TY  - GEN
N2  - This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
DO  - 10.1007/978-3-030-77722-7
DO  - doi
AB  - This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
T1  - Data assimilation for atmospheric, oceanic and hydrologic applications.
DA  - [2022]
CY  - Cham :
AU  - Park, Seon K.
AU  - Xu, Liang,
CN  - QC809.M37
PB  - Springer,
PP  - Cham :
PY  - [2022]
ID  - 1442761
KW  - Earth sciences
KW  - Geophysics
KW  - Sciences de la terre
KW  - Géophysique
SN  - 9783030777227
SN  - 3030777227
TI  - Data assimilation for atmospheric, oceanic and hydrologic applications.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-77722-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-77722-7
ER  -