MODIS_ACDNC Adiabatic Cloud Droplet Number Concentration daily value

Quaas, Johannes; Boucher, Olivier

MODIS_ACDNC Adiabatic Cloud Droplet Number Concentration daily value

doi:10.1594/WDCC/MODIS_CDNC

Quaas, Johannes; Boucher, Olivier

ExperimentDOI

MODIS satellite

Summary: Cloud droplet number concentration is derived from MODerate Resolution Imager Spectroradiometer (MODIS) data from NASA's Terra platform.
The MOD08_D3 daily data (collection 4 processing stream) on a grid of 1x1 degrees is used, which can be downloaded from http://eosdata.gsfc.nasa.gov/daac-bin/MODIS/Data_order.pl.
From the joint histrogram of cloud optical thickness (COD) and cloud-top droplet effective radius (CDR) for liquid water clouds, CDNC is diagnosed assuming adiabatic clouds.
Project: MODIS (MODIS data)
Contact: Prof. Dr. Johannes Quaas (
johannes.quaas@nulluni-leipzig.de
0000-0001-7057-194X)
Location(s): World (general)
Spatial Coverage: Longitude -180 to 180 Latitude -90 to 90 Altitude: 0 m
Temporal Coverage: 2000-03-01 to 2005-02-28 (calendrical)
Use constraints: unrestricted
Data Catalog: World Data Center for Climate
Size: 452.88 MiB (474878840 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2005-09-27

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Cite as: Quaas, Johannes; Boucher, Olivier (2005). MODIS_ACDNC Adiabatic Cloud Droplet Number Concentration daily value. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/MODIS_CDNC

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Accuracy report

CDNC data is derived from MODIS-retrieved cloud optical thickness and cloud-top droplet effective radius. Liquid water clouds only are used, and COD a...

Description: CDNC data is derived from MODIS-retrieved cloud optical thickness and cloud-top droplet effective radius. Liquid water clouds only are used, and COD and CDR are restricted to their most reliable values (4um <= CDR <= 30um and 4 <= COD <= 70; Nakajima and King, J. Atmos. Sci., 1990).
However, for MODIS-retrieved CDR, problems are known (Breon and Doutriaux-Boucher, IEEE Trans. Geosci. Remote Sens., 2005). The assumption of adiabacity may not necessarily be valid, even though large regions are considered.
We recommend to use CDNC for statistical studies rather than to rely on absolute accuracy in single regions or short time-periods.

Completeness report

Missing values occur due to entirely clear sky grid-boxes (where thus no cloud retrieval is possible) or due to other retrieval problems (e.g.,instrum...

Description: Missing values occur due to entirely clear sky grid-boxes (where thus no cloud retrieval is possible) or due to other retrieval problems (e.g.,instrument failure or unsuitable viewing geometries).

FAIR

F-UJI result: total 62 %

Description: Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 4 of 10 level
Method: F-UJI online v2.2.1 automated
Method Description: Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url: https://www.f-uji.net
Result Date: 2022-12-13

Contact type	Person	ORCID	Organization
Contact	Prof. Dr. Johannes Quaas	0000-0001-7057-194X	Max-Planck-Institut fuer Meteorologie
Author	Prof. Dr. Johannes Quaas	0000-0001-7057-194X	Max-Planck-Institut fuer Meteorologie
Author	Olivier Boucher	0000-0003-2328-5769	CNRS/Universite des Sciences et Technologies de Lille
Investigator	Prof. Dr. Johannes Quaas	0000-0001-7057-194X	Max-Planck-Institut fuer Meteorologie
Metadata	Dr. Hans Luthardt	-	Max-Planck-Institut fuer Meteorologie (MD)

Is described by

[1] DOI Quaas, J.; Boucher, O.; Lohmann, U. (2005). Constraining the total aerosol indirect effect in the LMDZ and ECHAM4 GCMs using MODIS satellite data. doi:10.5194/acpd-5-9669-2005

Attached Datasets ( 1 )

Parent project(s)

MODIS data

[Entry acronym: MODIS_CDNC] [Entry id: 2066450]