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in Multiple realizations of daily snow water equivalent, surface water input and liquid precipitation projections for mid- and late-century
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche | 2 | "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche | ||
3 | Research SLF, 7260 Davos, Switzerland\", \"affiliation_02\": \"Swiss | 3 | Research SLF, 7260 Davos, Switzerland\", \"affiliation_02\": \"Swiss | ||
4 | Federal Institute for Forest, Snow and Landscape Research\", | 4 | Federal Institute for Forest, Snow and Landscape Research\", | ||
5 | \"affiliation_03\": \"\", \"email\": \"michael.schirmer@wsl.ch\", | 5 | \"affiliation_03\": \"\", \"email\": \"michael.schirmer@wsl.ch\", | ||
6 | \"given_name\": \"Michael\", \"identifier\": \"\", \"name\": | 6 | \"given_name\": \"Michael\", \"identifier\": \"\", \"name\": | ||
7 | \"Schirmer\"}, {\"affiliation\": \"WSL-SLF\", \"affiliation_02\": | 7 | \"Schirmer\"}, {\"affiliation\": \"WSL-SLF\", \"affiliation_02\": | ||
8 | \"\", \"affiliation_03\": \"\", \"data_credit\": [\"software\", | 8 | \"\", \"affiliation_03\": \"\", \"data_credit\": [\"software\", | ||
9 | \"publication\"], \"email\": \"adam.winstral@slf.ch\", \"given_name\": | 9 | \"publication\"], \"email\": \"adam.winstral@slf.ch\", \"given_name\": | ||
10 | \"Adam\", \"identifier\": \"0000-0003-2556-8359\", \"name\": | 10 | \"Adam\", \"identifier\": \"0000-0003-2556-8359\", \"name\": | ||
11 | \"Winstral\"}, {\"affiliation\": \"WSL Institute for Snow and | 11 | \"Winstral\"}, {\"affiliation\": \"WSL Institute for Snow and | ||
12 | Avalanche Research SLF\", \"affiliation_02\": \"\", | 12 | Avalanche Research SLF\", \"affiliation_02\": \"\", | ||
13 | \"affiliation_03\": \"\", \"data_credit\": [\"software\", | 13 | \"affiliation_03\": \"\", \"data_credit\": [\"software\", | ||
14 | \"publication\", \"supervision\"], \"email\": \"jonas@slf.ch\", | 14 | \"publication\", \"supervision\"], \"email\": \"jonas@slf.ch\", | ||
15 | \"given_name\": \"Tobias\", \"identifier\": \"0000-0003-0386-8676\", | 15 | \"given_name\": \"Tobias\", \"identifier\": \"0000-0003-0386-8676\", | ||
16 | \"name\": \"Jonas\"}, {\"affiliation\": \"Institute of Environmental | 16 | \"name\": \"Jonas\"}, {\"affiliation\": \"Institute of Environmental | ||
17 | Engineering, ETH Zurich, 8093 Zurich, Switzerland\", | 17 | Engineering, ETH Zurich, 8093 Zurich, Switzerland\", | ||
18 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 18 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
19 | [\"software\", \"publication\", \"supervision\"], \"email\": | 19 | [\"software\", \"publication\", \"supervision\"], \"email\": | ||
20 | \"burlando@ifu.baug.ethz.ch\", \"given_name\": \"Paolo\", | 20 | \"burlando@ifu.baug.ethz.ch\", \"given_name\": \"Paolo\", | ||
21 | \"identifier\": \"\", \"name\": \"Burlando\"}, {\"affiliation\": | 21 | \"identifier\": \"\", \"name\": \"Burlando\"}, {\"affiliation\": | ||
22 | \"Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, | 22 | \"Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, | ||
23 | Switzerland\", \"affiliation_02\": \"Institute of Earth Surface | 23 | Switzerland\", \"affiliation_02\": \"Institute of Earth Surface | ||
24 | Dynamics, University of Lausanne, 1015 Lausanne, Switzerland\", | 24 | Dynamics, University of Lausanne, 1015 Lausanne, Switzerland\", | ||
25 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 25 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
26 | \"validation\", \"software\", \"publication\"], \"email\": | 26 | \"validation\", \"software\", \"publication\"], \"email\": | ||
27 | \"nadav.peleg@unil.ch\", \"given_name\": \"Nadav\", \"identifier\": | 27 | \"nadav.peleg@unil.ch\", \"given_name\": \"Nadav\", \"identifier\": | ||
28 | \"\", \"name\": \"Peleg\"}]", | 28 | \"\", \"name\": \"Peleg\"}]", | ||
29 | "author_email": null, | 29 | "author_email": null, | ||
30 | "creator_user_id": "3cd73f47-31df-46f8-ad5b-64a1d9d50650", | 30 | "creator_user_id": "3cd73f47-31df-46f8-ad5b-64a1d9d50650", | ||
31 | "date": "[{\"date\": \"2021-08-24\", \"date_type\": \"created\", | 31 | "date": "[{\"date\": \"2021-08-24\", \"date_type\": \"created\", | ||
32 | \"end_date\": \"2021-08-24\"}]", | 32 | \"end_date\": \"2021-08-24\"}]", | ||
33 | "doi": "10.16904/envidat.339", | 33 | "doi": "10.16904/envidat.339", | ||
34 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Swiss | 34 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Swiss | ||
35 | Competence Center for Energy Research-Supply of Electricity \", | 35 | Competence Center for Energy Research-Supply of Electricity \", | ||
36 | \"institution_url\": \"http://www.sccer-soe.ch\"}]", | 36 | \"institution_url\": \"http://www.sccer-soe.ch\"}]", | ||
37 | "groups": [], | 37 | "groups": [], | ||
38 | "id": "44750187-ae80-49ef-b2ae-360e624d89f8", | 38 | "id": "44750187-ae80-49ef-b2ae-360e624d89f8", | ||
39 | "isopen": true, | 39 | "isopen": true, | ||
40 | "language": "en", | 40 | "language": "en", | ||
41 | "license_id": "odc-odbl", | 41 | "license_id": "odc-odbl", | ||
42 | "license_title": "ODbL with Database Contents License (DbCL)", | 42 | "license_title": "ODbL with Database Contents License (DbCL)", | ||
43 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | 43 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | ||
44 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | 44 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | ||
45 | Avalanche Research SLF, 7260 Davos, Switzerland\", \"email\": | 45 | Avalanche Research SLF, 7260 Davos, Switzerland\", \"email\": | ||
46 | \"michael.schirmer@wsl.ch\", \"given_name\": \"Michael\", | 46 | \"michael.schirmer@wsl.ch\", \"given_name\": \"Michael\", | ||
47 | \"identifier\": \"\", \"name\": \"Schirmer\"}", | 47 | \"identifier\": \"\", \"name\": \"Schirmer\"}", | ||
48 | "maintainer_email": null, | 48 | "maintainer_email": null, | ||
49 | "metadata_created": "2021-08-24T19:41:47.540111", | 49 | "metadata_created": "2021-08-24T19:41:47.540111", | ||
n | 50 | "metadata_modified": "2022-08-10T10:00:39.618732", | n | 50 | "metadata_modified": "2022-08-10T11:52:44.948569", |
51 | "name": | 51 | "name": | ||
52 | "multiple-realizations-of-daily-swe-swi-and-rain-projections", | 52 | "multiple-realizations-of-daily-swe-swi-and-rain-projections", | ||
53 | "notes": "The dataset contains for three variables (snow water | 53 | "notes": "The dataset contains for three variables (snow water | ||
54 | equivalent, surface water input and liquid precipitation) 50 | 54 | equivalent, surface water input and liquid precipitation) 50 | ||
55 | realizations of current and future climate periods for two time | 55 | realizations of current and future climate periods for two time | ||
56 | horizons (mid end end of century), two emission senarions (RCP 4.5 and | 56 | horizons (mid end end of century), two emission senarions (RCP 4.5 and | ||
57 | 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To | 57 | 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To | ||
58 | quantify natural climate variability for projections of snow | 58 | quantify natural climate variability for projections of snow | ||
59 | conditions and resulting rain-on-snow (ROS) flood events, a weather | 59 | conditions and resulting rain-on-snow (ROS) flood events, a weather | ||
60 | generator was applied to simulate inherently consistent climate | 60 | generator was applied to simulate inherently consistent climate | ||
61 | variables for multiple realizations of current and future climates at | 61 | variables for multiple realizations of current and future climates at | ||
62 | 100 m spatial and hourly temporal resolution over a 12 x 12 km | 62 | 100 m spatial and hourly temporal resolution over a 12 x 12 km | ||
63 | high-altitude study area in the Swiss Alps. The output of the weather | 63 | high-altitude study area in the Swiss Alps. The output of the weather | ||
64 | generator was used as input for subsequent simulations with an energy | 64 | generator was used as input for subsequent simulations with an energy | ||
65 | balance snow model. The data was extracted in 2021 from original model | 65 | balance snow model. The data was extracted in 2021 from original model | ||
66 | output.", | 66 | output.", | ||
67 | "num_resources": 1, | 67 | "num_resources": 1, | ||
68 | "num_tags": 6, | 68 | "num_tags": 6, | ||
69 | "organization": { | 69 | "organization": { | ||
70 | "approval_status": "approved", | 70 | "approval_status": "approved", | ||
71 | "created": "2021-08-23T15:25:48.676190", | 71 | "created": "2021-08-23T15:25:48.676190", | ||
72 | "description": "The research group \u00abSnow Hydrology\u00bb | 72 | "description": "The research group \u00abSnow Hydrology\u00bb | ||
73 | investigates snow as a component of the hydrological cycle. In the | 73 | investigates snow as a component of the hydrological cycle. In the | ||
74 | Alps a significant percentage of precipitation comes in the form of | 74 | Alps a significant percentage of precipitation comes in the form of | ||
75 | snow. The timing of snow melt thus influences the annual dynamics of | 75 | snow. The timing of snow melt thus influences the annual dynamics of | ||
76 | runoff from alpine watersheds. Of particular interest for our research | 76 | runoff from alpine watersheds. Of particular interest for our research | ||
77 | is to enhance estimations of snow water resources and subsequent melt | 77 | is to enhance estimations of snow water resources and subsequent melt | ||
78 | water discharge.\r\n\r\nThe research group covers a broad range of | 78 | water discharge.\r\n\r\nThe research group covers a broad range of | ||
79 | projects and methods. The latest measuring techniques are used to | 79 | projects and methods. The latest measuring techniques are used to | ||
80 | investigate snow distribution patterns in alpine terrain, e.g. laser | 80 | investigate snow distribution patterns in alpine terrain, e.g. laser | ||
81 | scanning or radar technology. We use different types of numerical | 81 | scanning or radar technology. We use different types of numerical | ||
82 | models to calculate snow water resources based on input data from | 82 | models to calculate snow water resources based on input data from | ||
83 | meteorological monitoring networks. These models are being used to | 83 | meteorological monitoring networks. These models are being used to | ||
84 | predict the consequences of climate change on the water balance of | 84 | predict the consequences of climate change on the water balance of | ||
85 | mountain watersheds. The models also constitute a valuable tool for | 85 | mountain watersheds. The models also constitute a valuable tool for | ||
86 | our operational services, such as periodic snow hydrological | 86 | our operational services, such as periodic snow hydrological | ||
87 | bulletins, which contribute to the federal flood prevention and | 87 | bulletins, which contribute to the federal flood prevention and | ||
88 | forecasting system.\r\n\r\nThe research group \u00abSnow | 88 | forecasting system.\r\n\r\nThe research group \u00abSnow | ||
89 | Hydrology\u00bb is based in Davos and ensures the link between other | 89 | Hydrology\u00bb is based in Davos and ensures the link between other | ||
90 | Davosian research groups and the research unit \u201dMountain | 90 | Davosian research groups and the research unit \u201dMountain | ||
91 | Hydrology and Mass Movements\u201d in Birmensdorf.", | 91 | Hydrology and Mass Movements\u201d in Birmensdorf.", | ||
92 | "id": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | 92 | "id": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | ||
93 | "image_url": "", | 93 | "image_url": "", | ||
94 | "is_organization": true, | 94 | "is_organization": true, | ||
95 | "name": "snow-hydrology", | 95 | "name": "snow-hydrology", | ||
96 | "state": "active", | 96 | "state": "active", | ||
97 | "title": "Snow Hydrology", | 97 | "title": "Snow Hydrology", | ||
98 | "type": "organization" | 98 | "type": "organization" | ||
99 | }, | 99 | }, | ||
100 | "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | 100 | "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | ||
101 | "private": false, | 101 | "private": false, | ||
102 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 102 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
103 | \"EnviDat\"}", | 103 | \"EnviDat\"}", | ||
t | 104 | "publication_state": "approved", | t | 104 | "publication_state": "published", |
105 | "related_datasets": "", | 105 | "related_datasets": "", | ||
106 | "related_publications": "* Schirmer, M., Winstral, A., Jonas, T., | 106 | "related_publications": "* Schirmer, M., Winstral, A., Jonas, T., | ||
107 | Burlando, P., and Peleg, N.: Natural climate variability is an | 107 | Burlando, P., and Peleg, N.: Natural climate variability is an | ||
108 | important aspect of future projections of snow water resources and | 108 | important aspect of future projections of snow water resources and | ||
109 | rain-on-snow events, The Cryosphere Discuss. [preprint], | 109 | rain-on-snow events, The Cryosphere Discuss. [preprint], | ||
110 | https://doi.org/10.5194/tc-2021-276, in review, 2021.", | 110 | https://doi.org/10.5194/tc-2021-276, in review, 2021.", | ||
111 | "relationships_as_object": [], | 111 | "relationships_as_object": [], | ||
112 | "relationships_as_subject": [], | 112 | "relationships_as_subject": [], | ||
113 | "resource_type": "dataset", | 113 | "resource_type": "dataset", | ||
114 | "resource_type_general": "dataset", | 114 | "resource_type_general": "dataset", | ||
115 | "resources": [ | 115 | "resources": [ | ||
116 | { | 116 | { | ||
117 | "cache_last_updated": null, | 117 | "cache_last_updated": null, | ||
118 | "cache_url": null, | 118 | "cache_url": null, | ||
119 | "created": "2021-08-24T20:08:46.228754", | 119 | "created": "2021-08-24T20:08:46.228754", | ||
120 | "description": "", | 120 | "description": "", | ||
121 | "doi": "", | 121 | "doi": "", | ||
122 | "format": "netcdf4", | 122 | "format": "netcdf4", | ||
123 | "hash": "", | 123 | "hash": "", | ||
124 | "id": "f1891668-63b6-4449-add0-69bef67379f0", | 124 | "id": "f1891668-63b6-4449-add0-69bef67379f0", | ||
125 | "last_modified": null, | 125 | "last_modified": null, | ||
126 | "metadata_modified": "2021-09-01T15:10:38.590076", | 126 | "metadata_modified": "2021-09-01T15:10:38.590076", | ||
127 | "mimetype": null, | 127 | "mimetype": null, | ||
128 | "mimetype_inner": null, | 128 | "mimetype_inner": null, | ||
129 | "name": "climate realizations", | 129 | "name": "climate realizations", | ||
130 | "package_id": "44750187-ae80-49ef-b2ae-360e624d89f8", | 130 | "package_id": "44750187-ae80-49ef-b2ae-360e624d89f8", | ||
131 | "position": 0, | 131 | "position": 0, | ||
132 | "publication_state": "", | 132 | "publication_state": "", | ||
133 | "resource_size": "{\"size_units\": \"gb\", \"size_value\": | 133 | "resource_size": "{\"size_units\": \"gb\", \"size_value\": | ||
134 | \"638\"}", | 134 | \"638\"}", | ||
135 | "resource_type": null, | 135 | "resource_type": null, | ||
136 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 136 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
137 | \"shared_secret\": \"\"}", | 137 | \"shared_secret\": \"\"}", | ||
138 | "size": null, | 138 | "size": null, | ||
139 | "state": "active", | 139 | "state": "active", | ||
140 | "url": | 140 | "url": | ||
141 | "https://envicloud.wsl.ch/#/?prefix=wsl/climate_realizations/", | 141 | "https://envicloud.wsl.ch/#/?prefix=wsl/climate_realizations/", | ||
142 | "url_type": null | 142 | "url_type": null | ||
143 | } | 143 | } | ||
144 | ], | 144 | ], | ||
145 | "spatial": | 145 | "spatial": | ||
146 | 898438,46.544946016020575],[8.309097290039062,46.544946016020575]]]}", | 146 | 898438,46.544946016020575],[8.309097290039062,46.544946016020575]]]}", | ||
147 | "spatial_info": "Switzerland", | 147 | "spatial_info": "Switzerland", | ||
148 | "state": "active", | 148 | "state": "active", | ||
149 | "subtitle": "", | 149 | "subtitle": "", | ||
150 | "tags": [ | 150 | "tags": [ | ||
151 | { | 151 | { | ||
152 | "display_name": "CLIMATE CHANGE IMPACT", | 152 | "display_name": "CLIMATE CHANGE IMPACT", | ||
153 | "id": "60cf5f04-279b-4bb8-9608-7b85649babfa", | 153 | "id": "60cf5f04-279b-4bb8-9608-7b85649babfa", | ||
154 | "name": "CLIMATE CHANGE IMPACT", | 154 | "name": "CLIMATE CHANGE IMPACT", | ||
155 | "state": "active", | 155 | "state": "active", | ||
156 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
157 | }, | 157 | }, | ||
158 | { | 158 | { | ||
159 | "display_name": "CRYOSPHERE", | 159 | "display_name": "CRYOSPHERE", | ||
160 | "id": "eb8660b5-2ad3-469d-bafe-a72285155527", | 160 | "id": "eb8660b5-2ad3-469d-bafe-a72285155527", | ||
161 | "name": "CRYOSPHERE", | 161 | "name": "CRYOSPHERE", | ||
162 | "state": "active", | 162 | "state": "active", | ||
163 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
164 | }, | 164 | }, | ||
165 | { | 165 | { | ||
166 | "display_name": "NATURAL CLIMATE VARIABILITY", | 166 | "display_name": "NATURAL CLIMATE VARIABILITY", | ||
167 | "id": "02eb570d-2363-48e7-b7a4-ce692966be2b", | 167 | "id": "02eb570d-2363-48e7-b7a4-ce692966be2b", | ||
168 | "name": "NATURAL CLIMATE VARIABILITY", | 168 | "name": "NATURAL CLIMATE VARIABILITY", | ||
169 | "state": "active", | 169 | "state": "active", | ||
170 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
171 | }, | 171 | }, | ||
172 | { | 172 | { | ||
173 | "display_name": "RAIN-ON-SNOW", | 173 | "display_name": "RAIN-ON-SNOW", | ||
174 | "id": "4eab6bd4-e5e9-4e4b-b5a4-ea1ddcf9e18e", | 174 | "id": "4eab6bd4-e5e9-4e4b-b5a4-ea1ddcf9e18e", | ||
175 | "name": "RAIN-ON-SNOW", | 175 | "name": "RAIN-ON-SNOW", | ||
176 | "state": "active", | 176 | "state": "active", | ||
177 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
178 | }, | 178 | }, | ||
179 | { | 179 | { | ||
180 | "display_name": "SNOW WATER EQUIVALENT", | 180 | "display_name": "SNOW WATER EQUIVALENT", | ||
181 | "id": "87ab10f7-3e04-47ef-9159-830c167c0699", | 181 | "id": "87ab10f7-3e04-47ef-9159-830c167c0699", | ||
182 | "name": "SNOW WATER EQUIVALENT", | 182 | "name": "SNOW WATER EQUIVALENT", | ||
183 | "state": "active", | 183 | "state": "active", | ||
184 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
185 | }, | 185 | }, | ||
186 | { | 186 | { | ||
187 | "display_name": "UNCERTAINTY", | 187 | "display_name": "UNCERTAINTY", | ||
188 | "id": "923444da-46a4-4b76-9459-727a02802926", | 188 | "id": "923444da-46a4-4b76-9459-727a02802926", | ||
189 | "name": "UNCERTAINTY", | 189 | "name": "UNCERTAINTY", | ||
190 | "state": "active", | 190 | "state": "active", | ||
191 | "vocabulary_id": null | 191 | "vocabulary_id": null | ||
192 | } | 192 | } | ||
193 | ], | 193 | ], | ||
194 | "title": "Multiple realizations of daily snow water equivalent, | 194 | "title": "Multiple realizations of daily snow water equivalent, | ||
195 | surface water input and liquid precipitation projections for mid- and | 195 | surface water input and liquid precipitation projections for mid- and | ||
196 | late-century", | 196 | late-century", | ||
197 | "type": "dataset", | 197 | "type": "dataset", | ||
198 | "url": null, | 198 | "url": null, | ||
199 | "version": "1.0" | 199 | "version": "1.0" | ||
200 | } | 200 | } |