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Enhancing the Understanding of the Water Cycle and Climate Change Using Satellite Geodesy

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: 25 July 2025 | Viewed by 342

Special Issue Editors

Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
Interests: GRACE; machine learning; downscaling research; climate change; water resource management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Water Sciences, Beijing Normal University, Beijing 100875, China
Interests: groundwater numerical simulation; GRACE; integrated surface and groundwater simulation; water resource management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global climate change is worsening, and the loss it continues to inflict on human life and property is immeasurable. The dynamic balance of the water cycle is closely related to climate change, directly reflecting the trends in climate variation. In recent years, frequent climate events such as heavy rain, high temperatures, floods, and droughts have not only potentially reduced the types of vegetation cover and limited the suitable living spaces for humans but also destroyed ecosystems, all of which have caused many to have deep concerns about the future. As an important monitoring tool, satellite geodesy relies on the principles of geodesy to monitor the changes in the Earth’s climate environment. Its purpose is to apply the massive data generated by satellites, along with satellite imagery, meteorological data, geological information, and various Earth hydrological models developed based on satellite data to conduct the in-depth exploration and analysis of global or specific regions. These research findings provide valuable information for policymakers, helping them to develop more effective policies and measures in the hope of promoting sustainability.

This Special Issue aims to use satellite geodesy to enhance researchers’ understanding of climate change and the water cycle, while also paying attention to changes in the Earth’s ecological environment under the imbalance of the water cycle. We encourage researchers to submit high-quality papers related to this topic, which not only provide an in-depth analysis of current issues but also offer new perspectives and methods for future research. We welcome the submission of conceptual and empirical papers for novel ideas and inspiration related to the following topics:

  • Combination of GRACE and GNSS for the monitoring of terrestrial water storage changes;
  • Development of drought and flood indices based on GRACE/GRACE-FO; 
  • Innovation and practice of water resource management strategies under climate change;
  • Determination of the changes in river basin vegetation coverage under the influence of floods and droughts; 
  • Long-term prediction of runoff data based on machine learning;
  • Interpretation of the river basin water cycle using multi-source remote sensing data;
  • Analysis of the impact of human activities on climate change and the environment;
  • Improvement in the accuracy of water resource quantification using global hydrological models.

Dr. Wenjie Yin
Prof. Dr. Litang Hu
Guest Editors

Manuscript Submission Information

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Keywords

  • geodesy and remote sensing
  • GRACE
  • flood and drought events
  • machine learning
  • human ac-tivities
  • eco-environmental changes

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Published Papers (1 paper)

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Research

23 pages, 15140 KiB  
Article
Improved Resolution of Drought Monitoring in the Yellow River Basin Based on a Daily Drought Index Using GRACE Data
by Yingying Li, Wei Zheng, Wenjie Yin, Shengkun Nie, Hanwei Zhang and Weiwei Lei
Water 2025, 17(9), 1245; https://doi.org/10.3390/w17091245 - 22 Apr 2025
Viewed by 134
Abstract
Frequent droughts significantly threaten economic development, necessitating effective long-term drought monitoring. The Gravity Recovery and Climate Experiment (GRACE) satellite and its follow-on mission along with Global Navigation Satellite System (GNSS) inversion technologies provide long-term terrestrial water storage signals. However, their limitations in temporal [...] Read more.
Frequent droughts significantly threaten economic development, necessitating effective long-term drought monitoring. The Gravity Recovery and Climate Experiment (GRACE) satellite and its follow-on mission along with Global Navigation Satellite System (GNSS) inversion technologies provide long-term terrestrial water storage signals. However, their limitations in temporal resolution and spatial continuity are inadequate for current requirements. To solve this problem, this study combines a daily terrestrial water storage anomaly (TWSA) reconstruction method with the GNSS inversion technique to explore daily, spatially continuous TWSA in China’s Yellow River Basin (YRB). Furthermore, the Daily Drought Severity Index (DDSI) is employed to analyze drought dynamics in the YRB. Finally, by reconstructing the climate-driven water storage anomalies model, this study explores the influence of climate and human factors on drought. The results indicate the following: (1) The reconstructed daily TWSA product demonstrates superior quality compared to other available products and exhibits a discernible correlation with GNSS-derived daily TWSA data, while REC_TWSA is closer to the GRACE-based TWSA dataset. (2) The DDSI demonstrates superior drought monitoring capabilities compared to conventional drought indices. During the observation period from 2004 to 2021, the DDSI detected the most severe drought event occurring between 30 October 2010 and 10 September 2011. (3) Human activities become the primary driver of drought in the YRB. The high correlation of 0.81 between human-driven water storage anomalies and groundwater storage anomalies suggests that the depletion of TWSA is due to excessive groundwater extraction by humans. This study aims to provide novel evidence and methodologies for understanding drought dynamics and quantifying human factors in the YRB. Full article
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