Assimilation and High Resolution Forecasts of Surface and Near Surface Conditions for the 2010 Vancouver Winter Olympic and Paralympic Games
Abstract A dynamical model was experimentally implemented to provide high resolution forecasts at points of interests in the 2010 Vancouver Olympics and Paralympics Region. In a first experiment, GEM-Surf, the near surface and land surface modeling system, is driven by operational atmospheric foreca...
Ausführliche Beschreibung
Autor*in: |
Bernier, Natacha B. [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Schlagwörter: |
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Anmerkung: |
© The Author(s) 2012 |
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Übergeordnetes Werk: |
Enthalten in: Pure and applied geophysics - Springer Basel, 1964, 171(2012), 1-2 vom: 15. Aug., Seite 243-256 |
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Übergeordnetes Werk: |
volume:171 ; year:2012 ; number:1-2 ; day:15 ; month:08 ; pages:243-256 |
Links: |
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DOI / URN: |
10.1007/s00024-012-0542-0 |
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Katalog-ID: |
OLC2069497879 |
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10.1007/s00024-012-0542-0 doi (DE-627)OLC2069497879 (DE-He213)s00024-012-0542-0-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Bernier, Natacha B. verfasserin aut Assimilation and High Resolution Forecasts of Surface and Near Surface Conditions for the 2010 Vancouver Winter Olympic and Paralympic Games 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2012 Abstract A dynamical model was experimentally implemented to provide high resolution forecasts at points of interests in the 2010 Vancouver Olympics and Paralympics Region. In a first experiment, GEM-Surf, the near surface and land surface modeling system, is driven by operational atmospheric forecasts and used to refine the surface forecasts according to local surface conditions such as elevation and vegetation type. In this simple form, temperature and snow depth forecasts are improved mainly as a result of the better representation of real elevation. In a second experiment, screen level observations and operational atmospheric forecasts are blended to drive a continuous cycle of near surface and land surface hindcasts. Hindcasts of the previous day conditions are then regarded as today’s optimized initial conditions. Hence, in this experiment, given observations are available, observation driven hindcasts continuously ensure that daily forecasts are issued from improved initial conditions. GEM-Surf forecasts obtained from improved short-range hindcasts produced using these better conditions result in improved snow depth forecasts. In a third experiment, assimilation of snow depth data is applied to further optimize GEM-Surf’s initial conditions, in addition to the use of blended observations and forecasts for forcing. Results show that snow depth and summer temperature forecasts are further improved by the addition of snow depth data assimilation. Point forecast assimilation land surface forecast system Bélair, Stéphane aut Bilodeau, Bernard aut Tong, Linying aut Enthalten in Pure and applied geophysics Springer Basel, 1964 171(2012), 1-2 vom: 15. Aug., Seite 243-256 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:171 year:2012 number:1-2 day:15 month:08 pages:243-256 https://doi.org/10.1007/s00024-012-0542-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 GBV_ILN_4277 AR 171 2012 1-2 15 08 243-256 |
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10.1007/s00024-012-0542-0 doi (DE-627)OLC2069497879 (DE-He213)s00024-012-0542-0-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Bernier, Natacha B. verfasserin aut Assimilation and High Resolution Forecasts of Surface and Near Surface Conditions for the 2010 Vancouver Winter Olympic and Paralympic Games 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2012 Abstract A dynamical model was experimentally implemented to provide high resolution forecasts at points of interests in the 2010 Vancouver Olympics and Paralympics Region. In a first experiment, GEM-Surf, the near surface and land surface modeling system, is driven by operational atmospheric forecasts and used to refine the surface forecasts according to local surface conditions such as elevation and vegetation type. In this simple form, temperature and snow depth forecasts are improved mainly as a result of the better representation of real elevation. In a second experiment, screen level observations and operational atmospheric forecasts are blended to drive a continuous cycle of near surface and land surface hindcasts. Hindcasts of the previous day conditions are then regarded as today’s optimized initial conditions. Hence, in this experiment, given observations are available, observation driven hindcasts continuously ensure that daily forecasts are issued from improved initial conditions. GEM-Surf forecasts obtained from improved short-range hindcasts produced using these better conditions result in improved snow depth forecasts. In a third experiment, assimilation of snow depth data is applied to further optimize GEM-Surf’s initial conditions, in addition to the use of blended observations and forecasts for forcing. Results show that snow depth and summer temperature forecasts are further improved by the addition of snow depth data assimilation. Point forecast assimilation land surface forecast system Bélair, Stéphane aut Bilodeau, Bernard aut Tong, Linying aut Enthalten in Pure and applied geophysics Springer Basel, 1964 171(2012), 1-2 vom: 15. Aug., Seite 243-256 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:171 year:2012 number:1-2 day:15 month:08 pages:243-256 https://doi.org/10.1007/s00024-012-0542-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 GBV_ILN_4277 AR 171 2012 1-2 15 08 243-256 |
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10.1007/s00024-012-0542-0 doi (DE-627)OLC2069497879 (DE-He213)s00024-012-0542-0-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Bernier, Natacha B. verfasserin aut Assimilation and High Resolution Forecasts of Surface and Near Surface Conditions for the 2010 Vancouver Winter Olympic and Paralympic Games 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2012 Abstract A dynamical model was experimentally implemented to provide high resolution forecasts at points of interests in the 2010 Vancouver Olympics and Paralympics Region. In a first experiment, GEM-Surf, the near surface and land surface modeling system, is driven by operational atmospheric forecasts and used to refine the surface forecasts according to local surface conditions such as elevation and vegetation type. In this simple form, temperature and snow depth forecasts are improved mainly as a result of the better representation of real elevation. In a second experiment, screen level observations and operational atmospheric forecasts are blended to drive a continuous cycle of near surface and land surface hindcasts. Hindcasts of the previous day conditions are then regarded as today’s optimized initial conditions. Hence, in this experiment, given observations are available, observation driven hindcasts continuously ensure that daily forecasts are issued from improved initial conditions. GEM-Surf forecasts obtained from improved short-range hindcasts produced using these better conditions result in improved snow depth forecasts. In a third experiment, assimilation of snow depth data is applied to further optimize GEM-Surf’s initial conditions, in addition to the use of blended observations and forecasts for forcing. Results show that snow depth and summer temperature forecasts are further improved by the addition of snow depth data assimilation. Point forecast assimilation land surface forecast system Bélair, Stéphane aut Bilodeau, Bernard aut Tong, Linying aut Enthalten in Pure and applied geophysics Springer Basel, 1964 171(2012), 1-2 vom: 15. Aug., Seite 243-256 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:171 year:2012 number:1-2 day:15 month:08 pages:243-256 https://doi.org/10.1007/s00024-012-0542-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 GBV_ILN_4277 AR 171 2012 1-2 15 08 243-256 |
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Assimilation and High Resolution Forecasts of Surface and Near Surface Conditions for the 2010 Vancouver Winter Olympic and Paralympic Games |
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title_full |
Assimilation and High Resolution Forecasts of Surface and Near Surface Conditions for the 2010 Vancouver Winter Olympic and Paralympic Games |
author_sort |
Bernier, Natacha B. |
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Pure and applied geophysics |
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Pure and applied geophysics |
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eng |
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500 - Science |
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2012 |
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243 |
author_browse |
Bernier, Natacha B. Bélair, Stéphane Bilodeau, Bernard Tong, Linying |
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171 |
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Aufsätze |
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Bernier, Natacha B. |
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10.1007/s00024-012-0542-0 |
dewey-full |
550 |
title_sort |
assimilation and high resolution forecasts of surface and near surface conditions for the 2010 vancouver winter olympic and paralympic games |
title_auth |
Assimilation and High Resolution Forecasts of Surface and Near Surface Conditions for the 2010 Vancouver Winter Olympic and Paralympic Games |
abstract |
Abstract A dynamical model was experimentally implemented to provide high resolution forecasts at points of interests in the 2010 Vancouver Olympics and Paralympics Region. In a first experiment, GEM-Surf, the near surface and land surface modeling system, is driven by operational atmospheric forecasts and used to refine the surface forecasts according to local surface conditions such as elevation and vegetation type. In this simple form, temperature and snow depth forecasts are improved mainly as a result of the better representation of real elevation. In a second experiment, screen level observations and operational atmospheric forecasts are blended to drive a continuous cycle of near surface and land surface hindcasts. Hindcasts of the previous day conditions are then regarded as today’s optimized initial conditions. Hence, in this experiment, given observations are available, observation driven hindcasts continuously ensure that daily forecasts are issued from improved initial conditions. GEM-Surf forecasts obtained from improved short-range hindcasts produced using these better conditions result in improved snow depth forecasts. In a third experiment, assimilation of snow depth data is applied to further optimize GEM-Surf’s initial conditions, in addition to the use of blended observations and forecasts for forcing. Results show that snow depth and summer temperature forecasts are further improved by the addition of snow depth data assimilation. © The Author(s) 2012 |
abstractGer |
Abstract A dynamical model was experimentally implemented to provide high resolution forecasts at points of interests in the 2010 Vancouver Olympics and Paralympics Region. In a first experiment, GEM-Surf, the near surface and land surface modeling system, is driven by operational atmospheric forecasts and used to refine the surface forecasts according to local surface conditions such as elevation and vegetation type. In this simple form, temperature and snow depth forecasts are improved mainly as a result of the better representation of real elevation. In a second experiment, screen level observations and operational atmospheric forecasts are blended to drive a continuous cycle of near surface and land surface hindcasts. Hindcasts of the previous day conditions are then regarded as today’s optimized initial conditions. Hence, in this experiment, given observations are available, observation driven hindcasts continuously ensure that daily forecasts are issued from improved initial conditions. GEM-Surf forecasts obtained from improved short-range hindcasts produced using these better conditions result in improved snow depth forecasts. In a third experiment, assimilation of snow depth data is applied to further optimize GEM-Surf’s initial conditions, in addition to the use of blended observations and forecasts for forcing. Results show that snow depth and summer temperature forecasts are further improved by the addition of snow depth data assimilation. © The Author(s) 2012 |
abstract_unstemmed |
Abstract A dynamical model was experimentally implemented to provide high resolution forecasts at points of interests in the 2010 Vancouver Olympics and Paralympics Region. In a first experiment, GEM-Surf, the near surface and land surface modeling system, is driven by operational atmospheric forecasts and used to refine the surface forecasts according to local surface conditions such as elevation and vegetation type. In this simple form, temperature and snow depth forecasts are improved mainly as a result of the better representation of real elevation. In a second experiment, screen level observations and operational atmospheric forecasts are blended to drive a continuous cycle of near surface and land surface hindcasts. Hindcasts of the previous day conditions are then regarded as today’s optimized initial conditions. Hence, in this experiment, given observations are available, observation driven hindcasts continuously ensure that daily forecasts are issued from improved initial conditions. GEM-Surf forecasts obtained from improved short-range hindcasts produced using these better conditions result in improved snow depth forecasts. In a third experiment, assimilation of snow depth data is applied to further optimize GEM-Surf’s initial conditions, in addition to the use of blended observations and forecasts for forcing. Results show that snow depth and summer temperature forecasts are further improved by the addition of snow depth data assimilation. © The Author(s) 2012 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 GBV_ILN_4277 |
container_issue |
1-2 |
title_short |
Assimilation and High Resolution Forecasts of Surface and Near Surface Conditions for the 2010 Vancouver Winter Olympic and Paralympic Games |
url |
https://doi.org/10.1007/s00024-012-0542-0 |
remote_bool |
false |
author2 |
Bélair, Stéphane Bilodeau, Bernard Tong, Linying |
author2Str |
Bélair, Stéphane Bilodeau, Bernard Tong, Linying |
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doi_str |
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up_date |
2024-07-03T22:25:03.024Z |
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