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f | 1 | { | f | 1 | { |
2 | "Creator": "Yu Zhang, Budong Qian and Gang Hong", | 2 | "Creator": "Yu Zhang, Budong Qian and Gang Hong", | ||
3 | "author": null, | 3 | "author": null, | ||
4 | "author_email": null, | 4 | "author_email": null, | ||
5 | "creator_user_id": "3d05e0de-1423-4655-b300-645717582c74", | 5 | "creator_user_id": "3d05e0de-1423-4655-b300-645717582c74", | ||
6 | "description": "", | 6 | "description": "", | ||
7 | "funding_program": "", | 7 | "funding_program": "", | ||
8 | "geographic_range": [ | 8 | "geographic_range": [ | ||
9 | "NWT" | 9 | "NWT" | ||
10 | ], | 10 | ], | ||
11 | "groups": [], | 11 | "groups": [], | ||
12 | "id": "8e180e19-a6ab-4046-848b-14e6fd0b297f", | 12 | "id": "8e180e19-a6ab-4046-848b-14e6fd0b297f", | ||
13 | "isopen": false, | 13 | "isopen": false, | ||
14 | "license_id": "notspecified", | 14 | "license_id": "notspecified", | ||
15 | "license_title": "License Not Specified", | 15 | "license_title": "License Not Specified", | ||
16 | "local_relevance": "This study developed a dataset for modeling and | 16 | "local_relevance": "This study developed a dataset for modeling and | ||
17 | mapping permafrost at high spatial resolutions in Canda, including the | 17 | mapping permafrost at high spatial resolutions in Canda, including the | ||
18 | NWT.", | 18 | NWT.", | ||
19 | "maintainer": null, | 19 | "maintainer": null, | ||
20 | "maintainer_email": null, | 20 | "maintainer_email": null, | ||
21 | "metadata_created": "2023-12-12T00:35:30.682349", | 21 | "metadata_created": "2023-12-12T00:35:30.682349", | ||
n | 22 | "metadata_modified": "2023-12-12T00:35:57.532314", | n | 22 | "metadata_modified": "2023-12-12T00:35:57.666066", |
23 | "metatags": "Research,Permafrost,Dataset,Mapping,Modelling", | 23 | "metatags": "Research,Permafrost,Dataset,Mapping,Modelling", | ||
24 | "modified_date": "2020-12-16", | 24 | "modified_date": "2020-12-16", | ||
25 | "name": | 25 | "name": | ||
26 | ong-term-1-km-resolution-daily-meteorological-dataset-for-permafrost", | 26 | ong-term-1-km-resolution-daily-meteorological-dataset-for-permafrost", | ||
27 | "notes": "This study developed a long-term (1901\u20132100), 1-km | 27 | "notes": "This study developed a long-term (1901\u20132100), 1-km | ||
28 | resolution daily meteorological dataset (Met1km) for modeling and | 28 | resolution daily meteorological dataset (Met1km) for modeling and | ||
29 | mapping permafrost at high spatial resolutions in Canada.", | 29 | mapping permafrost at high spatial resolutions in Canada.", | ||
30 | "num_resources": 1, | 30 | "num_resources": 1, | ||
31 | "num_tags": 5, | 31 | "num_tags": 5, | ||
32 | "organization": { | 32 | "organization": { | ||
33 | "approval_status": "approved", | 33 | "approval_status": "approved", | ||
34 | "created": "2023-11-27T15:29:16.450990", | 34 | "created": "2023-11-27T15:29:16.450990", | ||
35 | "description": "", | 35 | "description": "", | ||
36 | "id": "76bec39b-e0d4-4f47-8eb8-0a7e4a6698f3", | 36 | "id": "76bec39b-e0d4-4f47-8eb8-0a7e4a6698f3", | ||
37 | "image_url": "", | 37 | "image_url": "", | ||
38 | "is_organization": true, | 38 | "is_organization": true, | ||
39 | "name": "academic-journal", | 39 | "name": "academic-journal", | ||
40 | "state": "active", | 40 | "state": "active", | ||
41 | "title": "Academic Journal", | 41 | "title": "Academic Journal", | ||
42 | "type": "organization" | 42 | "type": "organization" | ||
43 | }, | 43 | }, | ||
44 | "owner_org": "76bec39b-e0d4-4f47-8eb8-0a7e4a6698f3", | 44 | "owner_org": "76bec39b-e0d4-4f47-8eb8-0a7e4a6698f3", | ||
45 | "private": false, | 45 | "private": false, | ||
46 | "relationships_as_object": [], | 46 | "relationships_as_object": [], | ||
47 | "relationships_as_subject": [], | 47 | "relationships_as_subject": [], | ||
48 | "release_date": "2020-12-16", | 48 | "release_date": "2020-12-16", | ||
49 | "resources": [ | 49 | "resources": [ | ||
50 | { | 50 | { | ||
51 | "cache_last_updated": null, | 51 | "cache_last_updated": null, | ||
52 | "cache_url": null, | 52 | "cache_url": null, | ||
53 | "created": "2023-12-12T00:35:57.548309", | 53 | "created": "2023-12-12T00:35:57.548309", | ||
54 | "datastore_active": false, | 54 | "datastore_active": false, | ||
55 | "datastore_contains_all_records_of_source_file": false, | 55 | "datastore_contains_all_records_of_source_file": false, | ||
56 | "description": null, | 56 | "description": null, | ||
57 | "format": "", | 57 | "format": "", | ||
58 | "hash": "", | 58 | "hash": "", | ||
59 | "id": "998c86fd-e3f0-4efc-84a5-031ca49ebccf", | 59 | "id": "998c86fd-e3f0-4efc-84a5-031ca49ebccf", | ||
60 | "last_modified": null, | 60 | "last_modified": null, | ||
n | 61 | "metadata_modified": "2023-12-12T00:35:57.537952", | n | 61 | "metadata_modified": "2023-12-12T00:35:57.672034", |
62 | "mimetype": null, | 62 | "mimetype": null, | ||
63 | "mimetype_inner": null, | 63 | "mimetype_inner": null, | ||
64 | "name": "A Long-Term, 1-km Resolution Daily Meteorological | 64 | "name": "A Long-Term, 1-km Resolution Daily Meteorological | ||
65 | Dataset for Modeling and Mapping Permafrost in Canada", | 65 | Dataset for Modeling and Mapping Permafrost in Canada", | ||
66 | "package_id": "8e180e19-a6ab-4046-848b-14e6fd0b297f", | 66 | "package_id": "8e180e19-a6ab-4046-848b-14e6fd0b297f", | ||
67 | "position": 0, | 67 | "position": 0, | ||
68 | "resource_type": null, | 68 | "resource_type": null, | ||
69 | "size": null, | 69 | "size": null, | ||
70 | "state": "active", | 70 | "state": "active", | ||
71 | "url": "https://www.mdpi.com/2073-4433/11/12/1363", | 71 | "url": "https://www.mdpi.com/2073-4433/11/12/1363", | ||
72 | "url_type": null | 72 | "url_type": null | ||
73 | } | 73 | } | ||
74 | ], | 74 | ], | ||
t | 75 | "state": "draft", | t | 75 | "state": "active", |
76 | "summary": "Climate warming is causing permafrost thaw and there is | 76 | "summary": "Climate warming is causing permafrost thaw and there is | ||
77 | an urgent need to understand the spatial distribution of permafrost | 77 | an urgent need to understand the spatial distribution of permafrost | ||
78 | and its potential changes with climate. This study developed a | 78 | and its potential changes with climate. This study developed a | ||
79 | long-term (1901\u20132100), 1-km resolution daily meteorological | 79 | long-term (1901\u20132100), 1-km resolution daily meteorological | ||
80 | dataset (Met1km) for modeling and mapping permafrost at high spatial | 80 | dataset (Met1km) for modeling and mapping permafrost at high spatial | ||
81 | resolutions in Canada. Met1km includes eight climate variables (daily | 81 | resolutions in Canada. Met1km includes eight climate variables (daily | ||
82 | minimum, maximum, and mean air temperatures, precipitation, vapor | 82 | minimum, maximum, and mean air temperatures, precipitation, vapor | ||
83 | pressure, wind speed, solar radiation, and downward longwave | 83 | pressure, wind speed, solar radiation, and downward longwave | ||
84 | radiation) and is suitable to drive process-based permafrost and other | 84 | radiation) and is suitable to drive process-based permafrost and other | ||
85 | land-surface models. Met1km was developed based on four coarser | 85 | land-surface models. Met1km was developed based on four coarser | ||
86 | gridded meteorological datasets for the historical period. Future | 86 | gridded meteorological datasets for the historical period. Future | ||
87 | values were developed using the output of a new Canadian regional | 87 | values were developed using the output of a new Canadian regional | ||
88 | climate model under medium-low and high emission scenarios. These | 88 | climate model under medium-low and high emission scenarios. These | ||
89 | datasets were downscaled to 1-km resolution using the re-baselining | 89 | datasets were downscaled to 1-km resolution using the re-baselining | ||
90 | method based on the WorldClim2 dataset as spatial templates. We | 90 | method based on the WorldClim2 dataset as spatial templates. We | ||
91 | assessed Met1km by comparing it to climate station observations across | 91 | assessed Met1km by comparing it to climate station observations across | ||
92 | Canada and a gridded monthly anomaly time-series dataset. The accuracy | 92 | Canada and a gridded monthly anomaly time-series dataset. The accuracy | ||
93 | of Met1km is similar to or better than the four coarser gridded | 93 | of Met1km is similar to or better than the four coarser gridded | ||
94 | datasets. The errors in long-term averages and average seasonal | 94 | datasets. The errors in long-term averages and average seasonal | ||
95 | patterns are small. The error occurs mainly in day-to-day | 95 | patterns are small. The error occurs mainly in day-to-day | ||
96 | fluctuations, thus the error decreases significantly when averaged | 96 | fluctuations, thus the error decreases significantly when averaged | ||
97 | over 5 to 10 days. Met1km, as a data generating system, is relatively | 97 | over 5 to 10 days. Met1km, as a data generating system, is relatively | ||
98 | small in data volume, flexible to use, and easy to update when new or | 98 | small in data volume, flexible to use, and easy to update when new or | ||
99 | improved source datasets are available. The method can also be used to | 99 | improved source datasets are available. The method can also be used to | ||
100 | generate similar datasets for other regions, even for the entire | 100 | generate similar datasets for other regions, even for the entire | ||
101 | global landmass.", | 101 | global landmass.", | ||
102 | "tags": [ | 102 | "tags": [ | ||
103 | { | 103 | { | ||
104 | "display_name": "Dataset", | 104 | "display_name": "Dataset", | ||
105 | "id": "4c983d91-a0c5-4f25-9477-dcad6a144f34", | 105 | "id": "4c983d91-a0c5-4f25-9477-dcad6a144f34", | ||
106 | "name": "Dataset", | 106 | "name": "Dataset", | ||
107 | "state": "active", | 107 | "state": "active", | ||
108 | "vocabulary_id": null | 108 | "vocabulary_id": null | ||
109 | }, | 109 | }, | ||
110 | { | 110 | { | ||
111 | "display_name": "Mapping", | 111 | "display_name": "Mapping", | ||
112 | "id": "75df04ea-d22c-4c15-b12d-61f9400d24b9", | 112 | "id": "75df04ea-d22c-4c15-b12d-61f9400d24b9", | ||
113 | "name": "Mapping", | 113 | "name": "Mapping", | ||
114 | "state": "active", | 114 | "state": "active", | ||
115 | "vocabulary_id": null | 115 | "vocabulary_id": null | ||
116 | }, | 116 | }, | ||
117 | { | 117 | { | ||
118 | "display_name": "Modelling", | 118 | "display_name": "Modelling", | ||
119 | "id": "c6a07002-c4d3-4aac-a0b9-171dc7a79400", | 119 | "id": "c6a07002-c4d3-4aac-a0b9-171dc7a79400", | ||
120 | "name": "Modelling", | 120 | "name": "Modelling", | ||
121 | "state": "active", | 121 | "state": "active", | ||
122 | "vocabulary_id": null | 122 | "vocabulary_id": null | ||
123 | }, | 123 | }, | ||
124 | { | 124 | { | ||
125 | "display_name": "Permafrost", | 125 | "display_name": "Permafrost", | ||
126 | "id": "ae8cf607-cab9-443a-9c5e-0a7a51698419", | 126 | "id": "ae8cf607-cab9-443a-9c5e-0a7a51698419", | ||
127 | "name": "Permafrost", | 127 | "name": "Permafrost", | ||
128 | "state": "active", | 128 | "state": "active", | ||
129 | "vocabulary_id": null | 129 | "vocabulary_id": null | ||
130 | }, | 130 | }, | ||
131 | { | 131 | { | ||
132 | "display_name": "Research", | 132 | "display_name": "Research", | ||
133 | "id": "9ce08dce-f710-4692-8be5-23a0beedaf90", | 133 | "id": "9ce08dce-f710-4692-8be5-23a0beedaf90", | ||
134 | "name": "Research", | 134 | "name": "Research", | ||
135 | "state": "active", | 135 | "state": "active", | ||
136 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
137 | } | 137 | } | ||
138 | ], | 138 | ], | ||
139 | "title": "A Long-Term, 1-km Resolution Daily Meteorological Dataset | 139 | "title": "A Long-Term, 1-km Resolution Daily Meteorological Dataset | ||
140 | for Modeling and Mapping Permafrost in Canada", | 140 | for Modeling and Mapping Permafrost in Canada", | ||
141 | "type": "dataset", | 141 | "type": "dataset", | ||
142 | "url": null, | 142 | "url": null, | ||
143 | "version": null | 143 | "version": null | ||
144 | } | 144 | } |