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  "author": "[{\"name\": \"Mazzotti\", \"data_credit\": 
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  "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche 
            
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[\"collection\", \"curation\", \"publication\"], \"affiliation\": 
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Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"WSL Institute for Snow and Avalanche Research SLF\", 
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\"data_credit\": [\"collection\", \"curation\", \"publication\"], 
            
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\"affiliation_03\": \"\", \"given_name\": \"Giulia\", \"identifier\": 
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\"email\": \"giulia.mazzotti@slf.ch\", \"given_name\": \"Giulia\", 
            
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\"0000-0003-3857-7449\", \"email\": \"giulia.mazzotti@slf.ch\", 
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\"identifier\": \"0000-0003-3857-7449\", \"name\": \"Mazzotti\"}, 
            
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\"affiliation_02\": \"\"}, {\"name\": \"Malle\", \"data_credit\": 
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{\"affiliation\": \"University of Northumbria\", \"affiliation_02\": 
            
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[\"collection\", \"curation\"], \"affiliation\": \"University of 
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\"\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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Northumbria\", \"affiliation_03\": \"\", \"given_name\": \"Johanna\", 
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\"curation\"], \"email\": \"johanna.malle@northumbria.ac.uk\", 
            
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\"identifier\": \"0000-0002-6185-6449\", \"email\": 
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\"given_name\": \"Johanna\", \"identifier\": \"0000-0002-6185-6449\", 
            
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\"johanna.malle@northumbria.ac.uk\", \"affiliation_02\": \"\"}, 

            
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{\"name\": \"Jonas\", \"data_credit\": [\"publication\", 

            
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\"supervision\"], \"affiliation\": \"WSL Institute for Snow and 
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\"name\": \"Malle\"}, {\"affiliation\": \"WSL Institute for Snow and 
            
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Avalanche Research SLF\", \"affiliation_03\": \"\", \"given_name\": 
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Avalanche Research SLF\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": [\"publication\", 
            
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\"supervision\"], \"email\": \"jonas@slf.ch\", \"given_name\": 
            
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\"Tobias\", \"identifier\": \"0000-0003-0386-8676\", \"email\": 
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\"Tobias\", \"identifier\": \"0000-0003-0386-8676\", \"name\": 
            
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\"jonas@slf.ch\", \"affiliation_02\": \"\"}]",
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\"Jonas\"}]",
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "e0656282-3e6c-40f0-a967-c78d92e9392a",
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  "creator_user_id": "e0656282-3e6c-40f0-a967-c78d92e9392a",
            
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  "date": "[{\"date\": \"2018-01-01\", \"date_type\": \"collected\", 
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  "date": "[{\"date\": \"2018-01-01\", \"date_type\": \"collected\", 
            
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\"end_date\": \"2019-05-31\"}]",
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\"end_date\": \"2019-05-31\"}]",
            
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  "doi": "10.16904/envidat.162",
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  "doi": "10.16904/envidat.162",
            
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  "funding": "[{\"grant_number\": \"169213\", \"institution\": \"Swiss 
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  "funding": "[{\"grant_number\": \"169213\", \"institution\": \"Swiss 
            
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National Science Foundation SNSF\", \"institution_url\": 
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National Science Foundation SNSF\", \"institution_url\": 
            
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\"http://www.snf.ch/en/Pages/default.aspx\"}, {\"grant_number\": 
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\"http://www.snf.ch/en/Pages/default.aspx\"}, {\"grant_number\": 
            
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\"IME4Rad\", \"institution\": \"INTERACT \", \"institution_url\": 
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\"IME4Rad\", \"institution\": \"INTERACT \", \"institution_url\": 
            
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\"https://eu-interact.org/\"}]",
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\"https://eu-interact.org/\"}]",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "0fb10027-6f49-4953-8683-76fc83ea1154",
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  "id": "0fb10027-6f49-4953-8683-76fc83ea1154",
            
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  "isopen": false,
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  "isopen": false,
            
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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\": \"WSL Institute for Snow and 
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  "maintainer": "{\"affiliation\": \"WSL Institute for Snow and 
            
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Avalanche Research SLF\", \"identifier\": \"0000-0003-3857-7449\", 
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Avalanche Research SLF\", \"email\": \"giulia.mazzotti@slf.ch\", 
            
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\"given_name\": \"Giulia\", \"name\": \"Mazzotti\", \"email\": 
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\"given_name\": \"Giulia\", \"identifier\": \"0000-0003-3857-7449\", 
            
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\"giulia.mazzotti@slf.ch\"}",
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\"name\": \"Mazzotti\"}",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2020-03-21T15:28:56.838330",
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  "metadata_created": "2020-03-21T15:28:56.838330",
            
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  "metadata_modified": "2020-12-15T10:20:55.556354",
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  "metadata_modified": "2021-08-23T14:22:37.118808",
            
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  "name": "distributed-subcanopy-datasets",
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  "name": "distributed-subcanopy-datasets",
            
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  "notes": "This dataset contains datasets of sub-canopy 
43
  "notes": "This dataset contains datasets of sub-canopy 
            
44
meteorological variables acquired in coniferous forest stands in 
44
meteorological variables acquired in coniferous forest stands in 
            
45
Switzerland (Davos, Engadine) and Finland (Sodankyl\u00e4) during the 
45
Switzerland (Davos, Engadine) and Finland (Sodankyl\u00e4) during the 
            
46
winters 2018 and 2019. The data are presented and used in the 
46
winters 2018 and 2019. The data are presented and used in the 
            
47
publication: \r\nMazzotti, G., Essery, R., Webster, C., Malle, J.,  & 
47
publication: \r\nMazzotti, G., Essery, R., Webster, C., Malle, J.,  & 
            
48
Jonas T. (2020)\r\nProcess-level evaluation of a high-resolution 
48
Jonas T. (2020)\r\nProcess-level evaluation of a high-resolution 
            
49
forest snow model using observations from mobile multi-sensor 
49
forest snow model using observations from mobile multi-sensor 
            
50
platforms \r\nWater Resources Research, under review\r\n\r\nThe above 
50
platforms \r\nWater Resources Research, under review\r\n\r\nThe above 
            
51
publication must be cited when using this dataset, and the user is 
51
publication must be cited when using this dataset, and the user is 
            
52
referred to the publication for additional detail. \r\n\r\nData are 
52
referred to the publication for additional detail. \r\n\r\nData are 
            
53
grouped into 4 folders: \r\n1) Point data includes wind speed data 
53
grouped into 4 folders: \r\n1) Point data includes wind speed data 
            
54
measured with stationary meteorological stations\r\n2) Transect data 
54
measured with stationary meteorological stations\r\n2) Transect data 
            
55
includes data of incoming short- and longwave radiation, air and snow 
55
includes data of incoming short- and longwave radiation, air and snow 
            
56
surface temperature acquired with an automated calblecar system along 
56
surface temperature acquired with an automated calblecar system along 
            
57
within-stand transects\r\n3) Grid data includes data of incoming 
57
within-stand transects\r\n3) Grid data includes data of incoming 
            
58
short- and longwave radiation, air and snow surface temperature 
58
short- and longwave radiation, air and snow surface temperature 
            
59
acquired on 40x40m gridded plots using a handheld instrument, as well 
59
acquired on 40x40m gridded plots using a handheld instrument, as well 
            
60
as snow depth data measured at the same grids. \r\n\r\nCanopy 
60
as snow depth data measured at the same grids. \r\n\r\nCanopy 
            
61
structure information derived from hemispherical images is included 
61
structure information derived from hemispherical images is included 
            
62
for each all surveyed locations as well, and an overview of the field 
62
for each all surveyed locations as well, and an overview of the field 
            
63
sites is provided. \r\n\r\n\r\n\r\n\r\n",
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sites is provided. \r\n\r\n\r\n\r\n\r\n",
            
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  "num_resources": 5,
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  "num_resources": 5,
            
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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": "2016-09-02T14:17:02.029939",
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    "created": "2021-08-23T15:25:48.676190",
            
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    "description": " The Research Unit investigates natural hazard 
69
    "description": "The research group \u00abSnow Hydrology\u00bb 
            
70
processes in mountainous areas, in particular the triggering and 
70
investigates snow as a component of the hydrological cycle. In the 
            
71
propagation of floods, sediment transport, landslides, debris flows 
71
Alps a significant percentage of precipitation comes in the form of 
            
72
and rock fall. Process studies on the scale of slopes, channels and 
72
snow. The timing of snow melt thus influences the annual dynamics of 
            
73
catchments form the basis for the development of simulation models and 
73
runoff from alpine watersheds. Of particular interest for our research 
            
74
of hazard assessment procedures and for the design of countermeasures. 
74
is to enhance estimations of snow water resources and subsequent melt 
            
75
To this end worldwide unique observation systems are developed, such 
75
water discharge.\r\n\r\nThe research group covers a broad range of 
            
76
as a debris flow balance and geophone systems for bedload transport. 
76
projects and methods. The latest measuring techniques are used to 
            
77
Damage and damaging processes due to frequent and extreme events are 
77
investigate snow distribution patterns in alpine terrain, e.g. laser 
            
78
assessed as prerequisites for the risk-based and sustainable 
78
scanning or radar technology. We use different types of numerical 
            
79
management of natural hazards.\r\n\r\nA second focus of the unit is on 
79
models to calculate snow water resources based on input data from 
            
80
the estimation and prediction of snow and water resources, e.g. for 
80
meteorological monitoring networks. These models are being used to 
            
81
hydropower production or early recognition of drought. The unit 
81
predict the consequences of climate change on the water balance of 
            
82
operates a snow hydrological service for federal and cantonal agencies 
82
mountain watersheds. The models also constitute a valuable tool for 
            
83
and a drought information platform for a broad range of water 
83
our operational services, such as periodic snow hydrological 
            
84
users.\r\n\r\n__Further information__: 
84
bulletins, which contribute to the federal flood prevention and 
            
85
.ch/en/about-wsl/organization/research-units/mountain-hydrology.html",
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forecasting system.\r\n\r\nThe research group \u00abSnow 
            
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    "id": "8ca28da8-ad8f-401a-9356-0aa7fdba2604",
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Hydrology\u00bb is based in Davos and ensures the link between other 
            
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    "image_url": "2018-07-10-091052.004438LogoWSL.svg",
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Davosian research groups and the research unit \u201dMountain 
            
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Hydrology and Mass Movements\u201d in Birmensdorf.",
            
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    "id": "d66115d3-c4f9-4f6e-8ff1-5791549e0386",
            
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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": "gebirgshydrologie",
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    "name": "snow-hydrology",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "GebirgsHydrologie",
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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": "8ca28da8-ad8f-401a-9356-0aa7fdba2604",
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  "private": false,
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  "private": false,
            
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  "publication": "{\"publisher\": \"EnviDat\", \"publication_year\": 
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  "publication": "{\"publication_year\": \"2020\", \"publisher\": 
            
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\"2020\"}",
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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": "Mazzotti, G., Essery, R., Webster, C., 
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  "related_publications": "Mazzotti, G., Essery, R., Webster, C., 
            
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Malle, J.,  & Jonas T. (2020)\r\nProcess-level evaluation of a 
104
Malle, J.,  & Jonas T. (2020)\r\nProcess-level evaluation of a 
            
102
high-resolution forest snow model using observations from mobile 
105
high-resolution forest snow model using observations from mobile 
            
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multi-sensor platforms \r\nWater Resources Research, under review",
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multi-sensor platforms \r\nWater Resources Research, under review",
            
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  "relationships_as_object": [],
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  "resource_type": "dataset",
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      "name": "SNOW ENERGY BALANCE",
            
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  "title": "Distributed sub-canopy datasets from mobile multi-sensor 
292
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platforms (CH / FIN, 2018-2019) for hyper-resolution forest snow model 
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platforms (CH / FIN, 2018-2019) for hyper-resolution forest snow model 
            
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evaluation",
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  "version": "1.0"
            
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}
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