Global multiyear 3D dataset of cloud condensation nuclei derived from spaceborne lidar measurements
Fuente:
PANGAEA
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1867171883737153536 |
|---|---|
| author | Choudhury, Goutam Tesche, Matthias |
| author_facet | Choudhury, Goutam Tesche, Matthias |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_956215 |
| institution | PANGAEA |
| language | en |
| publishDate | 2023 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Global multiyear 3D dataset of cloud condensation nuclei derived from spaceborne lidar measurements Choudhury, Goutam Tesche, Matthias aerosol-cloud interactions; CALIPSO; CALIPSO_NCCN_OMCAM; File content; Global; Global CCN data; lidar remote sensing; netCDF file; netCDF file (File Size); netCDF file (MD5 Hash); OMCAM; SAT; Satellite remote sensing; spaceborne lidar 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. |
| title | Global multiyear 3D dataset of cloud condensation nuclei derived from spaceborne lidar measurements |
| topic | aerosol-cloud interactions; CALIPSO; CALIPSO_NCCN_OMCAM; File content; Global; Global CCN data; lidar remote sensing; netCDF file; netCDF file (File Size); netCDF file (MD5 Hash); OMCAM; SAT; Satellite remote sensing; spaceborne lidar |
| url | https://doi.org/10.1594/PANGAEA.956215 |