LEADER 05293nam 22006255 450 001 9910157475103321 005 20200704084506.0 010 $a3-319-43415-2 024 7 $a10.1007/978-3-319-43415-5 035 $a(CKB)3710000001001421 035 $a(DE-He213)978-3-319-43415-5 035 $a(MiAaPQ)EBC4774050 035 $a(PPN)197457371 035 $a(EXLCZ)993710000001001421 100 $a20161227d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) /$fedited by Seon Ki Park, Liang Xu 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXXVI, 553 p. 216 illus., 155 illus. in color.) 311 $a3-319-43414-4 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aKernel 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. 330 $aThis book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation. 606 $aEnvironmental sciences 606 $aCalculus of variations 606 $aComputer simulation 606 $aAtmospheric sciences 606 $aOceanography 606 $aMath. Appl. in Environmental Science$3https://scigraph.springernature.com/ontologies/product-market-codes/U24005 606 $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aAtmospheric Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/G36000 606 $aOceanography$3https://scigraph.springernature.com/ontologies/product-market-codes/G25005 615 0$aEnvironmental sciences. 615 0$aCalculus of variations. 615 0$aComputer simulation. 615 0$aAtmospheric sciences. 615 0$aOceanography. 615 14$aMath. Appl. in Environmental Science. 615 24$aCalculus of Variations and Optimal Control; Optimization. 615 24$aSimulation and Modeling. 615 24$aAtmospheric Sciences. 615 24$aOceanography. 676 $a333.7 702 $aPark$b Seon Ki$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aXu$b Liang$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910157475103321 996 $aData Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)$92500554 997 $aUNINA