LEADER 03956nam 2200865z- 450 001 9910367743703321 005 20240318175328.0 010 $a3-03921-641-4 035 $a(CKB)4100000010106280 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41454 035 $a(EXLCZ)994100000010106280 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAssimilation of Remote Sensing Data into Earth System Models 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (236 p.) 311 $a3-03921-640-6 330 $aIn the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean?atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean?atmosphere, land?atmosphere, and soil?vegetation data assimilation. 610 $aland data assimilation system 610 $aland data assimilation 610 $arainfall-runoff simulation 610 $a4D-Var data assimilation 610 $atotal water storage 610 $aaccuracy 610 $aocean?atmosphere assimilation 610 $aprecipitation 610 $aEarth system models 610 $anumerical weather prediction 610 $afluorescence 610 $aGRACE 610 $aMCA analysis 610 $aweakly coupled data assimilation 610 $aGPM IMERG 610 $aatmospheric models 610 $arainfall correction 610 $aremote sensing 610 $amicrowave remote sensing 610 $aSMAP 610 $aland surface modeling 610 $abending angle 610 $afloods soil moisture 610 $avegetation 610 $aGPSRO 610 $aWRF 610 $amerged CMORPH 610 $aland surface model 610 $atemperature 610 $a4D-Var 610 $adata assimilation 610 $adata-driven methods 610 $aGSI 610 $aradio occultation data 610 $arainfall 610 $asoil moisture 610 $asea level anomaly 610 $atotal cloud cover 610 $aland surface models 610 $aMediterranean basin 610 $ainterpolation 610 $asea surface height 610 $adrought 610 $aTRMM 3B42 610 $aanalog data assimilation 610 $aocean models 700 $aCalvet$b Jean-Christophe$4auth$01312847 702 $aDe Rosnay$b Patricia$4auth 702 $aPenny$b Stephen G$4auth 906 $aBOOK 912 $a9910367743703321 996 $aAssimilation of Remote Sensing Data into Earth System Models$93031022 997 $aUNINA