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