Changes
On May 16, 2022 at 11:45:05 AM UTC,
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Updated description of Quantifying Surface Heat Exchange over Heterogeneous Land Surfaces at Ultra-High Spatio-Temporal Resolution from
We present a novel method for quantifying surface heat exchange over heterogeneous land surfaces at ultra-high spatio-temporal resolution. Therefore, a thermal infrared camera records 30Hz sequences of infrared frames of upright screens, that are deployed across the transition from bare ground to snow. The screen's surface temperature serves as a proxy for the local air temperature. In addition to information on the stratification of the near-surface atmospheric layer, estimations of the 2D wind field can be obtained evaluating the temperature dynamics. Here you find the data and the code used to create the plots in the publication. After finishing the review process, the dataset might change.
toWe present a novel method for quantifying surface heat exchange over heterogeneous land surfaces at ultra-high spatio-temporal resolution. Therefore, a thermal infrared camera records 30Hz sequences of infrared frames of upright screens, that are deployed across the transition from bare ground to snow. The screen's surface temperature serves as a proxy for the local air temperature. In addition to information on the stratification of the near-surface atmospheric layer, estimations of the 2D wind field can be obtained evaluating the temperature dynamics. Here you find the data and the documented code used to create the plots in the publication.
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Changed value of field
related_publications
toA Novel Method to Quantify Near-Surface Boundary-Layer Dynamics at Ultra-High Spatio-Temporal Resolution; submitted and under review
in Quantifying Surface Heat Exchange over Heterogeneous Land Surfaces at Ultra-High Spatio-Temporal Resolution
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"EPFL\", | 2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"EPFL\", | ||
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4 | \"software\", \"publication\"], \"email\": | 4 | \"software\", \"publication\"], \"email\": | ||
5 | \"michael.haugeneder@slf.ch\", \"given_name\": \"Michael\", | 5 | \"michael.haugeneder@slf.ch\", \"given_name\": \"Michael\", | ||
6 | \"identifier\": \"0000-0003-3228-9868\", \"name\": \"Haugeneder\"}, | 6 | \"identifier\": \"0000-0003-3228-9868\", \"name\": \"Haugeneder\"}, | ||
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8 | \"affiliation_03\": \"\", \"email\": \"lehning@slf.ch\", | 8 | \"affiliation_03\": \"\", \"email\": \"lehning@slf.ch\", | ||
9 | \"given_name\": \"Michael\", \"identifier\": \"\", \"name\": | 9 | \"given_name\": \"Michael\", \"identifier\": \"\", \"name\": | ||
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11 | \"affiliation_03\": \"\", \"email\": \"jonas@slf.ch\", \"given_name\": | 11 | \"affiliation_03\": \"\", \"email\": \"jonas@slf.ch\", \"given_name\": | ||
12 | \"Tobias\", \"identifier\": \"\", \"name\": \"Jonas\"}, | 12 | \"Tobias\", \"identifier\": \"\", \"name\": \"Jonas\"}, | ||
13 | {\"affiliation\": \"SLF\", \"affiliation_02\": \"\", | 13 | {\"affiliation\": \"SLF\", \"affiliation_02\": \"\", | ||
14 | \"affiliation_03\": \"\", \"email\": \"mott@slf.ch\", \"given_name\": | 14 | \"affiliation_03\": \"\", \"email\": \"mott@slf.ch\", \"given_name\": | ||
15 | \"Rebecca\", \"identifier\": \"\", \"name\": \"Mott\"}]", | 15 | \"Rebecca\", \"identifier\": \"\", \"name\": \"Mott\"}]", | ||
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18 | "date": "[{\"date\": \"2021-04-28\", \"date_type\": \"collected\", | 18 | "date": "[{\"date\": \"2021-04-28\", \"date_type\": \"collected\", | ||
19 | \"end_date\": \"\"}]", | 19 | \"end_date\": \"\"}]", | ||
20 | "doi": "10.16904/envidat.299", | 20 | "doi": "10.16904/envidat.299", | ||
21 | "funding": "[{\"grant_number\": \"\", \"institution\": \"SNF\", | 21 | "funding": "[{\"grant_number\": \"\", \"institution\": \"SNF\", | ||
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27 | "license_id": "wsl-data", | 27 | "license_id": "wsl-data", | ||
28 | "license_title": "WSL Data Policy", | 28 | "license_title": "WSL Data Policy", | ||
29 | "license_url": | 29 | "license_url": | ||
30 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 30 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
31 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | 31 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | ||
32 | \"michael.haugeneder@slf.ch\", \"given_name\": \"Michael\", | 32 | \"michael.haugeneder@slf.ch\", \"given_name\": \"Michael\", | ||
33 | \"identifier\": \"0000-0003-3228-9868\", \"name\": \"Haugeneder\"}", | 33 | \"identifier\": \"0000-0003-3228-9868\", \"name\": \"Haugeneder\"}", | ||
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35 | "metadata_created": "2022-02-24T16:15:53.573278", | 35 | "metadata_created": "2022-02-24T16:15:53.573278", | ||
n | 36 | "metadata_modified": "2022-02-25T10:57:44.740286", | n | 36 | "metadata_modified": "2022-05-16T11:45:05.118395", |
37 | "name": "weird", | 37 | "name": "weird", | ||
38 | "notes": "We present a novel method for quantifying surface heat | 38 | "notes": "We present a novel method for quantifying surface heat | ||
39 | exchange over heterogeneous land surfaces at ultra-high | 39 | exchange over heterogeneous land surfaces at ultra-high | ||
40 | spatio-temporal resolution. Therefore, a thermal infrared camera | 40 | spatio-temporal resolution. Therefore, a thermal infrared camera | ||
41 | records 30Hz sequences of infrared frames of upright screens, that are | 41 | records 30Hz sequences of infrared frames of upright screens, that are | ||
42 | deployed across the transition from bare ground to snow. The screen's | 42 | deployed across the transition from bare ground to snow. The screen's | ||
43 | surface temperature serves as a proxy for the local air temperature. | 43 | surface temperature serves as a proxy for the local air temperature. | ||
44 | In addition to information on the stratification of the near-surface | 44 | In addition to information on the stratification of the near-surface | ||
45 | atmospheric layer, estimations of the 2D wind field can be obtained | 45 | atmospheric layer, estimations of the 2D wind field can be obtained | ||
46 | evaluating the temperature dynamics.\r\nHere you find the data and the | 46 | evaluating the temperature dynamics.\r\nHere you find the data and the | ||
n | 47 | code used to create the plots in the publication. After finishing the | n | 47 | documented code used to create the plots in the publication.", |
48 | review process, the dataset might change.", | ||||
49 | "num_resources": 3, | 48 | "num_resources": 3, | ||
50 | "num_tags": 8, | 49 | "num_tags": 8, | ||
51 | "organization": { | 50 | "organization": { | ||
52 | "approval_status": "approved", | 51 | "approval_status": "approved", | ||
53 | "created": "2021-08-23T15:25:48.676190", | 52 | "created": "2021-08-23T15:25:48.676190", | ||
54 | "description": "The research group \u00abSnow Hydrology\u00bb | 53 | "description": "The research group \u00abSnow Hydrology\u00bb | ||
55 | investigates snow as a component of the hydrological cycle. In the | 54 | investigates snow as a component of the hydrological cycle. In the | ||
56 | Alps a significant percentage of precipitation comes in the form of | 55 | Alps a significant percentage of precipitation comes in the form of | ||
57 | snow. The timing of snow melt thus influences the annual dynamics of | 56 | snow. The timing of snow melt thus influences the annual dynamics of | ||
58 | runoff from alpine watersheds. Of particular interest for our research | 57 | runoff from alpine watersheds. Of particular interest for our research | ||
59 | is to enhance estimations of snow water resources and subsequent melt | 58 | is to enhance estimations of snow water resources and subsequent melt | ||
60 | water discharge.\r\n\r\nThe research group covers a broad range of | 59 | water discharge.\r\n\r\nThe research group covers a broad range of | ||
61 | projects and methods. The latest measuring techniques are used to | 60 | projects and methods. The latest measuring techniques are used to | ||
62 | investigate snow distribution patterns in alpine terrain, e.g. laser | 61 | investigate snow distribution patterns in alpine terrain, e.g. laser | ||
63 | scanning or radar technology. We use different types of numerical | 62 | scanning or radar technology. We use different types of numerical | ||
64 | models to calculate snow water resources based on input data from | 63 | models to calculate snow water resources based on input data from | ||
65 | meteorological monitoring networks. These models are being used to | 64 | meteorological monitoring networks. These models are being used to | ||
66 | predict the consequences of climate change on the water balance of | 65 | predict the consequences of climate change on the water balance of | ||
67 | mountain watersheds. The models also constitute a valuable tool for | 66 | mountain watersheds. The models also constitute a valuable tool for | ||
68 | our operational services, such as periodic snow hydrological | 67 | our operational services, such as periodic snow hydrological | ||
69 | bulletins, which contribute to the federal flood prevention and | 68 | bulletins, which contribute to the federal flood prevention and | ||
70 | forecasting system.\r\n\r\nThe research group \u00abSnow | 69 | forecasting system.\r\n\r\nThe research group \u00abSnow | ||
71 | Hydrology\u00bb is based in Davos and ensures the link between other | 70 | Hydrology\u00bb is based in Davos and ensures the link between other | ||
72 | Davosian research groups and the research unit \u201dMountain | 71 | Davosian research groups and the research unit \u201dMountain | ||
73 | Hydrology and Mass Movements\u201d in Birmensdorf.", | 72 | Hydrology and Mass Movements\u201d in Birmensdorf.", | ||
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75 | "image_url": "", | 74 | "image_url": "", | ||
76 | "is_organization": true, | 75 | "is_organization": true, | ||
77 | "name": "snow-hydrology", | 76 | "name": "snow-hydrology", | ||
78 | "state": "active", | 77 | "state": "active", | ||
79 | "title": "Snow Hydrology", | 78 | "title": "Snow Hydrology", | ||
80 | "type": "organization" | 79 | "type": "organization" | ||
81 | }, | 80 | }, | ||
82 | "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | 81 | "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | ||
83 | "private": false, | 82 | "private": false, | ||
84 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 83 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
85 | \"EnviDat\"}", | 84 | \"EnviDat\"}", | ||
86 | "publication_state": "published", | 85 | "publication_state": "published", | ||
87 | "related_datasets": "", | 86 | "related_datasets": "", | ||
t | 88 | "related_publications": "Quantifying Surface Heat Exchange over | t | 87 | "related_publications": "A Novel Method to Quantify Near-Surface |
89 | Heterogeneous Land Surfaces at Ultra-High Spatio-Temporal Resolution; | 88 | Boundary-Layer Dynamics at Ultra-High Spatio-Temporal Resolution; | ||
90 | submitted and under review", | 89 | submitted and under review", | ||
91 | "relationships_as_object": [], | 90 | "relationships_as_object": [], | ||
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100 | "description": "Data measured with a 3D short-path ultrasonic | 99 | "description": "Data measured with a 3D short-path ultrasonic | ||
101 | anemometer in close vicinity to the screens. Note that the time stamps | 100 | anemometer in close vicinity to the screens. Note that the time stamps | ||
102 | are in local time (GMT+2).", | 101 | are in local time (GMT+2).", | ||
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130 | "description": "folder containing the source code for the WEIRD | 129 | "description": "folder containing the source code for the WEIRD | ||
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185 | ], | 184 | ], | ||
186 | "spatial": | 185 | "spatial": | ||
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188 | "spatial_info": "Switzerland", | 187 | "spatial_info": "Switzerland", | ||
189 | "state": "active", | 188 | "state": "active", | ||
190 | "subtitle": "", | 189 | "subtitle": "", | ||
191 | "tags": [ | 190 | "tags": [ | ||
192 | { | 191 | { | ||
193 | "display_name": "2D TEMPERATURE FIELD", | 192 | "display_name": "2D TEMPERATURE FIELD", | ||
194 | "id": "d55ac0d2-0bc0-46a7-889c-1b926d075511", | 193 | "id": "d55ac0d2-0bc0-46a7-889c-1b926d075511", | ||
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198 | }, | 197 | }, | ||
199 | { | 198 | { | ||
200 | "display_name": "2D WIND FIELD", | 199 | "display_name": "2D WIND FIELD", | ||
201 | "id": "660e5d4d-0c68-4484-a4f2-9d21b9029260", | 200 | "id": "660e5d4d-0c68-4484-a4f2-9d21b9029260", | ||
202 | "name": "2D WIND FIELD", | 201 | "name": "2D WIND FIELD", | ||
203 | "state": "active", | 202 | "state": "active", | ||
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205 | }, | 204 | }, | ||
206 | { | 205 | { | ||
207 | "display_name": "INFRARED THERMOGRAPHY", | 206 | "display_name": "INFRARED THERMOGRAPHY", | ||
208 | "id": "3c841345-45cd-4a99-9c34-69a891d5ea38", | 207 | "id": "3c841345-45cd-4a99-9c34-69a891d5ea38", | ||
209 | "name": "INFRARED THERMOGRAPHY", | 208 | "name": "INFRARED THERMOGRAPHY", | ||
210 | "state": "active", | 209 | "state": "active", | ||
211 | "vocabulary_id": null | 210 | "vocabulary_id": null | ||
212 | }, | 211 | }, | ||
213 | { | 212 | { | ||
214 | "display_name": "NEAR-SURFACE ATMOSPHERIC LAYER", | 213 | "display_name": "NEAR-SURFACE ATMOSPHERIC LAYER", | ||
215 | "id": "93a597d5-cb9f-43d2-b7ca-dd50a368608b", | 214 | "id": "93a597d5-cb9f-43d2-b7ca-dd50a368608b", | ||
216 | "name": "NEAR-SURFACE ATMOSPHERIC LAYER", | 215 | "name": "NEAR-SURFACE ATMOSPHERIC LAYER", | ||
217 | "state": "active", | 216 | "state": "active", | ||
218 | "vocabulary_id": null | 217 | "vocabulary_id": null | ||
219 | }, | 218 | }, | ||
220 | { | 219 | { | ||
221 | "display_name": "PATCHY SNOW COVER", | 220 | "display_name": "PATCHY SNOW COVER", | ||
222 | "id": "61d8a21a-8ef9-4900-8050-bf3e84c05fc5", | 221 | "id": "61d8a21a-8ef9-4900-8050-bf3e84c05fc5", | ||
223 | "name": "PATCHY SNOW COVER", | 222 | "name": "PATCHY SNOW COVER", | ||
224 | "state": "active", | 223 | "state": "active", | ||
225 | "vocabulary_id": null | 224 | "vocabulary_id": null | ||
226 | }, | 225 | }, | ||
227 | { | 226 | { | ||
228 | "display_name": "SNOW MELT", | 227 | "display_name": "SNOW MELT", | ||
229 | "id": "4452e5c9-c707-4c61-bd1c-28816181a043", | 228 | "id": "4452e5c9-c707-4c61-bd1c-28816181a043", | ||
230 | "name": "SNOW MELT", | 229 | "name": "SNOW MELT", | ||
231 | "state": "active", | 230 | "state": "active", | ||
232 | "vocabulary_id": null | 231 | "vocabulary_id": null | ||
233 | }, | 232 | }, | ||
234 | { | 233 | { | ||
235 | "display_name": "SNOW-ATMOSPHERE INTERACTIONS", | 234 | "display_name": "SNOW-ATMOSPHERE INTERACTIONS", | ||
236 | "id": "9d4df93a-3291-49a2-8c72-565088f48c09", | 235 | "id": "9d4df93a-3291-49a2-8c72-565088f48c09", | ||
237 | "name": "SNOW-ATMOSPHERE INTERACTIONS", | 236 | "name": "SNOW-ATMOSPHERE INTERACTIONS", | ||
238 | "state": "active", | 237 | "state": "active", | ||
239 | "vocabulary_id": null | 238 | "vocabulary_id": null | ||
240 | }, | 239 | }, | ||
241 | { | 240 | { | ||
242 | "display_name": "SURFACE HEAT EXCHANGE", | 241 | "display_name": "SURFACE HEAT EXCHANGE", | ||
243 | "id": "cb61d6bd-bf4d-4fd6-a8e2-8dbbbd90d418", | 242 | "id": "cb61d6bd-bf4d-4fd6-a8e2-8dbbbd90d418", | ||
244 | "name": "SURFACE HEAT EXCHANGE", | 243 | "name": "SURFACE HEAT EXCHANGE", | ||
245 | "state": "active", | 244 | "state": "active", | ||
246 | "vocabulary_id": null | 245 | "vocabulary_id": null | ||
247 | } | 246 | } | ||
248 | ], | 247 | ], | ||
249 | "title": "Quantifying Surface Heat Exchange over Heterogeneous Land | 248 | "title": "Quantifying Surface Heat Exchange over Heterogeneous Land | ||
250 | Surfaces at Ultra-High Spatio-Temporal Resolution", | 249 | Surfaces at Ultra-High Spatio-Temporal Resolution", | ||
251 | "type": "dataset", | 250 | "type": "dataset", | ||
252 | "url": null, | 251 | "url": null, | ||
253 | "version": "1.0" | 252 | "version": "1.0" | ||
254 | } | 253 | } |