Data Assimilation in Hydrology and Marine Ecosystems
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 258
Special Issue Editors
Interests: data assimilation; weather forecast; subsurface hydrology; ocean biogeochemistry
Interests: hydrologic modeling; flood forecasting; data assimilation; coastal coupling; model calibration
Special Issue Information
Dear Colleagues,
Over the last few decades, Data Assimilation (DA) has become a prominent procedure through which scientists use observations to guide model predictions towards accurate trajectories. Given its widespread applications, DA is primarily used to initialize model projections, state estimation, and reanalysis and parameter tuning.
Hydrologic and marine systems are often used to study surface and subsurface water interactions, soil moisture, coastal flooding, storm surges, and various ecosystem components. These models, although very advanced and sophisticated, can be highly uncertain, which limits their prediction accuracy. Unreliable model forecasts can yield unfortunate and sometimes catastrophic events, causing infrastructure losses and even deaths. Hence, it is particularly important to use techniques such as DA to improve model projections. This is usually done by combining observations with the model’s output to produce an improved analysis estimate of the state and its associated uncertainties.
The aim of this Special Issue, entitled “Data Assimilation in Hydrology and Marine Ecosystems”, is to: [1] showcase regional DA hydrologic/ocean applications using in situ and satellite observations and [2] to present state-of-the-art DA techniques that can help improve our understanding of the surface and subsurface water interactions, ocean ecosystem models and other related phenomena.
We invite authors to submit research articles and review papers that demonstrate the importance of data assimilation in hydrology and marine ecosystems.
Dr. Mohamad Gharamti
Dr. Arezoo Rafieeinasab
Guest Editors
Manuscript Submission Information
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Keywords
- data assimilation
- hydrology
- streamflow
- snow
- soil moisture
- groundwater
- coastal and ocean models
- flooding and inundation
- ocean biogeochemistry
- parameter estimation
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