Data Assimilation Making Sense of Observations /

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 fi...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Lahoz, William (Επιμελητής έκδοσης), Khattatov, Boris (Επιμελητής έκδοσης), Menard, Richard (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Data Assimilation  |h [electronic resource] :  |b Making Sense of Observations /  |c edited by William Lahoz, Boris Khattatov, Richard Menard. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2010. 
300 |a XIV, 718 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Theory -- 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 |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 0 |a Earth sciences. 
650 0 |a Oceanography. 
650 0 |a Atmospheric sciences. 
650 0 |a Remote sensing. 
650 0 |a Air pollution. 
650 1 4 |a Earth Sciences. 
650 2 4 |a Earth Sciences, general. 
650 2 4 |a Remote Sensing/Photogrammetry. 
650 2 4 |a Atmospheric Sciences. 
650 2 4 |a Oceanography. 
650 2 4 |a Atmospheric Protection/Air Quality Control/Air Pollution. 
700 1 |a Lahoz, William.  |e editor. 
700 1 |a Khattatov, Boris.  |e editor. 
700 1 |a Menard, Richard.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540747024 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-74703-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-EES 
950 |a Earth and Environmental Science (Springer-11646)