Earth System Sciences, 2022, 26(12): 3055-3077.

HABEEB R, ZHANG X, HUSSAIN I, et al. Statistical analysis of modified Hargreaves equation for precise estimation of reference evapotranspiration[J]. Tellus A: Dynamic Meteorology and Oceanography, 2021, 73(1): e1966869.

BAN C G, ZUO D P, XU Z X, et al. Assessment on the accuracy and hydrological simulation effect of multi-source precipitation products in the high cold alpine region assessment on the accuracy and hydrological simulation effect of multi-source precipitation products in the high cold alpine region: Case study in the Yarlung Zangbo River Basin and the Lhasa River Basin[J]. Journal of Soil and Water Conservation, 2023, 37(2): 159-168. 班春广, 左德鹏, 徐宗学, 等. 高寒区多源降水产品精度与水文模拟效果评估: 以雅鲁藏布江流域和拉萨河流域为例[J]. 水土保持学报, 2023, 37(2): 159-168.

TANG G Q, CLARK M P, PAPALEXIOU S M, et al. Have satellite precipitation products improved over last two decades?A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets[J]. Remote Sensing of Environment, 2020, 240: e111697.

WANG G Q, ZHANG J Y, LIU J F, et al. The sensitivity of runoff to climate change in different climatic regions in China[J]. Advances in Water Science, 2011, 22(3): 307-314. 王国庆, 张建云, 刘九夫, 等. 中国不同气候区河川径流对气候变化的敏感性[J]. 水科学进展, 2011, 22(3): 307-314.

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