Advancement of Remote Sensing in Regional Climate Modeling: Observations, Mechanisms, and Projections
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: closed (10 November 2023) | Viewed by 14254
Special Issue Editors
Interests: atmospheric dynamics; regional climate modeling; drought and precipitation extremes; atmosphere–land interaction
Interests: water resources; climate changes; precipitation extremes; hydrological modeling
Special Issues, Collections and Topics in MDPI journals
Interests: landscape; ecohydrology; evapotranspiration; climate change; geology; hydrology; solar radiation; vegetation; geomorphology
Special Issue Information
Dear Colleagues,
Regional climate models (RCMs) have been widely used at global and regional scales due to their high resolution, detailed regional climate characteristics and multiple configurable physical modules. RCMs have been widely used in studying the feedback of human activities on regional climate and their complex impacts on water, energy, food and ecology under climate change. However, the modeling and performance evaluation of RCM rely on high-quality observation for various climate variables (e.g., precipitation, evaporation, soil moisture, radiation, leaf area index, and crop yield). With the rapid development of remote sensing technology in recent decades, large-scale, long-time series, and multivariate high-resolution remote sensing datasets have become indispensable data sources for RCM modeling and application. The progress of remote sensing technology not only makes up for the deficiency of in-situ observation, but also effectively improves the simulation performance of RCM, which enables the study of the complex relationship among water, energy, food and ecology under the influence of climate change and human activities. Toward this end, this Special Issue aims to promote the latest advances in applying remote sensing to climate modeling at the regional scale. Major topics of interest include but are not limited to:
- Detection and attribution of historical, current and future regional climate changes using remote sensing or combined with regional climate models.
- Modeling and performance evaluation of regional climate and hydrological models based on remote sensing or site observation.
- Application of remote sensing and regional climate models in solving water–energy–food–eco-environment problems, including the impacts of climate change on the hydrological cycle, clean energy, crop yield, eco-environment, etc.
- Remote sensing and regional climate model applications in hydroclimatology, including assessing and predicting the impact of climate change on extreme hydroclimatic events such as flood, drought, and heavy precipitation.
- Application of remote sensing and regional climate models to precipitation, evapotranspiration, soil moisture, groundwater and soil erosion.
- Assessment of the impacts of human activities such as agricultural irrigation, water and soil conservation, inter-basin water diversion projects and afforestation on regional climate, water cycle and ecological environment using remote sensing and regional climate models.
Dr. Yanping Li
Dr. Ya Huang
Dr. Omer Yetemen
Dr. Qing Yang
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- climate projection
- regional climate modeling
- hydrological modeling
- water resources
- extreme hydrometeorological events
- global water and energy cycles
- climate change
- dynamical downscaling
- atmosphere–land interaction
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