ASSESSMENT OF PROGRESS AND STATUS OF DATA ASSIMILATION IN NUMERICAL WEATHER PREDICTION
INTERNATIONAL WORKSHOP ON REAL-TIME NWP FORECAST SYSTEM What: Representatives from major operational centers and research institutes, including ECMWF, the Met Office, Météo-France, DWD, KMA, CMA, JMA, ECCC, NOAA/NCEP, NOAA/ESRL, NRL, NASA, and NCAR, gathered to discuss recent developments in real-ti...
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| Published in | Bulletin of the American Meteorological Society Vol. 99; no. 5; pp. ES75 - ES79 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Boston
American Meteorological Society
01.05.2018
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0003-0007 1520-0477 |
| DOI | 10.1175/BAMS-D-17-0266.1 |
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| Abstract | INTERNATIONAL WORKSHOP ON REAL-TIME NWP FORECAST SYSTEM What: Representatives from major operational centers and research institutes, including ECMWF, the Met Office, Météo-France, DWD, KMA, CMA, JMA, ECCC, NOAA/NCEP, NOAA/ESRL, NRL, NASA, and NCAR, gathered to discuss recent developments in real-time numerical weather prediction systems, especially data assimilation. Andrew Collard [National Oceanic and Atmospheric Administration (NOAA)/National Centers for Environmental Prediction (NCEP)] presented recent changes in NCEP’s NWP data assimilation configuration, including the introduction of four-dimensional ensemble-variational DA (4DEnVar). The concept of the German Weather Service [Deutscher Wetterdienst (DWD)]’s NWP model is an integrated system, including a nowcasting ensemble prediction system (EPS), Rapid Update Cycle (RUC) DA, and short-range NWP (Roland Potthast, DWD), where boundary conditions are provided by DWD’s global Icosahedral Nonhydrostatic (ICON)-EPS model based on the hybrid LETKF plus EnVar DA. The data volumes being read and written, archived, and communicated between processors is now very high. [...]efficient and innovative methods for input/out (I/O) are needed, such as parallel and asynchronous I/O, and dedicated I/O servers, alongside efforts to improve the scalability of core systems. |
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| AbstractList | INTERNATIONAL WORKSHOP ON REAL-TIME NWP FORECAST SYSTEM What: Representatives from major operational centers and research institutes, including ECMWF, the Met Office, Météo-France, DWD, KMA, CMA, JMA, ECCC, NOAA/NCEP, NOAA/ESRL, NRL, NASA, and NCAR, gathered to discuss recent developments in real-time numerical weather prediction systems, especially data assimilation. Andrew Collard [National Oceanic and Atmospheric Administration (NOAA)/National Centers for Environmental Prediction (NCEP)] presented recent changes in NCEP’s NWP data assimilation configuration, including the introduction of four-dimensional ensemble-variational DA (4DEnVar). The concept of the German Weather Service [Deutscher Wetterdienst (DWD)]’s NWP model is an integrated system, including a nowcasting ensemble prediction system (EPS), Rapid Update Cycle (RUC) DA, and short-range NWP (Roland Potthast, DWD), where boundary conditions are provided by DWD’s global Icosahedral Nonhydrostatic (ICON)-EPS model based on the hybrid LETKF plus EnVar DA. The data volumes being read and written, archived, and communicated between processors is now very high. [...]efficient and innovative methods for input/out (I/O) are needed, such as parallel and asynchronous I/O, and dedicated I/O servers, alongside efforts to improve the scalability of core systems. |
| Author | Kwon, In-Hyuk Bell, William Collard, Andrew Ruston, Benjamin Potthast, Roland English, Stephen |
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| CitedBy_id | crossref_primary_10_1007_s11276_019_02168_3 crossref_primary_10_1063_5_0227328 crossref_primary_10_1016_j_cma_2024_117026 crossref_primary_10_3390_atmos11070729 crossref_primary_10_1007_s13351_020_9847_6 crossref_primary_10_3390_atmos14030600 crossref_primary_10_5194_wcd_2_561_2021 crossref_primary_10_1007_s13143_018_0028_9 crossref_primary_10_1007_s13143_018_0029_8 crossref_primary_10_1175_MWR_D_19_0374_1 crossref_primary_10_1080_15715124_2023_2270971 crossref_primary_10_3389_fmars_2020_579834 crossref_primary_10_5194_acp_24_8847_2024 crossref_primary_10_3390_rs15215241 crossref_primary_10_1007_s42865_021_00037_6 crossref_primary_10_1002_asl_1138 crossref_primary_10_1515_geo_2022_0460 |
| Cites_doi | 10.1175/MWR2905.1 10.1175/MWR-D-14-00195.1 10.1002/qj.3172 10.3402/tellusa.v68.30229 10.1002/qj.830 10.1002/qj.828 |
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| References_xml | – volume: 133 start-page: 1076 year: 2005 ident: 2020061620240283300_bib1 article-title: A comparison of the ECMWF, MSC, and NCEP global ensemble prediction systems publication-title: Mon. Wea. Rev. doi: 10.1175/MWR2905.1 – volume: 143 start-page: 212 year: 2015 ident: 2020061620240283300_bib6 article-title: Comparison of hybrid-4DEnVar and hybrid-4DVar data assimilation methods for global NWP publication-title: Mon. Wea. Rev. doi: 10.1175/MWR-D-14-00195.1 – volume: 143 start-page: 3189 year: 2017 ident: 2020061620240283300_bib5 article-title: The growing impact of satellite observations sensitive to humidity, cloud and precipitation publication-title: Quart. J. Roy. Meteor. Soc. doi: 10.1002/qj.3172 – volume: 68A start-page: 30229 year: 2016 ident: 2020061620240283300_bib3 article-title: Significance of changes in medium-range forecast scores publication-title: Tellus doi: 10.3402/tellusa.v68.30229 – volume: 137 start-page: 2024 year: 2011 ident: 2020061620240283300_bib4 article-title: Observation errors in all-sky data assimilation publication-title: Quart. J. Roy. Meteor. Soc. doi: 10.1002/qj.830 – volume: 137 start-page: 553 year: 2011 ident: 2020061620240283300_bib2 article-title: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system publication-title: Quart. J. Roy. Meteor. Soc. doi: 10.1002/qj.828 |
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| Title | ASSESSMENT OF PROGRESS AND STATUS OF DATA ASSIMILATION IN NUMERICAL WEATHER PREDICTION |
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