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GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season

Authors :
Xingcai Liu
Qiuhong Tang
Seyed-Mohammad Hosseini-Moghari
Xiaogang Shi
Min-Hui Lo
Bridget Scanlon
Source :
Remote Sensing, Vol 13, Iss 10, p 1993 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Terrestrial water storage (TWS) in high mountain areas contributes large runoff volumes to nearby lowlands during the low-flow season when streamflow is critical to downstream water supplies. The potential for TWS from GRACE (Gravity Recovery and Climate Experiment) satellites to provide long-lead streamflow forecasting in adjacent lowlands during the low-flow season was assessed using the upper Yellow River as a case study. Two linear models were trained for forecasting monthly streamflow with and without TWS anomaly (TWSA) from 2002 to 2016. Results show that the model based on streamflow and TWSA is superior to the model based on streamflow alone at up to a five-month lead-time. The inclusion of TWSA reduced errors in streamflow forecasts by 25% to 50%, with 3–5-month lead-times, which represents the role of terrestrial hydrologic memory in streamflow changes during the low-flow season. This study underscores the high potential of streamflow forecasting using GRACE data with long lead-times that should improve water management in mountainous water towers and downstream areas.

Details

Language :
English
ISSN :
20724292
Volume :
13
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.01be512ec63475fb01f56f5ec732690
Document Type :
article
Full Text :
https://doi.org/10.3390/rs13101993