Hydrometeorological Simulation and Prediction in a Changing Climate

A special issue of Atmosphere (ISSN 2073-4433).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 5

Special Issue Editor


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Guest Editor
Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, China
Interests: watershed hydrochemical model; impacts of climate change on water processes in the basin; application of artificial intelligence in climate change and basin hydrology
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Special Issue Information

Dear Colleagues,

Global climate change is deeply affecting hydrometeorological processes in the system that is Earth, creating great challenges to traditional hydrometeorological simulation and prediction. Climate change has led to more frequent extreme weather events, altered hydrological cycle patterns, and significant changes in precipitation patterns, all of which pose major threats to the sustainable development of human society. With climate change accelerating, we urgently need to develop more advanced simulation and prediction methods to improve our understanding and the predictive capabilities of complex hydrometeorological systems under non-stationary climate conditions.

This Special Issue of Atmosphere, "Hydrometeorological Simulation and Prediction in a Changing Climate", aims to bring together the latest research findings and explore innovative methods and solutions in the context of climate change. In particular, we welcome research that improves simulation and prediction capabilities, expands our understanding of climate change impacts, and supports climate-adaptive management decisions.

The scope of this Special Issue includes, but is not limited to, the following research areas:

  • Innovative Simulation Methods:
  • The application of coupled models for assessing hydrological responses to climate change;
  • The development of new meteorological and/or hydrological models for the better simulation of hydrological processes under changing climate condition;
  • Innovation in artificial intelligence and machine learning methods under climate change;
  • Multi-source data assimilation techniques adapted to climate change;
  • Model uncertainty quantification and assessment under climate change impacts.
  • Extreme Event Prediction:
  • Heavy rainfall and flood forecasting techniques under climate change;
  • Drought monitoring and early warning under global warming;
  • Typhoon/hurricane intensity and track prediction under changing climate conditions;
  • Urban flooding warning systems in the context of increasing extreme weather events.
  • Climate Change Impact Studies:
  • Changes in precipitation patterns under global warming;
  • Regional hydrological cycle responses to climate change;
  • Effects of temperature rise on evapotranspiration processes;
  • Land surface-atmosphere interaction mechanisms under climate change.
  • Regional-Scale Prediction:
  • Seasonal prediction of hydrometeorological elements under changing climate;
  • Regional climate change projections and their uncertainties;
  • Watershed hydrological forecasting under climate change impacts;
  • Water resource system assessment and management under non-stationary conditions.
  • Observation and Data Analysis:
  • Multi-source observational data integration for climate change monitoring;
  • Remote sensing methods for climate change studies;
  • Big data analysis in hydrometeorology for climate change;
  • Applications of reanalysis data in climate change research;
  • Design of observation networks for climate change adaptation;
  • Analysis methods for time-series remote sensing data.
  • Adaptive Management:
  • Hydrometeorological risk assessment under climate change scenarios;
  • Regional climate change adaptation strategies;
  • Multi-objective decision support under climate change;
  • Design of early warning systems based on climate change predictions.

In particular, this Special Issue welcomes

  • Research proposing new methods to address challenges brought by climate change;
  • Studies that combine climate science, hydrology, and meteorology;
  • Case studies featuring regional climate change characteristics;
  • Research addressing key challenges in the context of accelerating climate change.

We warmly invite researchers working in these areas to contribute to this Special Issue and help advance this important field.

Dr. Jian Sha
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. Atmosphere is an international peer-reviewed open access monthly 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 2400 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

  • climate change
  • hydrometeorological simulation
  • climate adaptation
  • extreme event prediction
  • hydrological cycle
  • machine learning
  • risk assessment

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Published Papers

This special issue is now open for submission.
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