Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) ...
Addition to Dataset S1 of the version 1.0.0 supporting information for Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) "miocene_veg_2x2.nc" is the original land surface data used to make the Community Land Model (CLM) land surface dataset "surf...
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Online Access: | https://dx.doi.org/10.5281/zenodo.8179390 https://zenodo.org/record/8179390 |
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ftdatacite:10.5281/zenodo.8179390 2023-10-01T03:59:55+02:00 Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) ... Burls, N. J. Bradshaw, C. D. De Boer, A. M. Herold, N. Huber, M. Pound, M. Donnadieu, Y. Farnsworth, A. Frigola, A. Gasson, E. von der Heydt, A. S. Hutchinson, D. K. Knorr, G. Lawrence, K. T. Lear, C. H. Li, X. Lohmann, G. Lunt, D. J. Marzocchi, A. Prange, M. Riihimaki, C. A. Sarr, A.-C. Siler, N. Zhang, Z. 2021 https://dx.doi.org/10.5281/zenodo.8179390 https://zenodo.org/record/8179390 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4568896 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Miocene Paleoclimate Modelling Model Intercomparision article-journal ScholarlyArticle JournalArticle 2021 ftdatacite https://doi.org/10.5281/zenodo.817939010.5281/zenodo.4568896 2023-09-04T14:02:19Z Addition to Dataset S1 of the version 1.0.0 supporting information for Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) "miocene_veg_2x2.nc" is the original land surface data used to make the Community Land Model (CLM) land surface dataset "surfdata_0096x0144_desert_BAM.nc". Land Surface Model (LSM) land cover types in miocene_veg_2x2.nc No Vegetation 0 ocean 1 land ice 2 desert Forest 3 cool needleleaf evergreen tree 4 cool needleleaf deciduous tree 5 cool broadleaf deciduous tree 6 cool mixed forest 7 warm needleleaf evergreen tree 8 warm broadleaf deciduous tree 9 warm mixed forest 10 tropical broadleaf evergreen forest 11 tropical broadleaf deciduous tree Interrupted Woods 12 savanna 13 evergreen forest tundra 14 deciduous forest tundra 15 cool forest crop 16 warm forest crop Non-woods 17 cool grassland 18 warm grassland 19 tundra 20 evergreen shrub land 21 deciduous shrub land 22 semi-desert 23 cool irrigated crop 24 cool crop 25 warm irrigated crop 26 warm crop ... Article in Journal/Newspaper Tundra DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Miocene Paleoclimate Modelling Model Intercomparision |
spellingShingle |
Miocene Paleoclimate Modelling Model Intercomparision Burls, N. J. Bradshaw, C. D. De Boer, A. M. Herold, N. Huber, M. Pound, M. Donnadieu, Y. Farnsworth, A. Frigola, A. Gasson, E. von der Heydt, A. S. Hutchinson, D. K. Knorr, G. Lawrence, K. T. Lear, C. H. Li, X. Lohmann, G. Lunt, D. J. Marzocchi, A. Prange, M. Riihimaki, C. A. Sarr, A.-C. Siler, N. Zhang, Z. Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) ... |
topic_facet |
Miocene Paleoclimate Modelling Model Intercomparision |
description |
Addition to Dataset S1 of the version 1.0.0 supporting information for Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) "miocene_veg_2x2.nc" is the original land surface data used to make the Community Land Model (CLM) land surface dataset "surfdata_0096x0144_desert_BAM.nc". Land Surface Model (LSM) land cover types in miocene_veg_2x2.nc No Vegetation 0 ocean 1 land ice 2 desert Forest 3 cool needleleaf evergreen tree 4 cool needleleaf deciduous tree 5 cool broadleaf deciduous tree 6 cool mixed forest 7 warm needleleaf evergreen tree 8 warm broadleaf deciduous tree 9 warm mixed forest 10 tropical broadleaf evergreen forest 11 tropical broadleaf deciduous tree Interrupted Woods 12 savanna 13 evergreen forest tundra 14 deciduous forest tundra 15 cool forest crop 16 warm forest crop Non-woods 17 cool grassland 18 warm grassland 19 tundra 20 evergreen shrub land 21 deciduous shrub land 22 semi-desert 23 cool irrigated crop 24 cool crop 25 warm irrigated crop 26 warm crop ... |
format |
Article in Journal/Newspaper |
author |
Burls, N. J. Bradshaw, C. D. De Boer, A. M. Herold, N. Huber, M. Pound, M. Donnadieu, Y. Farnsworth, A. Frigola, A. Gasson, E. von der Heydt, A. S. Hutchinson, D. K. Knorr, G. Lawrence, K. T. Lear, C. H. Li, X. Lohmann, G. Lunt, D. J. Marzocchi, A. Prange, M. Riihimaki, C. A. Sarr, A.-C. Siler, N. Zhang, Z. |
author_facet |
Burls, N. J. Bradshaw, C. D. De Boer, A. M. Herold, N. Huber, M. Pound, M. Donnadieu, Y. Farnsworth, A. Frigola, A. Gasson, E. von der Heydt, A. S. Hutchinson, D. K. Knorr, G. Lawrence, K. T. Lear, C. H. Li, X. Lohmann, G. Lunt, D. J. Marzocchi, A. Prange, M. Riihimaki, C. A. Sarr, A.-C. Siler, N. Zhang, Z. |
author_sort |
Burls, N. J. |
title |
Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) ... |
title_short |
Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) ... |
title_full |
Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) ... |
title_fullStr |
Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) ... |
title_full_unstemmed |
Simulating Miocene warmth: insights from an opportunistic Multi-Model ensemble (MioMIP1) ... |
title_sort |
simulating miocene warmth: insights from an opportunistic multi-model ensemble (miomip1) ... |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.8179390 https://zenodo.org/record/8179390 |
genre |
Tundra |
genre_facet |
Tundra |
op_relation |
https://dx.doi.org/10.5281/zenodo.4568896 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.817939010.5281/zenodo.4568896 |
_version_ |
1778534448362422272 |