Changes
On February 17, 2021 at 2:50:02 PM UTC, Administrator:
-
Changed value of field
publication_state
toapproved
in CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum
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11 | \"Aarhus University\", \"affiliation_02\": \"\", \"affiliation_03\": | 11 | \"Aarhus University\", \"affiliation_02\": \"\", \"affiliation_03\": | ||
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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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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\": | ||
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36 | "license_title": "Other (Specified in the description)", | 36 | "license_title": "Other (Specified in the description)", | ||
37 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 37 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
38 | \"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", | 38 | \"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", | ||
39 | \"identifier\": \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}", | 39 | \"identifier\": \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}", | ||
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41 | "metadata_created": "2020-06-23T12:06:20.035652", | 41 | "metadata_created": "2020-06-23T12:06:20.035652", | ||
n | 42 | "metadata_modified": "2021-02-17T13:17:52.850775", | n | 42 | "metadata_modified": "2021-02-17T14:50:02.624873", |
43 | "name": "chelsa_trace", | 43 | "name": "chelsa_trace", | ||
44 | "notes": "High resolution, downscaled climate model data are used in | 44 | "notes": "High resolution, downscaled climate model data are used in | ||
45 | a wide variety of applications in environmental sciences. Here we | 45 | a wide variety of applications in environmental sciences. Here we | ||
46 | present the CHELSA-TraCE21k downscaling algorithm to create global | 46 | present the CHELSA-TraCE21k downscaling algorithm to create global | ||
47 | monthly climatologies for temperature and precipitation at 30 arcsec | 47 | monthly climatologies for temperature and precipitation at 30 arcsec | ||
48 | spatial resolution in 100 year time steps for the last 21,000 years. | 48 | spatial resolution in 100 year time steps for the last 21,000 years. | ||
49 | Paleo orography at high spatial resolution and at each timestep is | 49 | Paleo orography at high spatial resolution and at each timestep is | ||
50 | created by combining high resolution information on glacial cover from | 50 | created by combining high resolution information on glacial cover from | ||
51 | current and Last Glacial Maximum (LGM) glacier databases with the | 51 | current and Last Glacial Maximum (LGM) glacier databases with the | ||
52 | interpolation of a dynamic ice sheet model (ICE6G) and a coupling to | 52 | interpolation of a dynamic ice sheet model (ICE6G) and a coupling to | ||
53 | mean annual temperatures from CCSM3-TraCE21k. Based on the | 53 | mean annual temperatures from CCSM3-TraCE21k. Based on the | ||
54 | reconstructed paleo orography, mean annual temperature and | 54 | reconstructed paleo orography, mean annual temperature and | ||
55 | precipitation was downscaled using the CHELSA V1.2 algorithm. | 55 | precipitation was downscaled using the CHELSA V1.2 algorithm. | ||
56 | \r\n\r\nThe data is published under a Creative Commons Attribution 2.0 | 56 | \r\n\r\nThe data is published under a Creative Commons Attribution 2.0 | ||
57 | Generic (CC BY 2.0) license.", | 57 | Generic (CC BY 2.0) license.", | ||
58 | "num_resources": 2, | 58 | "num_resources": 2, | ||
59 | "num_tags": 6, | 59 | "num_tags": 6, | ||
60 | "organization": { | 60 | "organization": { | ||
61 | "approval_status": "approved", | 61 | "approval_status": "approved", | ||
62 | "created": "2018-05-31T14:24:18.890912", | 62 | "created": "2018-05-31T14:24:18.890912", | ||
63 | "description": "The dynamic macroecology group studies different | 63 | "description": "The dynamic macroecology group studies different | ||
64 | aspects of ecology on large spatial and temporal scales, from the | 64 | aspects of ecology on large spatial and temporal scales, from the | ||
65 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | 65 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | ||
66 | species and their traits change in space and time, particularly with | 66 | species and their traits change in space and time, particularly with | ||
67 | global change?\u201d", | 67 | global change?\u201d", | ||
68 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 68 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
69 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | 69 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | ||
70 | "is_organization": true, | 70 | "is_organization": true, | ||
71 | "name": "dynamic-macroecology", | 71 | "name": "dynamic-macroecology", | ||
72 | "state": "active", | 72 | "state": "active", | ||
73 | "title": "Dynamic Macroecology", | 73 | "title": "Dynamic Macroecology", | ||
74 | "type": "organization" | 74 | "type": "organization" | ||
75 | }, | 75 | }, | ||
76 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 76 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
77 | "private": false, | 77 | "private": false, | ||
78 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | 78 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | ||
79 | \"EnviDat\"}", | 79 | \"EnviDat\"}", | ||
t | 80 | "publication_state": "pub_pending", | t | 80 | "publication_state": "approved", |
81 | "related_datasets": "Dirk Nikolaus Karger; Olaf Conrad; J\u00fcrgen | 81 | "related_datasets": "Dirk Nikolaus Karger; Olaf Conrad; J\u00fcrgen | ||
82 | B\u00f6hner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; | 82 | B\u00f6hner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; | ||
83 | Niklaus E. Zimmermann; H. Peter Linder; Michael Kessler (2017). | 83 | Niklaus E. Zimmermann; H. Peter Linder; Michael Kessler (2017). | ||
84 | Climatologies at high resolution for the earth\u2019s land surface | 84 | Climatologies at high resolution for the earth\u2019s land surface | ||
85 | areas. Dryad Digital Repository. doi: 10.5061/dryad.kd1d4. | 85 | areas. Dryad Digital Repository. doi: 10.5061/dryad.kd1d4. | ||
86 | \r\n\r\nDirk Nikolaus Karger; Niklaus E. Zimmermann (2018). | 86 | \r\n\r\nDirk Nikolaus Karger; Niklaus E. Zimmermann (2018). | ||
87 | CHELSAcruts - High resolution temperature and precipitation timeseries | 87 | CHELSAcruts - High resolution temperature and precipitation timeseries | ||
88 | for the 20th century and beyond. EnviDat. doi: 10.16904/envidat.159. | 88 | for the 20th century and beyond. EnviDat. doi: 10.16904/envidat.159. | ||
89 | \r\n\r\nDirk Nikolaus Karger; Dirk Schmatz; Gabriel Dettling; Niklaus | 89 | \r\n\r\nDirk Nikolaus Karger; Dirk Schmatz; Gabriel Dettling; Niklaus | ||
90 | E. Zimmermann (2019). High resolution monthly precipitation and | 90 | E. Zimmermann (2019). High resolution monthly precipitation and | ||
91 | temperature timeseries for the period 2006-2100. EnviDat. doi: | 91 | temperature timeseries for the period 2006-2100. EnviDat. doi: | ||
92 | 10.16904/envidat.124. \r\n\r\nDirk Nikolaus Karger; Babek Dabaghchian; | 92 | 10.16904/envidat.124. \r\n\r\nDirk Nikolaus Karger; Babek Dabaghchian; | ||
93 | Stefan Lange; Wilfried Thuiller; Niklaus E. Zimmermann; Catherine H. | 93 | Stefan Lange; Wilfried Thuiller; Niklaus E. Zimmermann; Catherine H. | ||
94 | Graham (2020). High resolution climate data for Europe. EnviDat. doi: | 94 | Graham (2020). High resolution climate data for Europe. EnviDat. doi: | ||
95 | 10.16904/envidat.150. \r\n\r\n", | 95 | 10.16904/envidat.150. \r\n\r\n", | ||
96 | "related_publications": "Karger, D.N., Conrad, O., B\u00f6hner, J., | 96 | "related_publications": "Karger, D.N., Conrad, O., B\u00f6hner, J., | ||
97 | Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, | 97 | Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, | ||
98 | H.P. & Kessler, M. (2017) Climatologies at high resolution for the | 98 | H.P. & Kessler, M. (2017) Climatologies at high resolution for the | ||
99 | earth\u2019s land surface areas. Scientific Data 4, | 99 | earth\u2019s land surface areas. Scientific Data 4, | ||
100 | 170122.\r\n\r\nKarger, D.N., Schmatz, D., Detttling, D., Zimmermann, | 100 | 170122.\r\n\r\nKarger, D.N., Schmatz, D., Detttling, D., Zimmermann, | ||
101 | N.E. (2020) High resolution monthly precipitation and temperature | 101 | N.E. (2020) High resolution monthly precipitation and temperature | ||
102 | timeseries for the period 2006-2100. Scientific Data.\r\n", | 102 | timeseries for the period 2006-2100. Scientific Data.\r\n", | ||
103 | "relationships_as_object": [], | 103 | "relationships_as_object": [], | ||
104 | "relationships_as_subject": [], | 104 | "relationships_as_subject": [], | ||
105 | "resource_type": "dataset", | 105 | "resource_type": "dataset", | ||
106 | "resource_type_general": "dataset", | 106 | "resource_type_general": "dataset", | ||
107 | "resources": [ | 107 | "resources": [ | ||
108 | { | 108 | { | ||
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111 | "created": "2020-06-23T12:07:50.465350", | 111 | "created": "2020-06-23T12:07:50.465350", | ||
112 | "description": "\r\nHigh resolution, downscaled climate model | 112 | "description": "\r\nHigh resolution, downscaled climate model | ||
113 | data are used in a wide variety of applications in environmental | 113 | data are used in a wide variety of applications in environmental | ||
114 | sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to | 114 | sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to | ||
115 | create global monthly climatologies for temperature and precipitation | 115 | create global monthly climatologies for temperature and precipitation | ||
116 | at 30 arcsec spatial resolution in 100 year time steps for the last | 116 | at 30 arcsec spatial resolution in 100 year time steps for the last | ||
117 | 21,000 years. Paleo orography at high spatial resolution and at each | 117 | 21,000 years. Paleo orography at high spatial resolution and at each | ||
118 | timestep is created by combining high resolution information on | 118 | timestep is created by combining high resolution information on | ||
119 | glacial cover from current and Last Glacial Maximum (LGM) glacier | 119 | glacial cover from current and Last Glacial Maximum (LGM) glacier | ||
120 | databases with the interpolation of a dynamic ice sheet model (ICE6G) | 120 | databases with the interpolation of a dynamic ice sheet model (ICE6G) | ||
121 | and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based | 121 | and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based | ||
122 | on the reconstructed paleo orography, mean annual temperature and | 122 | on the reconstructed paleo orography, mean annual temperature and | ||
123 | precipitation was downscaled using the CHELSA V1.2 | 123 | precipitation was downscaled using the CHELSA V1.2 | ||
124 | algorithm.\r\n\r\nThe data is published under a Creative Commons | 124 | algorithm.\r\n\r\nThe data is published under a Creative Commons | ||
125 | Attribution 2.0 Generic (CC BY 2.0) license.\r\n", | 125 | Attribution 2.0 Generic (CC BY 2.0) license.\r\n", | ||
126 | "doi": "", | 126 | "doi": "", | ||
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224 | } | 224 | } | ||
225 | ], | 225 | ], | ||
226 | "title": "CHELSA-TraCE21k: Downscaled transient temperature and | 226 | "title": "CHELSA-TraCE21k: Downscaled transient temperature and | ||
227 | precipitation data since the last glacial maximum", | 227 | precipitation data since the last glacial maximum", | ||
228 | "type": "dataset", | 228 | "type": "dataset", | ||
229 | "url": null, | 229 | "url": null, | ||
230 | "version": "1.0" | 230 | "version": "1.0" | ||
231 | } | 231 | } |