Changes
On August 25, 2021 at 12:18:53 PM UTC, Michael Schirmer:
-
Updated description of Multiple realizations of daily snow water equivalent, surface water input and liquid precipitation projections for mid- and late-century from
This is a preliminary dataset as the review process of the associated manuscript has not yet been completed. When the manuscript is published in final version, the dataset will be provided with a DOI. The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output.
toThis is a preliminary dataset as the review process of the associated manuscript has not yet been completed. When the manuscript is published in final version, the dataset will be provided with a DOI. The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of current and future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output.
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": "", | 33 | "doi": "", | ||
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": "2021-08-25T08:01:52.497229", | n | 50 | "metadata_modified": "2021-08-25T12:18:53.030147", |
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": "This is a preliminary dataset as the review process of the | 53 | "notes": "This is a preliminary dataset as the review process of the | ||
54 | associated manuscript has not yet been completed. When the manuscript | 54 | associated manuscript has not yet been completed. When the manuscript | ||
55 | is published in final version, the dataset will be provided with a | 55 | is published in final version, the dataset will be provided with a | ||
56 | DOI. \r\n\r\nThe dataset contains for three variables (snow water | 56 | DOI. \r\n\r\nThe dataset contains for three variables (snow water | ||
57 | equivalent, surface water input and liquid precipitation) 50 | 57 | equivalent, surface water input and liquid precipitation) 50 | ||
t | 58 | realizations of future climate periods for two time horizons (mid end | t | 58 | realizations of current and future climate periods for two time |
59 | end of century), two emission senarions (RCP 4.5 and 8.5) and 10 | 59 | horizons (mid end end of century), two emission senarions (RCP 4.5 and | ||
60 | climate model chains (all EUR11 chains within CH2018). To quantify | 60 | 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To | ||
61 | natural climate variability for projections of snow conditions and | 61 | quantify natural climate variability for projections of snow | ||
62 | resulting rain-on-snow (ROS) flood events, a weather generator was | 62 | conditions and resulting rain-on-snow (ROS) flood events, a weather | ||
63 | applied to simulate inherently consistent climate variables for | 63 | generator was applied to simulate inherently consistent climate | ||
64 | multiple realizations of current and future climates at 100 m spatial | 64 | variables for multiple realizations of current and future climates at | ||
65 | and hourly temporal resolution over a 12 x 12 km high-altitude study | 65 | 100 m spatial and hourly temporal resolution over a 12 x 12 km | ||
66 | area in the Swiss Alps. The output of the weather generator was used | 66 | high-altitude study area in the Swiss Alps. The output of the weather | ||
67 | as input for subsequent simulations with an energy balance snow model. | 67 | generator was used as input for subsequent simulations with an energy | ||
68 | The data was extracted in 2021 from original model output.", | 68 | balance snow model. The data was extracted in 2021 from original model | ||
69 | output.", | ||||
69 | "num_resources": 1, | 70 | "num_resources": 1, | ||
70 | "num_tags": 6, | 71 | "num_tags": 6, | ||
71 | "organization": { | 72 | "organization": { | ||
72 | "approval_status": "approved", | 73 | "approval_status": "approved", | ||
73 | "created": "2021-08-23T15:25:48.676190", | 74 | "created": "2021-08-23T15:25:48.676190", | ||
74 | "description": "The research group \u00abSnow Hydrology\u00bb | 75 | "description": "The research group \u00abSnow Hydrology\u00bb | ||
75 | investigates snow as a component of the hydrological cycle. In the | 76 | investigates snow as a component of the hydrological cycle. In the | ||
76 | Alps a significant percentage of precipitation comes in the form of | 77 | Alps a significant percentage of precipitation comes in the form of | ||
77 | snow. The timing of snow melt thus influences the annual dynamics of | 78 | snow. The timing of snow melt thus influences the annual dynamics of | ||
78 | runoff from alpine watersheds. Of particular interest for our research | 79 | runoff from alpine watersheds. Of particular interest for our research | ||
79 | is to enhance estimations of snow water resources and subsequent melt | 80 | is to enhance estimations of snow water resources and subsequent melt | ||
80 | water discharge.\r\n\r\nThe research group covers a broad range of | 81 | water discharge.\r\n\r\nThe research group covers a broad range of | ||
81 | projects and methods. The latest measuring techniques are used to | 82 | projects and methods. The latest measuring techniques are used to | ||
82 | investigate snow distribution patterns in alpine terrain, e.g. laser | 83 | investigate snow distribution patterns in alpine terrain, e.g. laser | ||
83 | scanning or radar technology. We use different types of numerical | 84 | scanning or radar technology. We use different types of numerical | ||
84 | models to calculate snow water resources based on input data from | 85 | models to calculate snow water resources based on input data from | ||
85 | meteorological monitoring networks. These models are being used to | 86 | meteorological monitoring networks. These models are being used to | ||
86 | predict the consequences of climate change on the water balance of | 87 | predict the consequences of climate change on the water balance of | ||
87 | mountain watersheds. The models also constitute a valuable tool for | 88 | mountain watersheds. The models also constitute a valuable tool for | ||
88 | our operational services, such as periodic snow hydrological | 89 | our operational services, such as periodic snow hydrological | ||
89 | bulletins, which contribute to the federal flood prevention and | 90 | bulletins, which contribute to the federal flood prevention and | ||
90 | forecasting system.\r\n\r\nThe research group \u00abSnow | 91 | forecasting system.\r\n\r\nThe research group \u00abSnow | ||
91 | Hydrology\u00bb is based in Davos and ensures the link between other | 92 | Hydrology\u00bb is based in Davos and ensures the link between other | ||
92 | Davosian research groups and the research unit \u201dMountain | 93 | Davosian research groups and the research unit \u201dMountain | ||
93 | Hydrology and Mass Movements\u201d in Birmensdorf.", | 94 | Hydrology and Mass Movements\u201d in Birmensdorf.", | ||
94 | "id": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | 95 | "id": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | ||
95 | "image_url": "", | 96 | "image_url": "", | ||
96 | "is_organization": true, | 97 | "is_organization": true, | ||
97 | "name": "snow-hydrology", | 98 | "name": "snow-hydrology", | ||
98 | "state": "active", | 99 | "state": "active", | ||
99 | "title": "Snow Hydrology", | 100 | "title": "Snow Hydrology", | ||
100 | "type": "organization" | 101 | "type": "organization" | ||
101 | }, | 102 | }, | ||
102 | "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | 103 | "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | ||
103 | "private": false, | 104 | "private": false, | ||
104 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 105 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
105 | \"EnviDat\"}", | 106 | \"EnviDat\"}", | ||
106 | "publication_state": "", | 107 | "publication_state": "", | ||
107 | "related_datasets": "", | 108 | "related_datasets": "", | ||
108 | "related_publications": "will be added once preprint is available", | 109 | "related_publications": "will be added once preprint is available", | ||
109 | "relationships_as_object": [], | 110 | "relationships_as_object": [], | ||
110 | "relationships_as_subject": [], | 111 | "relationships_as_subject": [], | ||
111 | "resource_type": "dataset", | 112 | "resource_type": "dataset", | ||
112 | "resource_type_general": "dataset", | 113 | "resource_type_general": "dataset", | ||
113 | "resources": [ | 114 | "resources": [ | ||
114 | { | 115 | { | ||
115 | "cache_last_updated": null, | 116 | "cache_last_updated": null, | ||
116 | "cache_url": null, | 117 | "cache_url": null, | ||
117 | "created": "2021-08-24T20:08:46.228754", | 118 | "created": "2021-08-24T20:08:46.228754", | ||
118 | "description": "", | 119 | "description": "", | ||
119 | "doi": "", | 120 | "doi": "", | ||
120 | "format": "", | 121 | "format": "", | ||
121 | "hash": "", | 122 | "hash": "", | ||
122 | "id": "f1891668-63b6-4449-add0-69bef67379f0", | 123 | "id": "f1891668-63b6-4449-add0-69bef67379f0", | ||
123 | "last_modified": null, | 124 | "last_modified": null, | ||
124 | "metadata_modified": "2021-08-24T20:08:46.206370", | 125 | "metadata_modified": "2021-08-24T20:08:46.206370", | ||
125 | "mimetype": null, | 126 | "mimetype": null, | ||
126 | "mimetype_inner": null, | 127 | "mimetype_inner": null, | ||
127 | "name": "", | 128 | "name": "", | ||
128 | "package_id": "44750187-ae80-49ef-b2ae-360e624d89f8", | 129 | "package_id": "44750187-ae80-49ef-b2ae-360e624d89f8", | ||
129 | "position": 0, | 130 | "position": 0, | ||
130 | "publication_state": "", | 131 | "publication_state": "", | ||
131 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 132 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
132 | \"\"}", | 133 | \"\"}", | ||
133 | "resource_type": null, | 134 | "resource_type": null, | ||
134 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 135 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
135 | \"shared_secret\": \"\"}", | 136 | \"shared_secret\": \"\"}", | ||
136 | "size": null, | 137 | "size": null, | ||
137 | "state": "active", | 138 | "state": "active", | ||
138 | "url": "", | 139 | "url": "", | ||
139 | "url_type": null | 140 | "url_type": null | ||
140 | } | 141 | } | ||
141 | ], | 142 | ], | ||
142 | "spatial": | 143 | "spatial": | ||
143 | 898438,46.544946016020575],[8.309097290039062,46.544946016020575]]]}", | 144 | 898438,46.544946016020575],[8.309097290039062,46.544946016020575]]]}", | ||
144 | "spatial_info": "Switzerland", | 145 | "spatial_info": "Switzerland", | ||
145 | "state": "active", | 146 | "state": "active", | ||
146 | "subtitle": "", | 147 | "subtitle": "", | ||
147 | "tags": [ | 148 | "tags": [ | ||
148 | { | 149 | { | ||
149 | "display_name": "CLIMATE CHANGE IMPACT", | 150 | "display_name": "CLIMATE CHANGE IMPACT", | ||
150 | "id": "60cf5f04-279b-4bb8-9608-7b85649babfa", | 151 | "id": "60cf5f04-279b-4bb8-9608-7b85649babfa", | ||
151 | "name": "CLIMATE CHANGE IMPACT", | 152 | "name": "CLIMATE CHANGE IMPACT", | ||
152 | "state": "active", | 153 | "state": "active", | ||
153 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
154 | }, | 155 | }, | ||
155 | { | 156 | { | ||
156 | "display_name": "CRYOSPHERE", | 157 | "display_name": "CRYOSPHERE", | ||
157 | "id": "eb8660b5-2ad3-469d-bafe-a72285155527", | 158 | "id": "eb8660b5-2ad3-469d-bafe-a72285155527", | ||
158 | "name": "CRYOSPHERE", | 159 | "name": "CRYOSPHERE", | ||
159 | "state": "active", | 160 | "state": "active", | ||
160 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
161 | }, | 162 | }, | ||
162 | { | 163 | { | ||
163 | "display_name": "NATURAL CLIMATE VARIABILITY", | 164 | "display_name": "NATURAL CLIMATE VARIABILITY", | ||
164 | "id": "02eb570d-2363-48e7-b7a4-ce692966be2b", | 165 | "id": "02eb570d-2363-48e7-b7a4-ce692966be2b", | ||
165 | "name": "NATURAL CLIMATE VARIABILITY", | 166 | "name": "NATURAL CLIMATE VARIABILITY", | ||
166 | "state": "active", | 167 | "state": "active", | ||
167 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
168 | }, | 169 | }, | ||
169 | { | 170 | { | ||
170 | "display_name": "RAIN-ON-SNOW", | 171 | "display_name": "RAIN-ON-SNOW", | ||
171 | "id": "4eab6bd4-e5e9-4e4b-b5a4-ea1ddcf9e18e", | 172 | "id": "4eab6bd4-e5e9-4e4b-b5a4-ea1ddcf9e18e", | ||
172 | "name": "RAIN-ON-SNOW", | 173 | "name": "RAIN-ON-SNOW", | ||
173 | "state": "active", | 174 | "state": "active", | ||
174 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
175 | }, | 176 | }, | ||
176 | { | 177 | { | ||
177 | "display_name": "SNOW WATER EQUIVALENT", | 178 | "display_name": "SNOW WATER EQUIVALENT", | ||
178 | "id": "87ab10f7-3e04-47ef-9159-830c167c0699", | 179 | "id": "87ab10f7-3e04-47ef-9159-830c167c0699", | ||
179 | "name": "SNOW WATER EQUIVALENT", | 180 | "name": "SNOW WATER EQUIVALENT", | ||
180 | "state": "active", | 181 | "state": "active", | ||
181 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
182 | }, | 183 | }, | ||
183 | { | 184 | { | ||
184 | "display_name": "UNCERTAINTY", | 185 | "display_name": "UNCERTAINTY", | ||
185 | "id": "923444da-46a4-4b76-9459-727a02802926", | 186 | "id": "923444da-46a4-4b76-9459-727a02802926", | ||
186 | "name": "UNCERTAINTY", | 187 | "name": "UNCERTAINTY", | ||
187 | "state": "active", | 188 | "state": "active", | ||
188 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
189 | } | 190 | } | ||
190 | ], | 191 | ], | ||
191 | "title": "Multiple realizations of daily snow water equivalent, | 192 | "title": "Multiple realizations of daily snow water equivalent, | ||
192 | surface water input and liquid precipitation projections for mid- and | 193 | surface water input and liquid precipitation projections for mid- and | ||
193 | late-century", | 194 | late-century", | ||
194 | "type": "dataset", | 195 | "type": "dataset", | ||
195 | "url": null, | 196 | "url": null, | ||
196 | "version": "1.0" | 197 | "version": "1.0" | ||
197 | } | 198 | } |