Changes
On June 7, 2023 at 2:59:47 PM UTC, Dirk Nikolaus Karger:
-
Added resource CHELSA-TraCE21k_technical_documentation.pdf to CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum
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36 | "license_title": "Creative Commons Attribution Share-Alike | 36 | "license_title": "Creative Commons Attribution Share-Alike | ||
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n | 44 | "metadata_modified": "2021-11-02T12:55:54.865776", | n | 44 | "metadata_modified": "2023-06-07T14:59:47.060475", |
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.", | ||
n | 60 | "num_resources": 2, | n | 60 | "num_resources": 3, |
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", | ||
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115 | are used in a wide variety of applications in environmental sciences. | 115 | are used in a wide variety of applications in environmental sciences. | ||
116 | Here we present the CHELSA-TraCE21k downscaling algorithm to create | 116 | Here we present the CHELSA-TraCE21k downscaling algorithm to create | ||
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122 | interpolation of a dynamic ice sheet model (ICE6G) and a coupling to | 122 | interpolation of a dynamic ice sheet model (ICE6G) and a coupling to | ||
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124 | 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 | ||
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205 | "vocabulary_id": null | 231 | "vocabulary_id": null | ||
206 | }, | 232 | }, | ||
207 | { | 233 | { | ||
208 | "display_name": "OROGRAPHY", | 234 | "display_name": "OROGRAPHY", | ||
209 | "id": "88b46b2c-7352-44ac-9973-523bb8f07ef7", | 235 | "id": "88b46b2c-7352-44ac-9973-523bb8f07ef7", | ||
210 | "name": "OROGRAPHY", | 236 | "name": "OROGRAPHY", | ||
211 | "state": "active", | 237 | "state": "active", | ||
212 | "vocabulary_id": null | 238 | "vocabulary_id": null | ||
213 | }, | 239 | }, | ||
214 | { | 240 | { | ||
215 | "display_name": "PALEO CLIMATE", | 241 | "display_name": "PALEO CLIMATE", | ||
216 | "id": "9a3d0b84-4411-480e-b85c-b520a655744e", | 242 | "id": "9a3d0b84-4411-480e-b85c-b520a655744e", | ||
217 | "name": "PALEO CLIMATE", | 243 | "name": "PALEO CLIMATE", | ||
218 | "state": "active", | 244 | "state": "active", | ||
219 | "vocabulary_id": null | 245 | "vocabulary_id": null | ||
220 | }, | 246 | }, | ||
221 | { | 247 | { | ||
222 | "display_name": "PRECIPITATION", | 248 | "display_name": "PRECIPITATION", | ||
223 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | 249 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | ||
224 | "name": "PRECIPITATION", | 250 | "name": "PRECIPITATION", | ||
225 | "state": "active", | 251 | "state": "active", | ||
226 | "vocabulary_id": null | 252 | "vocabulary_id": null | ||
227 | } | 253 | } | ||
228 | ], | 254 | ], | ||
229 | "title": "CHELSA-TraCE21k: Downscaled transient temperature and | 255 | "title": "CHELSA-TraCE21k: Downscaled transient temperature and | ||
230 | precipitation data since the last glacial maximum", | 256 | precipitation data since the last glacial maximum", | ||
231 | "type": "dataset", | 257 | "type": "dataset", | ||
232 | "url": null, | 258 | "url": null, | ||
233 | "version": "1.0" | 259 | "version": "1.0" | ||
234 | } | 260 | } |