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B01=Boris Khattatov
B01=Richard Menard
B01=William Lahoz
Category1=Non-Fiction
Category=PDE
Category=TBJ
COP=Germany
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€100 and above
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Data Assimilation: Making Sense of Observations

English

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).

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Current price €183.34
Original price €192.99
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Age Group_Uncategorizedautomatic-updateB01=Boris KhattatovB01=Richard MenardB01=William LahozCategory1=Non-FictionCategory=PDECategory=TBJCOP=GermanyDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
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Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 05 Jul 2010
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publication City/Country: Germany
  • Language: English
  • ISBN13: 9783540747024

About

William Lahozs main interests are data assimilation and Earth Observation. He has numerous publications in leading scientific journals and book chapters. He has organized international symposia conferences and Summer Schools and been an invited speaker. William is an ACP editor. He contributed to the 1998 WMO Ozone Assessment. He has been on several international scientific committees. William currently leads NILU land data assimilation activities. He co-funded the UK-DARC of which he was Deputy Director and led the prestigious European project on Envisat data assimilation ASSET. Boris Khattatov primary area of expertise involves applications of optimal control estimation and inverse problem theory to problems in the numerical modelling of the Earths atmosphere and satellite data analysis. Boris led a US Air Force sponsored effort on advancing modelling capabilities for nowcasting and forecasting ionospheric weather. He has numerous publications in leading scientific journals and has contributed to books and patents. Richard Ménard has been involved in data assimilation for nearly 20 years. Thereafter he joined the NASA Global Modeling and Assimilation Office and then joined Environment Canada in 2000. He was awarded his Ph.D. on Kalman filtering of Burgers equation (Roger Daley advisor). He has made several contributions in the field of Kalman filtering chemical data assimilation covariance modelling validation of assimilation systems and chemical-dynamical coupling.  

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