Quantification of Gridded Precipitation Products for the Streamflow Simulation on the Mekong River Basin Using Rainfall Assessment Framework: A Case Study for the Srepok River Subbasin, Central Highland Vietnam

Author:

Tran Thanh-Nhan-Duc1ORCID,Nguyen Binh Quang2ORCID,Zhang Runze1ORCID,Aryal Aashutosh1ORCID,Grodzka-Łukaszewska Maria3ORCID,Sinicyn Grzegorz3ORCID,Lakshmi Venkataraman1

Affiliation:

1. Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA 22903, USA

2. Faculty of Water Resources Engineering, The University of Danang—University of Science and Technology, Da Nang 550000, Vietnam

3. Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology, 00-653 Warszawa, Poland

Abstract

Many fields have identified an increasing need to use global satellite precipitation products for hydrological applications, especially in ungauged basins. In this study, we conduct a comprehensive evaluation of three Satellite-based Precipitation Products (SPPs): Integrated Multi–satellitE Retrievals for GPM (IMERG) Final run V6, Soil Moisture to Rain (SM2RAIN)-Advanced SCATterometer (ASCAT) V1.5, and Multi-Source Weighted-Ensemble Precipitation (MSWEP) V2.2 for a subbasin of the Mekong River Basin (MRB). The study area of the Srepok River basin (SRB) represents the Central Highland sub-climatic zone in Vietnam under the impacts of newly built reservoirs during 2001–2018. In this study, our evaluation was performed using the Rainfall Assessment Framework (RAF) with two separated parts: (1) an intercomparison of rainfall characteristics between rain gauges and SPPs; and (2) a hydrological comparison of simulated streamflow driven by SPPs and rain gauges. Several key findings are: (1) IMERGF-V6 shows the highest performance compared to other SPP products, followed by SM2RAIN-ASCAT V1.5 and MSWEP V2.2 over assessments in the RAF framework; (2) MSWEP V2.2 shows discrepancies during the dry and wet seasons, exhibiting very low correlation compared to rain gauges when the precipitation intensity is greater than 15 mm/day; (3) SM2RAIN–ASCAT V1.5 is ranked as the second best SPP, after IMERGF-V6, and shows good streamflow simulation, but overestimates the wet seasonal rainfall and underestimates the dry seasonal rainfall, especially when the precipitation intensity is greater than 20 mm/day, suggesting the need for a recalibration and validation of its algorithm; (4) SM2RAIN-ASCAT had the lowest bias score during the dry season, indicating the product’s usefulness for trend analysis and drought detection; and (5) RAF shows good performance to evaluate the performance of SPPs under the impacts of reservoirs, indicating a good framework for use in other similar studies. The results of this study are the first to reveal the performance of MSWEP V2.2 and SM2RAIN-ASCAT V1.5. Additionally, this study proposes a new rainfall assessment framework for a Vietnam basin which could support future studies when selecting suitable products for input into hydrological model simulations in similar regions.

Funder

Faculty of Building Services, Hydro and Environmental Engineering at the Warsaw University of Technology in Poland

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference105 articles.

1. Global-Scale Evaluation of 22 Precipitation Datasets Using Gauge Observations and Hydrological Modeling;Beck;Hydrol. Earth Syst. Sci.,2020

2. Evaluation of bias correction methods for APHRODITE data to improve hydrologic simulation in a large Himalayan basin;Ji;Atmos. Res.,2020

3. Precipitation: Measurement, remote sensing, climatology and modeling;Michaelides;Atmos. Res.,2009

4. Global precipitation measurement: Methods, datasets and applications;Tapiador;Atmos. Res.,2012

5. Zeeshan, A., Tran, T.N.D., and Nguyen, Q.B. (2021). 2nd Conference on Sustainability in Civil Engineering (CSCE) 2020, Capital University of Science and Technology. Available online: https://csce.cust.edu.pk/archive/20-404.pdf.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3