menu
{ "item_title" : "Data Assimilation", "item_author" : [" William Lahoz", "Boris Khattatov", "Richard Menard "], "item_description" : "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).", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/64/242/273/364242273X_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Assimilation|William Lahoz

Data Assimilation : Making Sense of Observations

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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).

This item is Non-Returnable

Details

  • ISBN-13: 9783642422737
  • ISBN-10: 364242273X
  • Publisher: Springer
  • Publish Date: November 2014
  • Dimensions: 9.21 x 6.14 x 1.47 inches
  • Shipping Weight: 2.23 pounds
  • Page Count: 718

Related Categories

You May Also Like...

    1

BAM Customer Reviews