{"product_id":"9783319820101","title":"Springer Atmospheric Sciences","description":"\u003ch1\u003eSpringer Atmospheric Sciences\u003c\/h1\u003e \u003ch2\u003eLakshmivarahan, Sivaramakrishnan; Lewis, John M.; Jabrzemski, Rafal\u003c\/h2\u003e \u003cp\u003eThis book introduces the reader to a new method of data assimilation with deterministic constraints (exact satisfaction of dynamic constraints)—an optimal assimilation strategy called Forecast Sensitivity Method (FSM), as an alternative to the well-known four-dimensional variational (4D-Var) data assimilation method. 4D-Var works with a forward in time prediction model and a backward in time tangent linear model (TLM). The equivalence of data assimilation via 4D-Var and FSM is proven and problems using low-order dynamics clarify the process of data assimilation by the two methods. The problem of return flow over the Gulf of Mexico that includes upper-air observations and realistic dynamical constraints gives the reader a good idea of how the FSM can be implemented in a real-world situation.        \u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2018-06-23\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783319820101\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-319-39997-3\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 270\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":46919242416268,"sku":"9783319820101","price":107.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783319820101.jpg?v=1774525901","url":"https:\/\/lateknightbooks.com\/products\/9783319820101","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}