Analysis, Modeling, and Monitoring of Extreme Events from Space
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Hydrogeology".
Deadline for manuscript submissions: closed (25 September 2020) | Viewed by 475
Special Issue Editors
Interests: microwave remote sening; soil moisture; hydrology; drought; climate models
Special Issues, Collections and Topics in MDPI journals
Interests: earth observation remote sensing; soil and water engineering; evapotranspiration; UAV; real time monitoring
Special Issue Information
Dear Colleagues,
Extreme events (e.g., droughts, floods, extreme precipitation, tropical storms) are complex systems that have socio-economic and socio-ecologic consequences. Analysis of the past events and prediction of the characteristics of the future climate extremes are useful for their early warning for longer-term adaptation decisions. Extreme events are complex and therefore remain a challenge to be understood, modelled, or predicted. Nowadays, datasets of important geophysical variables (e.g., soil moisture, sea surface salinity, freeze and thaw soil state, vegetation water content), which control the energy/water/carbon balance between the atmosphere and the surface, can be obtained from satellites (e.g., SMOS, SMAP, MODIS, ASCAT, AQUA), models, or merged products (e.g., GLDAS, CCI, ERA-Interim, TRMM, GPM) at the global scale. Knowledge of such datasets is of interest to monitor and make skilful predictions of extreme events (i.e., floods and droughts) and to obtain improved decision making systems. This is a dedicated Special Issue on modelling, analysis and prediction of extreme events to better understand their behaviour with better knowledge on the theory and applications. Studies on all subjects that are related to extreme events are welcomed in this special issue:
Potential topics include, but are not limited to, the following:
- State-of-the-art on the use of remote sensing-based, model-based, and merged datasets for the study of extreme events
- new approaches for identification, prediction, and modelling of extreme events including their causality
- new concepts to better understand extreme events and their consequences
- theory of extreme events and their applications in the geosciences; use of state-of-the-art global climate model-based datasets related to extreme events
- impact of climate change on the characteristics of extreme events
- Mapping of the spatial distribution and temporal variation of soil moisture and climate factors
- Identifying and prioritizing mitigation solutions and other resilience options into a risk reduction strategy for action
Dr. Amen Al-Yaari
Dr. Yaseen Al-Mulla
Dr. M. Tugrul Yilmaz
Guest Editors
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Keywords
- Droughts
- Floods
- Global datasets
- Extreme events
- Infrastructure Resilient
- Remote Sensing/model based Global Datasets
- Strategic Planning
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