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NASA Technical Repor - Design and Implementation of a Parallel Multiva - N555z
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eBay item number:386947477218
Item specifics
- Condition
- Fiction/Non-Fiction
- Non-Fiction
- Genre/Subject
- POLITICAL SCIENCE / General
- Brand
- NA
- Weight
- 0.11
- Style
- NA
- Title
- Design and Implementation of a Parallel Multivariate Ensemble Kal
- Release Title
- Design and Implementation of a Parallel Multivariate Ensemble Kal
- Record Grading
- New
- Sleeve Grading
- New
- Platform
- NA
- Size
- NA
- Film/TV Title
- Design and Implementation of a Parallel Multivariate Ensemble Ka
- Colour
- NA
- Material
- NA
- Department
- NA
- Number of Pages
- 52
- Binding Type
- Perfect
- Item Length
- 246.13
- Main Stone
- NA
- Connectivity
- NA
- Model
- NA
- ISBN
- 9781289272913
- Publication Year
- 2013
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Design and Implementation of a Parallel Multivariate Ensemble Kalman Filter for the Poseidon Ocean General Circulation Model
- Item Height
- 246mm
- Publisher
- Bibliogov
- Item Width
- 189mm
- Subject
- Government
- Item Weight
- 109g
About this product
Product Information
A multivariate ensemble Kalman filter (MvEnKF) implemented on a massively parallel computer architecture has been implemented for the Poseidon ocean circulation model and tested with a Pacific Basin model configuration. There are about two million prognostic state-vector variables. Parallelism for the data assimilation step is achieved by regionalization of the background-error covariances that are calculated from the phase-space distribution of the ensemble. Each processing element (PE) collects elements of a matrix measurement functional from nearby PEs. To avoid the introduction of spurious long-range covariances associated with finite ensemble sizes, the background-error covariances are given compact support by means of a Hadamard (element by element) product with a three-dimensional canonical correlation function. The methodology and the MvEnKF configuration are discussed. It is shown that the regionalization of the background covariances; has a negligible impact on the quality of the analyses. The parallel algorithm is very efficient for large numbers of observations but does not scale well beyond 100 PEs at the current model resolution. On a platform with distributed memory, memory rather than speed is the limiting factor.
Product Identifiers
Publisher
Bibliogov
ISBN-13
9781289272913
eBay Product ID (ePID)
200084518
Product Key Features
Publication Name
Design and Implementation of a Parallel Multivariate Ensemble Kalman Filter for the Poseidon Ocean General Circulation Model
Format
Paperback
Language
English
Subject
Government
Publication Year
2013
Type
Textbook
Dimensions
Item Height
246mm
Item Width
189mm
Item Weight
109g
Additional Product Features
Country/Region of Manufacture
United States
Item description from the seller
Business seller information
iHaveit UK Ltd
Michael V
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