Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)
-15%
portes grátis
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)
Xu, Liang; Park, Seon Ki
Springer International Publishing AG
07/2018
553
Mole
Inglês
9783319828183
15 a 20 dias
896
Descrição não disponível.
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.
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Data Assimilation;Variational Method;Adjoint Method;Sensitivity Analysis;Kalman Filter;Monte Carlo Method;Targeting Observation
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
