000			03780nam a22005295i 4500
001			u373204
003			SIRSI
005			20160812084135.0
007			cr nn 008mamaa
008			100721s2010 gw | s |||| 0|eng d
020			_a9783540747031 _9978-3-540-74703-1
040			_cMX-MeUAM
050		4	_aGB3-5030
050		4	_aQE1-996.5
082	0	4	_a550 _223
100	1		_aLahoz, William. _eeditor.
245	1	0	_aData Assimilation _h[recurso electrónico] : _bMaking Sense of Observations / _cedited by William Lahoz, Boris Khattatov, Richard Menard.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2010.
300			_aXIV, 718 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aTheory -- Data Assimilation and Information -- Mathematical Concepts of Data Assimilation -- Variational Assimilation -- Ensemble Kalman Filter: Current Status and Potential -- Error Statistics in Data Assimilation: Estimation and Modelling -- Bias Estimation -- The Principle of Energetic Consistency in Data Assimilation -- Evaluation of Assimilation Algorithms -- Initialization -- Observations -- The Global Observing System -- Assimilation of Operational Data -- Research Satellites -- Meteorology and Atmospheric Dynamics -- General Concepts in Meteorology and Dynamics -- The Role of the Model in the Data Assimilation System -- Numerical Weather Prediction -- Atmospheric Chemistry -- to Atmospheric Chemistry and Constituent Transport -- Representation and Modelling of Uncertainties in Chemistry and Transport Models -- Constituent Assimilation -- Inverse Modelling and Combined State-Source Estimation for Chemical Weather -- Wider Applications -- Ocean Data Assimilation -- Land Surface Data Assimilation -- Assimilation of GPS Soundings in Ionospheric Models -- The Longer View -- Reanalysis: Data Assimilation for Scientific Investigation of Climate -- Observing System Simulation Experiments -- Data Assimilation for Other Planets.
520			_aData 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		0	_aGeography.
650		0	_aMeteorology.
650		0	_aOceanography.
650		0	_aRemote sensing.
650		0	_aEnvironmental protection.
650	1	4	_aEarth Sciences.
650	2	4	_aEarth Sciences, general.
650	2	4	_aEarth Sciences, general.
650	2	4	_aRemote Sensing/Photogrammetry.
650	2	4	_aMeteorology/Climatology.
650	2	4	_aOceanography.
650	2	4	_aAtmospheric Protection/Air Quality Control/Air Pollution.
700	1		_aKhattatov, Boris. _eeditor.
700	1		_aMenard, Richard. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540747024
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-540-74703-1
596			_a19
942			_cLIBRO_ELEC
999			_c201084 _d201084