Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset

Link:
Autor/in:
Beteiligte Person:
  • Mülmenstädt, Johannes
Verlag/Körperschaft:
World Data Center for Climate (WDCC) at DKRZ
Erscheinungsjahr:
2018
Medientyp:
Datensatz
Schlagworte:
  • Climate
  • Cloudbase
  • cloud base
Beschreibung:
  • Project: Cloudbase: satellite-derived cloud base heights - The Cloudbase project aims to provide datasets of satellite-derived cloud base heights and their uncertainties. Summary: Attenuated backscatter profiles from the CALIOP satellite lidar are used to estimate cloud base heights of lower-troposphere liquid clouds (cloud base height below approximately 3 km). Even when clouds are thick enough to attenuate the lidar beam (optical thickness > 5), the technique provides cloud base heights by treating the cloud base height of nearby thinner clouds as representative of the surrounding cloud field. Using ground-based ceilometer data, uncertainty estimates for the cloud base height product at retrieval resolution are derived as a function of various properties of the CALIOP lidar profiles. Evaluation of the predicted cloud base heights and their predicted uncertainty using a second, statistically independent, ceilometer dataset shows that cloud base heights and uncertainties are biased by less than 10%. CBASE provides two files for each CALIOP VFM input file: one using a 40 km window to detect the cloud field base height, and one using a 100 km window. (The input CALIOP VFM dataset is organized by the daytime/nighttime half of each orbit.) The file name pattern is CBASE_T
Beziehungen:
DOI 10.5194/essd-2018-43
Lizenz:
  • Creative Commons Attribution 4.0 International (CC BY 4.0)
Quellsystem:
Forschungsdaten DKRZ

Interne Metadaten
Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_3590248_20180503