Changes
On December 17, 2020 at 9:38:51 AM UTC, Administrator:
-
Changed value of field
publication_state
topublished
in CCN, hygroscopicity, predicted cloud droplet numbers Weissfluhjoch
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"Laboratory of Atmospheric Processes | 2 | "author": "[{\"affiliation\": \"Laboratory of Atmospheric Processes | ||
3 | and their Impacts, EPFL\", \"affiliation_02\": \"Center for Studies of | 3 | and their Impacts, EPFL\", \"affiliation_02\": \"Center for Studies of | ||
4 | Air Quality and Climate Change, ICE-HT/FORTH\", \"affiliation_03\": | 4 | Air Quality and Climate Change, ICE-HT/FORTH\", \"affiliation_03\": | ||
5 | \"\", \"data_credit\": [\"collection\", \"validation\", \"curation\", | 5 | \"\", \"data_credit\": [\"collection\", \"validation\", \"curation\", | ||
6 | \"software\", \"publication\", \"supervision\"], \"email\": | 6 | \"software\", \"publication\", \"supervision\"], \"email\": | ||
7 | \"athanasios.nenes@epfl.ch\", \"given_name\": \"Athanasios\", | 7 | \"athanasios.nenes@epfl.ch\", \"given_name\": \"Athanasios\", | ||
8 | \"identifier\": \"\", \"name\": \"Nenes\"}, {\"affiliation\": | 8 | \"identifier\": \"\", \"name\": \"Nenes\"}, {\"affiliation\": | ||
9 | \"Laboratory of Atmospheric Processes and their Impacts, EPFL\", | 9 | \"Laboratory of Atmospheric Processes and their Impacts, EPFL\", | ||
10 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 10 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
11 | [\"validation\", \"curation\", \"publication\"], \"email\": | 11 | [\"validation\", \"curation\", \"publication\"], \"email\": | ||
12 | \"paraskevi.georgakaki@epfl.ch\", \"given_name\": \"Paraskevi\", | 12 | \"paraskevi.georgakaki@epfl.ch\", \"given_name\": \"Paraskevi\", | ||
13 | \"identifier\": \"\", \"name\": \"Georgakaki\"}, {\"affiliation\": | 13 | \"identifier\": \"\", \"name\": \"Georgakaki\"}, {\"affiliation\": | ||
14 | \"Institute for Environmental Research & Sustainable Development, | 14 | \"Institute for Environmental Research & Sustainable Development, | ||
15 | NOA\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 15 | NOA\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
16 | \"data_credit\": \"collection\", \"email\": \"abougiat@noa.gr\", | 16 | \"data_credit\": \"collection\", \"email\": \"abougiat@noa.gr\", | ||
17 | \"given_name\": \"Aikaterini\", \"identifier\": \"\", \"name\": | 17 | \"given_name\": \"Aikaterini\", \"identifier\": \"\", \"name\": | ||
18 | \"Bougiatioti\"}]", | 18 | \"Bougiatioti\"}]", | ||
19 | "author_email": null, | 19 | "author_email": null, | ||
20 | "creator_user_id": "6f5d3185-7d3e-4c67-b014-cf38cee79bb1", | 20 | "creator_user_id": "6f5d3185-7d3e-4c67-b014-cf38cee79bb1", | ||
21 | "date": "[{\"date\": \"2019-02-24\", \"date_type\": \"collected\", | 21 | "date": "[{\"date\": \"2019-02-24\", \"date_type\": \"collected\", | ||
22 | \"end_date\": \"2019-03-08\"}]", | 22 | \"end_date\": \"2019-03-08\"}]", | ||
23 | "doi": "10.16904/envidat.198", | 23 | "doi": "10.16904/envidat.198", | ||
24 | "extras": [ | 24 | "extras": [ | ||
25 | { | 25 | { | ||
26 | "key": "Geographic Location", | 26 | "key": "Geographic Location", | ||
27 | "value": "46 49\u201958.670\u201dN 9 48\u201923.309\u201dE" | 27 | "value": "46 49\u201958.670\u201dN 9 48\u201923.309\u201dE" | ||
28 | }, | 28 | }, | ||
29 | { | 29 | { | ||
30 | "key": "parent", | 30 | "key": "parent", | ||
31 | "value": "RACLETS Field Campaign" | 31 | "value": "RACLETS Field Campaign" | ||
32 | } | 32 | } | ||
33 | ], | 33 | ], | ||
34 | "funding": "[{\"grant_number\": \"726165\", \"institution\": | 34 | "funding": "[{\"grant_number\": \"726165\", \"institution\": | ||
35 | \"PyroTRACH\", \"institution_url\": | 35 | \"PyroTRACH\", \"institution_url\": | ||
36 | \"https://cordis.europa.eu/project/id/726165\"}, {\"grant_number\": | 36 | \"https://cordis.europa.eu/project/id/726165\"}, {\"grant_number\": | ||
37 | \"821205\", \"institution\": \"FORCeS\", \"institution_url\": | 37 | \"821205\", \"institution\": \"FORCeS\", \"institution_url\": | ||
38 | \"https://forces-project.eu/\"}]", | 38 | \"https://forces-project.eu/\"}]", | ||
39 | "groups": [ | 39 | "groups": [ | ||
40 | { | 40 | { | ||
41 | "description": "During the | 41 | "description": "During the | ||
42 | [RACLETS](https://www.envidat.ch/group/about/raclets-field-campaign) | 42 | [RACLETS](https://www.envidat.ch/group/about/raclets-field-campaign) | ||
43 | campaign aerosol properties were measured in Davos Wolfang (LON: | 43 | campaign aerosol properties were measured in Davos Wolfang (LON: | ||
44 | 9.853594, LAT: 46.835577), at an elevation of 1630 m above sea level | 44 | 9.853594, LAT: 46.835577), at an elevation of 1630 m above sea level | ||
45 | (a.s.l.), which is in a valley between lake Davos in the South and | 45 | (a.s.l.), which is in a valley between lake Davos in the South and | ||
46 | Laret in the North. The second measurement site for aerosol particles | 46 | Laret in the North. The second measurement site for aerosol particles | ||
47 | was on a mountain site, called Weissfluhjoch (LON: 9.806475, LAT: | 47 | was on a mountain site, called Weissfluhjoch (LON: 9.806475, LAT: | ||
48 | 46.832964), at an elevation of 2700 m a.s.l. The instruments were | 48 | 46.832964), at an elevation of 2700 m a.s.l. The instruments were | ||
49 | owned and operated by ETH Zurich and University of Basel. \r\n\r\nThe | 49 | owned and operated by ETH Zurich and University of Basel. \r\n\r\nThe | ||
50 | aerosol size spectra from 15 nm to 40 μ m were recorded with a | 50 | aerosol size spectra from 15 nm to 40 μ m were recorded with a | ||
51 | combination of SMPS (model 3938, TSI Inc.), APS (model 3321, TSI | 51 | combination of SMPS (model 3938, TSI Inc.), APS (model 3321, TSI | ||
52 | Inc.), and OPCs (OPC-N3, Alphasense ; GT-526S Met One Instruments, | 52 | Inc.), and OPCs (OPC-N3, Alphasense ; GT-526S Met One Instruments, | ||
53 | Inc.).\r\nIn-situ measurements of Cloud Condensation Nuclei (CCN) were | 53 | Inc.).\r\nIn-situ measurements of Cloud Condensation Nuclei (CCN) were | ||
54 | carried out with a CCN chamber (CCNC, Droplet Measurement | 54 | carried out with a CCN chamber (CCNC, Droplet Measurement | ||
55 | Technologies). LINDA (LED based Ice Nucleation Detection Aparatus, | 55 | Technologies). LINDA (LED based Ice Nucleation Detection Aparatus, | ||
56 | University of Basel), DRINCZ (Droplet Ice Nuclei Counter Zurich, ETH | 56 | University of Basel), DRINCZ (Droplet Ice Nuclei Counter Zurich, ETH | ||
57 | Zurich), and a cold stage were used to investigate ice nucleating | 57 | Zurich), and a cold stage were used to investigate ice nucleating | ||
58 | particle (INP) concentrations by drop freezing experiments. | 58 | particle (INP) concentrations by drop freezing experiments. | ||
59 | Information about the secondary ice fraction was gained by melting and | 59 | Information about the secondary ice fraction was gained by melting and | ||
60 | re-freezing single dendrites. For further chemical analysis, particles | 60 | re-freezing single dendrites. For further chemical analysis, particles | ||
61 | larger than 0.5 μm were collected with an air sampler (Coriolis | 61 | larger than 0.5 μm were collected with an air sampler (Coriolis | ||
62 | μ, bertin Instruments) using a cyclone technology to separate | 62 | μ, bertin Instruments) using a cyclone technology to separate | ||
63 | particles from the air into the sample liquid. \r\n\r\nInformation on | 63 | particles from the air into the sample liquid. \r\n\r\nInformation on | ||
64 | [precipitation](https://www.envidat.ch/group/about/precipitation), | 64 | [precipitation](https://www.envidat.ch/group/about/precipitation), | ||
65 | [wind](https://www.envidat.ch/group/about/remote-sensing-raclets), | 65 | [wind](https://www.envidat.ch/group/about/remote-sensing-raclets), | ||
66 | [meteorological | 66 | [meteorological | ||
67 | parameters](https://www.envidat.ch/group/about/meteorology), [cloud | 67 | parameters](https://www.envidat.ch/group/about/meteorology), [cloud | ||
68 | properties](https://www.envidat.ch/group/about/remote-sensing-raclets) | 68 | properties](https://www.envidat.ch/group/about/remote-sensing-raclets) | ||
69 | and [cloud | 69 | and [cloud | ||
70 | omposition](https://www.envidat.ch/group/about/clouds-in-situ-raclets) | 70 | omposition](https://www.envidat.ch/group/about/clouds-in-situ-raclets) | ||
71 | were gained at the valley station. | 71 | were gained at the valley station. | ||
72 | [Snowflake](https://www.envidat.ch/group/about/snow) properties were | 72 | [Snowflake](https://www.envidat.ch/group/about/snow) properties were | ||
73 | investigated at the mountaintop station. | 73 | investigated at the mountaintop station. | ||
74 | oloBalloon](https://www.envidat.ch/group/about/clouds-in-situ-raclets) | 74 | oloBalloon](https://www.envidat.ch/group/about/clouds-in-situ-raclets) | ||
75 | and [radiosondes](https://www.envidat.ch/group/about/meteorology) were | 75 | and [radiosondes](https://www.envidat.ch/group/about/meteorology) were | ||
76 | launched close to the aerosol measurement station in Davos Wolfgang. | 76 | launched close to the aerosol measurement station in Davos Wolfgang. | ||
77 | The OceaNet container hosting [remote | 77 | The OceaNet container hosting [remote | ||
78 | sensing](https://www.envidat.ch/group/about/remote-sensing-raclets) | 78 | sensing](https://www.envidat.ch/group/about/remote-sensing-raclets) | ||
79 | instruments and a disdrometer to measure | 79 | instruments and a disdrometer to measure | ||
80 | [precipitation](https://www.envidat.ch/group/about/precipitation) were | 80 | [precipitation](https://www.envidat.ch/group/about/precipitation) were | ||
81 | placed in the same area.\r\n\r\n![pic not | 81 | placed in the same area.\r\n\r\n![pic not | ||
82 | imo/images/notUploaded/Jan/IMG_20190209_103151_scale.jpg)\r\n\r\nImage | 82 | imo/images/notUploaded/Jan/IMG_20190209_103151_scale.jpg)\r\n\r\nImage | ||
83 | 1: Measurement site Davos Wolfgang. © Jan | 83 | 1: Measurement site Davos Wolfgang. © Jan | ||
84 | Henneberger.\r\n\r\n\r\n![pic not | 84 | Henneberger.\r\n\r\n\r\n![pic not | ||
85 | ata/holimo/images/notUploaded/Claudia/IMG_8970_scale.JPG)\r\n\r\nImage | 85 | ata/holimo/images/notUploaded/Claudia/IMG_8970_scale.JPG)\r\n\r\nImage | ||
86 | 2: Measurement site Weissfluhjoch. © Claudia Mignani.\r\n", | 86 | 2: Measurement site Weissfluhjoch. © Claudia Mignani.\r\n", | ||
87 | "display_name": "Aerosols", | 87 | "display_name": "Aerosols", | ||
88 | "id": "7e071c09-4ec0-4ebf-bf3c-a41755cd566d", | 88 | "id": "7e071c09-4ec0-4ebf-bf3c-a41755cd566d", | ||
89 | "image_display_url": | 89 | "image_display_url": | ||
90 | dat.ch/uploads/group/2019-08-21-115852.482765RACLETSaerosolslogo.png", | 90 | dat.ch/uploads/group/2019-08-21-115852.482765RACLETSaerosolslogo.png", | ||
91 | "name": "aerosols-raclets", | 91 | "name": "aerosols-raclets", | ||
92 | "title": "Aerosols" | 92 | "title": "Aerosols" | ||
93 | }, | 93 | }, | ||
94 | { | 94 | { | ||
95 | "description": "The regional numerical weather predicton model | 95 | "description": "The regional numerical weather predicton model | ||
96 | COSMO was used to simulate certain periods of the | 96 | COSMO was used to simulate certain periods of the | ||
97 | [RACLETS](https://www.envidat.ch/group/about/raclets-field-campaign) | 97 | [RACLETS](https://www.envidat.ch/group/about/raclets-field-campaign) | ||
98 | campaign. The one-moment scheme which described cloud microphysical | 98 | campaign. The one-moment scheme which described cloud microphysical | ||
99 | processes with prognostic variables was replaced by a two-moment | 99 | processes with prognostic variables was replaced by a two-moment | ||
100 | scheme which considered a higher number of hydrometeor classes and | 100 | scheme which considered a higher number of hydrometeor classes and | ||
101 | used prescribed CCN and INP concentrations. \r\n\r\nThe results of the | 101 | used prescribed CCN and INP concentrations. \r\n\r\nThe results of the | ||
102 | two-moment scheme were compared to both, the operationally used | 102 | two-moment scheme were compared to both, the operationally used | ||
103 | one-moment scheme and the in-situ cloud microphysical data and | 103 | one-moment scheme and the in-situ cloud microphysical data and | ||
104 | precipitation measurements of the campaign. In addition to tuning of | 104 | precipitation measurements of the campaign. In addition to tuning of | ||
105 | parameterizations of cloud microphysical processes, which are | 105 | parameterizations of cloud microphysical processes, which are | ||
106 | important prerequisites for the stabilization of orographic MPCs and | 106 | important prerequisites for the stabilization of orographic MPCs and | ||
107 | therewith orographic precipitation in the model, the influence of | 107 | therewith orographic precipitation in the model, the influence of | ||
108 | anthropogenic aerosol on precipitation was assesd. The simulations | 108 | anthropogenic aerosol on precipitation was assesd. The simulations | ||
109 | were conducted with various CCN and INP concentrations under the same | 109 | were conducted with various CCN and INP concentrations under the same | ||
110 | meteorological conditions to represent clean and polluted scenarios. | 110 | meteorological conditions to represent clean and polluted scenarios. | ||
111 | \r\n", | 111 | \r\n", | ||
112 | "display_name": "Modelling", | 112 | "display_name": "Modelling", | ||
113 | "id": "5e515677-99b1-4de2-bc51-4750069c6aeb", | 113 | "id": "5e515677-99b1-4de2-bc51-4750069c6aeb", | ||
114 | "image_display_url": | 114 | "image_display_url": | ||
115 | nvidat.ch/uploads/group/2019-08-21-120058.853032RACLETSmodellogo.png", | 115 | nvidat.ch/uploads/group/2019-08-21-120058.853032RACLETSmodellogo.png", | ||
116 | "name": "modeling", | 116 | "name": "modeling", | ||
117 | "title": "Modelling" | 117 | "title": "Modelling" | ||
118 | }, | 118 | }, | ||
119 | { | 119 | { | ||
120 | "description": "### Campaign Overview\r\n\r\nThe __RACLETS__ - | 120 | "description": "### Campaign Overview\r\n\r\nThe __RACLETS__ - | ||
121 | _Role of Aerosols and CLouds Enhanced by Topography on Snow_ - | 121 | _Role of Aerosols and CLouds Enhanced by Topography on Snow_ - | ||
122 | campaign uniquely combines cloud and snow research to improve the | 122 | campaign uniquely combines cloud and snow research to improve the | ||
123 | understanding of precipitation formation in clouds and snow deposition | 123 | understanding of precipitation formation in clouds and snow deposition | ||
124 | on the ground. \r\n\r\n\r\nDuring the RACLETS campaign in February | 124 | on the ground. \r\n\r\n\r\nDuring the RACLETS campaign in February | ||
125 | and March 2019, an extensive set of instruments was deployed in the | 125 | and March 2019, an extensive set of instruments was deployed in the | ||
126 | Davos regions including aerosol, cloud, precipitation and snow | 126 | Davos regions including aerosol, cloud, precipitation and snow | ||
127 | measurements. In a unique cooperation between cloud and snow research | 127 | measurements. In a unique cooperation between cloud and snow research | ||
128 | groups, this study aimed to observe the complete life cycle of ice | 128 | groups, this study aimed to observe the complete life cycle of ice | ||
129 | crystals:\r\n\r\n- Cloud droplet formation and ice nucleation on | 129 | crystals:\r\n\r\n- Cloud droplet formation and ice nucleation on | ||
130 | aerosol particles\r\n- Growth of cloud droplets and ice crystals to | 130 | aerosol particles\r\n- Growth of cloud droplets and ice crystals to | ||
131 | precipitation\r\n- Ice crystal enhancement by ice multiplication\r\n- | 131 | precipitation\r\n- Ice crystal enhancement by ice multiplication\r\n- | ||
132 | Precipitation location and amount on the ground\r\n- Redistribution of | 132 | Precipitation location and amount on the ground\r\n- Redistribution of | ||
133 | snow on the ground\r\n\r\n\r\nThe measurements were contextualized by | 133 | snow on the ground\r\n\r\n\r\nThe measurements were contextualized by | ||
134 | using regional numerical weather models for the atmosphere and | 134 | using regional numerical weather models for the atmosphere and | ||
135 | high-resolution models for snow deposition.\r\n\r\nTo explore the | 135 | high-resolution models for snow deposition.\r\n\r\nTo explore the | ||
136 | campaign sites in a short introduction | 136 | campaign sites in a short introduction | ||
137 | tps://iacweb.ethz.ch/data/holimo/images/Davos_campaign_GE_31_Jan.mp4), | 137 | tps://iacweb.ethz.ch/data/holimo/images/Davos_campaign_GE_31_Jan.mp4), | ||
138 | just click on the picture below. \r\n<br />\r\n[![IMAGE IS | 138 | just click on the picture below. \r\n<br />\r\n[![IMAGE IS | ||
139 | eb.ethz.ch/data/holimo/images/Davos_campaign_GE_31_Jan.mp4)\r\n\r\n<br | 139 | eb.ethz.ch/data/holimo/images/Davos_campaign_GE_31_Jan.mp4)\r\n\r\n<br | ||
140 | />\r\n\r\nTo cover the spatial differences of the topography, | 140 | />\r\n\r\nTo cover the spatial differences of the topography, | ||
141 | instruments were deployed at five different locations and on a cable | 141 | instruments were deployed at five different locations and on a cable | ||
142 | car. The main measurement site was located in __Davos Wolfang__, 1630 | 142 | car. The main measurement site was located in __Davos Wolfang__, 1630 | ||
143 | m above sea level (a.s.l.). Here, | 143 | m above sea level (a.s.l.). Here, | ||
144 | [clouds](https://www.envidat.ch/group/about/clouds-in-situ-raclets) | 144 | [clouds](https://www.envidat.ch/group/about/clouds-in-situ-raclets) | ||
145 | were probed in-situ by a tethered balloon system (HoloBalloon), | 145 | were probed in-situ by a tethered balloon system (HoloBalloon), | ||
146 | [radiosondes](https://www.envidat.ch/group/about/meteorology) were | 146 | [radiosondes](https://www.envidat.ch/group/about/meteorology) were | ||
147 | launched, | 147 | launched, | ||
148 | [precipitation](https://www.envidat.ch/group/about/precipitation) was | 148 | [precipitation](https://www.envidat.ch/group/about/precipitation) was | ||
149 | measured (disdrometer), [remote sensing | 149 | measured (disdrometer), [remote sensing | ||
150 | nstruments](https://www.envidat.ch/group/about/remote-sensing-raclets) | 150 | nstruments](https://www.envidat.ch/group/about/remote-sensing-raclets) | ||
151 | were deployed (OceaNet station, Wind Profiler and Wind LIDAR) and | 151 | were deployed (OceaNet station, Wind Profiler and Wind LIDAR) and | ||
152 | [aerosol and INP | 152 | [aerosol and INP | ||
153 | measurements](https://www.envidat.ch/group/about/aerosols-raclets) | 153 | measurements](https://www.envidat.ch/group/about/aerosols-raclets) | ||
154 | were carried out to study the atmosphere. The mountain ridge | 154 | were carried out to study the atmosphere. The mountain ridge | ||
155 | __Gotschna__ separates Davos Wolfgang in the south from Klosters in | 155 | __Gotschna__ separates Davos Wolfgang in the south from Klosters in | ||
156 | the north. In __Klosters__ (1170 m a.s.l.), a | 156 | the north. In __Klosters__ (1170 m a.s.l.), a | ||
157 | ceilometer](https://www.envidat.ch/group/about/remote-sensing-raclets) | 157 | ceilometer](https://www.envidat.ch/group/about/remote-sensing-raclets) | ||
158 | was applied to measure the cloud base. On a cable car, running on the | 158 | was applied to measure the cloud base. On a cable car, running on the | ||
159 | north side of the ridge towards __Gotschnagrat__ (2285 m a.s.l.), | 159 | north side of the ridge towards __Gotschnagrat__ (2285 m a.s.l.), | ||
160 | HoloGondel was attached, which took in-situ images of ice crystals and | 160 | HoloGondel was attached, which took in-situ images of ice crystals and | ||
161 | droplets in | 161 | droplets in | ||
162 | [clouds](https://www.envidat.ch/group/about/clouds-in-situ-raclets). A | 162 | [clouds](https://www.envidat.ch/group/about/clouds-in-situ-raclets). A | ||
163 | [snow drift station](https://www.envidat.ch/group/about/snow) and a | 163 | [snow drift station](https://www.envidat.ch/group/about/snow) and a | ||
164 | [disdrometer](https://www.envidat.ch/group/about/precipitation) were | 164 | [disdrometer](https://www.envidat.ch/group/about/precipitation) were | ||
165 | located at __Gotschnagrat__. At the mountain site __Weissfluhjoch__ | 165 | located at __Gotschnagrat__. At the mountain site __Weissfluhjoch__ | ||
166 | (2700 m a.s.l.), south of __Gotschna__, [Aerosols, INPs, | 166 | (2700 m a.s.l.), south of __Gotschna__, [Aerosols, INPs, | ||
167 | CCNs](https://www.envidat.ch/group/about/aerosols-raclets) were | 167 | CCNs](https://www.envidat.ch/group/about/aerosols-raclets) were | ||
168 | measured in addition to analysing | 168 | measured in addition to analysing | ||
169 | [snowflakes](https://www.envidat.ch/group/about/snow) and performing | 169 | [snowflakes](https://www.envidat.ch/group/about/snow) and performing | ||
170 | [snow measurements](https://www.envidat.ch/group/about/snow). | 170 | [snow measurements](https://www.envidat.ch/group/about/snow). | ||
171 | [Snow](https://www.envidat.ch/group/about/snow) and | 171 | [Snow](https://www.envidat.ch/group/about/snow) and | ||
172 | [precipitation](https://www.envidat.ch/group/about/precipitation) | 172 | [precipitation](https://www.envidat.ch/group/about/precipitation) | ||
173 | measurements were performed in __Laret__, which is located in the | 173 | measurements were performed in __Laret__, which is located in the | ||
174 | valley at an elevation of 1522 m a.s.l. and in a distance of about 1 | 174 | valley at an elevation of 1522 m a.s.l. and in a distance of about 1 | ||
175 | km north of Davos Wolfgang.\r\n\r\n\r\n\r\n### Data Files\r\nThe data | 175 | km north of Davos Wolfgang.\r\n\r\n\r\n\r\n### Data Files\r\nThe data | ||
176 | recorded during the campaign can be accessed via the following | 176 | recorded during the campaign can be accessed via the following | ||
177 | subprojects (as link): \r\n\r\n- | 177 | subprojects (as link): \r\n\r\n- | ||
178 | [_Aerosols_](https://www.envidat.ch/group/aerosols-raclets)\r\n- | 178 | [_Aerosols_](https://www.envidat.ch/group/aerosols-raclets)\r\n- | ||
179 | [_Clouds | 179 | [_Clouds | ||
180 | in-situ_](https://www.envidat.ch/group/clouds-in-situ-raclets)\r\n- | 180 | in-situ_](https://www.envidat.ch/group/clouds-in-situ-raclets)\r\n- | ||
181 | [_Meteorology_](https://www.envidat.ch/group/meteorology) \r\n- | 181 | [_Meteorology_](https://www.envidat.ch/group/meteorology) \r\n- | ||
182 | [_Modelling_](https://www.envidat.ch/group/modeling) \r\n- | 182 | [_Modelling_](https://www.envidat.ch/group/modeling) \r\n- | ||
183 | [_Precipitation_](https://www.envidat.ch/group/precipitation) \r\n- | 183 | [_Precipitation_](https://www.envidat.ch/group/precipitation) \r\n- | ||
184 | [_Remote | 184 | [_Remote | ||
185 | Sensing_](https://www.envidat.ch/group/remote-sensing-raclets)\r\n- | 185 | Sensing_](https://www.envidat.ch/group/remote-sensing-raclets)\r\n- | ||
186 | [_Snow_](https://www.envidat.ch/group/snow) \r\n\r\n<br />\r\n\r\n### | 186 | [_Snow_](https://www.envidat.ch/group/snow) \r\n\r\n<br />\r\n\r\n### | ||
187 | __Project Partners__\r\nMore information about participating insitutes | 187 | __Project Partners__\r\nMore information about participating insitutes | ||
188 | can be found here: \r\n\r\n- https://duw.unibas.ch/de/home/\r\n- | 188 | can be found here: \r\n\r\n- https://duw.unibas.ch/de/home/\r\n- | ||
189 | https://www.epfl.ch/en/home/\r\n- | 189 | https://www.epfl.ch/en/home/\r\n- | ||
190 | http://www.iac.ethz.ch/group/atmospheric-physics.html\r\n- | 190 | http://www.iac.ethz.ch/group/atmospheric-physics.html\r\n- | ||
191 | https://www.meteoswiss.admin.ch/home.html?tab=overview\r\n- | 191 | https://www.meteoswiss.admin.ch/home.html?tab=overview\r\n- | ||
192 | https://www.slf.ch/\r\n- | 192 | https://www.slf.ch/\r\n- | ||
193 | https://www.tropos.de/institut/ueber-uns/das-institut/\r\n- | 193 | https://www.tropos.de/institut/ueber-uns/das-institut/\r\n- | ||
194 | https://www.wsl.ch/de/schnee-und-eis.html \r\n\r\n<br | 194 | https://www.wsl.ch/de/schnee-und-eis.html \r\n\r\n<br | ||
195 | />\r\n\r\n### __Related Data__ \r\n\r\nSatellite images and data can | 195 | />\r\n\r\n### __Related Data__ \r\n\r\nSatellite images and data can | ||
196 | be requested at | 196 | be requested at | ||
197 | [NASA](https://ladsweb.modaps.eosdis.nasa.gov/).\r\nFurther weather | 197 | [NASA](https://ladsweb.modaps.eosdis.nasa.gov/).\r\nFurther weather | ||
198 | radar data can be requested for certain periods at | 198 | radar data can be requested for certain periods at | ||
199 | ecasting-systems/atmosphere/weather-radar-network.html).\r\n\r\n\r\n", | 199 | ecasting-systems/atmosphere/weather-radar-network.html).\r\n\r\n\r\n", | ||
200 | "display_name": "RACLETS Field Campaign", | 200 | "display_name": "RACLETS Field Campaign", | ||
201 | "id": "ab759699-d40a-44c9-995f-c0e5aad1c2b5", | 201 | "id": "ab759699-d40a-44c9-995f-c0e5aad1c2b5", | ||
202 | "image_display_url": | 202 | "image_display_url": | ||
203 | "https://iacweb.ethz.ch/data/holimo/images/RACLETS_logo.jpg", | 203 | "https://iacweb.ethz.ch/data/holimo/images/RACLETS_logo.jpg", | ||
204 | "name": "raclets-field-campaign", | 204 | "name": "raclets-field-campaign", | ||
205 | "title": "RACLETS Field Campaign" | 205 | "title": "RACLETS Field Campaign" | ||
206 | } | 206 | } | ||
207 | ], | 207 | ], | ||
208 | "id": "ecb08acd-01d0-40e6-ac42-584aab9fc27f", | 208 | "id": "ecb08acd-01d0-40e6-ac42-584aab9fc27f", | ||
209 | "isopen": true, | 209 | "isopen": true, | ||
210 | "language": "en", | 210 | "language": "en", | ||
211 | "license_id": "odc-odbl", | 211 | "license_id": "odc-odbl", | ||
212 | "license_title": "ODbL with Database Contents License (DbCL)", | 212 | "license_title": "ODbL with Database Contents License (DbCL)", | ||
213 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | 213 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | ||
214 | "maintainer": "{\"affiliation\": \"LAPI, EPFL/ C-STACC, | 214 | "maintainer": "{\"affiliation\": \"LAPI, EPFL/ C-STACC, | ||
215 | ICE-HT/FORTH\", \"email\": \"athanasios.nenes@epfl.ch\", | 215 | ICE-HT/FORTH\", \"email\": \"athanasios.nenes@epfl.ch\", | ||
216 | \"given_name\": \"Athanasios\", \"identifier\": \"\", \"name\": | 216 | \"given_name\": \"Athanasios\", \"identifier\": \"\", \"name\": | ||
217 | \"Nenes\"}", | 217 | \"Nenes\"}", | ||
218 | "maintainer_email": null, | 218 | "maintainer_email": null, | ||
219 | "metadata_created": "2020-12-06T15:37:23.421545", | 219 | "metadata_created": "2020-12-06T15:37:23.421545", | ||
n | 220 | "metadata_modified": "2020-12-17T08:53:09.082857", | n | 220 | "metadata_modified": "2020-12-17T09:38:51.454396", |
221 | "name": | 221 | "name": | ||
222 | "ccn-hygroscopicity-predicted-cloud-droplet-numbers-weissfluhjoch", | 222 | "ccn-hygroscopicity-predicted-cloud-droplet-numbers-weissfluhjoch", | ||
223 | "notes": "__Cloud Condensation Nuclei (CCN) data:__ A Droplet | 223 | "notes": "__Cloud Condensation Nuclei (CCN) data:__ A Droplet | ||
224 | Measurement Technologies (DMT) single-column continuous-flow | 224 | Measurement Technologies (DMT) single-column continuous-flow | ||
225 | streamwise thermal gradient chamber (CFSTGC; Roberts and Nenes, 2005) | 225 | streamwise thermal gradient chamber (CFSTGC; Roberts and Nenes, 2005) | ||
226 | was deployed at the measurement site Weissfluhjoch (2700 m a.s.l., | 226 | was deployed at the measurement site Weissfluhjoch (2700 m a.s.l., | ||
227 | LON: 9.806475, LAT: 46.832964) to record the in-situ CCN number | 227 | LON: 9.806475, LAT: 46.832964) to record the in-situ CCN number | ||
228 | concentrations between February 24 and March 8 2019 for different | 228 | concentrations between February 24 and March 8 2019 for different | ||
229 | supersaturations (SS). To account for the difference between the | 229 | supersaturations (SS). To account for the difference between the | ||
230 | ambient (~735 mbar) and the calibration pressure (~800 mbar), the SS | 230 | ambient (~735 mbar) and the calibration pressure (~800 mbar), the SS | ||
231 | reported by the instrument is adjusted by a factor of 0.92. The CFSTGC | 231 | reported by the instrument is adjusted by a factor of 0.92. The CFSTGC | ||
232 | was cycled between 6 discrete SS values ranging from 0.09% to 0.74%, | 232 | was cycled between 6 discrete SS values ranging from 0.09% to 0.74%, | ||
233 | producing a full CCN spectrum every hour. The raw CCN measurements are | 233 | producing a full CCN spectrum every hour. The raw CCN measurements are | ||
234 | filtered to discount periods of transient operation and whenever the | 234 | filtered to discount periods of transient operation and whenever the | ||
235 | room temperature housing the instrument changed sufficiently to induce | 235 | room temperature housing the instrument changed sufficiently to induce | ||
236 | a reset in column temperature. Additional information can be found in | 236 | a reset in column temperature. Additional information can be found in | ||
237 | Section 2.1.2 | 237 | Section 2.1.2 | ||
238 | /acp.copernicus.org/preprints/acp-2020-1036/).\r\n\r\n__Hygroscopicity | 238 | /acp.copernicus.org/preprints/acp-2020-1036/).\r\n\r\n__Hygroscopicity | ||
239 | data:__ The CCN number concentration measurements were directly | 239 | data:__ The CCN number concentration measurements were directly | ||
240 | related to the size distribution and total aerosol concentration data | 240 | related to the size distribution and total aerosol concentration data | ||
241 | measured by the Scanning Mobility Particle Size Spectrometer (SMPS) | 241 | measured by the Scanning Mobility Particle Size Spectrometer (SMPS) | ||
242 | instrument at the same station | 242 | instrument at the same station | ||
243 | (https://www.envidat.ch/dataset/aerosol-data-weissfluhjoch) to infer | 243 | (https://www.envidat.ch/dataset/aerosol-data-weissfluhjoch) to infer | ||
244 | the particles hygroscopicity parameter (kappa). For each SMPS scan, | 244 | the particles hygroscopicity parameter (kappa). For each SMPS scan, | ||
245 | the particles critical dry diameter (Dcr) is estimated by integrating | 245 | the particles critical dry diameter (Dcr) is estimated by integrating | ||
246 | backward the SMPS size distribution, until the aerosol number matches | 246 | backward the SMPS size distribution, until the aerosol number matches | ||
247 | the CCN concentration observed for the same time period as the SMPS | 247 | the CCN concentration observed for the same time period as the SMPS | ||
248 | scan. Assuming the particle chemical composition is internally mixed, | 248 | scan. Assuming the particle chemical composition is internally mixed, | ||
249 | the kappa is determined from Dcr and SS, applying K\u00f6hler theory. | 249 | the kappa is determined from Dcr and SS, applying K\u00f6hler theory. | ||
250 | Additional information can be found in Section 2.2 | 250 | Additional information can be found in Section 2.2 | ||
251 | tps://acp.copernicus.org/preprints/acp-2020-1036/).\r\n\r\n__Predicted | 251 | tps://acp.copernicus.org/preprints/acp-2020-1036/).\r\n\r\n__Predicted | ||
252 | cloud droplet numbers:__ Droplet calculations are carried out with the | 252 | cloud droplet numbers:__ Droplet calculations are carried out with the | ||
253 | physically based aerosol activation parameterization of Morales and | 253 | physically based aerosol activation parameterization of Morales and | ||
254 | Nenes (2014), employing the \u201ccharacteristic velocity\u201d | 254 | Nenes (2014), employing the \u201ccharacteristic velocity\u201d | ||
255 | approach of Morales and Nenes (2010). Aerosol size distribution | 255 | approach of Morales and Nenes (2010). Aerosol size distribution | ||
256 | observations required to predict the cloud droplet numbers and maximum | 256 | observations required to predict the cloud droplet numbers and maximum | ||
257 | in-cloud supersaturation are obtained from the SMPS instrument | 257 | in-cloud supersaturation are obtained from the SMPS instrument | ||
258 | deployed at Weissfluhjoch. The required vertical velocity measurements | 258 | deployed at Weissfluhjoch. The required vertical velocity measurements | ||
259 | are derived from the wind Doppler Lidar | 259 | are derived from the wind Doppler Lidar | ||
260 | (https://www.envidat.ch/dataset/lidar-wind-profiler-data) deployed at | 260 | (https://www.envidat.ch/dataset/lidar-wind-profiler-data) deployed at | ||
261 | Davos Wolfgang and are extracted for the altitude of interest, being | 261 | Davos Wolfgang and are extracted for the altitude of interest, being | ||
262 | 1100 m above ground level for Weissfluhjoch. Additional information | 262 | 1100 m above ground level for Weissfluhjoch. Additional information | ||
263 | can be found in Section 2.3 | 263 | can be found in Section 2.3 | ||
264 | [here](https://acp.copernicus.org/preprints/acp-2020-1036/).\r\n\r\n", | 264 | [here](https://acp.copernicus.org/preprints/acp-2020-1036/).\r\n\r\n", | ||
265 | "num_resources": 3, | 265 | "num_resources": 3, | ||
266 | "num_tags": 9, | 266 | "num_tags": 9, | ||
267 | "organization": { | 267 | "organization": { | ||
268 | "approval_status": "approved", | 268 | "approval_status": "approved", | ||
269 | "created": "2020-12-15T13:23:53.004947", | 269 | "created": "2020-12-15T13:23:53.004947", | ||
270 | "description": "Our lab studies atmospheric processes and their | 270 | "description": "Our lab studies atmospheric processes and their | ||
271 | impacts on climate, health and ecosystems through a combination of | 271 | impacts on climate, health and ecosystems through a combination of | ||
272 | theory, measurement and modelling. A central focus in our research | 272 | theory, measurement and modelling. A central focus in our research | ||
273 | program is atmospheric particulate matter (aerosols), and studies | 273 | program is atmospheric particulate matter (aerosols), and studies | ||
274 | often combine of observations, theory and modeling. We are involved in | 274 | often combine of observations, theory and modeling. We are involved in | ||
275 | the development of aerosol instrumentation, and measurement techniques | 275 | the development of aerosol instrumentation, and measurement techniques | ||
276 | required to study processes and constrain parameters. Our group | 276 | required to study processes and constrain parameters. Our group | ||
277 | develops open-source modules routinely used in air quality and climate | 277 | develops open-source modules routinely used in air quality and climate | ||
278 | models, as well as tools for advanced sensitivity analysis of large | 278 | models, as well as tools for advanced sensitivity analysis of large | ||
279 | codes and model reduction/data discovery through emulation and network | 279 | codes and model reduction/data discovery through emulation and network | ||
280 | analysis. We are also heavily involved in field measurement programs | 280 | analysis. We are also heavily involved in field measurement programs | ||
281 | on understanding the climate and health impacts of ambient aerosol.", | 281 | on understanding the climate and health impacts of ambient aerosol.", | ||
282 | "id": "762494ed-b1ac-40e6-89c7-38b802768e1d", | 282 | "id": "762494ed-b1ac-40e6-89c7-38b802768e1d", | ||
283 | "image_url": | 283 | "image_url": | ||
284 | l.ch/labs/lapi/wp-content/uploads/2019/03/LAPI_Twitter-1920x1080.jpg", | 284 | l.ch/labs/lapi/wp-content/uploads/2019/03/LAPI_Twitter-1920x1080.jpg", | ||
285 | "is_organization": true, | 285 | "is_organization": true, | ||
286 | "name": "laboratory-of-atmospheric-processes-and-their-impacts", | 286 | "name": "laboratory-of-atmospheric-processes-and-their-impacts", | ||
287 | "state": "active", | 287 | "state": "active", | ||
288 | "title": "LAPI", | 288 | "title": "LAPI", | ||
289 | "type": "organization" | 289 | "type": "organization" | ||
290 | }, | 290 | }, | ||
291 | "owner_org": "762494ed-b1ac-40e6-89c7-38b802768e1d", | 291 | "owner_org": "762494ed-b1ac-40e6-89c7-38b802768e1d", | ||
292 | "private": false, | 292 | "private": false, | ||
293 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | 293 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | ||
294 | \"EnviDat\"}", | 294 | \"EnviDat\"}", | ||
t | 295 | "publication_state": "approved", | t | 295 | "publication_state": "published", |
296 | "related_datasets": "* Wieder, J\u00f6rg; R\u00f6sch, Carolin | 296 | "related_datasets": "* Wieder, J\u00f6rg; R\u00f6sch, Carolin | ||
297 | (2020). Aerosol Data Weissfluhjoch. EnviDat. | 297 | (2020). Aerosol Data Weissfluhjoch. EnviDat. | ||
298 | doi:10.16904/envidat.156\r\n* Hervo, Maxim (2020). Wind LIDAR Davos | 298 | doi:10.16904/envidat.156\r\n* Hervo, Maxim (2020). Wind LIDAR Davos | ||
299 | Wolfgang. EnviDat. doi:10.16904/envidat.131.", | 299 | Wolfgang. EnviDat. doi:10.16904/envidat.131.", | ||
300 | "related_publications": "* Georgakaki, P., Bougiatioti, A., Wieder, | 300 | "related_publications": "* Georgakaki, P., Bougiatioti, A., Wieder, | ||
301 | J., Mignani, C., Ramelli, F., Kanji, Z. A., Henneberger, J., Hervo, | 301 | J., Mignani, C., Ramelli, F., Kanji, Z. A., Henneberger, J., Hervo, | ||
302 | M., Berne, A., Lohmann, U., and Nenes, A.: __On the drivers of droplet | 302 | M., Berne, A., Lohmann, U., and Nenes, A.: __On the drivers of droplet | ||
303 | variability in Alpine mixed-phase clouds__, Atmos. Chem. Phys. | 303 | variability in Alpine mixed-phase clouds__, Atmos. Chem. Phys. | ||
304 | Discuss., https://doi.org/10.5194/acp-2020-1036, in review, 2020.", | 304 | Discuss., https://doi.org/10.5194/acp-2020-1036, in review, 2020.", | ||
305 | "relationships_as_object": [], | 305 | "relationships_as_object": [], | ||
306 | "relationships_as_subject": [], | 306 | "relationships_as_subject": [], | ||
307 | "resource_type": "datapaper", | 307 | "resource_type": "datapaper", | ||
308 | "resource_type_general": "datapaper", | 308 | "resource_type_general": "datapaper", | ||
309 | "resources": [ | 309 | "resources": [ | ||
310 | { | 310 | { | ||
311 | "cache_last_updated": null, | 311 | "cache_last_updated": null, | ||
312 | "cache_url": null, | 312 | "cache_url": null, | ||
313 | "created": "2020-12-11T19:50:51.499256", | 313 | "created": "2020-12-11T19:50:51.499256", | ||
314 | "description": "In-situ CCN measurements were conducted between | 314 | "description": "In-situ CCN measurements were conducted between | ||
315 | February 24 and March 8 2019 at Weissfluhjoch. The data file | 315 | February 24 and March 8 2019 at Weissfluhjoch. The data file | ||
316 | contains:\r\n \r\n* Date and time (DD/MM/YYYY hh:mm:ss) in UTC\r\n* | 316 | contains:\r\n \r\n* Date and time (DD/MM/YYYY hh:mm:ss) in UTC\r\n* | ||
317 | Filtered CCN number concentrations (in cm\u02c9\u00b3) measured at 6 | 317 | Filtered CCN number concentrations (in cm\u02c9\u00b3) measured at 6 | ||
318 | discrete supersaturations (SS) ranging from 0.09% to 0.74%. The name | 318 | discrete supersaturations (SS) ranging from 0.09% to 0.74%. The name | ||
319 | of each CCN column is indicative of the SS developed within the | 319 | of each CCN column is indicative of the SS developed within the | ||
320 | instrument.\r\n* Instrument characteristics such as sample temperature | 320 | instrument.\r\n* Instrument characteristics such as sample temperature | ||
321 | (in \u00b0C) and pressure (in mbar)\r\n* A code that refers to the | 321 | (in \u00b0C) and pressure (in mbar)\r\n* A code that refers to the | ||
322 | reason of filtering. \r\n\r\nMissing or filtered CCN values are | 322 | reason of filtering. \r\n\r\nMissing or filtered CCN values are | ||
323 | indicated by \"-999\", while a declaration of each \"Error_code\" can | 323 | indicated by \"-999\", while a declaration of each \"Error_code\" can | ||
324 | be found in the following list:\r\n\r\n_Error_code_:\r\n\r\n__0000__: | 324 | be found in the following list:\r\n\r\n_Error_code_:\r\n\r\n__0000__: | ||
325 | Measurements without error\r\n\r\n__1000__: Period of transient | 325 | Measurements without error\r\n\r\n__1000__: Period of transient | ||
326 | operation after a supersaturation change\r\n\r\n__2000__: Sharp change | 326 | operation after a supersaturation change\r\n\r\n__2000__: Sharp change | ||
327 | (decrease) in the room temperature housing the instrument, which | 327 | (decrease) in the room temperature housing the instrument, which | ||
328 | induces a reset in column temperature\r\n\r\n__3000__: Irregular | 328 | induces a reset in column temperature\r\n\r\n__3000__: Irregular | ||
329 | values in the room temperature housing the instrument\r\n\r\n__9999__: | 329 | values in the room temperature housing the instrument\r\n\r\n__9999__: | ||
330 | Missing data\r\n\r\n", | 330 | Missing data\r\n\r\n", | ||
331 | "doi": "", | 331 | "doi": "", | ||
332 | "format": "CSV", | 332 | "format": "CSV", | ||
333 | "hash": "", | 333 | "hash": "", | ||
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335 | "last_modified": "2020-12-16T19:53:11.076144", | 335 | "last_modified": "2020-12-16T19:53:11.076144", | ||
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338 | "mimetype_inner": null, | 338 | "mimetype_inner": null, | ||
339 | "name": "CCN data Weissfluhjoch", | 339 | "name": "CCN data Weissfluhjoch", | ||
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347 | "size": 79738661, | 347 | "size": 79738661, | ||
348 | "state": "active", | 348 | "state": "active", | ||
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350 | rce/80b5fb31-8f82-4648-bc82-d11373bd186a/download/ccnspectrumwfj.csv", | 350 | rce/80b5fb31-8f82-4648-bc82-d11373bd186a/download/ccnspectrumwfj.csv", | ||
351 | "url_type": "upload" | 351 | "url_type": "upload" | ||
352 | }, | 352 | }, | ||
353 | { | 353 | { | ||
354 | "cache_last_updated": null, | 354 | "cache_last_updated": null, | ||
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356 | "created": "2020-12-11T20:31:09.511836", | 356 | "created": "2020-12-11T20:31:09.511836", | ||
357 | "description": "The aerosol hygroscopicity parameter is derived | 357 | "description": "The aerosol hygroscopicity parameter is derived | ||
358 | combining the CCN and SMPS size distribution data collected between | 358 | combining the CCN and SMPS size distribution data collected between | ||
359 | February 24 and March 8 2019 at Weissfluhjoch. The data file | 359 | February 24 and March 8 2019 at Weissfluhjoch. The data file | ||
360 | contains:\r\n\r\n* Date and time (DD/MM/YYYY hh:mm:ss) in UTC\r\n* The | 360 | contains:\r\n\r\n* Date and time (DD/MM/YYYY hh:mm:ss) in UTC\r\n* The | ||
361 | instrument supersaturation (SS%)\r\n* The calculated hygroscopicity | 361 | instrument supersaturation (SS%)\r\n* The calculated hygroscopicity | ||
362 | parameter (kappa)\r\n* The calculated critical dry diameter of the | 362 | parameter (kappa)\r\n* The calculated critical dry diameter of the | ||
363 | particles (Dcr) in nm.\r\n\r\nMissing values are indicated by | 363 | particles (Dcr) in nm.\r\n\r\nMissing values are indicated by | ||
364 | \"-999\".", | 364 | \"-999\".", | ||
365 | "doi": "", | 365 | "doi": "", | ||
366 | "format": "CSV", | 366 | "format": "CSV", | ||
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385 | "url_type": "upload" | 385 | "url_type": "upload" | ||
386 | }, | 386 | }, | ||
387 | { | 387 | { | ||
388 | "cache_last_updated": null, | 388 | "cache_last_updated": null, | ||
389 | "cache_url": null, | 389 | "cache_url": null, | ||
390 | "created": "2020-12-11T21:05:49.249666", | 390 | "created": "2020-12-11T21:05:49.249666", | ||
391 | "description": "In-situ measurements of aerosol size | 391 | "description": "In-situ measurements of aerosol size | ||
392 | distributions along with updraft velocities collected from a wind | 392 | distributions along with updraft velocities collected from a wind | ||
393 | Doppler Lidar are coupled with a state-of-the art droplet activation | 393 | Doppler Lidar are coupled with a state-of-the art droplet activation | ||
394 | parameterization (Morales and Nenes, 2014) to determine the cloud | 394 | parameterization (Morales and Nenes, 2014) to determine the cloud | ||
395 | droplet number and maximum in-cloud supersaturation that can | 395 | droplet number and maximum in-cloud supersaturation that can | ||
396 | potentially form over the Weissfluhjoch station between February 24 | 396 | potentially form over the Weissfluhjoch station between February 24 | ||
397 | and March 8 2019. For this, a hygroscopicity parameter of 0.25 is | 397 | and March 8 2019. For this, a hygroscopicity parameter of 0.25 is | ||
398 | assumed, according to the CCN-derived values. The data file | 398 | assumed, according to the CCN-derived values. The data file | ||
399 | contains:\r\n\r\n* Date and time (DD/MM/YYYY hh:mm:ss) in UTC\r\n* The | 399 | contains:\r\n\r\n* Date and time (DD/MM/YYYY hh:mm:ss) in UTC\r\n* The | ||
400 | wind-lidar derived standard deviation of updraft velocities (sigma-w) | 400 | wind-lidar derived standard deviation of updraft velocities (sigma-w) | ||
401 | in m/s, used to apply the parameterization employing a single | 401 | in m/s, used to apply the parameterization employing a single | ||
402 | characteristic velocity (Morales and Nenes, 2010)\r\n* The maximum | 402 | characteristic velocity (Morales and Nenes, 2010)\r\n* The maximum | ||
403 | predicted cloud parcel supersaturation (Smax%)\r\n* The total in-situ | 403 | predicted cloud parcel supersaturation (Smax%)\r\n* The total in-situ | ||
404 | aerosol number concentration (Naer) in cm\u02c9\u00b3, measured by the | 404 | aerosol number concentration (Naer) in cm\u02c9\u00b3, measured by the | ||
405 | SMPS\r\n* The predicted cloud droplet numbers (Nd) in | 405 | SMPS\r\n* The predicted cloud droplet numbers (Nd) in | ||
406 | cm\u02c9\u00b3\r\n* The activation fraction (%)", | 406 | cm\u02c9\u00b3\r\n* The activation fraction (%)", | ||
407 | "doi": "", | 407 | "doi": "", | ||
408 | "format": "CSV", | 408 | "format": "CSV", | ||
409 | "hash": "", | 409 | "hash": "", | ||
410 | "id": "f732a28e-10b1-411f-a497-b784e1b716af", | 410 | "id": "f732a28e-10b1-411f-a497-b784e1b716af", | ||
411 | "last_modified": "2020-12-11T21:05:49.059894", | 411 | "last_modified": "2020-12-11T21:05:49.059894", | ||
412 | "metadata_modified": "2020-12-16T09:16:51.505013", | 412 | "metadata_modified": "2020-12-16T09:16:51.505013", | ||
413 | "mimetype": "text/csv", | 413 | "mimetype": "text/csv", | ||
414 | "mimetype_inner": null, | 414 | "mimetype_inner": null, | ||
415 | "name": "Predicted cloud droplet number concentrations | 415 | "name": "Predicted cloud droplet number concentrations | ||
416 | Weissfluhjoch", | 416 | Weissfluhjoch", | ||
417 | "package_id": "ecb08acd-01d0-40e6-ac42-584aab9fc27f", | 417 | "package_id": "ecb08acd-01d0-40e6-ac42-584aab9fc27f", | ||
418 | "position": 2, | 418 | "position": 2, | ||
419 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 419 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
420 | \"\"}", | 420 | \"\"}", | ||
421 | "resource_type": null, | 421 | "resource_type": null, | ||
422 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 422 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
423 | \"shared_secret\": \"\"}", | 423 | \"shared_secret\": \"\"}", | ||
424 | "size": 256123, | 424 | "size": 256123, | ||
425 | "state": "active", | 425 | "state": "active", | ||
426 | "url": | 426 | "url": | ||
427 | 411f-a497-b784e1b716af/download/predicted_droplets_wfj_kappa0.25.csv", | 427 | 411f-a497-b784e1b716af/download/predicted_droplets_wfj_kappa0.25.csv", | ||
428 | "url_type": "upload" | 428 | "url_type": "upload" | ||
429 | } | 429 | } | ||
430 | ], | 430 | ], | ||
431 | "spatial": "{\"type\": \"Point\", \"coordinates\": [9.806475, | 431 | "spatial": "{\"type\": \"Point\", \"coordinates\": [9.806475, | ||
432 | 46.832964]}", | 432 | 46.832964]}", | ||
433 | "spatial_info": "Switzerland", | 433 | "spatial_info": "Switzerland", | ||
434 | "state": "active", | 434 | "state": "active", | ||
435 | "subtitle": "", | 435 | "subtitle": "", | ||
436 | "tags": [ | 436 | "tags": [ | ||
437 | { | 437 | { | ||
438 | "display_name": "CCN", | 438 | "display_name": "CCN", | ||
439 | "id": "2a505e37-d491-40d6-93c1-377ecdb2ae99", | 439 | "id": "2a505e37-d491-40d6-93c1-377ecdb2ae99", | ||
440 | "name": "CCN", | 440 | "name": "CCN", | ||
441 | "state": "active", | 441 | "state": "active", | ||
442 | "vocabulary_id": null | 442 | "vocabulary_id": null | ||
443 | }, | 443 | }, | ||
444 | { | 444 | { | ||
445 | "display_name": "CLOUD DROPLETS", | 445 | "display_name": "CLOUD DROPLETS", | ||
446 | "id": "e4d28afd-f5ed-46a5-841b-ec0625192154", | 446 | "id": "e4d28afd-f5ed-46a5-841b-ec0625192154", | ||
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448 | "state": "active", | 448 | "state": "active", | ||
449 | "vocabulary_id": null | 449 | "vocabulary_id": null | ||
450 | }, | 450 | }, | ||
451 | { | 451 | { | ||
452 | "display_name": "CLOUD MODELING", | 452 | "display_name": "CLOUD MODELING", | ||
453 | "id": "7a88e5ce-3e17-46a7-8c2c-4c9a8bda3da8", | 453 | "id": "7a88e5ce-3e17-46a7-8c2c-4c9a8bda3da8", | ||
454 | "name": "CLOUD MODELING", | 454 | "name": "CLOUD MODELING", | ||
455 | "state": "active", | 455 | "state": "active", | ||
456 | "vocabulary_id": null | 456 | "vocabulary_id": null | ||
457 | }, | 457 | }, | ||
458 | { | 458 | { | ||
459 | "display_name": "DMT CCN CHAMBER", | 459 | "display_name": "DMT CCN CHAMBER", | ||
460 | "id": "05c409a1-65e7-4fb2-858f-0e7fbba2055c", | 460 | "id": "05c409a1-65e7-4fb2-858f-0e7fbba2055c", | ||
461 | "name": "DMT CCN CHAMBER", | 461 | "name": "DMT CCN CHAMBER", | ||
462 | "state": "active", | 462 | "state": "active", | ||
463 | "vocabulary_id": null | 463 | "vocabulary_id": null | ||
464 | }, | 464 | }, | ||
465 | { | 465 | { | ||
466 | "display_name": "HYGROSCOPICITY", | 466 | "display_name": "HYGROSCOPICITY", | ||
467 | "id": "f90d680c-9d3c-45f8-86fd-bd7f2f4eda02", | 467 | "id": "f90d680c-9d3c-45f8-86fd-bd7f2f4eda02", | ||
468 | "name": "HYGROSCOPICITY", | 468 | "name": "HYGROSCOPICITY", | ||
469 | "state": "active", | 469 | "state": "active", | ||
470 | "vocabulary_id": null | 470 | "vocabulary_id": null | ||
471 | }, | 471 | }, | ||
472 | { | 472 | { | ||
473 | "display_name": "RACLETS", | 473 | "display_name": "RACLETS", | ||
474 | "id": "8e54a744-139c-4f81-8a64-6b059187a3b2", | 474 | "id": "8e54a744-139c-4f81-8a64-6b059187a3b2", | ||
475 | "name": "RACLETS", | 475 | "name": "RACLETS", | ||
476 | "state": "active", | 476 | "state": "active", | ||
477 | "vocabulary_id": null | 477 | "vocabulary_id": null | ||
478 | }, | 478 | }, | ||
479 | { | 479 | { | ||
480 | "display_name": "SIGMA-W", | 480 | "display_name": "SIGMA-W", | ||
481 | "id": "5e50b602-d49b-49d3-a170-fcfbb02ed208", | 481 | "id": "5e50b602-d49b-49d3-a170-fcfbb02ed208", | ||
482 | "name": "SIGMA-W", | 482 | "name": "SIGMA-W", | ||
483 | "state": "active", | 483 | "state": "active", | ||
484 | "vocabulary_id": null | 484 | "vocabulary_id": null | ||
485 | }, | 485 | }, | ||
486 | { | 486 | { | ||
487 | "display_name": "SUPERSATURATION", | 487 | "display_name": "SUPERSATURATION", | ||
488 | "id": "cae3e6ff-c9e2-459c-9f0e-5343be114a1c", | 488 | "id": "cae3e6ff-c9e2-459c-9f0e-5343be114a1c", | ||
489 | "name": "SUPERSATURATION", | 489 | "name": "SUPERSATURATION", | ||
490 | "state": "active", | 490 | "state": "active", | ||
491 | "vocabulary_id": null | 491 | "vocabulary_id": null | ||
492 | }, | 492 | }, | ||
493 | { | 493 | { | ||
494 | "display_name": "WEISSFLUHJOCH", | 494 | "display_name": "WEISSFLUHJOCH", | ||
495 | "id": "a9a89b63-a99b-44c2-b6a4-3e05ac2c8cdb", | 495 | "id": "a9a89b63-a99b-44c2-b6a4-3e05ac2c8cdb", | ||
496 | "name": "WEISSFLUHJOCH", | 496 | "name": "WEISSFLUHJOCH", | ||
497 | "state": "active", | 497 | "state": "active", | ||
498 | "vocabulary_id": null | 498 | "vocabulary_id": null | ||
499 | } | 499 | } | ||
500 | ], | 500 | ], | ||
501 | "title": "CCN, hygroscopicity, predicted cloud droplet numbers | 501 | "title": "CCN, hygroscopicity, predicted cloud droplet numbers | ||
502 | Weissfluhjoch", | 502 | Weissfluhjoch", | ||
503 | "type": "dataset", | 503 | "type": "dataset", | ||
504 | "url": null, | 504 | "url": null, | ||
505 | "version": "1.0" | 505 | "version": "1.0" | ||
506 | } | 506 | } |