Remote Sensing in Hydrological Modelling

Dear Colleagues,

Satellite remote sensing can now provide very useful observations for water resource monitoring. Land use, land cover, river networks, lakes, and snowpack, as well as certain atmospheric variables that are determinant of surface–atmosphere exchanges, such as those related to rainfall or evapotranspiration, are variables that can be assessed from space with various types of instruments. Moreover, they can be measured at unprecedented temporal and spatial scales, thanks to recent on-board instruments. Hydrological models are often largely parameterized and require observations for their calibration in order to model water resources accurately. For that purpose, EO data provide valuable information that can be used to constrain hydrological models. However, it is also important to assess their limitations and to quantify their uncertainties in order to exploit these data optimally.The objective of this Special Issue is to describe state-of-the-art applications of satellite remote sensing in hydrological modelling. Contributions presenting the use of new algorithms and/or new EO data to assess land surface variables impacting the energy and water cycles at regional or global scales are expected. The research presented might focus on:

• Innovative methods and observations to map land use and catchment characteristics and to characterize atmospheric forcing, especially rainfall and snowfall and their spatial and temporal variability.
• Innovative methods and observations to retrieve or monitor hydrological variables or parameters such as soil moisture, snowpack, evapotranspiration, interception, etc.
• New approaches to assess observations and model uncertainties.
• New approaches and metrics to evaluate hydrological models.
• Advanced methods to upscale/downscale hydrological variables.
• Innovative techniques to assimilate EO products in hydrological models.
• Advanced applications in irrigation hydrology and water management, including hydrological monitoring and forecasting.
• Review papers on potential and limitations of various EO products.

Dr. Catherine Ottlé
Dr. Aaron Boone
Guest Editors

Manuscript Submission Information

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