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f | 1 | { | f | 1 | { |
2 | "author": "Wieser, Andreas", | 2 | "author": "Wieser, Andreas", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1184", | 5 | "doi": "10.35097/1184", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Adler, Bianca", | 11 | "extra_author": "Adler, Bianca", | ||
12 | "orcid": "" | 12 | "orcid": "" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Pantillon, Florian", | 15 | "extra_author": "Pantillon, Florian", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | } | 17 | } | ||
18 | ], | 18 | ], | ||
19 | "groups": [], | 19 | "groups": [], | ||
20 | "id": "e84304dc-fc8b-46b6-a4eb-7200dc7bc4ff", | 20 | "id": "e84304dc-fc8b-46b6-a4eb-7200dc7bc4ff", | ||
21 | "isopen": false, | 21 | "isopen": false, | ||
22 | "license_id": "CC BY 4.0 Attribution", | 22 | "license_id": "CC BY 4.0 Attribution", | ||
23 | "license_title": "CC BY 4.0 Attribution", | 23 | "license_title": "CC BY 4.0 Attribution", | ||
24 | "metadata_created": "2023-08-04T08:50:16.421653", | 24 | "metadata_created": "2023-08-04T08:50:16.421653", | ||
t | 25 | "metadata_modified": "2023-08-04T08:53:21.399455", | t | 25 | "metadata_modified": "2023-08-04T09:04:03.003059", |
26 | "name": "rdr-doi-10-35097-1184", | 26 | "name": "rdr-doi-10-35097-1184", | ||
27 | "notes": "TechnicalRemarks: The dataset contains Doppler lidar | 27 | "notes": "TechnicalRemarks: The dataset contains Doppler lidar | ||
28 | measurements for 10 days, each corresponding to an extratropical | 28 | measurements for 10 days, each corresponding to an extratropical | ||
29 | cyclone sampled during the WASTEX field campaign (see Pantillon et al. | 29 | cyclone sampled during the WASTEX field campaign (see Pantillon et al. | ||
30 | 2018).\r\n\r\nThree data are saved in three files per day, e.g. for | 30 | 2018).\r\n\r\nThree data are saved in three files per day, e.g. for | ||
31 | 23/2/2017:\r\n- Save_KIT_DOPPLERLIDAR_RV_20170223.nc (RV = Radial | 31 | 23/2/2017:\r\n- Save_KIT_DOPPLERLIDAR_RV_20170223.nc (RV = Radial | ||
32 | Velocity \u2192 wind measurements)\r\n- | 32 | Velocity \u2192 wind measurements)\r\n- | ||
33 | Save_KIT_DOPPLERLIDAR_SNR_20170223.nc (SNR = Signal to Noise Ratio | 33 | Save_KIT_DOPPLERLIDAR_SNR_20170223.nc (SNR = Signal to Noise Ratio | ||
34 | \u2192 data quality)\r\n- Save_KIT_DOPPLERLIDAR_BS_20170223.nc (BS = | 34 | \u2192 data quality)\r\n- Save_KIT_DOPPLERLIDAR_BS_20170223.nc (BS = | ||
35 | BackScatter \u2192 signal strength)\r\n\r\nFiles are in netCDF format | 35 | BackScatter \u2192 signal strength)\r\n\r\nFiles are in netCDF format | ||
36 | with the following structure, e.g. for RV:\r\n\r\nnetcdf | 36 | with the following structure, e.g. for RV:\r\n\r\nnetcdf | ||
37 | Save_KIT_DOPPLERLIDAR_RV_20170223 {\r\ndimensions:\r\n time = | 37 | Save_KIT_DOPPLERLIDAR_RV_20170223 {\r\ndimensions:\r\n time = | ||
38 | 444035 ;\r\n ranges = 110 ;\r\nvariables:\r\n double | 38 | 444035 ;\r\n ranges = 110 ;\r\nvariables:\r\n double | ||
39 | time(time) ;\r\n time:standard_name = \"time\" ;\r\n | 39 | time(time) ;\r\n time:standard_name = \"time\" ;\r\n | ||
40 | time:units = \"seconds since 1970-01-01 00:00:00 UTC\" ;\r\n | 40 | time:units = \"seconds since 1970-01-01 00:00:00 UTC\" ;\r\n | ||
41 | double ranges(time, ranges) ;\r\n ranges:unit = \"m\" | 41 | double ranges(time, ranges) ;\r\n ranges:unit = \"m\" | ||
42 | ;\r\n ranges:long_name = \"distance of range gate from | 42 | ;\r\n ranges:long_name = \"distance of range gate from | ||
43 | lidar along the beam. value denotes the middle of the range gate.\" | 43 | lidar along the beam. value denotes the middle of the range gate.\" | ||
44 | ;\r\n double elevation(time) ;\r\n | 44 | ;\r\n double elevation(time) ;\r\n | ||
45 | elevation:long_name = \"elevation angle of the laser beam: zenith=90, | 45 | elevation:long_name = \"elevation angle of the laser beam: zenith=90, | ||
46 | horizontal=0 and 180\" ;\r\n elevation:unit = | 46 | horizontal=0 and 180\" ;\r\n elevation:unit = | ||
47 | \"degree\" ;\r\n double azimuth(time) ;\r\n | 47 | \"degree\" ;\r\n double azimuth(time) ;\r\n | ||
48 | azimuth:standard_name = \"sensor_azimuth_angle\" ;\r\n | 48 | azimuth:standard_name = \"sensor_azimuth_angle\" ;\r\n | ||
49 | azimuth:long_name = \"azimuth angle of the laser beam: north=0, | 49 | azimuth:long_name = \"azimuth angle of the laser beam: north=0, | ||
50 | east=90, south=180, west=270\" ;\r\n azimuth:unit = | 50 | east=90, south=180, west=270\" ;\r\n azimuth:unit = | ||
51 | \"degree\" ;\r\n double radial_velocity(time, ranges) ;\r\n | 51 | \"degree\" ;\r\n double radial_velocity(time, ranges) ;\r\n | ||
52 | radial_velocity:standard_name = | 52 | radial_velocity:standard_name = | ||
53 | \"radial_velocity_of_scatterers_away_from_instrument\" ;\r\n | 53 | \"radial_velocity_of_scatterers_away_from_instrument\" ;\r\n | ||
54 | radial_velocity:unit = \"m s^-1\" ;\r\n | 54 | radial_velocity:unit = \"m s^-1\" ;\r\n | ||
55 | radial_velocity:_FillValue = -999. ;\r\n// global attributes:\r\n | 55 | radial_velocity:_FillValue = -999. ;\r\n// global attributes:\r\n | ||
56 | :Institution = \"Karlsruhe Institute of Technology, Institute of | 56 | :Institution = \"Karlsruhe Institute of Technology, Institute of | ||
57 | Meteorology and Climate Research\" ;\r\n :Title = | 57 | Meteorology and Climate Research\" ;\r\n :Title = | ||
58 | \"Scanning doppler lidar WindTracer\" ;\r\n}\r\n\r\nWind measurements | 58 | \"Scanning doppler lidar WindTracer\" ;\r\n}\r\n\r\nWind measurements | ||
59 | are stored in variable \"radial_velocity\" as function of coordinates | 59 | are stored in variable \"radial_velocity\" as function of coordinates | ||
60 | \"time\" and distance from lidar \"ranges\". At the beginning of every | 60 | \"time\" and distance from lidar \"ranges\". At the beginning of every | ||
61 | hour, the mean wind direction is determined (about 1500 records) with | 61 | hour, the mean wind direction is determined (about 1500 records) with | ||
62 | varying azimuth (\u201chorizontal angle\u201d) from 0\u00b0 to | 62 | varying azimuth (\u201chorizontal angle\u201d) from 0\u00b0 to | ||
63 | 360\u00b0 and fixed elevation (\u201cvertical angle\u201d) at | 63 | 360\u00b0 and fixed elevation (\u201cvertical angle\u201d) at | ||
64 | 15\u00b0 and 75\u00b0. Then the radial wind speed is measured for one | 64 | 15\u00b0 and 75\u00b0. Then the radial wind speed is measured for one | ||
65 | hour (about 15000 records) with constant azimuth in the mean wind | 65 | hour (about 15000 records) with constant azimuth in the mean wind | ||
66 | direction determined above and varying elevation from 0\u00b0 to | 66 | direction determined above and varying elevation from 0\u00b0 to | ||
67 | 15\u00b0, up and downward every 0.6\u00b0. One up- or downscan | 67 | 15\u00b0, up and downward every 0.6\u00b0. One up- or downscan | ||
68 | contains about 25 records contained in one up or downscan, which can | 68 | contains about 25 records contained in one up or downscan, which can | ||
69 | be combined into one snapshot (see example in Pantillon et al. 2018). | 69 | be combined into one snapshot (see example in Pantillon et al. 2018). | ||
70 | Such a \u201csnapshot\u201d actually contains asynchronous records (a | 70 | Such a \u201csnapshot\u201d actually contains asynchronous records (a | ||
71 | few seconds altogether) thus it is recommended to use upscans or | 71 | few seconds altogether) thus it is recommended to use upscans or | ||
72 | downscans only. Each record can be additionally filtered according to | 72 | downscans only. Each record can be additionally filtered according to | ||
73 | its quality, e.g. with signal-to-noise ratio SNR > -6 dB.", | 73 | its quality, e.g. with signal-to-noise ratio SNR > -6 dB.", | ||
74 | "num_resources": 0, | 74 | "num_resources": 0, | ||
75 | "num_tags": 0, | 75 | "num_tags": 0, | ||
76 | "orcid": "", | 76 | "orcid": "", | ||
77 | "organization": { | 77 | "organization": { | ||
78 | "approval_status": "approved", | 78 | "approval_status": "approved", | ||
79 | "created": "2023-01-12T13:30:23.238233", | 79 | "created": "2023-01-12T13:30:23.238233", | ||
80 | "description": "RADAR (Research Data Repository) is a | 80 | "description": "RADAR (Research Data Repository) is a | ||
81 | cross-disciplinary repository for archiving and publishing research | 81 | cross-disciplinary repository for archiving and publishing research | ||
82 | data from completed scientific studies and projects. The focus is on | 82 | data from completed scientific studies and projects. The focus is on | ||
83 | research data from subjects that do not yet have their own | 83 | research data from subjects that do not yet have their own | ||
84 | discipline-specific infrastructures for research data management. ", | 84 | discipline-specific infrastructures for research data management. ", | ||
85 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 85 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
86 | "image_url": "radar-logo.svg", | 86 | "image_url": "radar-logo.svg", | ||
87 | "is_organization": true, | 87 | "is_organization": true, | ||
88 | "name": "radar", | 88 | "name": "radar", | ||
89 | "state": "active", | 89 | "state": "active", | ||
90 | "title": "RADAR", | 90 | "title": "RADAR", | ||
91 | "type": "organization" | 91 | "type": "organization" | ||
92 | }, | 92 | }, | ||
93 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 93 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
94 | "private": false, | 94 | "private": false, | ||
95 | "production_year": "2019", | 95 | "production_year": "2019", | ||
96 | "publication_year": "2023", | 96 | "publication_year": "2023", | ||
97 | "publishers": [ | 97 | "publishers": [ | ||
98 | { | 98 | { | ||
99 | "publisher": "Karlsruhe Institute of Technology" | 99 | "publisher": "Karlsruhe Institute of Technology" | ||
100 | } | 100 | } | ||
101 | ], | 101 | ], | ||
102 | "relationships_as_object": [], | 102 | "relationships_as_object": [], | ||
103 | "relationships_as_subject": [], | 103 | "relationships_as_subject": [], | ||
104 | "repository_name": "RADAR (Research Data Repository)", | 104 | "repository_name": "RADAR (Research Data Repository)", | ||
105 | "resources": [], | 105 | "resources": [], | ||
106 | "services_used_list": "", | 106 | "services_used_list": "", | ||
107 | "source_metadata_created": "2023", | 107 | "source_metadata_created": "2023", | ||
108 | "source_metadata_modified": "", | 108 | "source_metadata_modified": "", | ||
109 | "state": "active", | 109 | "state": "active", | ||
110 | "subject_areas": [ | 110 | "subject_areas": [ | ||
111 | { | 111 | { | ||
112 | "subject_area_additional": "", | 112 | "subject_area_additional": "", | ||
113 | "subject_area_name": "Geological Science" | 113 | "subject_area_name": "Geological Science" | ||
114 | } | 114 | } | ||
115 | ], | 115 | ], | ||
116 | "tags": [], | 116 | "tags": [], | ||
117 | "title": "Doppler lidar measurements from the wind and storms | 117 | "title": "Doppler lidar measurements from the wind and storms | ||
118 | experiment (wastex)", | 118 | experiment (wastex)", | ||
119 | "type": "vdataset", | 119 | "type": "vdataset", | ||
120 | "url": "https://doi.org/10.35097/1184" | 120 | "url": "https://doi.org/10.35097/1184" | ||
121 | } | 121 | } |