Changes
On June 5, 2021 at 8:13:23 AM UTC, Administrator:
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Updated description of resource Data Access via S3 in CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum from
High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm. The data is published under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.
toHigh resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm. The data is published under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.
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Changed value of field
resource_size
of resource Data Access via S3 to{"size_units": "tb", "size_value": "5"}
(previously{"size_units": "kb", "size_value": ""}
) in CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum
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5 | \"supervision\"], \"email\": \"dirk.karger@wsl.ch\", \"given_name\": | 5 | \"supervision\"], \"email\": \"dirk.karger@wsl.ch\", \"given_name\": | ||
6 | \"Dirk Nikolaus\", \"identifier\": \"0000-0001-7770-6229\", \"name\": | 6 | \"Dirk Nikolaus\", \"identifier\": \"0000-0001-7770-6229\", \"name\": | ||
7 | \"Karger\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 7 | \"Karger\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
8 | \"affiliation_03\": \"\", \"data_credit\": \"validation\", \"email\": | 8 | \"affiliation_03\": \"\", \"data_credit\": \"validation\", \"email\": | ||
9 | \"michael.nobis@wsl.ch\", \"given_name\": \"Michael P.\", | 9 | \"michael.nobis@wsl.ch\", \"given_name\": \"Michael P.\", | ||
10 | \"identifier\": \"0000-0003-3285-1590\", \"name\": \"Nobis\"}, | 10 | \"identifier\": \"0000-0003-3285-1590\", \"name\": \"Nobis\"}, | ||
11 | {\"affiliation\": \"Aarhus University\", \"affiliation_02\": \"\", | 11 | {\"affiliation\": \"Aarhus University\", \"affiliation_02\": \"\", | ||
12 | \"affiliation_03\": \"\", \"data_credit\": \"supervision\", \"email\": | 12 | \"affiliation_03\": \"\", \"data_credit\": \"supervision\", \"email\": | ||
13 | \"signe.normand@bios.au.dk\", \"given_name\": \"Signe\", | 13 | \"signe.normand@bios.au.dk\", \"given_name\": \"Signe\", | ||
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15 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 15 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
16 | \"affiliation_03\": \"\", \"data_credit\": \"supervision\", \"email\": | 16 | \"affiliation_03\": \"\", \"data_credit\": \"supervision\", \"email\": | ||
17 | \"catherine.graham@wsl.ch\", \"given_name\": \"Catherine H.\", | 17 | \"catherine.graham@wsl.ch\", \"given_name\": \"Catherine H.\", | ||
18 | \"identifier\": \"0000-0001-9267-7948\", \"name\": \"Graham\"}, | 18 | \"identifier\": \"0000-0001-9267-7948\", \"name\": \"Graham\"}, | ||
19 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 19 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
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22 | \"signe.normand@bio.au.dk\", \"given_name\": \"Niklaus E.\", | 22 | \"signe.normand@bio.au.dk\", \"given_name\": \"Niklaus E.\", | ||
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26 | "date": "[{\"date\": \"2020-06-22\", \"date_type\": \"created\", | 26 | "date": "[{\"date\": \"2020-06-22\", \"date_type\": \"created\", | ||
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28 | "doi": "10.16904/envidat.211", | 28 | "doi": "10.16904/envidat.211", | ||
29 | "funding": "[{\"grant_number\": \"exChelsa\", \"institution\": | 29 | "funding": "[{\"grant_number\": \"exChelsa\", \"institution\": | ||
30 | \"WSL\", \"institution_url\": \"http://www.wsl.ch\"}]", | 30 | \"WSL\", \"institution_url\": \"http://www.wsl.ch\"}]", | ||
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35 | "license_id": "cc-by-sa", | 35 | "license_id": "cc-by-sa", | ||
36 | "license_title": "Creative Commons Attribution Share-Alike | 36 | "license_title": "Creative Commons Attribution Share-Alike | ||
37 | (CC-BY-SA)", | 37 | (CC-BY-SA)", | ||
38 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | 38 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | ||
39 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 39 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
40 | \"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", | 40 | \"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", | ||
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n | 44 | "metadata_modified": "2021-04-20T16:36:33.248720", | n | 44 | "metadata_modified": "2021-06-05T08:13:23.664676", |
45 | "name": "chelsa_trace", | 45 | "name": "chelsa_trace", | ||
46 | "notes": "High resolution, downscaled climate model data are used in | 46 | "notes": "High resolution, downscaled climate model data are used in | ||
47 | a wide variety of applications in environmental sciences. Here we | 47 | a wide variety of applications in environmental sciences. Here we | ||
48 | present the CHELSA-TraCE21k downscaling algorithm to create global | 48 | present the CHELSA-TraCE21k downscaling algorithm to create global | ||
49 | monthly climatologies for temperature and precipitation at 30 arcsec | 49 | monthly climatologies for temperature and precipitation at 30 arcsec | ||
50 | spatial resolution in 100 year time steps for the last 21,000 years. | 50 | spatial resolution in 100 year time steps for the last 21,000 years. | ||
51 | Paleo orography at high spatial resolution and at each timestep is | 51 | Paleo orography at high spatial resolution and at each timestep is | ||
52 | created by combining high resolution information on glacial cover from | 52 | created by combining high resolution information on glacial cover from | ||
53 | current and Last Glacial Maximum (LGM) glacier databases with the | 53 | current and Last Glacial Maximum (LGM) glacier databases with the | ||
54 | interpolation of a dynamic ice sheet model (ICE6G) and a coupling to | 54 | interpolation of a dynamic ice sheet model (ICE6G) and a coupling to | ||
55 | mean annual temperatures from CCSM3-TraCE21k. Based on the | 55 | mean annual temperatures from CCSM3-TraCE21k. Based on the | ||
56 | reconstructed paleo orography, mean annual temperature and | 56 | reconstructed paleo orography, mean annual temperature and | ||
57 | precipitation was downscaled using the CHELSA V1.2 algorithm. | 57 | precipitation was downscaled using the CHELSA V1.2 algorithm. | ||
58 | \r\n\r\nThe data is published under a Creative Commons Attribution 2.0 | 58 | \r\n\r\nThe data is published under a Creative Commons Attribution 2.0 | ||
59 | Generic (CC BY 2.0) license.", | 59 | Generic (CC BY 2.0) license.", | ||
60 | "num_resources": 2, | 60 | "num_resources": 2, | ||
61 | "num_tags": 6, | 61 | "num_tags": 6, | ||
62 | "organization": { | 62 | "organization": { | ||
63 | "approval_status": "approved", | 63 | "approval_status": "approved", | ||
64 | "created": "2018-05-31T14:24:18.890912", | 64 | "created": "2018-05-31T14:24:18.890912", | ||
65 | "description": "The dynamic macroecology group studies different | 65 | "description": "The dynamic macroecology group studies different | ||
66 | aspects of ecology on large spatial and temporal scales, from the | 66 | aspects of ecology on large spatial and temporal scales, from the | ||
67 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | 67 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | ||
68 | species and their traits change in space and time, particularly with | 68 | species and their traits change in space and time, particularly with | ||
69 | global change?\u201d", | 69 | global change?\u201d", | ||
70 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 70 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
71 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | 71 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | ||
72 | "is_organization": true, | 72 | "is_organization": true, | ||
73 | "name": "dynamic-macroecology", | 73 | "name": "dynamic-macroecology", | ||
74 | "state": "active", | 74 | "state": "active", | ||
75 | "title": "Dynamic Macroecology", | 75 | "title": "Dynamic Macroecology", | ||
76 | "type": "organization" | 76 | "type": "organization" | ||
77 | }, | 77 | }, | ||
78 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 78 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
79 | "private": false, | 79 | "private": false, | ||
80 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | 80 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | ||
81 | \"EnviDat\"}", | 81 | \"EnviDat\"}", | ||
82 | "publication_state": "published", | 82 | "publication_state": "published", | ||
83 | "related_datasets": "Dirk Nikolaus Karger; Olaf Conrad; J\u00fcrgen | 83 | "related_datasets": "Dirk Nikolaus Karger; Olaf Conrad; J\u00fcrgen | ||
84 | B\u00f6hner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; | 84 | B\u00f6hner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; | ||
85 | Niklaus E. Zimmermann; H. Peter Linder; Michael Kessler (2017). | 85 | Niklaus E. Zimmermann; H. Peter Linder; Michael Kessler (2017). | ||
86 | Climatologies at high resolution for the earth\u2019s land surface | 86 | Climatologies at high resolution for the earth\u2019s land surface | ||
87 | areas. Dryad Digital Repository. doi: 10.5061/dryad.kd1d4. | 87 | areas. Dryad Digital Repository. doi: 10.5061/dryad.kd1d4. | ||
88 | \r\n\r\nDirk Nikolaus Karger; Niklaus E. Zimmermann (2018). | 88 | \r\n\r\nDirk Nikolaus Karger; Niklaus E. Zimmermann (2018). | ||
89 | CHELSAcruts - High resolution temperature and precipitation timeseries | 89 | CHELSAcruts - High resolution temperature and precipitation timeseries | ||
90 | for the 20th century and beyond. EnviDat. doi: 10.16904/envidat.159. | 90 | for the 20th century and beyond. EnviDat. doi: 10.16904/envidat.159. | ||
91 | \r\n\r\nDirk Nikolaus Karger; Dirk Schmatz; Gabriel Dettling; Niklaus | 91 | \r\n\r\nDirk Nikolaus Karger; Dirk Schmatz; Gabriel Dettling; Niklaus | ||
92 | E. Zimmermann (2019). High resolution monthly precipitation and | 92 | E. Zimmermann (2019). High resolution monthly precipitation and | ||
93 | temperature timeseries for the period 2006-2100. EnviDat. doi: | 93 | temperature timeseries for the period 2006-2100. EnviDat. doi: | ||
94 | 10.16904/envidat.124. \r\n\r\nDirk Nikolaus Karger; Babek Dabaghchian; | 94 | 10.16904/envidat.124. \r\n\r\nDirk Nikolaus Karger; Babek Dabaghchian; | ||
95 | Stefan Lange; Wilfried Thuiller; Niklaus E. Zimmermann; Catherine H. | 95 | Stefan Lange; Wilfried Thuiller; Niklaus E. Zimmermann; Catherine H. | ||
96 | Graham (2020). High resolution climate data for Europe. EnviDat. doi: | 96 | Graham (2020). High resolution climate data for Europe. EnviDat. doi: | ||
97 | 10.16904/envidat.150. \r\n\r\n", | 97 | 10.16904/envidat.150. \r\n\r\n", | ||
98 | "related_publications": "Karger, D.N., Conrad, O., B\u00f6hner, J., | 98 | "related_publications": "Karger, D.N., Conrad, O., B\u00f6hner, J., | ||
99 | Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, | 99 | Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, | ||
100 | H.P. & Kessler, M. (2017) Climatologies at high resolution for the | 100 | H.P. & Kessler, M. (2017) Climatologies at high resolution for the | ||
101 | earth\u2019s land surface areas. Scientific Data 4, | 101 | earth\u2019s land surface areas. Scientific Data 4, | ||
102 | 170122.\r\n\r\nKarger, D.N., Schmatz, D., Detttling, D., Zimmermann, | 102 | 170122.\r\n\r\nKarger, D.N., Schmatz, D., Detttling, D., Zimmermann, | ||
103 | N.E. (2020) High resolution monthly precipitation and temperature | 103 | N.E. (2020) High resolution monthly precipitation and temperature | ||
104 | timeseries for the period 2006-2100. Scientific Data.\r\n", | 104 | timeseries for the period 2006-2100. Scientific Data.\r\n", | ||
105 | "relationships_as_object": [], | 105 | "relationships_as_object": [], | ||
106 | "relationships_as_subject": [], | 106 | "relationships_as_subject": [], | ||
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n | 114 | "description": "\r\nHigh resolution, downscaled climate model | n | 114 | "description": "High resolution, downscaled climate model data |
115 | data are used in a wide variety of applications in environmental | 115 | are used in a wide variety of applications in environmental sciences. | ||
116 | sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to | 116 | Here we present the CHELSA-TraCE21k downscaling algorithm to create | ||
117 | create global monthly climatologies for temperature and precipitation | 117 | global monthly climatologies for temperature and precipitation at 30 | ||
118 | at 30 arcsec spatial resolution in 100 year time steps for the last | 118 | arcsec spatial resolution in 100 year time steps for the last 21,000 | ||
119 | 21,000 years. Paleo orography at high spatial resolution and at each | 119 | years. Paleo orography at high spatial resolution and at each timestep | ||
120 | timestep is created by combining high resolution information on | 120 | is created by combining high resolution information on glacial cover | ||
121 | glacial cover from current and Last Glacial Maximum (LGM) glacier | 121 | from current and Last Glacial Maximum (LGM) glacier databases with the | ||
122 | databases with the interpolation of a dynamic ice sheet model (ICE6G) | 122 | interpolation of a dynamic ice sheet model (ICE6G) and a coupling to | ||
123 | and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based | 123 | mean annual temperatures from CCSM3-TraCE21k. Based on the | ||
124 | on the reconstructed paleo orography, mean annual temperature and | 124 | reconstructed paleo orography, mean annual temperature and | ||
125 | precipitation was downscaled using the CHELSA V1.2 | 125 | precipitation was downscaled using the CHELSA V1.2 | ||
126 | algorithm.\r\n\r\nThe data is published under a Creative Commons | 126 | algorithm.\r\n\r\nThe data is published under a Creative Commons | ||
127 | Attribution 2.0 Generic (CC BY 2.0) license.\r\n", | 127 | Attribution 2.0 Generic (CC BY 2.0) license.\r\n", | ||
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205 | }, | 205 | }, | ||
206 | { | 206 | { | ||
207 | "display_name": "OROGRAPHY", | 207 | "display_name": "OROGRAPHY", | ||
208 | "id": "88b46b2c-7352-44ac-9973-523bb8f07ef7", | 208 | "id": "88b46b2c-7352-44ac-9973-523bb8f07ef7", | ||
209 | "name": "OROGRAPHY", | 209 | "name": "OROGRAPHY", | ||
210 | "state": "active", | 210 | "state": "active", | ||
211 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
212 | }, | 212 | }, | ||
213 | { | 213 | { | ||
214 | "display_name": "PALEO CLIMATE", | 214 | "display_name": "PALEO CLIMATE", | ||
215 | "id": "9a3d0b84-4411-480e-b85c-b520a655744e", | 215 | "id": "9a3d0b84-4411-480e-b85c-b520a655744e", | ||
216 | "name": "PALEO CLIMATE", | 216 | "name": "PALEO CLIMATE", | ||
217 | "state": "active", | 217 | "state": "active", | ||
218 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
219 | }, | 219 | }, | ||
220 | { | 220 | { | ||
221 | "display_name": "PRECIPITATION", | 221 | "display_name": "PRECIPITATION", | ||
222 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | 222 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | ||
223 | "name": "PRECIPITATION", | 223 | "name": "PRECIPITATION", | ||
224 | "state": "active", | 224 | "state": "active", | ||
225 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
226 | } | 226 | } | ||
227 | ], | 227 | ], | ||
228 | "title": "CHELSA-TraCE21k: Downscaled transient temperature and | 228 | "title": "CHELSA-TraCE21k: Downscaled transient temperature and | ||
229 | precipitation data since the last glacial maximum", | 229 | precipitation data since the last glacial maximum", | ||
230 | "type": "dataset", | 230 | "type": "dataset", | ||
231 | "url": null, | 231 | "url": null, | ||
232 | "version": "1.0" | 232 | "version": "1.0" | ||
233 | } | 233 | } |