fb3750f5b2544403873f8788b3ed7817
English
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
8cf12c9d19db4797a7549c74cef6c03e
dataset
Centre for Environmental Data Analysis (CEDA)
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointOfContact
2024-03-29T00:55:17
UK GEMINI
2.3
WGS 84
ESA Cloud Climate Change Initiative (Cloud CCI): AVHRR-AM monthly gridded cloud properties, version 3.0
2020-03-26T09:43:03
publication
2020-03-26T09:43:03
creation
http://catalogue.ceda.ac.uk/uuid/fb3750f5b2544403873f8788b3ed7817
fb3750f5b2544403873f8788b3ed7817
Centre for Environmental Data Analysis (CEDA)
esacci.CLOUD.mon.L3C.CLD_PRODUCTS.multi-sensor.multi-platform.AVHRR-AM.3-0.r1.v20200422
alternative.identifier
The Cloud_cci AVHRR-AMv3 dataset (covering 1991-2016) was generated within the Cloud_cci project which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements.
This dataset is based on AVHRR (onboard NOAA-12, NOAA-15, NOAA-17, Metop-A) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL; Sus et al., 2018; McGarragh et al., 2018) retrieval framework. The core cloud properties contained in the Cloud_cci AVHRR-AMv3 dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. The cloud properties are available at different processing levels: This particular dataset contains Level-3C (monthly averages and histograms) data, while Level-3U (globally gridded, unaveraged data fields) is also available as a separate dataset. Pixel-based uncertainty estimates come along with all properties and have been propagated into the Level-3C data.
The data in this dataset are a subset of the AVHRR-AM L3C / L3U cloud products version 3.0 dataset produced by the ESA Cloud_cci project available from https://dx.doi.org/doi:10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V003. To cite the full dataset, please use the following citation: Stengel, Martin; Sus, Oliver; Stapelberg, Stefan; Finkensieper, Stephan; Würzler, Benjamin; Philipp, Daniel; Hollmann, Rainer; Poulsen, Caroline (2019): ESA Cloud Climate Change Initiative (ESA Cloud_cci) data: Cloud_cci AVHRR-AM L3C/L3U CLD_PRODUCTS v3.0, Deutscher Wetterdienst (DWD), DOI:10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V003.
Stengel, Martin
Unavailable
author
Unavailable
author
Sus, Oliver
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author
Unavailable
author
Stapelberg, Stefan
Unavailable
author
Unavailable
author
Finkensieper, Stephan
Unavailable
author
Unavailable
author
Würzler, Benjamin
Unavailable
author
Unavailable
author
Philipp, Daniel
Unavailable
author
Unavailable
author
Hollmann, Rainer
Unavailable
author
Unavailable
author
Poulsen, Caroline A.
Unavailable
author
Unavailable
author
Centre for Environmental Data Analysis (CEDA)
custodian
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
custodian
Centre for Environmental Data Analysis (CEDA)
distributor
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
distributor
Centre for Environmental Data Analysis (CEDA)
point_of_contact
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointofContact
Centre for Environmental Data Analysis (CEDA)
publisher
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
publisher
notPlanned
dataset
cloud
Metop-A
NOAA-12
NOAA-15
NOAA-17
AVHRR-2
AVHRR-3
ESA
CCI
orthoimagery
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
otherRestrictions
Public data: access to these data is available to both registered and non-registered users.
otherRestrictions
Use of these data is covered by the following licence: http://licences.ceda.ac.uk/image/data_access_condition/esacci_cloud_terms_and_conditions.pdf . When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
grid
English
imageryBaseMapsEarthCover
-180.0
180.0
-90.0
90.0
1991-09-01T00:00:00
2016-12-31T23:00:00
Data are netCDF formatted.
Centre for Environmental Data Analysis (CEDA)
Data Center Contact
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
distributor
http://catalogue.ceda.ac.uk/uuid/fb3750f5b2544403873f8788b3ed7817
CEDA Data Catalogue Page
Detail and access information for the resource
information
http://data.ceda.ac.uk/neodc/esacci/cloud/data/version3/L3C/AVHRR-AM/v3.0/
DOWNLOAD
Download Data
download
https://climate.esa.int/projects/cloud/
ESA CCI Cloud project website
No further details.
information
http://cci.esa.int
ESA's Climate Change Initiative (CCI) webpage
No further details.
information
https://public.satproj.klima.dwd.de/data/ESA_Cloud_CCI/DOIs/v3.0/DOI_ESA_Cloud_cci_AVHRR-AM_V003_landingpage.html
ESA Cloud_cci cloud property datasets retrieved from passive satellite sensors: AVHRR-AM L3C/L3U cloud products - Version 3.0
No further details.
information
https://doi.org/10.5194/essd-9-881-2017
Previous dataset version (v2.0): Stengel et al., 2017: Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project, Earth Syst. Sci. Data, 9, 881-904, https://doi.org/10.5194/essd-9-881-2017, 2017
No further details.
information
https://doi.org/10.5194/amt-11-3397-2018
McGarragh et al., 2018: The Community Cloud retrieval for CLimate (CC4CL) Part 2: The optimal estimation approach, Atmos. Meas. Tech., 11, 3397-3431, https://doi.org/10.5194/amt-11-3397-2018, 2018
No further details.
information
https://doi.org/10.5194/amt-11-3373-2018
Sus et al., 2018: The Community Cloud retrieval for CLimate (CC4CL) Part 1: A framework applied to multiple satellite imaging sensors, Atmos. Meas. Tech., 11, 3373-3396, https://doi.org/10.5194/amt-11-3373-2018, 2018
No further details.
information
https://doi.org/10.5194/essd-12-41-2020
Stengel et al. (2020): Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties, Earth Syst. Sci. Data, 12, 4160, https://doi.org/10.5194/essd-12-41-2020, 2020.
No further details.
information
https://climate.esa.int/media/documents/Cloud_Algorithm-Theoretical-Baseline-Document-ATBD-CC4CL_v6.2.pdf
CC4CL algorithm description (ATBD CC4CL)
No further details.
information
https://climate.esa.int/media/documents/Cloud_Algorithm-Theoretical-Baseline-Document-ATBD_v6.2.pdf
Overarching algorithm description (ATBD)
No further details.
information
https://climate.esa.int/media/documents/Cloud_Product-Validation-and-Intercomparison-Report-PVIR_v6.0.pdf
Product Validation and Intercomparison Report
No further details.
information
https://climate.esa.int/media/documents/Cloud_Product-User-Guide-PUG_v5.1.pdf
Product User Guide
No further details.
information
dataset
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
The data here form a subset of the AVHRR-AM v3.0 products produced by the ESA Cloud CCI, a copy of which has been supplied to the Centre for Environmental Data Analysis in the context of the ESA CCI Open Data Portal Project. The full dataset is collectively referenced by the following DOI: Stengel, Martin; Sus, Oliver; Stapelberg, Stefan; Finkensieper, Stephan; Würzler, Benjamin; Philipp, Daniel; Hollmann, Rainer; Poulsen, Caroline (2019): ESA Cloud Climate Change Initiative (ESA Cloud_cci) data: Cloud_cci AVHRR-AM L3C/L3U CLD_PRODUCTS v3.0, Deutscher Wetterdienst (DWD), DOI:10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V003.