Design And Implementation Of A Parallel Multivariate Ensemble Kalman Filter For The Poseidon Ocean General Circulation Model
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| Author | : National Aeronautics and Space Adm Nasa |
| Publisher | : Independently Published |
| Total Pages | : 50 |
| Release | : 2018-09-21 |
| Genre | : |
| ISBN | : 9781723914041 |
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.Keppenne, Christian L. and Rienecker, Michele M. and Koblinsky, Chester (Technical Monitor)Goddard Space Flight CenterPARALLEL PROCESSING (COMPUTERS); OCEAN MODELS; OCEAN CURRENTS; KALMAN FILTERS; STATE VECTORS; PARALLEL COMPUTERS; MULTIVARIATE STATISTICAL ANALYSIS; ERRORS; COVARIANCE; ARCHITECTURE (COMPUTERS)
| Author | : |
| Publisher | : |
| Total Pages | : 50 |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
| Author | : SEON KI PARK |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 481 |
| Release | : 2009-02-08 |
| Genre | : Science |
| ISBN | : 3540710566 |
Data assimilation (DA) has been recognized as one of the core techniques for modern forecasting in various earth science disciplines including meteorology, oceanography, and hydrology. Since early 1990s DA has been an important s- sion topic in many academic meetings organized by leading societies such as the American Meteorological Society, American Geophysical Union, European G- physical Union, World Meteorological Organization, etc. nd Recently, the 2 Annual Meeting of the Asia Oceania Geosciences Society (AOGS), held in Singapore in June 2005, conducted a session on DA under the - tle of “Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications.” nd This rst DA session in the 2 AOGS was a great success with more than 30 papers presented and many great ideas exchanged among scientists from the three different disciplines. The scientists who participated in the meeting suggested making the DA session a biennial event. th Two years later, at the 4 AOGS Annual Meeting, Bangkok, Thailand, the DA session was of cially named “Sasaki Symposium on Data Assimilation for At- spheric, Oceanic and Hydrologic Applications,” to honor Prof. Yoshi K. Sasaki of the University of Oklahoma for his life-long contributions to DA in geosciences.
| Author | : |
| Publisher | : |
| Total Pages | : 850 |
| Release | : 2002 |
| Genre | : Meteorology |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : 642 |
| Release | : 2005 |
| Genre | : Geophysics |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : 44 |
| Release | : 2003 |
| Genre | : |
| ISBN | : |
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 351 |
| Release | : 2016-08-22 |
| Genre | : Science |
| ISBN | : 0309388805 |
As the nation's economic activities, security concerns, and stewardship of natural resources become increasingly complex and globally interrelated, they become ever more sensitive to adverse impacts from weather, climate, and other natural phenomena. For several decades, forecasts with lead times of a few days for weather and other environmental phenomena have yielded valuable information to improve decision-making across all sectors of society. Developing the capability to forecast environmental conditions and disruptive events several weeks and months in advance could dramatically increase the value and benefit of environmental predictions, saving lives, protecting property, increasing economic vitality, protecting the environment, and informing policy choices. Over the past decade, the ability to forecast weather and climate conditions on subseasonal to seasonal (S2S) timescales, i.e., two to fifty-two weeks in advance, has improved substantially. Although significant progress has been made, much work remains to make S2S predictions skillful enough, as well as optimally tailored and communicated, to enable widespread use. Next Generation Earth System Predictions presents a ten-year U.S. research agenda that increases the nation's S2S research and modeling capability, advances S2S forecasting, and aids in decision making at medium and extended lead times.
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 192 |
| Release | : 2010-10-08 |
| Genre | : Science |
| ISBN | : 030915183X |
More accurate forecasts of climate conditions over time periods of weeks to a few years could help people plan agricultural activities, mitigate drought, and manage energy resources, amongst other activities; however, current forecast systems have limited ability on these time- scales. Models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface. Such processes can be difficult to represent realistically. To improve the quality of forecasts, this book makes recommendations about the development of the tools used in forecasting and about specific research goals for improving understanding of sources of predictability. To improve the accessibility of these forecasts to decision-makers and researchers, this book also suggests best practices to improve how forecasts are made and disseminated.
| Author | : Roger Daley |
| Publisher | : Cambridge University Press |
| Total Pages | : 480 |
| Release | : 1993-11-26 |
| Genre | : Science |
| ISBN | : 9780521458252 |
Intended to fill a void in the atmospheric science literature, this self-contained text outlines the physical and mathematical basis of all aspects of atmospheric analysis as well as topics important in several other fields outside of it, including atmospheric dynamics and statistics.
| Author | : Eugenia Kalnay |
| Publisher | : Cambridge University Press |
| Total Pages | : 368 |
| Release | : 2003 |
| Genre | : Mathematics |
| ISBN | : 9780521796293 |
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
