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On December 8, 2021 at 3:43:56 PM UTC, Administrator:
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Changed value of field
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in Modeling snow saltation: the effect of grain size and interparticle cohesion
f | 1 | { | f | 1 | { |
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5 | \"daniela.britomelo@epfl.ch\", \"given_name\": \"Daniela\", | 5 | \"daniela.britomelo@epfl.ch\", \"given_name\": \"Daniela\", | ||
6 | \"identifier\": \"0000-0003-1685-9197\", \"name\": \"Brito Melo\"}, | 6 | \"identifier\": \"0000-0003-1685-9197\", \"name\": \"Brito Melo\"}, | ||
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9 | \"publication\"], \"email\": \"varun.sharma@epfl.ch\", \"given_name\": | 9 | \"publication\"], \"email\": \"varun.sharma@epfl.ch\", \"given_name\": | ||
10 | \"Varun\", \"identifier\": \"\", \"name\": \"Sharma\"}, | 10 | \"Varun\", \"identifier\": \"\", \"name\": \"Sharma\"}, | ||
11 | {\"affiliation\": \"UCLA\", \"affiliation_02\": \"\", | 11 | {\"affiliation\": \"UCLA\", \"affiliation_02\": \"\", | ||
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13 | \"software\", \"publication\"], \"email\": | 13 | \"software\", \"publication\"], \"email\": | ||
14 | \"francesco.comola@gmail.com\", \"given_name\": \"Francesco\", | 14 | \"francesco.comola@gmail.com\", \"given_name\": \"Francesco\", | ||
15 | \"identifier\": \"0000-0002-3867-732X \", \"name\": \"Comola\"}, | 15 | \"identifier\": \"0000-0002-3867-732X \", \"name\": \"Comola\"}, | ||
16 | {\"affiliation\": \"CRYOS, ENAC, EPFL\", \"affiliation_02\": \"\", | 16 | {\"affiliation\": \"CRYOS, ENAC, EPFL\", \"affiliation_02\": \"\", | ||
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18 | \"publication\"], \"email\": \"armin.sigmund@epfl.ch\", | 18 | \"publication\"], \"email\": \"armin.sigmund@epfl.ch\", | ||
19 | \"given_name\": \"Armin\", \"identifier\": \"0000-0003-3587-1132\", | 19 | \"given_name\": \"Armin\", \"identifier\": \"0000-0003-3587-1132\", | ||
20 | \"name\": \"Sigmund\"}, {\"affiliation\": \"CRYOS, ENAC, EPFL\", | 20 | \"name\": \"Sigmund\"}, {\"affiliation\": \"CRYOS, ENAC, EPFL\", | ||
21 | \"affiliation_02\": \"SLF / WSL\", \"affiliation_03\": \"\", | 21 | \"affiliation_02\": \"SLF / WSL\", \"affiliation_03\": \"\", | ||
22 | \"data_credit\": [\"publication\", \"supervision\"], \"email\": | 22 | \"data_credit\": [\"publication\", \"supervision\"], \"email\": | ||
23 | \"lehning@slf.ch\", \"given_name\": \"Michael\", \"identifier\": | 23 | \"lehning@slf.ch\", \"given_name\": \"Michael\", \"identifier\": | ||
24 | \"0000-0002-8442-0875\", \"name\": \"Lehning\"}]", | 24 | \"0000-0002-8442-0875\", \"name\": \"Lehning\"}]", | ||
25 | "author_email": null, | 25 | "author_email": null, | ||
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27 | "date": "[{\"date\": \"2021-05-07\", \"date_type\": \"created\", | 27 | "date": "[{\"date\": \"2021-05-07\", \"date_type\": \"created\", | ||
28 | \"end_date\": \"\"}]", | 28 | \"end_date\": \"\"}]", | ||
29 | "doi": "10.16904/envidat.263", | 29 | "doi": "10.16904/envidat.263", | ||
30 | "funding": "[{\"grant_number\": \"179130\", \"institution\": \"Swiss | 30 | "funding": "[{\"grant_number\": \"179130\", \"institution\": \"Swiss | ||
31 | National Science Foundation\", \"institution_url\": | 31 | National Science Foundation\", \"institution_url\": | ||
32 | \"{http://p3.snf.ch/Project-179130\"}]", | 32 | \"{http://p3.snf.ch/Project-179130\"}]", | ||
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38 | "license_title": "ODbL with Database Contents License (DbCL)", | 38 | "license_title": "ODbL with Database Contents License (DbCL)", | ||
39 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | 39 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | ||
40 | "maintainer": "{\"affiliation\": \"EPFL\", \"email\": | 40 | "maintainer": "{\"affiliation\": \"EPFL\", \"email\": | ||
41 | \"daniela.britomelo@epfl.ch\", \"given_name\": \"Daniela\", | 41 | \"daniela.britomelo@epfl.ch\", \"given_name\": \"Daniela\", | ||
42 | \"identifier\": \"0000-0003-1685-9197\", \"name\": \"Brito Melo\"}", | 42 | \"identifier\": \"0000-0003-1685-9197\", \"name\": \"Brito Melo\"}", | ||
43 | "maintainer_email": null, | 43 | "maintainer_email": null, | ||
44 | "metadata_created": "2021-05-07T12:43:25.454904", | 44 | "metadata_created": "2021-05-07T12:43:25.454904", | ||
n | 45 | "metadata_modified": "2021-12-08T15:20:57.515989", | n | 45 | "metadata_modified": "2021-12-08T15:43:56.065577", |
46 | "name": | 46 | "name": | ||
47 | g-snow-saltation-the-effect-of-grain-size-and-interparticle-cohesion", | 47 | g-snow-saltation-the-effect-of-grain-size-and-interparticle-cohesion", | ||
48 | "notes": "This dataset includes the parallel application and the | 48 | "notes": "This dataset includes the parallel application and the | ||
49 | main results supporting the research article \"Modeling snow | 49 | main results supporting the research article \"Modeling snow | ||
50 | saltation: the effect of grain size and interparticle cohesion\" | 50 | saltation: the effect of grain size and interparticle cohesion\" | ||
51 | published at the Journal of Geophysical Research: Atmospheres.\r\nThe | 51 | published at the Journal of Geophysical Research: Atmospheres.\r\nThe | ||
52 | code is a flow solver based on the Large Eddy Simulation (LES) | 52 | code is a flow solver based on the Large Eddy Simulation (LES) | ||
53 | technique coupled with a Lagrangian Stochastic Model (LSM). The | 53 | technique coupled with a Lagrangian Stochastic Model (LSM). The | ||
54 | interaction of snow particles with the bed is modeled with statistical | 54 | interaction of snow particles with the bed is modeled with statistical | ||
55 | and physically-based models for aerodynamic entrainment, rebound and | 55 | and physically-based models for aerodynamic entrainment, rebound and | ||
56 | splash, following the works of Groot Zwaaftink et al. (2014), Comola | 56 | splash, following the works of Groot Zwaaftink et al. (2014), Comola | ||
57 | and Lehning (2017) and Sharma et al. (2018). This algorithm was also | 57 | and Lehning (2017) and Sharma et al. (2018). This algorithm was also | ||
58 | used by Sigmund et al. (2021) to model snow sublimation.", | 58 | used by Sigmund et al. (2021) to model snow sublimation.", | ||
59 | "num_resources": 2, | 59 | "num_resources": 2, | ||
60 | "num_tags": 5, | 60 | "num_tags": 5, | ||
61 | "organization": { | 61 | "organization": { | ||
62 | "approval_status": "approved", | 62 | "approval_status": "approved", | ||
63 | "created": "2016-11-17T12:24:20.447699", | 63 | "created": "2016-11-17T12:24:20.447699", | ||
64 | "description": "CRYOS is the EPFL laboratory of the WSL/SLF - EPFL | 64 | "description": "CRYOS is the EPFL laboratory of the WSL/SLF - EPFL | ||
65 | joint appointment for Prof. Michael Lehning. At his WSL side, Prof. | 65 | joint appointment for Prof. Michael Lehning. At his WSL side, Prof. | ||
66 | Michael Lehning is head of the research unit \"Snow and Permafrost\" | 66 | Michael Lehning is head of the research unit \"Snow and Permafrost\" | ||
67 | at SLF in Davos.\r\n \r\n###General Mission\r\nThe laboratory of | 67 | at SLF in Davos.\r\n \r\n###General Mission\r\nThe laboratory of | ||
68 | cryospheric sciences investigates the processes that shape snow and | 68 | cryospheric sciences investigates the processes that shape snow and | ||
69 | ice in mountains and polar regions. In particular, snow cover | 69 | ice in mountains and polar regions. In particular, snow cover | ||
70 | processes, snow-atmosphere interactions and mountain hydrology are in | 70 | processes, snow-atmosphere interactions and mountain hydrology are in | ||
71 | the focus of current research. This includes a strive for deeper | 71 | the focus of current research. This includes a strive for deeper | ||
72 | understanding of the complicated mass and energy exchange processes | 72 | understanding of the complicated mass and energy exchange processes | ||
73 | within, above and below a snow cover but also predictions of future | 73 | within, above and below a snow cover but also predictions of future | ||
74 | snow and ice in mountains and high latitudes. A newer work area is the | 74 | snow and ice in mountains and high latitudes. A newer work area is the | ||
75 | risk management and optimization in the field of renewable energy | 75 | risk management and optimization in the field of renewable energy | ||
76 | production based on our detailed understanding of water, wind and | 76 | production based on our detailed understanding of water, wind and | ||
77 | radiation processes in mountains.\r\n\r\nMore information: | 77 | radiation processes in mountains.\r\n\r\nMore information: | ||
78 | http://cryos.epfl.ch/", | 78 | http://cryos.epfl.ch/", | ||
79 | "id": "b2ef52fe-c56a-4973-8309-24837f3848ed", | 79 | "id": "b2ef52fe-c56a-4973-8309-24837f3848ed", | ||
80 | "image_url": "2019-03-26-151807.125593CRYOSLogoFinal.jpg", | 80 | "image_url": "2019-03-26-151807.125593CRYOSLogoFinal.jpg", | ||
81 | "is_organization": true, | 81 | "is_organization": true, | ||
82 | "name": "cryos", | 82 | "name": "cryos", | ||
83 | "state": "active", | 83 | "state": "active", | ||
84 | "title": "CRYOS", | 84 | "title": "CRYOS", | ||
85 | "type": "organization" | 85 | "type": "organization" | ||
86 | }, | 86 | }, | ||
87 | "owner_org": "b2ef52fe-c56a-4973-8309-24837f3848ed", | 87 | "owner_org": "b2ef52fe-c56a-4973-8309-24837f3848ed", | ||
88 | "private": false, | 88 | "private": false, | ||
89 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 89 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
90 | \"EnviDat\"}", | 90 | \"EnviDat\"}", | ||
t | 91 | "publication_state": "approved", | t | 91 | "publication_state": "published", |
92 | "related_datasets": "", | 92 | "related_datasets": "", | ||
93 | "related_publications": "* Comola, F., Lehning, M. (2017). Energy- | 93 | "related_publications": "* Comola, F., Lehning, M. (2017). Energy- | ||
94 | and momentum-conserving model of splash entrainment in sand and snow | 94 | and momentum-conserving model of splash entrainment in sand and snow | ||
95 | saltation. Geophysical Research Letters, 44 (3), | 95 | saltation. Geophysical Research Letters, 44 (3), | ||
96 | 1601\u20131609.\r\n\r\n* Groot Zwaaftink, C. D., Diebold, M., | 96 | 1601\u20131609.\r\n\r\n* Groot Zwaaftink, C. D., Diebold, M., | ||
97 | Horender, S., Overney, J., Lieberherr, G., Parlange, M. B., Lehning, | 97 | Horender, S., Overney, J., Lieberherr, G., Parlange, M. B., Lehning, | ||
98 | M. (2014). Modelling Small-Scale Drifting Snow with a Lagrangian | 98 | M. (2014). Modelling Small-Scale Drifting Snow with a Lagrangian | ||
99 | Stochastic Model Based on Large-Eddy Simulations. Boundary-Layer | 99 | Stochastic Model Based on Large-Eddy Simulations. Boundary-Layer | ||
100 | Meteorology, 153 (1), 117\u2013139.\r\n\r\n* Sharma, V., Comola, F., | 100 | Meteorology, 153 (1), 117\u2013139.\r\n\r\n* Sharma, V., Comola, F., | ||
101 | Lehning, M. (2018). On the suitability of the Thorpe\u2013Mason model | 101 | Lehning, M. (2018). On the suitability of the Thorpe\u2013Mason model | ||
102 | for calculating sublimation of saltating snow. The Cryosphere, 12 | 102 | for calculating sublimation of saltating snow. The Cryosphere, 12 | ||
103 | (11), 3499\u20133509.\r\n\r\n* Sigmund, A., Dujardin, J., Comola, F., | 103 | (11), 3499\u20133509.\r\n\r\n* Sigmund, A., Dujardin, J., Comola, F., | ||
104 | Sharma, V., Huwald, H., Melo, D. B., Hirasawa, N., Nishimura, K., | 104 | Sharma, V., Huwald, H., Melo, D. B., Hirasawa, N., Nishimura, K., | ||
105 | Lehning, M. (2021). Evidence of Strong Flux Underestimation by Bulk | 105 | Lehning, M. (2021). Evidence of Strong Flux Underestimation by Bulk | ||
106 | Parametrizations During Drifting and Blowing Snow. Boundary-Layer | 106 | Parametrizations During Drifting and Blowing Snow. Boundary-Layer | ||
107 | Meteorology.", | 107 | Meteorology.", | ||
108 | "relationships_as_object": [], | 108 | "relationships_as_object": [], | ||
109 | "relationships_as_subject": [], | 109 | "relationships_as_subject": [], | ||
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116 | "created": "2021-05-07T12:44:02.226881", | 116 | "created": "2021-05-07T12:44:02.226881", | ||
117 | "description": "Simulation results presented in Figures 1 to 11 | 117 | "description": "Simulation results presented in Figures 1 to 11 | ||
118 | of the research article \"Modeling snow saltattion: the effect of | 118 | of the research article \"Modeling snow saltattion: the effect of | ||
119 | grain size and interparticle cohesion\" in csv format.", | 119 | grain size and interparticle cohesion\" in csv format.", | ||
120 | "doi": "", | 120 | "doi": "", | ||
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146 | "created": "2021-11-30T13:12:53.733458", | 146 | "created": "2021-11-30T13:12:53.733458", | ||
147 | "description": "Source code used to perform the analysis | 147 | "description": "Source code used to perform the analysis | ||
148 | presented at the research article \"Modeling snow saltation: the | 148 | presented at the research article \"Modeling snow saltation: the | ||
149 | effect of grain size and interparticle cohesion\". The source code is | 149 | effect of grain size and interparticle cohesion\". The source code is | ||
150 | also available at the WSL/SLF GitLab Repository | 150 | also available at the WSL/SLF GitLab Repository | ||
151 | (https://gitlabext.wsl.ch/atmospheric-models/les-lsm).", | 151 | (https://gitlabext.wsl.ch/atmospheric-models/les-lsm).", | ||
152 | "doi": "", | 152 | "doi": "", | ||
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160 | "name": "LES-LSM code", | 160 | "name": "LES-LSM code", | ||
161 | "package_id": "c4543b3d-d898-4364-8194-bb56f2fe41f9", | 161 | "package_id": "c4543b3d-d898-4364-8194-bb56f2fe41f9", | ||
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173 | "url_type": "upload" | 173 | "url_type": "upload" | ||
174 | } | 174 | } | ||
175 | ], | 175 | ], | ||
176 | "spatial": | 176 | "spatial": | ||
177 | 12158203125,45.73046890338625],[5.196533203125,45.73046890338625]]]}", | 177 | 12158203125,45.73046890338625],[5.196533203125,45.73046890338625]]]}", | ||
178 | "spatial_info": "Switzerland", | 178 | "spatial_info": "Switzerland", | ||
179 | "state": "active", | 179 | "state": "active", | ||
180 | "subtitle": "", | 180 | "subtitle": "", | ||
181 | "tags": [ | 181 | "tags": [ | ||
182 | { | 182 | { | ||
183 | "display_name": "DRIFTING SNOW", | 183 | "display_name": "DRIFTING SNOW", | ||
184 | "id": "4feec802-2bd4-4b97-92c1-4e619f332a52", | 184 | "id": "4feec802-2bd4-4b97-92c1-4e619f332a52", | ||
185 | "name": "DRIFTING SNOW", | 185 | "name": "DRIFTING SNOW", | ||
186 | "state": "active", | 186 | "state": "active", | ||
187 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
188 | }, | 188 | }, | ||
189 | { | 189 | { | ||
190 | "display_name": "LARGE EDDY SIMULATIONS", | 190 | "display_name": "LARGE EDDY SIMULATIONS", | ||
191 | "id": "b6f2c58b-c9cd-4fbc-b045-a7e50143de09", | 191 | "id": "b6f2c58b-c9cd-4fbc-b045-a7e50143de09", | ||
192 | "name": "LARGE EDDY SIMULATIONS", | 192 | "name": "LARGE EDDY SIMULATIONS", | ||
193 | "state": "active", | 193 | "state": "active", | ||
194 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
195 | }, | 195 | }, | ||
196 | { | 196 | { | ||
197 | "display_name": "MIXED GRAIN TRANSPORT", | 197 | "display_name": "MIXED GRAIN TRANSPORT", | ||
198 | "id": "920ba817-fe3f-4c2e-84c1-47a05392acdc", | 198 | "id": "920ba817-fe3f-4c2e-84c1-47a05392acdc", | ||
199 | "name": "MIXED GRAIN TRANSPORT", | 199 | "name": "MIXED GRAIN TRANSPORT", | ||
200 | "state": "active", | 200 | "state": "active", | ||
201 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
202 | }, | 202 | }, | ||
203 | { | 203 | { | ||
204 | "display_name": "SALTATION", | 204 | "display_name": "SALTATION", | ||
205 | "id": "76e753a8-1532-40fa-a348-6c4138284f2b", | 205 | "id": "76e753a8-1532-40fa-a348-6c4138284f2b", | ||
206 | "name": "SALTATION", | 206 | "name": "SALTATION", | ||
207 | "state": "active", | 207 | "state": "active", | ||
208 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
209 | }, | 209 | }, | ||
210 | { | 210 | { | ||
211 | "display_name": "SNOW COHESION", | 211 | "display_name": "SNOW COHESION", | ||
212 | "id": "f29ba6e0-a1b3-40b6-8905-c05e34804401", | 212 | "id": "f29ba6e0-a1b3-40b6-8905-c05e34804401", | ||
213 | "name": "SNOW COHESION", | 213 | "name": "SNOW COHESION", | ||
214 | "state": "active", | 214 | "state": "active", | ||
215 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
216 | } | 216 | } | ||
217 | ], | 217 | ], | ||
218 | "title": "Modeling snow saltation: the effect of grain size and | 218 | "title": "Modeling snow saltation: the effect of grain size and | ||
219 | interparticle cohesion", | 219 | interparticle cohesion", | ||
220 | "type": "dataset", | 220 | "type": "dataset", | ||
221 | "url": null, | 221 | "url": null, | ||
222 | "version": "1.0" | 222 | "version": "1.0" | ||
223 | } | 223 | } |