Dataset: CCN, hygroscopicity, predicted cloud droplet numbers Weissfluhjoch
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Updated 17 Dec 2020
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The dataset on this page is a cache of the dataset https://data.europa.eu/data/datasets/ecb08acd-01d0-40e6-ac42-584aab9fc27f-envidat. It is a snapshot of the dataset as it appeared on 08 Jul 2021 03:43 GMT. The current dataset could have changed in the meantime. Attribution: Contains information © European Union licensed under reuse policy of the European Commission.
Cloud Condensation Nuclei (CCN) data: A Droplet Measurement Technologies (DMT) single-column continuous-flow streamwise thermal gradient chamber (CFSTGC; Roberts and Nenes, 2005) was deployed at the measurement site Weissfluhjoch (2700 m a.s.l., LON: 9.806475, LAT: 46.832964) to record the in-situ CCN number concentrations between February 24 and March 8 2019 for different supersaturations (SS). To account for the difference between the ambient (~735 mbar) and the calibration pressure (~800 mbar), the SS reported by the instrument is adjusted by a factor of 0.92. The CFSTGC was cycled between 6 discrete SS values ranging from 0.09% to 0.74%, producing a full CCN spectrum every hour. The raw CCN measurements are filtered to discount periods of transient operation and whenever the room temperature housing the instrument changed sufficiently to induce a reset in column temperature. Additional information can be found in Section 2.1.2 [here](https://acp.copernicus.org/preprints/acp-2020-10...
|Dataset:||CCN, hygroscopicity, predicted cloud droplet numbers Weissfluhjoch|
|Provider:||EU Open Data Portal|
|Licence:||License information is derived automatically. Refer to source for license information before using this data.|
"CCN, hygroscopicity, predicted cloud droplet numbers Weissfluhjoch" contains the following resources:
- csv - Hygroscopicity parameter WeissfluhjochThe aerosol hygroscopicity parameter is derived combining the CCN and SMPS size distribution data collected between February 24 and March 8 2019 at Weissfluhjoch. The data file contains: * Date and time (DD/MM/YYYY hh:mm:ss) in UTC * The instrument supersaturation (SS%) * The calculated hygroscopicity parameter (kappa) * The calculated critical dry diameter of the particles (Dcr) in nm. Missing values are indicated by "-999".
- csv - CCN data WeissfluhjochIn-situ CCN measurements were conducted between February 24 and March 8 2019 at Weissfluhjoch. The data file contains: * Date and time (DD/MM/YYYY hh:mm:ss) in UTC * Filtered CCN number concentrations (in cmˉ³) measured at 6 discrete supersaturations (SS) ranging from 0.09% to 0.74%. The name of each CCN column is indicative of the SS developed within the instrument. * Instrument characteristics such as sample temperature (in °C) and pressure (in mbar) * A code that refers to the reason of filtering. Missing or filtered CCN values are indicated by "-999", while a declaration of each "Error_code" can be found in the following list: _Error_code_: 0000: Measurements without error 1000: Period of transient operation after a supersaturation change 2000: Sharp change (decrease) in the room temperature housing the instrument, which induces a reset in column temperature 3000: Irregular values in the room temperature housing the instrument 9999: Missing data
- csv - Predicted cloud droplet number concentrations WeissfluhjochIn-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Weissfluhjoch station between February 24 and March 8 2019. For this, a hygroscopicity parameter of 0.25 is assumed, according to the CCN-derived values. The data file contains: * Date and time (DD/MM/YYYY hh:mm:ss) in UTC * The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010) * The maximum predicted cloud parcel supersaturation (Smax%) * The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS * The predicted cloud droplet numbers (Nd) in cmˉ³ * The activation fraction (%)
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