Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model
The nonlocal excess phase observation operator for assimilating the global positioning system (GPS) radio occultation (RO) sounding data has been proven by some research papers to produce significantly better analyses for numerical weather prediction (NWP) compared to the local refractivity observat...
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ftncar:oai:drupal-site.org:articles_14287 2023-09-05T13:15:20+02:00 Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model Zhang, Xin (author) Kuo, Ying (author) Chen, Shu-Ya (author) Huang, Xiang-Yu (author) Hsiao, Ling-Feng (author) 2014-09-01 application/pdf http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-948 https://doi.org/10.1175/JTECH-D-13-00195.1 en eng American Meteorological Society Journal of Atmospheric and Oceanic Technology http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-948 doi:10.1175/JTECH-D-13-00195.1 ark:/85065/d71n8236 Copyright 2014 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Law (17 USC, as revised by P.L. 94-553) does not require the Society's permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statements, requires written permission or license from the AMS. Additional details are provided in the AMS Copyright Policies, available from the AMS at 617-227-2425 or amspubs@ametsoc.org. Permission to place a copy of this work on this server has been provided by the AMS. The AMS does not guarantee that the copy provided here is an accurate copy of the published work. Text article 2014 ftncar https://doi.org/10.1175/JTECH-D-13-00195.1 2023-08-14T18:41:34Z The nonlocal excess phase observation operator for assimilating the global positioning system (GPS) radio occultation (RO) sounding data has been proven by some research papers to produce significantly better analyses for numerical weather prediction (NWP) compared to the local refractivity observation operator. However, the high computational cost and the difficulties in parallelization associated with the nonlocal GPS RO operator deter its application in research and operational NWP practices. In this article, two strategies are designed and implemented in the data assimilation system for the Weather Research and Forecasting Model to demonstrate the capability of parallel assimilation of GPS RO profiles with the nonlocal excess phase observation operator. In particular, to solve the parallel load imbalance problem due to the uneven geographic distribution of the GPS RO observations, round-robin scheduling is adopted to distribute GPS RO observations among the processing cores to balance the workload. The wall clock time required to complete a five-iteration minimization on a demonstration Antarctic case with 106 GPS RO observations is reduced from more than 3.5 h with a single processing core to 2.5 min with 106 processing cores. These strategies present the possibility of application of the nonlocal GPS RO excess phase observation operator in operational data assimilation systems with a cutoff time limit. AGS-1033112 Article in Journal/Newspaper Antarc* Antarctic OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Antarctic Journal of Atmospheric and Oceanic Technology 31 9 2008 2014 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
The nonlocal excess phase observation operator for assimilating the global positioning system (GPS) radio occultation (RO) sounding data has been proven by some research papers to produce significantly better analyses for numerical weather prediction (NWP) compared to the local refractivity observation operator. However, the high computational cost and the difficulties in parallelization associated with the nonlocal GPS RO operator deter its application in research and operational NWP practices. In this article, two strategies are designed and implemented in the data assimilation system for the Weather Research and Forecasting Model to demonstrate the capability of parallel assimilation of GPS RO profiles with the nonlocal excess phase observation operator. In particular, to solve the parallel load imbalance problem due to the uneven geographic distribution of the GPS RO observations, round-robin scheduling is adopted to distribute GPS RO observations among the processing cores to balance the workload. The wall clock time required to complete a five-iteration minimization on a demonstration Antarctic case with 106 GPS RO observations is reduced from more than 3.5 h with a single processing core to 2.5 min with 106 processing cores. These strategies present the possibility of application of the nonlocal GPS RO excess phase observation operator in operational data assimilation systems with a cutoff time limit. AGS-1033112 |
author2 |
Zhang, Xin (author) Kuo, Ying (author) Chen, Shu-Ya (author) Huang, Xiang-Yu (author) Hsiao, Ling-Feng (author) |
format |
Article in Journal/Newspaper |
title |
Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model |
spellingShingle |
Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model |
title_short |
Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model |
title_full |
Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model |
title_fullStr |
Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model |
title_full_unstemmed |
Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model |
title_sort |
parallelization strategies for the gps radio occultation data assimilation with a nonlocal operator in the weather research and forecasting model |
publisher |
American Meteorological Society |
publishDate |
2014 |
url |
http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-948 https://doi.org/10.1175/JTECH-D-13-00195.1 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
Journal of Atmospheric and Oceanic Technology http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-020-948 doi:10.1175/JTECH-D-13-00195.1 ark:/85065/d71n8236 |
op_rights |
Copyright 2014 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Law (17 USC, as revised by P.L. 94-553) does not require the Society's permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statements, requires written permission or license from the AMS. Additional details are provided in the AMS Copyright Policies, available from the AMS at 617-227-2425 or amspubs@ametsoc.org. Permission to place a copy of this work on this server has been provided by the AMS. The AMS does not guarantee that the copy provided here is an accurate copy of the published work. |
op_doi |
https://doi.org/10.1175/JTECH-D-13-00195.1 |
container_title |
Journal of Atmospheric and Oceanic Technology |
container_volume |
31 |
container_issue |
9 |
container_start_page |
2008 |
op_container_end_page |
2014 |
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1776197129781379072 |