Deliverable No. 2.3 Recommendations on the inclusion of APPLICATE model enhancements in NWP models
This deliverable provides an assessment of the impact of new and/or improved model components developed within APPLICATE WP2 into numerical weather prediction (NWP) systems. Based on these conclusions, it provides recommendations about priorities to pursue for further model developments and componen...
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ftzenodo:oai:zenodo.org:3567802 2024-09-15T18:34:12+00:00 Deliverable No. 2.3 Recommendations on the inclusion of APPLICATE model enhancements in NWP models Salas y Mélia, David Azouz, Niramson Guemas, Virginie Napoli, Adrien Bazil, Eric Sandu, Irina Arduini, Gabriele Fitch, S. 2019-10-31 https://doi.org/10.5281/zenodo.3567802 eng eng Zenodo https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.3567801 https://doi.org/10.5281/zenodo.3567802 oai:zenodo.org:3567802 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/report 2019 ftzenodo https://doi.org/10.5281/zenodo.356780210.5281/zenodo.3567801 2024-07-27T06:19:39Z This deliverable provides an assessment of the impact of new and/or improved model components developed within APPLICATE WP2 into numerical weather prediction (NWP) systems. Based on these conclusions, it provides recommendations about priorities to pursue for further model developments and components to include in the next generation of NWP systems. The APPLICATE developments considered in this deliverable are: the inclusion of dynamical and/or thermodynamic sea ice models. the extension of single-layer snow schemes on land to multi-layer snow schemes. the inclusion of snow schemes on top of sea ice. an improved version of the eddy-diffusivity mass-flux scheme which detects decoupled stratocumulus. Introducing an interactive sea ice model into numerical weather predictions leads to a robust increase in forecast quality for near-surface temperature close to the sea ice edge in the ARPEGE/AROME prediction system. Both bias and standard deviation are substantially reduced. The temperature gradient across the sea ice edge is more realistic. Exploiting both observed sea surface temperatures and sea ice fraction to initialize the model is essential to optimize the benefits from the interactive sea ice model. Similarly, extracting boundary conditions from a global model which also uses an interactive sea ice model improves substantially the performance of the regional prediction system. The dynamic coupling of the ice cover in IFS allows for capturing accurately rapid changes in sea ice concentration, especially along the sea ice edge as illustrated on a case study. A substantial impact is seen in the near surface temperature (up to 6°C) when the large-scale meteorological situation is favourable. At high latitudes, near-surface temperature tends to be overestimated during cold events occurring in clear-sky conditions. Introducing a multi-layer snow scheme over land into the IFS prediction systems leads to a better representation of these cold events at forecast day 2 over the Sodankylä observational supersite. The ... Report Sea ice Sodankylä Zenodo |
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language |
English |
description |
This deliverable provides an assessment of the impact of new and/or improved model components developed within APPLICATE WP2 into numerical weather prediction (NWP) systems. Based on these conclusions, it provides recommendations about priorities to pursue for further model developments and components to include in the next generation of NWP systems. The APPLICATE developments considered in this deliverable are: the inclusion of dynamical and/or thermodynamic sea ice models. the extension of single-layer snow schemes on land to multi-layer snow schemes. the inclusion of snow schemes on top of sea ice. an improved version of the eddy-diffusivity mass-flux scheme which detects decoupled stratocumulus. Introducing an interactive sea ice model into numerical weather predictions leads to a robust increase in forecast quality for near-surface temperature close to the sea ice edge in the ARPEGE/AROME prediction system. Both bias and standard deviation are substantially reduced. The temperature gradient across the sea ice edge is more realistic. Exploiting both observed sea surface temperatures and sea ice fraction to initialize the model is essential to optimize the benefits from the interactive sea ice model. Similarly, extracting boundary conditions from a global model which also uses an interactive sea ice model improves substantially the performance of the regional prediction system. The dynamic coupling of the ice cover in IFS allows for capturing accurately rapid changes in sea ice concentration, especially along the sea ice edge as illustrated on a case study. A substantial impact is seen in the near surface temperature (up to 6°C) when the large-scale meteorological situation is favourable. At high latitudes, near-surface temperature tends to be overestimated during cold events occurring in clear-sky conditions. Introducing a multi-layer snow scheme over land into the IFS prediction systems leads to a better representation of these cold events at forecast day 2 over the Sodankylä observational supersite. The ... |
format |
Report |
author |
Salas y Mélia, David Azouz, Niramson Guemas, Virginie Napoli, Adrien Bazil, Eric Sandu, Irina Arduini, Gabriele Fitch, S. |
spellingShingle |
Salas y Mélia, David Azouz, Niramson Guemas, Virginie Napoli, Adrien Bazil, Eric Sandu, Irina Arduini, Gabriele Fitch, S. Deliverable No. 2.3 Recommendations on the inclusion of APPLICATE model enhancements in NWP models |
author_facet |
Salas y Mélia, David Azouz, Niramson Guemas, Virginie Napoli, Adrien Bazil, Eric Sandu, Irina Arduini, Gabriele Fitch, S. |
author_sort |
Salas y Mélia, David |
title |
Deliverable No. 2.3 Recommendations on the inclusion of APPLICATE model enhancements in NWP models |
title_short |
Deliverable No. 2.3 Recommendations on the inclusion of APPLICATE model enhancements in NWP models |
title_full |
Deliverable No. 2.3 Recommendations on the inclusion of APPLICATE model enhancements in NWP models |
title_fullStr |
Deliverable No. 2.3 Recommendations on the inclusion of APPLICATE model enhancements in NWP models |
title_full_unstemmed |
Deliverable No. 2.3 Recommendations on the inclusion of APPLICATE model enhancements in NWP models |
title_sort |
deliverable no. 2.3 recommendations on the inclusion of applicate model enhancements in nwp models |
publisher |
Zenodo |
publishDate |
2019 |
url |
https://doi.org/10.5281/zenodo.3567802 |
genre |
Sea ice Sodankylä |
genre_facet |
Sea ice Sodankylä |
op_relation |
https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.3567801 https://doi.org/10.5281/zenodo.3567802 oai:zenodo.org:3567802 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.356780210.5281/zenodo.3567801 |
_version_ |
1810475994138542080 |