TY  - GEN
N2  - Presents 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.
DO  - 10.1007/978-3-540-71056-1
DO  - doi
AB  - Presents 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.
T1  - Data assimilation for atmospheric, oceanic and hydrologic applications /
DA  - ©2009.
CY  - Heidelberg :
AU  - Park, Seon Ki,
AU  - Xu, Liang.
JF  - Springer eBooks
CN  - QC809.M37
PB  - Springer,
PP  - Heidelberg :
PY  - ©2009.
ID  - 1467658
KW  - Earth sciences
KW  - Geophysics
KW  - Sciences de la terre
KW  - Géophysique
SN  - 9783540710561
SN  - 3540710566
SN  - 1282006428
SN  - 9781282006423
SN  - 3319434152
SN  - 9783319434155
TI  - Data assimilation for atmospheric, oceanic and hydrologic applications /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-319-43415-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-319-43415-5
ER  -