HighResMIP Choices
In this project, we will use data from high-resolution models that participate in HighResMIP. From the HighResMIP website:
“HighResMIP is a multi-model investigation of the impact of horizontal resolution on climate models. It involves atmosphere-only and coupled runs for 1950-2050, with some additional experiments and a successor project, HighResMIP2.”
Contents
Model selection criteria
In his paper, Oleg Saenko outlined the selection criteria for that project:
“When selecting the models we applied the following criteria: (a) ocean nominal resolution must be 0.25\(^\circ\) or higher; (b) model output must be available from the hist‐1950 and highres‐future simulations for all variables required in our analysis; (c) the selected models must be able to reproduce the observed trend in Arctic sea ice area within no more than two standard errors, as documented in Table 3 of Selivanova et al. (2024). The models satisfying these criteria are dominated by the HadGEM3‐GC3.1 family of models with different ocean and/or atmosphere resolution (Table S1 in Supporting Information S1).” [1] (on page 2)
The selected models are summarized in the supplementary information.
“Table S1. Climate models from HighResMIP analyzed in this study. Also indicated are the corresponding Arctic Ocean and (nominal) atmosphere resolutions (both in km).
Model
Modelling center
Arctic Ocean
Atmos.
Reference
EC-Earth3P-HR
EC-Earth Consortium,
Europe12.6
50
Haarsma et al. 2016[2]
HadGEM3-GC3.1-HH
HadGEM3-GC3.1-HM
HadGEM3-GC3.1-MMMet Office Hadley Centre,
United Kingdom4.2
12.6
12.650
50
100Roberts et al. 2019[3]
“ [1] (on page 19 / X-9)
Laliberté et al. 2018[4] defines landfast ice in model output using a combination of sea ice thickness sithick, concentration siconc, and velocities siu and siv.
Cook et al. 2024[5] notes that multi-year sea ice flow through the Northwest Passage is a hazard to shipping.
Therefore, siage will be a variable of interest.
I will evaluate the HighResMIP models using criteria similar to Saenko et al. 2025[1]:
Does the model have both historical and future simulation output available?
Historical:
hist-1950Required.
Future:
highres-futureNot strictly required, depending on whether we make projections or solely compare to observations.
Does the model have the necessary variables output?
Priority variables:
siconc,siage,siu,sivShould
sithickbe a priority variable?
Probably won’t need
sivolis we are focusing on area fluxes.Likely won’t need
tasunless we want to evaluate correlations between temperature and sea ice variables, following Saenko et al. 2025[1].
Does the model have a high enough resolution?
We will evaluate the resolution in the CAA region in particular.
Ocean resolution of 0.25\(^\circ\) or higher
Should there be an atmosphere resolution requirement as well?
Does the model reproduce the observed trend in Arctic sea ice area within no more than two standard errors?
See Selivanova et al. 2024[6] Table 3 for observed trend and standard error.
Does the model resolve the Canadian Arctic Archipelago (CAA) well?
Initial evaluation done by inspecting maps of how land is represented in the CAA
How can I quantitatively evaluate this?
What specific channels would be necessary to resolve for this project?
Table of HighResMIP models
The following table is adapted from Haarsma et al. 2016[2].
Model name |
Contact institute |
Atmosphere resolution (STD/HI) |
Ocean resolution |
Including in this project |
Historical and Future |
Priority variables available |
|---|---|---|---|---|---|---|
Alfred Wegener Institute |
T127 (\(∼100\) km) |
1–\(\frac{1}{4}^\circ\) |
No, lacks |
|
|
|
Beijing Climate Center |
T106 (\(∼ 110\) km) |
\(\frac{1}{3}\)–1\(^\circ\) |
No, lacks |
|
|
|
INPE |
T126 (\(∼ 100\) km) |
0.25\(^\circ\) |
No, not available through ESGF data portal |
N/A |
N/A |
|
Lawrence Berkeley National Laboratory |
100 km |
CESM1-CAM5-ES-LR: No, does not resolve any islands in CAA |
|
|
||
NCAR |
100 km |
No, not available through ESGF data portal |
N/A |
N/A |
||
Chinese Academy of Meteorological |
No, lacks |
Neither |
None, but has |
|||
Centro Euro-Mediterraneo sui |
100 km |
0.25\(^\circ\) |
No, lacks most priority variables |
|
|
|
CERFACS |
T127 (\(∼ 100\) km) |
1\(^\circ\) |
In consideration pending evaluation of CAA resolution |
|
|
|
SMHI, KNMI, BSC, CNR, and 23 other |
T255 (\(∼ 80\) km) |
1\(^\circ\) |
EC-Earth3P-HR: Yes |
|
|
|
ECMWF |
No, lacks |
|
|
|||
LASG, IAP, CAS |
100 km |
0.1–0.25\(^\circ\) |
No, lacks all sea ice variables |
|
None |
|
GFDL |
200 km |
No, lacks |
|
|
||
Met Office Hadley Centre |
60 km |
0.25\(^\circ\) |
HadGEM3-GC3.1-HH: Yes |
HH, HM, LL, MM: |
HH, HM, LL, MH, MM: |
|
AS-RCEC |
No, lacks all sea ice variables |
|
None |
|||
Institute of Numerical Mathematics |
– |
0.25 \(\times\) 0.5\(\circ\) |
No, lacks most priority variables |
|
|
|
IPSL |
0.25\(^\circ\) |
No, lacks all sea ice variables |
Neither |
None |
||
Pacific Northwest National Laboratory |
– |
0.25\(^\circ\) |
No, lacks all sea ice variables |
Neither |
None |
|
AORI, Univ. of Tokyo/JAMSTEC/National |
– |
0.25\(^\circ\) |
No, not available through ESGF data portal |
N/A |
N/A |
|
JAMSTEC/AORI/ The Univ. of |
56–28 km |
No, lacks most priority variables |
Neither |
|
||
Max Planck Institute for Meteorology |
T127 (\(∼ 100\) km) |
0.4\(^\circ\) |
No, lacks |
|
|
|
Meteorological Research Institute |
TL159 (\(∼ 120\) km) |
No, lacks most priority variables |
Neither |
|
||
Norwegian Climate Service Centre |
2\(^\circ\) |
0.25\(^\circ\) |
No, not available through ESGF data portal |
N/A |
N/A |
Models
Evaluation of each HighResMIP model is presented below with the following information:
Citation of the model
Institution
Simulations available (historical and future)
Relevant variables available
Resolution information
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Evaluation of how well the model resolves the CAA
Plot of
areacello,volcello, orsftlfin the CAA in Panoply using these settings:Map Projection
Projection: Azimuthal Equal-Area
Centered on:
Lon: -90\(^\circ\)E
Lat: 77\(^\circ\)N
Edge Angle: 11.0\(^\circ\)
Fill corners: Yes
Grid Lines Spacing:
15\(^\circ\) E-W
15\(^\circ\) N-S
Map Overlay
Overlay 1:
Earth.cnoColor: Red
Weight: 75
Style: Long Dashes
Overlay 2:
MWDB_Coasts_1.cnobColor: Black
Weight: 50
Style: Solid
AWI-CM
AWI-CM-1-1-HR
Citation of the model
Semmler, Tido; Danilov, Sergey; Rackow, Thomas; Sidorenko, Dmitry; Hegewald, Jan; Sein, Dmitri; Wang, Qiang; Jung, Thomas (2017). AWI AWI-CM 1.1 HR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.1202
Institution
Alfred Wegener Institute (AWI), Germany
Simulations available (
experiment_id’s)hist-1950control-1950spinup-1950
Relevant variables available
realm=seaIcesithicksiusivsitimefracfsithermsiconcsifllatstopsiareansiareassidmassevapsublsidmasssisidmassthsiextentnsiextentssisnconcsisnmasssisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsivolsivolnsivols
tasnot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
The
areacellovariable in the file for AWI-CM-1-1-HR is 1-dimensional and does not appear to map to ocean grid cells. I am unsure whether this is expected, or whether this is an issue with the data file I downloaded.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary.
AWI-CM-1-1-LR
Citation of the model
Semmler, Tido; Danilov, Sergey; Rackow, Thomas; Sidorenko, Dmitry; Hegewald, Jan; Sein, Dmitri; Wang, Qiang; Jung, Thomas (2017). AWI AWI-CM 1.1 LR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.1209
Institution
Alfred Wegener Institute (AWI), Germany
Simulations available (
experiment_id’s)hist-1950control-1950spinup-1950
Relevant variables available
realm=seaIcesitimefracsithicksiusivsivolnsivolsfsithermsiareansiareassiconcsidmassevapsublsidmasssisidmassthsiextentnsiextentssifllatstopsisnconcsisnmasssisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsivol
tasnot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
The
areacellovariable in the file for AWI-CM-1-1-LR is 1-dimensional and does not appear to map to ocean grid cells. I am unsure whether this is expected, or whether this is an issue with the data file I downloaded.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary.
BCC-CSM2
BCC-CSM2-HR
Citation of the model
Wu, T., Yu, R., Lu, Y., Jie, W., Fang, Y., Zhang, J., Zhang, L., Xin, X., Li, L., Wang, Z., Liu, Y., Zhang, F., Wu, F., Chu, M., Li, J., Li, W., Zhang, Y., Shi, X., Zhou, W., Yao, J., Liu, X., Zhao, H., Yan, J., Wei, M., Xue, W., Huang, A., Zhang, Y., Zhang, Y., Shu, Q., and Hu, A.: BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model, Geosci. Model Dev., 14, 2977–3006, doi:10.5194/gmd-14-2977-2021, 2021.
Institution
Beijing Climate Center (BCC), China
Simulations available (
experiment_id’s)hist-1950control-1950highresSST-present
Relevant variables available
realm=seaIcesiconcsiusivsimasssisnthicksitemptopsivolsiitdconcsithick
tasnot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
areacelloin Panoply, I don’t see any land mask (which would be in gray), so it appears that the model does not resolve the CAA at all.Additionally, there is a gray line along approximately the 100\(^\circ\)E line of longitude. This line appears to be an artifact, however it is unclear to me whether this would be an artifact in the model data or an artifact of plotting it in Panoply.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary.

BESM
I do not see this model as available through the ESGF data portal. Here’s a citation I found for something related: Veiga, S. F., Nobre, P., Giarolla, E., Capistrano, V., Baptista Jr., M., Marquez, A. L., Figueroa, S. N., Bonatti, J. P., Kubota, P., and Nobre, C. A.: The Brazilian Earth System Model ocean–atmosphere (BESM-OA) version 2.5: evaluation of its CMIP5 historical simulation, Geosci. Model Dev., 12, 1613–1642, doi:10.5194/gmd-12-1613-2019, 2019.
Decision
This model is not available through the ESGF data portal, so I will exclude it from the project.
CAM5
CESM1-CAM5-SE-HR
Citation of the model
Hurrel, James; Holland, Marika; Gent, Peter; Ghan, Steven; Kay, Jennifer; Kushner, Paul; Lamarque, Jean-Francois; Large, William G.; Lawrence, David; Lindsay, Keith; Lipscomb, William; Long, Matthew; Mahowald, Natalie M.; Marsh, Daniel; Neale, Richard; Rasch, Philip J.; Vavrus, Stephen J.; Vertenstein, Mariana; Bader, David C.; Collins, William D.; Hack, James J.; Kiehl, Jeff; Marshall, Shawn (2020). NCAR CESM1-CAM5-SE-HR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.14220
Institution
National Center for Atmospheric Research (NCAR), United States
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950
Relevant variables available
realm=seaIcesfdsisiagesiareansiareassicompstrensiconcsidconcdynsidconcthsidivvelsidmasstranxsidmasstranysiextentnsiextentssifllatstopsifllwdtopsifllwutopsiflsenstopsiflsensupbotsiflswdbotsiflswdtopsiflswutopsiforcecoriolxsiforcecoriolysiforceintstrxsiforceintstrysimasssisaltmasssishevelsisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsitemptopsithicksitimefracsiusivsivolsivolnsivolssiconca
tas
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
areacelloin Panoply, the model’s land mask (in grey) does not appear to resolve the CAA well. The land mask is missing many islands of the CAA and the coastlines are very blocky and poorly resolved. The Parry Channel is clear, however lacks all the islands along the northern side.Additionally, there is a gray line along approximately the 110\(^\circ\)E line of longitude. This line appears to be an artifact, however it is unclear to me whether this would be an artifact in the model data or an artifact of plotting it in Panoply.
Decision
In consideration for inclusion in the project. This model has the necessary variables, but does not resolve the CAA very well.

CESM1-CAM5-SE-LR
Citation of the model
Hurrel, James; Holland, Marika; Gent, Peter; Ghan, Steven; Kay, Jennifer; Kushner, Paul; Lamarque, Jean-Francois; Large, William G.; Lawrence, David; Lindsay, Keith; Lipscomb, William; Long, Matthew; Mahowald, Natalie M.; Marsh, Daniel; Neale, Richard; Rasch, Philip J.; Vavrus, Stephen J.; Vertenstein, Mariana; Bader, David C.; Collins, William D.; Hack, James J.; Kiehl, Jeff; Marshall, Shawn (2020). NCAR CESM1-CAM5-SE-LR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.14262
Institution
National Center for Atmospheric Research (NCAR), United States
Simulations available (
experiment_id’s)highres-futurecontrol-1950
Relevant variables available
realm=seaIcesfdsisiagesiareansiareassicompstrensiconcsidconcdynsidconcthsidivvelsidmasstranxsidmasstranysiextentnsiextentssifllatstopsifllwdtopsifllwutopsiflsenstopsiflsensupbotsiflswdbotsiflswdtopsiflswutopsiforcecoriolxsiforcecoriolysiforceintstrxsiforceintstrysimasssimassacrosslinesisaltmasssishevelsisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsitemptopsithicksitimefracsiusivsivolsivolnsivolssiconca
tas
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
areacelloin Panoply, the model’s land mask (in grey) is very low resolution with only a “pole hole” in Greenland.
Decision
Excluded from analysis due to not resolving any islands of the CAA.

CAM6
I do not see this model as available through the ESGF data portal. Seems like this might not have been completed yet? The webpage I found for it is out of date: https://ncar.github.io/CAM_SciDoc/doc/build/html/cam6_scientific_summary/index.html#references
Decision
This model is not available through the ESGF data portal, so I will exclude it from the project.
CAMS
CAMS-CSM1-0
Citation of the model
Rong, Xinyao (2019). CAMS CAMS-CSM1.0 model output prepared for CMIP6 ScenarioMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.11004
Institution
Chinese Academy of Meteorological Sciences (CAMS), China
Simulations available (
experiment_id’s)highresSST-present
Relevant variables available
realm=seaIcesiconca
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siconc,siu,siv,siage).
CMCC
CMCC-CM2-HR4
Citation of the model
Scoccimarro, Enrico; Bellucci, Alessio; Peano, Daniele (2017). CMCC CMCC-CM2-HR4 model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.1359
Institution
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Italy
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsimasssisnmasssitimefracsivol
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siu,siv,siage).
CMCC-CM2-VHR4
Citation of the model
Scoccimarro, Enrico; Bellucci, Alessio; Peano, Daniele (2017). CMCC CMCC-CM2-VHR4 model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.1367
Institution
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Italy
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsimasssisnmasssitimefracsivol
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siu,siv,siage).
CNRM
CNRM-CM6-1
Citation of the model
Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., et al. (2019). Evaluation of CMIP6 DECK experiments with CNRM-CM6-1. Journal of Advances in Modeling Earth Systems, 11, 2177–2213. doi:10.1029/2019MS001683
Institution
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), France
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950spinup-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcasiconcsithicksiusivsidconcdynsimasssitemptopsidmasslatsiextentnsiextentssisnconcsisnthicksispeedsitempsnicsivolsivolnsivolssiareaacrosslinesiareansiareassidconcthsidmassgrowthbotsidmassmeltbotsidmassmelttopsidmasstranxsidmasstranysifbsifllatstopsifllwutopsiflsensupbotsiflswdtopsiflswutopsimassacrosslinesndmassmeltsndmasssisndmasssnfsfdsisiagesicompstrensidmassthsihcsidmassdynsisaltmasssisnhcsisnmasssistrxdtopsitimefracsidivvelsidmassevapsublsidmassgrowthwatsidmasssisiflcondbotsiflcondtopsiflfwbotsiflfwdrainsiflswdbotsiprsishevelsistrxubotsistrydtopsistryubotsitempbotsndmassdynsndmasssublsnmassacrossline
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
This model does not appear to have
areacelloor any fixed-frequency variables available. Therefore, I have not made a map of the CAA in Panoply for this model.
Decision
In consideration for inclusion in the project. This model has the necessary variables, but I am unsure about how well it resolves the CAA as it does not have
areacelloor any fixed-frequency variables available.
CNRM-CM6-1-HR
Citation of the model
Voldoire, Aurore (2019). CNRM-CERFACS CNRM-CM6-1-HR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.1387
Institution
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), France
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsithicksiusivsfdsisitempsnicsivolnsiconcasiextentnsiextentssimasssisnconcsisnthicksispeedsitemptopsivolsivolssidmassdynsidmassthsihcsisaltmasssisnhcsisnmasssitimefrac
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
This model does not appear to have
areacelloor any fixed-frequency variables available. Therefore, I have not made a map of the CAA in Panoply for this model.
Decision
In consideration for inclusion in the project. This model has the necessary variables, but I am unsure about how well it resolves the CAA as it does not have
areacelloor any fixed-frequency variables available.
EC-Earth
EC-Earth3P
Citation of the model
Haarsma, R., Acosta, M., Bakhshi, R., Bretonnière, P.-A., Caron, L.-P., Castrillo, M., Corti, S., Davini, P., Exarchou, E., Fabiano, F., Fladrich, U., Fuentes Franco, R., García-Serrano, J., von Hardenberg, J., Koenigk, T., Levine, X., Meccia, V. L., van Noije, T., van den Oord, G., Palmeiro, F. M., Rodrigo, M., Ruprich-Robert, Y., Le Sager, P., Tourigny, E., Wang, S., van Weele, M., and Wyser, K.: HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation, Geosci. Model Dev., 13, 3507–3527, doi:10.5194/gmd-13-3507-2020, 2020.
Institution
EC-Earth Consortium, Europe
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950spinup-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsithicksiusivsitemptopsisnthicksispeedsiagesicompstrensidmassevapsublsiflswdtopsistrxdtopsistrydtopsivolsisalisidivvel
tas
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
volcelloin Panoply, the model’s land mask (in grey) does an okay job of resolving the CAA. The land mask captures the majority of the islands of the CAA, however in many circumstances, groups of individual islands have been grouped together. The Parry Channel is mostly clear, however may be too narrow on the eastern end and lacks several straits along the northern side.
Decision
In consideration for inclusion in the project. This model has the necessary variables, but does not resolve the CAA as well as others. Further investigation needed to determine whether the resolution is high enough.

EC-Earth3P-HR
Citation of the model
EC-Earth Consortium (EC-Earth) (2018). EC-Earth-Consortium EC-Earth3P-HR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.2323
Haarsma, R., Acosta, M., Bakhshi, R., Bretonnière, P.-A., Caron, L.-P., Castrillo, M., Corti, S., Davini, P., Exarchou, E., Fabiano, F., Fladrich, U., Fuentes Franco, R., García-Serrano, J., von Hardenberg, J., Koenigk, T., Levine, X., Meccia, V. L., van Noije, T., van den Oord, G., Palmeiro, F. M., Rodrigo, M., Ruprich-Robert, Y., Le Sager, P., Tourigny, E., Wang, S., van Weele, M., and Wyser, K.: HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation, Geosci. Model Dev., 13, 3507–3527, doi:10.5194/gmd-13-3507-2020, 2020.
Institution
EC-Earth Consortium, Europe
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsithicksiusivsitemptopsisnthicksispeedsiagesicompstrensidmassevapsublsiflswdtopsistrxdtopsistrydtopsivolsisali
tas
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
areacelloin Panoply, the model’s land mask (in grey) appears to resolve the CAA well. The land mask matches well both theEarth.cno(red dashed line) andMWDB_Coasts_1.cnob(black solid line) overlays, which represent the coastlines of the CAA. In particular, the Parry Channel seems to be well-resolved.
Decision
Included in analysis.

ECMWF-IFS
ECMWF-IFS-HR
Citation of the model
Roberts, Christopher David; Senan, Retish; Molteni, Franco; Boussetta, Souhail; Keeley, Sarah (2017). ECMWF ECMWF-IFS-HR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.2461
Institution
European Centre for Medium-Range Weather Forecasts (ECMWF), Europe
Simulations available (
experiment_id’s)hist-1950control-1950highresSST-presentspinup-1950
Relevant variables available
realm=seaIcesiconcsisnthicksitemptopsithicksiusivsistrxdtopsistrydtopsivol
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
sftlfin Panoply, the model’s representation of where land is does an okay job of resolving the CAA. The land matches both theEarth.cno(red dashed line) andMWDB_Coasts_1.cnob(black solid line) overlays fairly well for the larger and medium sized islands. The Parry Channel has a point towards the eastern end which seems to have a high percentage of land crossing the channel.In the plot below of
sftlfin Panoply, the model’s representation of where land is appears to resolve the CAA well. The land matches well both theEarth.cno(red dashed line) andMWDB_Coasts_1.cnob(black solid line) overlays, which represent the coastlines of the CAA. In particular, the Parry Channel seems to be fairly well-resolved.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary.

ECMWF-IFS-LR
Citation of the model
Roberts, Christopher David; Senan, Retish; Molteni, Franco; Boussetta, Souhail; Keeley, Sarah (2017). ECMWF ECMWF-IFS-LR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.2463
Institution
European Centre for Medium-Range Weather Forecasts (ECMWF), Europe
Simulations available (
experiment_id’s)hist-1950control-1950highresSST-presentspinup-1950
Relevant variables available
realm=seaIcesiconcsisnthicksitemptopsithicksiusivsistrxdtopsistrydtopsivol
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
sftlfin Panoply, the model’s representation of where land is does an okay job of resolving the CAA. The land matches both theEarth.cno(red dashed line) andMWDB_Coasts_1.cnob(black solid line) overlays fairly well for the larger and medium sized islands. The Parry Channel has a point towards the eastern end which seems to have a high percentage of land crossing the channel.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary. It may also have issues with resolving the Parry Channel.

ECMWF-IFS-MR
Citation of the model
Roberts, Christopher David; Senan, Retish; Molteni, Franco; Boussetta, Souhail; Keeley, Sarah (2017). ECMWF ECMWF-IFS-LR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.2463
Institution
European Centre for Medium-Range Weather Forecasts (ECMWF), Europe
Simulations available (
experiment_id’s)hist-1950control-1950spinup-1950
Relevant variables available
realm=seaIcesiconcsisnthicksitemptopsithicksiusivsistrxdtopsistrydtopsivol
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
This model does not appear to have
areacello,sftlf, or any fixed-frequency variables available. Therefore, I have not made a map of the CAA in Panoply for this model.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary.
FGOALS
FGOALS-f3-H
Citation of the model
BAO, Q., LIU, Y., WU, G., HE, B., LI, J., WANG, L., … ZHANG, X. (2020). CAS FGOALS-f3-H and CAS FGOALS-f3-L outputs for the high-resolution model intercomparison project simulation of CMIP6. Atmospheric and Oceanic Science Letters, 13(6), 576–581. doi:10.1080/16742834.2020.1814675
Institution
Chinese Academy of Sciences (CAS), China
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIceNone
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siconc,siu,siv,siage).
FGOALS-f3-L
Citation of the model
BAO, Q., LIU, Y., WU, G., HE, B., LI, J., WANG, L., … ZHANG, X. (2020). CAS FGOALS-f3-H and CAS FGOALS-f3-L outputs for the high-resolution model intercomparison project simulation of CMIP6. Atmospheric and Oceanic Science Letters, 13(6), 576–581. doi:10.1080/16742834.2020.1814675
Institution
Chinese Academy of Sciences (CAS), China
Simulations available (
experiment_id’s)highresSST-futurehighresSST-present
Relevant variables available
realm=seaIceNone
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siconc,siu,siv,siage).
GFDL
GFDL-CM4C192
Citation of the model
Zhao, Ming; Blanton, Chris; John, Jasmin G; Radhakrishnan, Aparna; Zadeh, Niki T.; McHugh, Colleen; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Ginoux, Paul; Malyshev, Sergey; Wyman, Bruce; Guo, Huan; Balaji, V; Held, Isaac M; Dunne, John P.; Winton, Michael; Adcroft, Alistair; Milly, P.C.D; Shevliakova, Elena; Knutson, Thomas; Ploshay, Jeffrey; Zeng, Yujin (2018). NOAA-GFDL GFDL-CM4C192 model output prepared for CMIP6 HighResMIP highresSST-future. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.8563
Institution
National Oceanic and Atmospheric Administration (NOAA), Geophysical Fluid Dynamics Laboratory (GFDL), United States
Simulations available (
experiment_id’s)hist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsimasssisnconcsisnmasssisnthicksispeedsitemptopsithicksitimefracsivolsiusiv
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
This model does not appear to have
areacelloor any fixed-frequency variables available. Therefore, I have not made a map of the CAA in Panoply for this model.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary.
HadGEM3-GC3
HadGEM3-GC3.1-HH
Citation of the model
Roberts, Malcolm (2018). MOHC HadGEM3-GC31-HH model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.445
Institution
Met Office Hadley Centre, United Kingdom
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950
Relevant variables available
realm=seaIcesithicksiusivsiagesiconcsidivvelsidmassdynsidmassmeltbotsidmassmelttopsidmassthsiflcondbotsiflcondtopsiflfwbotsiflfwdrainsifllatstopsiflsensupbotsihcsimasssiprsisnconcsisnhcsisnmasssisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsitempbotsitimefracsivol
tas
Resolution information
“atmos: MetUM-HadGEM3-GA7.1 (N512; 1024 x 768 longitude/latitude; 85 levels; top level 85 km)”
“ocean: NEMO-HadGEM3-GO6.0 (eORCA12 tripolar primarily 1/12 deg; 4320 x 3604 longitude/latitude; 75 levels; top grid cell 0-1 m)”
“seaIce: CICE-HadGEM3-GSI8 (eORCA12 tripolar primarily 1/12 deg; 4320 x 3604 longitude/latitude)”
This is the irregular grid used for
siage,siconc,sithick,siu, andsiv.Dimensions: (
j: 3604,i: 4320)
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
areacelloin Panoply, the model’s land mask (in grey) appears to resolve the CAA well. The land mask matches well both theEarth.cno(red dashed line) andMWDB_Coasts_1.cnob(black solid line) overlays, which represent the coastlines of the CAA. In particular, the Parry Channel seems to be well-resolved.I suspect this might indeed be the same
areacelloas was used for EC-Earth3P-HR. The only difference I can see is a gray line along approximately the 107\(^\circ\)E line of longitude. This line appears to be an artifact, however it is unclear to me whether this would be an artifact in the model data or an artifact of plotting it in Panoply.
Decision
Included in analysis.

HadGEM3-GC3.1-HM
Citation of the model
Roberts, Malcolm (2017). MOHC HadGEM3-GC31-HM model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.446
Institution
Met Office Hadley Centre, United Kingdom
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesithicksiusivsiagesiconcsidivvelsidmassdynsidmassmeltbotsidmassmelttopsidmassthsiflcondbotsiflcondtopsiflfwbotsiflfwdrainsifllatstopsifllwdtopsifllwutopsiflsenstopsiflsensupbotsiflswdtopsiflswutopsihcsimasssiprsisnconcsisnhcsisnmasssisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsitempbotsitemptopsitimefracsivol
tas
Resolution information
“atmos: MetUM-HadGEM3-GA7.1 (N512; 1024 x 768 longitude/latitude; 85 levels; top level 85 km)”
This is the regular grid used for the
siconcdatafiles.Dimensions: (
lat: 768,lon: 1024)
“ocean: NEMO-HadGEM3-GO6.0 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude; 75 levels; top grid cell 0-1 m)”
“seaIce: CICE-HadGEM3-GSI8 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude)”
This is the irregular grid used for
siage,sithick,siu, andsiv.Dimensions: (
j: 1205,i: 1440)
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
The
areacelloplot for HadGEM3-GC3.1-HM seems to be identical to theareacelloplot for HadGEM3-GC3.1-HH, and therefore I won’t reproduce it here.
Decision
Included in analysis.
HadGEM3-GC3.1-LL
Citation of the model
Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till; Andrews, Martin; Andrews, Tim (2019). MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP historical. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.6109
Institution
Met Office Hadley Centre, United Kingdom
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950spinup-1950
Relevant variables available
realm=seaIcesithicksiusivsiagesiconcsidivvelsidmassdynsidmassmeltbotsidmassmelttopsidmassthsiflcondbotsiflcondtopsiflfwbotsiflfwdrainsifllatstopsifllwdtopsifllwutopsiflsenstopsiflsensupbotsiflswdtopsiflswutopsihcsimasssiprsisnconcsisnhcsisnmasssisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsitempbotsitemptopsitimefracsivol
tas
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
areacelloin Panoply, the model’s land mask (in grey) does an okay job of resolving the CAA. The land mask captures the majority of the islands of the CAA, however in many circumstances, groups of individual islands have been grouped together. The Parry Channel is mostly clear, however may be too narrow on the eastern end and lacks several straits along the northern side.I suspect this might indeed be the same
areacelloas was used for EC-Earth3P. The only difference I can see is a gray line along approximately the 107\(^\circ\)E line of longitude. This line appears to be an artifact, however it is unclear to me whether this would be an artifact in the model data or an artifact of plotting it in Panoply.
Decision
In consideration for inclusion in the project. This model has the necessary variables, but does not resolve the CAA as well as others. Further investigation needed to determine whether the resolution is high enough.

HadGEM3-GC3.1-LM
Citation of the model
None found
Institution
Met Office Hadley Centre, United Kingdom
Simulations available (
experiment_id’s)highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsithick
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siu,siv,siage).
HadGEM3-GC3.1-MH
Citation of the model
None found
Institution
Met Office Hadley Centre, United Kingdom
Simulations available (
experiment_id’s)hist-1950spinup-1950
Relevant variables available
realm=seaIcesithicksiusivsiagesiconcsidivvelsidmassdynsidmassmeltbotsidmassmelttopsidmassthsiflcondbotsiflcondtopsiflfwbotsiflfwdrainsifllatstopsiflsensupbotsihcsimasssiprsisnconcsisnhcsisnmasssisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsitempbotsitimefracsivol
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis as no sea ice variables are available in the
hist-1950experiment.
HadGEM3-GC3.1-MM
Citation of the model
Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till; Andrews, Martin; Andrews, Tim (2019). MOHC HadGEM3-GC31-MM model output prepared for CMIP6 CMIP historical. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.6112
Institution
Met Office Hadley Centre, United Kingdom
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-presentspinup-1950
Relevant variables available
realm=seaIcesithicksiusivsiagesiconcsidivvelsidmassdynsidmassmeltbotsidmassmelttopsidmassthsiflcondbotsiflcondtopsiflfwbotsiflfwdrainsifllatstopsifllwdtopsifllwutopsiflsenstopsiflsensupbotsiflswdtopsiflswutopsihcsimasssiprsisnconcsisnhcsisnmasssisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsitempbotsitemptopsitimefracsivol
tas
Resolution information
“atmos: MetUM-HadGEM3-GA7.1 (N216; 432 x 324 longitude/latitude; 85 levels; top level 85 km)”
This is the regular grid used for the
siconcdatafiles.Dimensions: (
lat: 324,lon: 432)
“ocean: NEMO-HadGEM3-GO6.0 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude; 75 levels; top grid cell 0-1 m)”
“seaIce: CICE-HadGEM3-GSI8 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude)”
This is the irregular grid used for
siage,sithick,siu, andsiv.Dimensions: (
j: 1205,i: 1440)
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
The
areacelloplot for HadGEM3-GC3.1-MM seems to be identical to theareacelloplot for HadGEM3-GC3.1-HH, and therefore I won’t reproduce it here.
Decision
Included in analysis.
HiRAM-SIT
HiRAM-SIT-HR
Citation of the model
Tu, Chia-Ying (2020). AS-RCEC HiRAM-SIT-HR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.13301
Institution
Academia Sinica, Research Center for Environmental Changes (AS-RCEC), Taiwan
Simulations available (
experiment_id’s)highres-futurehist-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIceNone
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of any sea ice variables.
HiRAM-SIT-LR
Citation of the model
Tu, Chia-Ying (2020). AS-RCEC HiRAM-SIT-LR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.13303
Institution
Academia Sinica, Research Center for Environmental Changes (AS-RCEC), Taiwan
Simulations available (
experiment_id’s)highres-futurehist-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIceNone
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of any sea ice variables.
INM-CM
INM-CM5-H
Citation of the model
Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana (2019). INM INM-CM5-0 model output prepared for CMIP6 ScenarioMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.12322
Institution
Institute of Numerical Mathematics, Russian Academy of Sciences, Russia
Simulations available (
experiment_id’s)hist-1950control-1950highresSST-present
Relevant variables available
realm=seaIcesiconcsimass
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siu,siv,siage).
IPSL-CM6A
This evaluation applies to all of the following models:
IPSL-CM6A-ATM-ICO-LR
IPSL-CM6A-ATM-ICO-MR
IPSL-CM6A-ATM-ICO-HR
IPSL-CM6A-ATM-ICO-VHR
IPSL-CM6A-LR
IPSL-CM6A-ATM-HR
Citation of one of the models (IPSL-CM6A-LR)
Boucher, Olivier; Denvil, Sébastien; Levavasseur, Guillaume; Cozic, Anne; Caubel, Arnaud; Foujols, Marie-Alice; Meurdesoif, Yann; Cadule, Patricia; Devilliers, Marion; Ghattas, Josefine; Lebas, Nicolas; Lurton, Thibaut; Mellul, Lidia; Musat, Ionela; Mignot, Juliette; Cheruy, Frédérique (2018). IPSL IPSL-CM6A-LR model output prepared for CMIP6 CMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.1534
Institution
Institut Pierre-Simon Laplace (IPSL), France
Simulations available (
experiment_id’s)highresSST-present
Relevant variables available
realm=seaIceNone
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siconc,siu,siv,siage).
MPAS-CAM
CAM-MPAS-HR
Citation of the model
Pacific Northwest National Laboratory (PNNL) (2025). PNNL-WACCEM CAM-MPAS-HR model output prepared for CMIP6 HighResMIP highresSST-future. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.14090
Institution
Pacific Northwest National Laboratory (PNNL), USA
Simulations available (
experiment_id’s)highresSST-futurehighresSST-present
Relevant variables available
realm=seaIceNone
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siconc,siu,siv,siage).
CAM-MPAS-LR
Citation of the model
Pacific Northwest National Laboratory (PNNL) (2025). PNNL-WACCEM CAM-MPAS-LR model output prepared for CMIP6 HighResMIP highresSST-future. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.14767
Institution
Pacific Northwest National Laboratory (PNNL), USA
Simulations available (
experiment_id’s)highresSST-futurehighresSST-present
Relevant variables available
realm=seaIceNone
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siconc,siu,siv,siage).
MIROC6-CGCM
I do not see this model as available through the ESGF data portal. Here’s a citation I found for something related: Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki (2019). MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.898
Decision
This model is not available through the ESGF data portal, so I will exclude it from analysis.
NICAM
NICAM16
This evaluation applies to all of the following models:
NICAM16-7SNICAM16-9SNICAM16-8S
Citation of one of the models (NICAM16-9S)
Kodama, Chihiro; Ohno, Tomoki; Seiki, Tatsuya; Yashiro, Hisashi; Noda, Akira T.; Nakano, Masuo; Yamada, Yohei; Roh, Woosub; Satoh, Masaki; Nitta, Tomoko; Goto, Daisuke; Miura, Hiroaki; Nasuno, Tomoe; Miyakawa, Tomoki; Chen, Ying-Wen; Sugi, Masato (2019). MIROC NICAM16-9S model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.1036
Institution
Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Japan
Simulations available (
experiment_id’s)highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsiconcasimasssisnmass
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
Not evaluated
Decision
Excluded from analysis due to lack of necessary variables (e.g.
siu,siv,siage).
MPI-ESM
MPI-ESM1-2-HR
Citation of the model
von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich (2017). MPI-M MPIESM1.2-HR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.762
Institution
Max Planck Institute for Meteorology (MPI-M), Germany
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsithicksiusivsiareansiareassidconcdynsidconcthsidmassdynsidmassthsidmasstranxsidmasstranysiextentnsiextentssifbsiflcondbotsiflcondtopsiflfwbotsihcsimasssimassacrosslinesisaltmasssisnconcsisnhcsispeedsistrxdtopsistrxubotsistrydtopsistryubotsitimefracsivolsivolnsivolssndmassdynsndmasssnfsisnmasssisnthick
tasareacellonot available, howevervolcellois available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
volcelloin Panoply, the model’s land mask (in grey) does an okay job of resolving the CAA. The land mask captures almost all of the islands of the CAA, however in many circumstances, groups of individual islands have been grouped together. The Parry Channel is clear, however lacks several straits along the northern side.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary.

MPI-ESM1-2-XR
Citation of the model
von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich (2017). MPI-M MPI-ESM1.2-XR model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.10290
Institution
Max Planck Institute for Meteorology (MPI-M), Germany
Simulations available (
experiment_id’s)highres-futurehist-1950control-1950highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconcsithicksiusivsiareansiareassidconcdynsidconcthsidmassdynsidmassthsidmasstranxsidmasstranysiextentnsiextentssifbsiflcondbotsiflcondtopsiflfwbotsihcsimasssimassacrosslinesisaltmasssisnconcsisnhcsisnmasssisnthicksispeedsistrxdtopsistrxubotsistrydtopsistryubotsitimefracsivolsivolnsivolssndmassdynsndmasssnf
tasareacellonot available, howevervolcellois available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
The
volcelloplot for MPI-ESM1-2-XR seems to be identical to the areacello plot for MPI-ESM1-2-HR, and therefore I won’t reproduce it here.
Decision
This model lacks the
siagevariable. For now, I will exclude this model from the project, but I may revisit this decision ifsiageturns out to not be necessary.
MRI-AGCM3
MRI-AGCM3-2-H
Citation of the model
Mizuta, Ryo; Yoshimura, Hiromasa; Ose, Tomoaki; Hosaka, Masahiro; Yukimoto, Seiji (2019). MRI MRI-AGCM3-2-H model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.10942
Institution
Meteorological Research Institute (MRI), Japan
Simulations available (
experiment_id’s)highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconc
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
volcelloin Panoply, the model’s land mask (in grey) does an okay job of resolving the CAA. The land mask captures almost all of the islands of the CAA, however in many circumstances, groups of individual islands have been grouped together. The Parry Channel is clear, however lacks several straits along the northern side.
Decision
This model lacks the
hist-1950experiment as well as the variablessiu,siv, andsiage. Therefore, I will exclude this model from the project.
MRI-AGCM3-2-S
Citation of the model
Mizuta, Ryo; Yoshimura, Hiromasa; Ose, Tomoaki; Hosaka, Masahiro; Yukimoto, Seiji (2019). MRI MRI-AGCM3-2-S model output prepared for CMIP6 HighResMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.1625
Institution
Meteorological Research Institute (MRI), Japan
Simulations available (
experiment_id’s)highresSST-futurehighresSST-present
Relevant variables available
realm=seaIcesiconc
tasareacellonot available
Resolution information
Not evaluated
Evaluation of how well the model reproduces the observed trend in Arctic sea ice area
Not evaluated
Evaluation of how well the model resolves the CAA
In the plot below of
volcelloin Panoply, the model’s land mask (in grey) does an okay job of resolving the CAA. The land mask captures almost all of the islands of the CAA, however in many circumstances, groups of individual islands have been grouped together. The Parry Channel is clear, however lacks several straits along the northern side.
Decision
This model lacks the
hist-1950experiment as well as the variablessiu,siv, andsiage. Therefore, I will exclude this model from the project.
NorESM
I do not see this model as available through the ESGF data portal. Here’s a citation I found for something related: Bentsen, Mats; Oliviè, Dirk Jan Leo; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael (2019). NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP. Version YYYYMMDD.Earth System Grid Federation. doi:10.22033/ESGF/CMIP6.608
Decision
This model is not available through the ESGF data portal, so I will exclude it from the project.