Special Issue "Remote Sensing of Hydrometeorological Extremes"
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: closed (31 January 2020).
Interests: floods; drought; landslides; hydrological modelling; data assimilation; satellite soil moisture; satellite precipitation; water resource engineering
Special Issues and Collections in MDPI journals
Interests: Remote sensing applications in atmospheric and hydrologic science; Uncertainty analysis; Land data assimilation systems; Land surface modeling; Water resource engineering
Interests: Landslides; Remote sensing of precipitation; Floods
Interests: Hydrologic data assimilation; Snow hydrology modeling and remote sensing; Gravity Recovery And Climate Experiment (GRACE and GRACE-FO) missions; Groundwater
Interests: extreme hydrological events (floods, droughts, heavy rainfall, sediment); statistical hydrology (frequency analysis, regionalization methods, geostatistics); rainfall-runoff modeling (flood processes, water resources); climate change impacts on hydrology
The current intensification of hydroclimatic hazards due to climate change is posing several threats to human security causing humanitarian, environmental, and financial disasters. Climate change alters hydrometeorological variables, like temperature and precipitation, and produces changes in the partitioning of precipitation into evapotranspiration and runoff. This exacerbates hydroclimatic extremes like floods, droughts, heat waves and landslides, which have been revealing an unprecedented intensification during the last two decades.
In this scenario, monitoring hydroclimatic variables is of paramount importance for predicting and facing these extreme events, but it is also a difficult task due to the scarcity and sharp decline of in-situ measurement around the world. Remote sensing together with advanced modeling techniques offers an unprecedented opportunity to improve our understanding of underlying hydrological processes and allows assessing the likelihood, extent, and uncertainty of extreme events in order to mitigate their impacts.
This Special Issue aims at documenting not only the most recent progress in the methods used to monitor, model, and forecast hydroclimatic extremes, but also at understanding how changes in frequency and magnitude of hydroclimatic variables project into extreme events. The Special Issue also encourages studies that investigate the changes and trends of extreme events—e.g., river floods, flash floods, extreme temperatures, heat and cold waves, droughts and landslides—using remote sensing observations.
Dr. Christian Massari
Dr. Viviana Maggioni
Dr. Luca Ciabatta
Dr. Manuela Girotto
Dr. Yves Tramblay
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 papers will be 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 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.
- Remote Sensing
- Hydrological modeling