001467658 000__ 05575cam\\2200805\a\4500 001467658 001__ 1467658 001467658 003__ OCoLC 001467658 005__ 20230707003333.0 001467658 006__ m\\\\\o\\d\\\\\\\\ 001467658 007__ cr\cn\nnnunnun 001467658 008__ 090415s2009\\\\gw\a\\\\ob\\\\001\0\eng\d 001467658 019__ $$a425741059$$a427709618$$a471936788$$a500975200$$a646800996$$a756714839$$a778310442$$a780393141$$a815763909$$a823120264$$a824152610$$a880315316$$a957349770$$a972949515$$a980828977$$a987018616$$a988761025$$a990933545$$a993698095$$a999658199$$a1001978900$$a1003910390$$a1005572196$$a1005833126$$a1007841963$$a1022753121$$a1027178558$$a1029447972$$a1031316940$$a1034624553$$a1037715923$$a1044277917$$a1066612890$$a1067051397$$a1110949241$$a1204087010 001467658 020__ $$a9783540710561 001467658 020__ $$a3540710566 001467658 020__ $$a1282006428 001467658 020__ $$a9781282006423 001467658 020__ $$a3319434152 001467658 020__ $$a9783319434155 001467658 020__ $$z9783540710554 001467658 020__ $$z3540710558 001467658 020__ $$z6612006420 001467658 020__ $$z3642090095 001467658 020__ $$z3540867465 001467658 020__ $$z3319434144 001467658 020__ $$z3642350879 001467658 020__ $$z3642350887 001467658 020__ $$z3642350895 001467658 020__ $$z3662510235 001467658 0247_ $$a10.1007/978-3-540-71056-1$$2doi 001467658 035__ $$aSP(OCoLC)318545485 001467658 040__ $$aGW5XE$$beng$$epn$$cGW5XE$$dYDXCP$$dWAU$$dIDEBK$$dOCLCQ$$dUAB$$dE7B$$dPUL$$dCOO$$dN$T$$dCOA$$dCEF$$dOCLCO$$dEBLCP$$dOCLCQ$$dOCLCF$$dBEDGE$$dOCLCO$$dOCLCQ$$dOCLCO$$dSLY$$dDEBSZ$$dOCLCO$$dTXI$$dOCLCQ$$dOCLCO$$dJG0$$dOCLCQ$$dESU$$dVT2$$dU3W$$dWYU$$dYOU$$dUKAHL$$dOL$$$dOCLCQ$$dS2H$$dOCLCO$$dOCLCQ$$dOCLCA$$dOCLCQ$$dDCT 001467658 049__ $$aISEA 001467658 050_4 $$aQC809.M37$$bD38 2009 001467658 08204 $$a550$$222 001467658 24500 $$aData assimilation for atmospheric, oceanic and hydrologic applications /$$cSeon K. Park, Liang Xu (Eds.). 001467658 260__ $$aHeidelberg :$$bSpringer,$$c©2009. 001467658 300__ $$a1 online resource 001467658 336__ $$atext$$btxt$$2rdacontent 001467658 337__ $$acomputer$$bc$$2rdamedia 001467658 338__ $$aonline resource$$bcr$$2rdacarrier 001467658 347__ $$atext file 001467658 347__ $$bPDF 001467658 504__ $$aIncludes bibliographical references and index. 001467658 5050_ $$aSasaki's Pathway to Deterministic Data Assimilation -- Data Assimilation for Numerical Weather Prediction: A Review -- Theoretical and Practical Issues of Ensemble Data Assimilation in Weather and Climate -- Information Measures in Ensemble Data Assimilation -- Real Challenge of Data Assimilation for Tornadogenesis -- Radar Rainfall Estimates for Hydrologic and Landslide Modeling -- High-Resolution QPE System for Taiwan -- Assimilation of Satellite Data in Improving Numerical Simulation of Tropical Cyclones: Progress, Challenge and Development -- Diagnostics for Evaluating the Impact of Satellite Observations -- Impact of the CHAMP Occultation Data on the Rainfall Forecast -- Parameter Estimation Using the Genetic Algorithm in Terms of Quantitative Precipitation Forecast -- Applications of Conditional Nonlinear Optimal Perturbations to Ensemble Prediction and Adaptive Observation -- Study on Adjoint-Based Targeted Observation of Mesoscale Low on Meiyu Front -- Ocean Data Assimilation: A Coastal Application -- Comparison of Ensemble-Based Filters for a Simple Model of Ocean Thermohaline Circulation -- Preconditioning Representer-based Variational Data Assimilation Systems: Application to NAVDAS-AR -- Cycling the Representer Method with Nonlinear Models -- Implementation of the Ensemble Kalman Filter into a Northwest Pacific Ocean Circulation Model -- Particle Filtering in Data Assimilation and Its Application to Estimation of Boundary Condition of Tsunami Simulation Model -- Data Assimilation in Hydrology: Variational Approach -- Recent Advances in Land Data Assimilation at the NASA Global Modeling and Assimilation Office -- Assimilation of Soil Moisture and Temperature Data into Land Surface Models: A Survey -- Assimilation of a Satellite-Based SoilMoisture Product into a Two-Layer Water Balance Model for a Global Crop Production Decision Support System. 001467658 506__ $$aAccess limited to authorized users. 001467658 520__ $$aPresents the achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. This work spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and other ensemble methods. 001467658 588__ $$aDescription based on print version record. 001467658 650_0 $$aEarth sciences$$xMathematics. 001467658 650_0 $$aGeophysics$$xMathematics. 001467658 650_6 $$aSciences de la terre$$xMathématiques. 001467658 650_6 $$aGéophysique$$xMathématiques. 001467658 655_0 $$aElectronic books. 001467658 7001_ $$aPark, Seon Ki,$$d1961- 001467658 7001_ $$aXu, Liang. 001467658 7730_ $$tSpringer eBooks 001467658 77608 $$iPrint version:$$aPark, Seon.$$tData assimilation for atmospheric, oceanic and hydrologic applications.$$dBerlin, Heidelberg : Springer, ©2009$$w(DLC) 2008935664 001467658 852__ $$bebk 001467658 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-319-43415-5$$zOnline Access$$91397441.1 001467658 909CO $$ooai:library.usi.edu:1467658$$pGLOBAL_SET 001467658 980__ $$aBIB 001467658 980__ $$aEBOOK 001467658 982__ $$aEbook 001467658 983__ $$aOnline 001467658 994__ $$a92$$bISE