Data assimilation for atmospheric, oceanic and hydrological applications. Volume III (2017)

• Record Type: Book
• Further Information: Note: Seon Ki Park, Liang Xu, editors.
• Editors: Xu, Liang; Park, Seon Ki
• Contents: Kernel Methods for Data Assimilation in Geophysical Modeling.-Adjoint-free 4d variational assimilation into regional models, -Investigation of scale sensitivity using a nested adjoint model.-Assessment of radiative effects of hydrometeors in rapid radiative transfer model in support of satellite cloud and precipitation data assimilation.-Data assimilation over complex terrain.-Assessing the impacts of ocean surface winds and 3-D wind measurements on high-impact weather forecasting.-Quantification of Uncertainty in forecast using Polynomial Chaos and Unscented Transformations and their impact in ensemble data assimilation.-Soil Moisture Data Assimilation.-Toward new applications of the adjoint sensitivity tools in variational data assimilation.-Information Quantification for Data Assimilations.-Impact of Data Assimilation on Super Typhoon (2010).-Forecast sensitivity to observations.-Data assimilation for coupled modeling systems.-GPS TPW Assimilation with the JMA Nonhydrostatic 4DVAR and Cloud Resolving Ensemble Forecast for the 2008 August Tokyo.-Validation and operational implementation of the four dimensional variational data assimilation system for the Navy coastal ocean model.-Recent Advances in Bottom Topography Mapping via Data Assimilation in Rivers, Estuaries, and the Coastal Ocean.-Data Assimilation Experiments of Refractivity Observed by JMA Operational Radar.-Stratospheric and Mesospheric Data Assimilation.-A review on variational methods for geophysical flows.-A new multi-outerloop formulation for NAVDAS-AR.-Impact of model physics on assimilation of precipitation and cloudy radiance observations in 4DVar.-A coupled atmosphere-chemistry data assimilation: Application to a tropical cyclone.-Improving the snow albedo parameterization using optimal estimation in land surface modeling.-Study of the impact of uncertainty of climate change on the simulation of terrestrial ecosystem by using the conditional nonlinear optimal perturbation of parameters.-Target Observations for High-impact Ocean-Atmospheric Environmental Events.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Copyright Date: 2017
• Extent: 1 online resource
• Subjects: 551.634; Environment; Numerical weather forecasting; Hydrology -- Mathematical models; Meteorology -- Mathematical models; Oceanography -- Mathematical models; Environmental sciences; Mathematical optimization; Computer simulation; Oceanography; Hydrology -- Mathematical models; Meteorology -- Mathematical models; Numerical weather forecasting; Oceanography -- Mathematical models; Mathematics -- Calculus; Computers -- Computer Simulation; Science -- Earth Sciences -- Meteorology & Climatology; Science -- Earth Sciences -- Oceanography; Calculus of variations; Computer modelling & simulation; Earth sciences; Oceanography (seas); Science -- Environmental Science; The environment; Electronic books
• Languages: English
• ISBNs: 9783319434148; 3319434144; 9783319434155; 3319434152
• Notes: Note: Includes bibliographical references at the end of each chapters and index.; Note: Description based on print version record.
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