Regional Hydrology: Coupling Experiments, Ground Monitoring, Remote Sensing and Citizen Science
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 4416
Special Issue Editors
Interests: observation and modelling of water cycle components at different scales
Special Issues, Collections and Topics in MDPI journals
Interests: regionalisation; comparative hydrology; land-use change impact; hydrological extremes
Interests: forest hydrology; evapotranspiration; groundwater; field measurements
Interests: flood estimation; prediction in ungauged basins; experimental research, engineering hydrology; spatial patterns in regional hydrology
Special Issue Information
Dear Colleagues,
Increasing the availability of data and their assimilation into hydrological models based on the latest developments in radar meteorology, geophysics, experiments on hillslopes and tracer studies in catchments gives hydrologists an opportunity to critically examine process representations in hydrological catchment models and to evaluate and compare different models of the same type (e.g., distributed) or different types of models (e.g., distributed vs lumped, process-based vs conceptual) on a plot, hillslope and regional basis. Increased data availability supported by new measurement and sensing technologies calls for knowledge-based assimilation of these data into local and regional hydrology and catchment modelling. Coupling field experiments, remote sensing, network data and citizen science with process-oriented modelling helps to explore and respect the complexity and multiscale nature of the interactions among drivers and runoff generation in the area in comparative and regime studies at the regional scale.
This Special Issue is looking for studies focusing on and examining the following topics:
- New supportive evidence from field experiments leading to better process understanding at the regional scale;
- Coupling data from remote sensing, radar meteorology, plot- and hillslope-scale experiments, tracer studies, citizen science, etc. with catchment models;
- Discovering regional patterns in hydrological processes and regimes on various temporal and spatial scales utilizing the new increased data availability;
- Confrontation of the adequacy of process representations in hydrological catchment models with knowledge gained from new types of data;
- Better process representations in hydrologic models in diverse environments and implications for more reliable predictions in gauged and ungauged basins, and the evaluation of the appropriateness of models for particular practical problems under changes in hydrological regimes of anthropogenic origin, including climate and land-use change impacts.
Prof. Dr. Juraj Parajka
Prof. Dr. Jan Szolgay
Prof. Dr. Zoltan Gribovszki
Prof. Dr. Günter Blöschl
Guest Editors
Manuscript Submission Information
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Keywords
- regional hydrology
- experimental hydrology
- comparative hydrology
- catchment modelling
- spatial patterns
- remote sensing
- citizen science
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