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- 000 02114nam a22004215i 4500
- 008 100721s2010 xx |0| 0 eng d
- 020 __ |a 9783540747031 |q ebook
- 035 __ |a (MH)012826974HVD01-Aleph
- 035 __ |a (Springer)9783540747024
- 100 1_ |a Lahoz, William.
- 245 10 |a Data Assimilation : |b Making Sense of Observations / |c edited by William Lahoz, Boris Khattatov, Richard Menard.
- 260 __ |a Berlin, Heidelberg : |b Springer-Verlag Berlin Heidelberg, |c 2010.
- 300 __ |a v.1 |b : digital |c 24cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 520 __ |a Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in the field. Various aspects of data assimilation are discussed including: theory; observations; models; numerical weather prediction; evaluation of observations and models; assessment of future satellite missions; application to components of the Earth System. References are made to recent developments in data assimilation theory (e.g. Ensemble Kalman filter), and to novel applications of the data assimilation method (e.g. ionosphere, Mars data assimilation).
- 650 24 |a Atmospheric Protection/Air Quality Control/Air Pollution.
- 650 24 |a Meteorology/Climatology.
- 650 24 |a Remote Sensing/Photogrammetry.
- 650 24 |a Computer Applications in Earth Sciences.
- 650 24 |a Mathematical Applications in Earth Sciences.
- 650 _0 |a Environmental protection
- 650 _0 |a Remote sensing.
- 650 _0 |a Mathematical geography.