评估多个卫星降水产品及其在雅鲁藏布江流域的潜在应用。

Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin.

机构信息

College of Water Sciences, Beijing Normal University, Beijing, 100875, China.

Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.

出版信息

Sci Rep. 2022 Aug 3;12(1):13334. doi: 10.1038/s41598-022-17551-y.

DOI:10.1038/s41598-022-17551-y

PMID:35922539

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9349210/

Abstract

Hydrological modeling in the Third Pole remains challenging due to the complex topography and scarcity of in-situ precipitation observations. In this study, we assessed five satellite precipitation products (SPPs) including TRMM3B42, PERSIANN-CDR, GPM-IMERG, CMORPH, and GSMaP, and simulated daily streamflow in the Yarlung Zangbo River Basin (YZRB) with VIC model. The performance of SPPs was evaluated by CC, RB, RMSE, POD and FAR, to compare with daily observations. Overall, all SPPs showed decreasing trends of precipitation from east to west compared to 10 km rainfall data. PERSIANN had the highest values of POD (0.65), RB (91.6%) and FAR (0.59) but worst performed in streamflow. CMORPH, GPM and TRMM fit well with the observations annually but overestimate the precipitation in the southeast during wet seasons. Simulation from GPM and CMORPH yield satisfactory results (NSE of 0.86 and 0.82, RE of - 20% and - 13%, respectively), while TRMM outperformed GPM in modeling runoff with smaller relative error. Results indicated the potential of GPM and CMORPH in providing alternative rainfall information in YZRB. Accurate evaluation of multi-source SPPs and their hydrological utility in YZRB would benefit further hydrometeorological studies and water resources management in this area.

摘要

由于复杂的地形和稀少的实地降水观测，第三极的水文建模仍然具有挑战性。在本研究中，我们评估了五种卫星降水产品（SPP），包括 TRMM3B42、PERSIANN-CDR、GPM-IMERG、CMORPH 和 GSMaP，并使用 VIC 模型模拟了雅鲁藏布江流域（YZRB）的日流量。通过 CC、RB、RMSE、POD 和 FAR 等指标对 SPP 的性能进行了评估，并与日观测值进行了比较。总体而言，与 10km 降水数据相比，所有 SPP 的降水都呈现出从东向西递减的趋势。PERSIANN 的 POD（0.65）、RB（91.6%）和 FAR（0.59）值最高，但在流量方面表现最差。CMORPH、GPM 和 TRMM 每年与观测值拟合良好，但在雨季高估了东南部的降水。GPM 和 CMORPH 的模拟结果令人满意（NSE 分别为 0.86 和 0.82，RE 分别为-20%和-13%），而 TRMM 在模拟径流量方面优于 GPM，相对误差较小。结果表明，GPM 和 CMORPH 有潜力在 YZRB 提供替代降水信息。对多源 SPP 的准确评估及其在 YZRB 的水文应用将有助于进一步开展该地区的水文气象研究和水资源管理。