Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Choudhury, Goutam; Tesche, Matthias (2023): Global multiyear 3D dataset of cloud condensation nuclei derived from spaceborne lidar measurements [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.956215

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
We present a novel multiyear global dataset of height-resolved number concentrations of cloud condensation nuclei (NCCN) at a supersaturation of 0.20 %. The NCCN is estimated from the spaceborne CALIPSO (Cloud-Aerosol Lidar and Infra-Red Pathfinder Satellite Observation) lidar measurements using the OMCAM (Optical Modeling of CALIPSO Aerosol Microphysics) algorithm. The data also includes aerosol-type-specific NCCN for five aerosol types: dust, marine, polluted continental, elevated smoke, and clean continental. It has a monthly resolution, covering the time period from June 2006 to December 2021. We further provide a 3D climatology of aerosol-type-specific NCCN estimated from the complete time series. Data are provided as yearly netCDF files (netCDF version 4), given at a horizontal latitude-longitude grid of 2° × 5° and a vertical resolution of 60 m.
Keyword(s):
aerosol-cloud interactions; CALIPSO; Global CCN data; lidar remote sensing; OMCAM; spaceborne lidar
Supplement to:
Choudhury, Goutam; Tesche, Matthias (2023): A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements. Earth System Science Data, 15(8), 3747-3760, https://doi.org/10.5194/essd-15-3747-2023
References:
Choudhury, Goutam; Ansmann, Albert; Tesche, Matthias (2022): Evaluation of aerosol number concentrations from CALIPSO with ATom airborne in situ measurements. Atmospheric Chemistry and Physics, 22(11), 7143-7161, https://doi.org/10.5194/acp-22-7143-2022
Choudhury, Goutam; Tesche, Matthias (2022): Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements. Remote Sensing, 14(14), 3342, https://doi.org/10.3390/rs14143342
Choudhury, Goutam; Tesche, Matthias (2022): Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements. Atmospheric Measurement Techniques, 15(3), 639-654, https://doi.org/10.5194/amt-15-639-2022
Funding:
German Academic Exchange Service (DAAD), grant/award no. 57429422: Franco–German Fellowship Programme on Climate, Energy, and Earth System Research (Make Our Planet Great Again – German Research Initiative, MOPGA-GRI)
Event(s):
CALIPSO_NCCN_OMCAM * Location: Global * Method/Device: Satellite remote sensing (SAT)
Comment:
CCN data is produced from CALIPSO level 2 version 4.20/4.21 aerosol profile product.
Algorithm is described in Choudhury and Tesche (2022).
----
File content:
(1) File CCN_climatology_cloudfree_8km.nc contains a 3D climatology for the observed time range - year-round and per season.
(2) The other netCDF files (each file for one year) contain data in monthy resolution.
----
Variables and Dimensions in (1):
- lon (lon): longitude
- lat (lat): latitude
- altitude (altitude): altitude
- seasons (seasons): index of seasons: 1-Winter (DJF), 2-Spring(MAM), 3-Summer (JJA), and 4-Autumn (SON)
- NDO (lon, lat): Number of days observed with aerosol extinction >= 0 km^-1
- CCN_cl (lon, lat, altitude): climatology of cloud condensation nuclei concentration at 0.2% ss
- CCN_cl_d (lon, lat, altitude): dust CCN climatology at 0.2% ss
- CCN_cl_cc (lon, lat, altitude): clean continental CCN climatology at 0.2% ss
- CCN_cl_es (lon, lat, altitude): elevated smoke CCN climatology at 0.2% ss
- CCN_cl_m (lon, lat, altitude): marine CCN climatology at 0.2% ss
- CCN_cl_pc (lon, lat, altitude): polluted continental CCN climatology at 0.2% ss
- CCN_cl_sn (lon, lat, altitude, seasons): seasonal climatology of cloud condensation nuclei concentration at 0.2% ss
- CCN_cl_sn_d (lon, lat, altitude, seasons): dust CCN seasonal climatology at 0.2% ss
- CCN_cl_sn_cc (lon, lat, altitude, seasons): clean continental CCN climatology at 0.2% ss
- CCN_cl_sn_es (lon, lat, altitude, seasons): elevated smoke CCN seasonal climatology at 0.2% ss
- CCN_cl_sn_m (lon, lat, altitude, seasons): marine CCN climatology at 0.2% ss
- CCN_cl_sn_pc (lon, lat, altitude, seasons): polluted continental CCN seasonal climatology at 0.2% ss
----
Variables and Dimensions in (2):
- lon (lon): longitude
- lat (lat): latitude
- altitude (altitude): altitude
- time (time): time
- CCN (lon, lat, altitude, time): cloud condensation nuclei concentration at 0.2% ss
- CCN_cc (lon, lat, altitude, time): clean continental CCN at 0.2% ss
- CCN_d (lon, lat, altitude, time): dust CCN at 0.2% ss
- CCN_es (lon, lat, altitude, time): elevated smoke CCN at 0.2% ss
- CCN_m (lon, lat, altitude, time): marine CCN at 0.2% ss
- CCN_pc (lon, lat, altitude, time): polluted continental CCN at 0.2% ss
- DMO (lon, lat, time): days of month observed with aerosol extinction coefficient >= 0
- N (lon, lat, altitude, time): bin counts with extinction coefficient >= 0
- N_cc (lon, lat, altitude, time): bin counts with clean continental extinction coefficient >= 0
- N_d (lon, lat, altitude, time): bin counts with dust extinction coefficient >= 0
- N_es (lon, lat, altitude, time): bin counts with elevated smoke extinction coefficient >= 0
- N_m (lon, lat, altitude, time): bin counts with marine extinction coefficient >= 0
- N_pc (lon, lat, altitude, time): bin counts with polluted continental extinction coefficient >= 0
- Na (lon, lat, altitude, time): bin counts with extinction coefficient > 0
- Na_cc (lon, lat, altitude, time): bin counts with clean continental extinction coefficient > 0
- Na_d (lon, lat, altitude, time): bin counts with dust extinction coefficient > 0
- Na_es (lon, lat, altitude, time): bin counts with elevated smoke extinction coefficient > 0
- Na_m (lon, lat, altitude, time): bin counts with marine extinction coefficient > 0
- Na_pc (lon, lat, altitude, time): bin counts with polluted continental extinction coefficient > 0
- P (lon, lat, altitude, time): pressure
- T (lon, lat, altitude, time): temperature
- CCN_std (lon, lat, altitude, time): Standard deviation of cloud condensation nuclei concentration at 0.2% ss
- CCN_cc_std (lon, lat, altitude, time): Standard deviation of clean continental CCN at 0.2% ss
- CCN_d_std (lon, lat, altitude, time): Standard deviation of dust CCN at 0.2% ss
- CCN_es_std (lon, lat, altitude, time): Standard deviation of elevated smoke CCN at 0.2% ss
- CCN_m_std (lon, lat, altitude, time): Standard deviation of marine CCN at 0.2% ss
- CCN_pc _std (lon, lat, altitude, time): Standard deviation of polluted continental CCN at 0.2% ss
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1netCDF filenetCDFChoudhury, Goutam
2netCDF file (File Size)netCDF (Size)BytesChoudhury, Goutam
3netCDF file (MD5 Hash)netCDF (Hash)Choudhury, Goutam
4File contentContentChoudhury, Goutam
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
34 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML