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  "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"\", 
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\"affiliation_03\": \"\", \"email\": \"michael.haugeneder@slf.ch\", 
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\"affiliation_03\": \"\", \"email\": \"michael.haugeneder@slf.ch\", 
            
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\"given_name\": \"Michael\", \"identifier\": \"0000-0003-3228-9868\", 
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\"given_name\": \"Michael\", \"identifier\": \"0000-0003-3228-9868\", 
            
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\"name\": \"Haugeneder\"}, {\"affiliation\": \"SLF\", 
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\"name\": \"Haugeneder\"}, {\"affiliation\": \"SLF\", 
            
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\"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": 
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\"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": 
            
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\"lehning@slf.ch\", \"given_name\": \"Michael\", \"identifier\": 
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\"lehning@slf.ch\", \"given_name\": \"Michael\", \"identifier\": 
            
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\"0000-0002-8442-0875\", \"name\": \"Lehning\"}, {\"affiliation\": 
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\"0000-0002-8442-0875\", \"name\": \"Lehning\"}, {\"affiliation\": 
            
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\"SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
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\"SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"email\": \"mott@slf.ch\", \"given_name\": \"Rebecca\", 
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\"email\": \"mott@slf.ch\", \"given_name\": \"Rebecca\", 
            
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\"identifier\": \"\", \"name\": \"Mott\"}]",
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\"identifier\": \"\", \"name\": \"Mott\"}]",
            
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  "author_email": null,
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  "creator_user_id": "ebd22060-c56d-419b-a56e-9e171f19e7e5",
            
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  "date": "[{\"date\": \"2021-05-21\", \"date_type\": \"collected\", 
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  "date": "[{\"date\": \"2021-05-21\", \"date_type\": \"collected\", 
            
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\"end_date\": \"2021-06-11\"}]",
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\"end_date\": \"2021-06-11\"}]",
            
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  "doi": "10.16904/envidat.399",
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  "doi": "10.16904/envidat.399",
            
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  "funding": "[{\"grant_number\": \"188554\", \"institution\": 
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  "funding": "[{\"grant_number\": \"188554\", \"institution\": 
            
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\"SNF\", \"institution_url\": 
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\"SNF\", \"institution_url\": 
            
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\"https://data.snf.ch/grants/grant/188554\"}]",
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\"https://data.snf.ch/grants/grant/188554\"}]",
            
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  "id": "b060a56e-7c4f-4291-ac8d-c4d492455c67",
            
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  "language": "en",
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  "language": "en",
            
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  "license_id": "wsl-data",
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  "license_id": "wsl-data",
            
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  "license_title": "WSL Data Policy",
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  "license_title": "WSL Data Policy",
            
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  "license_url": 
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  "license_url": 
            
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ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
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ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
            
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  "maintainer": "{\"affiliation\": \"SLF\", \"email\": 
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  "maintainer": "{\"affiliation\": \"SLF\", \"email\": 
            
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\"michael.haugeneder@slf.ch\", \"given_name\": \"Michael\", 
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\"michael.haugeneder@slf.ch\", \"given_name\": \"Michael\", 
            
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\"identifier\": \"0000-0003-3228-9868\", \"name\": \"Haugeneder\"}",
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\"identifier\": \"0000-0003-3228-9868\", \"name\": \"Haugeneder\"}",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-05-05T08:07:30.565750",
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  "metadata_created": "2023-05-05T08:07:30.565750",
            
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  "metadata_modified": "2024-05-21T12:39:06.196579",
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  "metadata_modified": "2024-05-21T14:21:50.475354",
            
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  "name": "turbulence-patchy-snow-cover",
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  "name": "turbulence-patchy-snow-cover",
            
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  "notes": "This dataset contains the raw data that is analyzed in the 
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  "notes": "This dataset contains the raw data that is analyzed in the 
            
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publication entitled \"Turbulence in The Strongly Heterogeneous 
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publication entitled \"Turbulence in The Strongly Heterogeneous 
            
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Near-Surface Boundary Layer over Patchy Snow\". Please find 
37
Near-Surface Boundary Layer over Patchy Snow\". Please find 
            
38
information on the individual data files in the description of the 
38
information on the individual data files in the description of the 
            
t
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files.",
t
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files.\nThe data was recorded during a comprehensive field campaign in 
            
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May and June 2021 at D\u00fcrrboden at the end of Dischma valley close 
            
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to Davos (Graub\u00fcnden, CH).",
            
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  "num_resources": 6,
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  "num_resources": 6,
            
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  "num_tags": 5,
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  "num_tags": 5,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2021-08-23T15:25:48.676190",
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    "created": "2021-08-23T15:25:48.676190",
            
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    "description": "The research group \u00abSnow Hydrology\u00bb 
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    "description": "The research group \u00abSnow Hydrology\u00bb 
            
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investigates snow as a component of the hydrological cycle. In the 
48
investigates snow as a component of the hydrological cycle. In the 
            
47
Alps a significant percentage of precipitation comes in the form of 
49
Alps a significant percentage of precipitation comes in the form of 
            
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snow. The timing of snow melt thus influences the annual dynamics of 
50
snow. The timing of snow melt thus influences the annual dynamics of 
            
49
runoff from alpine watersheds. Of particular interest for our research 
51
runoff from alpine watersheds. Of particular interest for our research 
            
50
is to enhance estimations of snow water resources and subsequent melt 
52
is to enhance estimations of snow water resources and subsequent melt 
            
51
water discharge.\r\n\r\nThe research group covers a broad range of 
53
water discharge.\r\n\r\nThe research group covers a broad range of 
            
52
projects and methods. The latest measuring techniques are used to 
54
projects and methods. The latest measuring techniques are used to 
            
53
investigate snow distribution patterns in alpine terrain, e.g. laser 
55
investigate snow distribution patterns in alpine terrain, e.g. laser 
            
54
scanning or radar technology. We use different types of numerical 
56
scanning or radar technology. We use different types of numerical 
            
55
models to calculate snow water resources based on input data from 
57
models to calculate snow water resources based on input data from 
            
56
meteorological monitoring networks. These models are being used to 
58
meteorological monitoring networks. These models are being used to 
            
57
predict the consequences of climate change on the water balance of 
59
predict the consequences of climate change on the water balance of 
            
58
mountain watersheds. The models also constitute a valuable tool for 
60
mountain watersheds. The models also constitute a valuable tool for 
            
59
our operational services, such as periodic snow hydrological 
61
our operational services, such as periodic snow hydrological 
            
60
bulletins, which contribute to the federal flood prevention and 
62
bulletins, which contribute to the federal flood prevention and 
            
61
forecasting system.\r\n\r\nThe research group \u00abSnow 
63
forecasting system.\r\n\r\nThe research group \u00abSnow 
            
62
Hydrology\u00bb is based in Davos and ensures the link between other 
64
Hydrology\u00bb is based in Davos and ensures the link between other 
            
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Davosian research groups and the research unit \u201dMountain 
65
Davosian research groups and the research unit \u201dMountain 
            
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Hydrology and Mass Movements\u201d in Birmensdorf.",
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Hydrology and Mass Movements\u201d in Birmensdorf.",
            
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    "image_url": "",
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    "image_url": "",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "snow-hydrology",
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    "name": "snow-hydrology",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Snow Hydrology",
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    "title": "Snow Hydrology",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386",
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  "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386",
            
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  "private": false,
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  "private": false,
            
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  "publication": "{\"publication_year\": \"2023\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2023\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
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  "publication_state": "published",
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  "publication_state": "published",
            
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  "related_datasets": "",
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  "related_datasets": "",
            
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  "related_publications": " 
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  "related_publications": " 
            
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https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:35982",
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https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:35982",
            
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  "resource_type": "dataset",
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  "resource_type": "dataset",
            
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weather station (AWS). Instrument is Young Model 81000",
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