LEADER 04574nam 22008293 450 001 9910635387403321 005 20240320144113.0 010 $a3-031-18988-4 035 $a(CKB)5680000000295211 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/96225 035 $a(MiAaPQ)EBC7157470 035 $a(Au-PeEL)EBL7157470 035 $a(OCoLC)1369653801 035 $a(EXLCZ)995680000000295211 100 $a20230317d2022 uy 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStochastic Transport in Upper Ocean Dynamics $eSTUOD 2021 Workshop, London, UK, September 20-23 205 $a1st ed. 210 1$aCham :$cSpringer International Publishing AG,$d2022. 210 4$d©2023. 215 $a1 electronic resource (317 p.) 225 1 $aMathematics of Planet Earth 311 $a3-031-18987-6 330 $aThis open access proceedings volume brings selected, peer-reviewed contributions presented at the Stochastic Transport in Upper Ocean Dynamics (STUOD) 2021 Workshop, held virtually and in person at the Imperial College London, UK, September 20?23, 2021. The STUOD project is supported by an ERC Synergy Grant, and led by Imperial College London, the National Institute for Research in Computer Science and Automatic Control (INRIA) and the French Research Institute for Exploitation of the Sea (IFREMER). The project aims to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics. It will provide decision makers a means of quantifying the effects of local patterns of sea level rise, heat uptake, carbon storage and change of oxygen content and pH in the ocean. Its multimodal monitoring will enhance the scientific understanding of marine debris transport, tracking of oil spills and accumulation of plastic in the sea. All topics of these proceedings are essential to the scientific foundations of oceanography which has a vital role in climate science. Studies convened in this volume focus on a range of fundamental areas, including: Observations at a high resolution of upper ocean properties such as temperature, salinity, topography, wind, waves and velocity; Large scale numerical simulations; Data-based stochastic equations for upper ocean dynamics that quantify simulation error; Stochastic data assimilation to reduce uncertainty. These fundamental subjects in modern science and technology are urgently required in order to meet the challenges of climate change faced today by human society. This proceedings volume represents a lasting legacy of crucial scientific expertise to help meet this ongoing challenge, for the benefit of academics and professionals in pure and applied mathematics, computational science, data analysis, data assimilation and oceanography. 410 0$aMathematics of Planet Earth 606 $aApplied mathematics$2bicssc 606 $aProbability & statistics$2bicssc 606 $aCalculus & mathematical analysis$2bicssc 606 $aCybernetics & systems theory$2bicssc 606 $aOceanografia$2thub 608 $aCongressos$2thub 608 $aLlibres electrònics$2thub 610 $amathematics of planet earth 610 $aSTUOD 610 $aocean modelling 610 $aocean observations 610 $astochastic partial differential equations 610 $adynamical systems 610 $adata analysis 610 $adata assimilation 610 $adeep learning 610 $aparticle filters 610 $ageometric mechanics 610 $aNavier-Stokes equation 610 $astochastic transport 610 $astochastic parameterization 610 $astochastic variational principles 610 $anonlinear water waves 610 $afree surface fluid dynamics 610 $aStochastic Advection by Lie Transport 610 $aStochastic Forcing by Lie Transport 615 7$aApplied mathematics 615 7$aProbability & statistics 615 7$aCalculus & mathematical analysis 615 7$aCybernetics & systems theory 615 7$aOceanografia 700 $aChapron$b Bertrand$01313293 701 $aCrisan$b Dan$0524271 701 $aHolm$b Darryl$058911 701 $aMémin$b Etienne$01338383 701 $aRadomska$b Anna$01338384 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910635387403321 996 $aStochastic Transport in Upper Ocean Dynamics$93058284 997 $aUNINA