The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1)
<p>The Modular and Integrated Data Assimilation System (MIDAS) software (version 3.9.1) is described in terms of its range of functionality, modular software design, parallelization strategy, and current uses within real-time operational and experimental systems. MIDAS is developed at Environm...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-01-01
|
| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/18/1/2025/gmd-18-1-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841557577472671744 |
|---|---|
| author | M. Buehner J.-F. Caron E. Lapalme A. Caya P. Du Y. Rochon S. Skachko M. Bani Shahabadi S. Heilliette M. Deshaies-Jacques W. Chang M. Sitwell |
| author_facet | M. Buehner J.-F. Caron E. Lapalme A. Caya P. Du Y. Rochon S. Skachko M. Bani Shahabadi S. Heilliette M. Deshaies-Jacques W. Chang M. Sitwell |
| author_sort | M. Buehner |
| collection | DOAJ |
| description | <p>The Modular and Integrated Data Assimilation System (MIDAS) software (version 3.9.1) is described in terms of its range of functionality, modular software design, parallelization strategy, and current uses within real-time operational and experimental systems. MIDAS is developed at Environment and Climate Change Canada for both operational and research applications, including all atmospheric data assimilation (DA) elements of the Canadian operational numerical weather prediction systems. The described version of MIDAS is part of the Canadian prediction systems that became operational in June 2024. The software is designed to be sufficiently general to enable other DA applications, including atmospheric constituents (e.g. ozone), sea ice, and sea surface temperature. In addition to describing the current MIDAS applications, a sample of the results from these systems is presented to demonstrate their performance in comparison with either systems from before the switch to using MIDAS software or similar systems at other numerical weather prediction (NWP) centres. The modular software design also allows the code that implements high-level components (e.g. observation operators, error covariance matrices, state vectors) to easily be used in many different ways depending on the application, such as for both variational and ensemble DA algorithms, for estimating the observation impact on short-term forecasts, and for performing various observation pre-processing procedures. The use of a single common DA software package for multiple components of the Earth system provides both practical and scientific benefits, including the facilitation of future research on DA approaches that explicitly include the coupled connections between multiple Earth system components. To this end, work is currently underway to allow the use of MIDAS DA algorithms for initializing both deterministic and ensemble three-dimensional ocean model forecasts.</p> |
| format | Article |
| id | doaj-art-ad907286222546619f995e085f89437c |
| institution | Kabale University |
| issn | 1991-959X 1991-9603 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj-art-ad907286222546619f995e085f89437c2025-01-06T11:18:18ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032025-01-011811810.5194/gmd-18-1-2025The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1)M. Buehner0J.-F. Caron1E. Lapalme2A. Caya3P. Du4Y. Rochon5S. Skachko6M. Bani Shahabadi7S. Heilliette8M. Deshaies-Jacques9W. Chang10M. Sitwell11Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaMeteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaMeteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaMeteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaMeteorological Service of Canada, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaAir Quality Research Division, Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, CanadaMeteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaMeteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaMeteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaMeteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaMeteorological Service of Canada, Environment and Climate Change Canada, Dorval, Quebec, H9P 1J3, CanadaAir Quality Research Division, Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada<p>The Modular and Integrated Data Assimilation System (MIDAS) software (version 3.9.1) is described in terms of its range of functionality, modular software design, parallelization strategy, and current uses within real-time operational and experimental systems. MIDAS is developed at Environment and Climate Change Canada for both operational and research applications, including all atmospheric data assimilation (DA) elements of the Canadian operational numerical weather prediction systems. The described version of MIDAS is part of the Canadian prediction systems that became operational in June 2024. The software is designed to be sufficiently general to enable other DA applications, including atmospheric constituents (e.g. ozone), sea ice, and sea surface temperature. In addition to describing the current MIDAS applications, a sample of the results from these systems is presented to demonstrate their performance in comparison with either systems from before the switch to using MIDAS software or similar systems at other numerical weather prediction (NWP) centres. The modular software design also allows the code that implements high-level components (e.g. observation operators, error covariance matrices, state vectors) to easily be used in many different ways depending on the application, such as for both variational and ensemble DA algorithms, for estimating the observation impact on short-term forecasts, and for performing various observation pre-processing procedures. The use of a single common DA software package for multiple components of the Earth system provides both practical and scientific benefits, including the facilitation of future research on DA approaches that explicitly include the coupled connections between multiple Earth system components. To this end, work is currently underway to allow the use of MIDAS DA algorithms for initializing both deterministic and ensemble three-dimensional ocean model forecasts.</p>https://gmd.copernicus.org/articles/18/1/2025/gmd-18-1-2025.pdf |
| spellingShingle | M. Buehner J.-F. Caron E. Lapalme A. Caya P. Du Y. Rochon S. Skachko M. Bani Shahabadi S. Heilliette M. Deshaies-Jacques W. Chang M. Sitwell The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) Geoscientific Model Development |
| title | The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) |
| title_full | The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) |
| title_fullStr | The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) |
| title_full_unstemmed | The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) |
| title_short | The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) |
| title_sort | modular and integrated data assimilation system at environment and climate change canada midas v3 9 1 |
| url | https://gmd.copernicus.org/articles/18/1/2025/gmd-18-1-2025.pdf |
| work_keys_str_mv | AT mbuehner themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT jfcaron themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT elapalme themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT acaya themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT pdu themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT yrochon themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT sskachko themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT mbanishahabadi themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT sheilliette themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT mdeshaiesjacques themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT wchang themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT msitwell themodularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT mbuehner modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT jfcaron modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT elapalme modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT acaya modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT pdu modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT yrochon modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT sskachko modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT mbanishahabadi modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT sheilliette modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT mdeshaiesjacques modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT wchang modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 AT msitwell modularandintegrateddataassimilationsystematenvironmentandclimatechangecanadamidasv391 |