Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results

This dataset contains the UM experiments described and used in the paper 'Missing orographic drag leads to climate model biases in jet streams and storm tracks'. State-of-the art climate models generally struggle to represent important features of the large-scale circulation. Common model...

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Main Author: Pithan, Felix
Format: Text
Language:English
Published: University of Reading 2016
Subjects:
Online Access:https://researchdata.reading.ac.uk/49/
https://researchdata.reading.ac.uk/49/1/xlgta_mslp_all_daily.nc
https://researchdata.reading.ac.uk/49/6/xlgtj_mslp_all_daily.nc
https://researchdata.reading.ac.uk/49/7/xlgta_z500all_daily.nc
https://researchdata.reading.ac.uk/49/9/xlgtj_z500all_daily.nc
https://researchdata.reading.ac.uk/49/14/xlgta_u850all_6h.nc
https://researchdata.reading.ac.uk/49/5/xlgtj_u850all_6h.nc
https://researchdata.reading.ac.uk/49/3/xlgta_v850all_6h.nc
https://researchdata.reading.ac.uk/49/8/xlgtj_v850all_6h.nc
https://researchdata.reading.ac.uk/49/2/xlgta_u_mean.nc
https://researchdata.reading.ac.uk/49/4/xlgtj_u_mean.nc
https://researchdata.reading.ac.uk/49/12/readme.txt
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spelling ftunivreadingrda:oai:researchdata.reading.ac.uk:49 2023-06-11T04:14:32+02:00 Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results Pithan, Felix 2016 other text https://researchdata.reading.ac.uk/49/ https://researchdata.reading.ac.uk/49/1/xlgta_mslp_all_daily.nc https://researchdata.reading.ac.uk/49/6/xlgtj_mslp_all_daily.nc https://researchdata.reading.ac.uk/49/7/xlgta_z500all_daily.nc https://researchdata.reading.ac.uk/49/9/xlgtj_z500all_daily.nc https://researchdata.reading.ac.uk/49/14/xlgta_u850all_6h.nc https://researchdata.reading.ac.uk/49/5/xlgtj_u850all_6h.nc https://researchdata.reading.ac.uk/49/3/xlgta_v850all_6h.nc https://researchdata.reading.ac.uk/49/8/xlgtj_v850all_6h.nc https://researchdata.reading.ac.uk/49/2/xlgta_u_mean.nc https://researchdata.reading.ac.uk/49/4/xlgtj_u_mean.nc https://researchdata.reading.ac.uk/49/12/readme.txt en eng University of Reading https://researchdata.reading.ac.uk/49/1/xlgta_mslp_all_daily.nc https://researchdata.reading.ac.uk/49/6/xlgtj_mslp_all_daily.nc https://researchdata.reading.ac.uk/49/7/xlgta_z500all_daily.nc https://researchdata.reading.ac.uk/49/9/xlgtj_z500all_daily.nc https://researchdata.reading.ac.uk/49/14/xlgta_u850all_6h.nc https://researchdata.reading.ac.uk/49/5/xlgtj_u850all_6h.nc https://researchdata.reading.ac.uk/49/3/xlgta_v850all_6h.nc https://researchdata.reading.ac.uk/49/8/xlgtj_v850all_6h.nc https://researchdata.reading.ac.uk/49/2/xlgta_u_mean.nc https://researchdata.reading.ac.uk/49/4/xlgtj_u_mean.nc https://researchdata.reading.ac.uk/49/12/readme.txt Pithan, Felix <https://researchdata.reading.ac.uk/view/creators/Pithan=3AFelix=3A=3A.html> (2016): Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results. University of Reading. Dataset. https://doi.org/10.17864/1947.49 <https://doi.org/10.17864/1947.49> cc_by_4 Dataset NonPeerReviewed 2016 ftunivreadingrda https://doi.org/10.17864/1947.49 2023-05-04T22:48:02Z This dataset contains the UM experiments described and used in the paper 'Missing orographic drag leads to climate model biases in jet streams and storm tracks'. State-of-the art climate models generally struggle to represent important features of the large-scale circulation. Common model deficiencies include an equatorward bias in the location of the mid-latitude westerlies and an overly zonal orientation of the North Atlantic storm track. Orography is known to strongly affect the atmospheric circulation and is notoriously difficult to represent in coarse-resolution climate models. How the representation of orography affects circulation biases in current climate models is not understood. Here, we show that the effects of switching off the parameterisation of drag from low-level orographic blocking in one climate model resemble the biases of the CMIP5 ensemble: An equatorward shift in the Southern Hemispheric jet, an overly zonal wintertime North Atlantic storm track, and an increase in the Southern Annular Mode timescale. This suggests that the representation of the extratropical circulation in coarse-resolution climate models can be improved considerably by improving the parameterisation of low-level drag. In the file listing, 'UM std' refers to a 30-year AMIP-II run of the UM at N96 resolution with standard parameters. 'UM noblock' refers to an experiment in which the low-level drag scheme is effectively switched off by setting a tuning parameter to zero, all else being equal to 'UM std'. Text North Atlantic University of Reading Research Data Archive
institution Open Polar
collection University of Reading Research Data Archive
op_collection_id ftunivreadingrda
language English
description This dataset contains the UM experiments described and used in the paper 'Missing orographic drag leads to climate model biases in jet streams and storm tracks'. State-of-the art climate models generally struggle to represent important features of the large-scale circulation. Common model deficiencies include an equatorward bias in the location of the mid-latitude westerlies and an overly zonal orientation of the North Atlantic storm track. Orography is known to strongly affect the atmospheric circulation and is notoriously difficult to represent in coarse-resolution climate models. How the representation of orography affects circulation biases in current climate models is not understood. Here, we show that the effects of switching off the parameterisation of drag from low-level orographic blocking in one climate model resemble the biases of the CMIP5 ensemble: An equatorward shift in the Southern Hemispheric jet, an overly zonal wintertime North Atlantic storm track, and an increase in the Southern Annular Mode timescale. This suggests that the representation of the extratropical circulation in coarse-resolution climate models can be improved considerably by improving the parameterisation of low-level drag. In the file listing, 'UM std' refers to a 30-year AMIP-II run of the UM at N96 resolution with standard parameters. 'UM noblock' refers to an experiment in which the low-level drag scheme is effectively switched off by setting a tuning parameter to zero, all else being equal to 'UM std'.
format Text
author Pithan, Felix
spellingShingle Pithan, Felix
Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results
author_facet Pithan, Felix
author_sort Pithan, Felix
title Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results
title_short Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results
title_full Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results
title_fullStr Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results
title_full_unstemmed Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results
title_sort missing orographic drag leads to climate model biases in jet streams and storm tracks - met office unified model (um) results
publisher University of Reading
publishDate 2016
url https://researchdata.reading.ac.uk/49/
https://researchdata.reading.ac.uk/49/1/xlgta_mslp_all_daily.nc
https://researchdata.reading.ac.uk/49/6/xlgtj_mslp_all_daily.nc
https://researchdata.reading.ac.uk/49/7/xlgta_z500all_daily.nc
https://researchdata.reading.ac.uk/49/9/xlgtj_z500all_daily.nc
https://researchdata.reading.ac.uk/49/14/xlgta_u850all_6h.nc
https://researchdata.reading.ac.uk/49/5/xlgtj_u850all_6h.nc
https://researchdata.reading.ac.uk/49/3/xlgta_v850all_6h.nc
https://researchdata.reading.ac.uk/49/8/xlgtj_v850all_6h.nc
https://researchdata.reading.ac.uk/49/2/xlgta_u_mean.nc
https://researchdata.reading.ac.uk/49/4/xlgtj_u_mean.nc
https://researchdata.reading.ac.uk/49/12/readme.txt
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https://researchdata.reading.ac.uk/49/12/readme.txt
Pithan, Felix <https://researchdata.reading.ac.uk/view/creators/Pithan=3AFelix=3A=3A.html> (2016): Missing orographic drag leads to climate model biases in jet streams and storm tracks - Met Office Unified Model (UM) results. University of Reading. Dataset. https://doi.org/10.17864/1947.49 <https://doi.org/10.17864/1947.49>
op_rights cc_by_4
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