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Spatiotemporal Variability in Hydrologic Systems from GRACE, Remote Sensing, and Climate Data

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 43

Special Issue Editor


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Guest Editor
School of Sustainability, Arizona State University, Tempe, AZ, USA
Interests: hydrology; GRACE; remote sensing; geophysics; GIS; statistical analysis; climate change studies

Special Issue Information

Dear Colleagues,

Remote sensing has revolutionized our ability to monitor hydrological processes and climate-driven changes in water resources. The GRACE and GRACE-FO satellite missions have provided critical insights into terrestrial water storage (TWS) dynamics, enabling researchers to quantify groundwater depletion, surface water fluctuations, and soil moisture variability at regional and global scales. As climate change alters wind regimes, precipitation patterns, and groundwater recharge, it is essential to integrate GRACE data with other remote sensing observations and hydrological models to assess these impacts comprehensively.

This Special Issue aims to explore the latest advancements in hydrological remote sensing by combining GRACE/GRACE-FO observations with multi-sensor satellite datasets, hydrological modeling, and climate data. The focus will be on understanding the drivers of spatiotemporal water storage variability, assessing climate-induced changes in precipitation and recharge patterns, and refining data assimilation and downscaling methods for improved hydrological forecasting.

We invite original research, review articles, and case studies covering, but not limited to, the following:

  • Climate change impacts on precipitation patterns and groundwater recharge;
  • Integration of GRACE/GRACE-FO with remote sensing and climate datasets;
  • Advancements in hydrological modeling and data assimilation;
  • Wind regime shifts and their influence on hydrological cycles;
  • Remote sensing applications for groundwater and surface water management.

This Special Issue contributes to the “Remote Sensing in Geology, Geomorphology and Hydrology” section by advancing satellite-based techniques for monitoring Earth's dynamic hydrological processes.

Dr. Karem Abdelmohsen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • GRACE/GRACE-FO
  • remote sensing in hydrology
  • terrestrial water storage (TWS)
  • groundwater recharge
  • precipitation patterns
  • climate change impacts
  • wind regime shifts
  • hydrological modeling
  • data assimilation and downscaling
  • water resource management

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Published Papers

This special issue is now open for submission.
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