bac3632d641642988c4abf55c587eed0
English
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
dce27a397eaf47e797050c220972ca0e
dataset
Centre for Environmental Data Analysis (CEDA)
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointOfContact
2024-03-25T00:44:52
UK GEMINI
2.3
WGS 84
ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.4
2019-04-30T13:51:23
publication
2019-04-30T13:51:23
creation
http://catalogue.ceda.ac.uk/uuid/bac3632d641642988c4abf55c587eed0
bac3632d641642988c4abf55c587eed0
Centre for Environmental Data Analysis (CEDA)
esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.PASSIVE.04-4.r1.v20190708
alternative.identifier
The Soil Moisture CCI PASSIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.
The v04.4 PASSIVE product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-06-30. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.
The data set should be cited using all three of the following references:
1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
Dorigo, Wouter
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author
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author
Wagner, Wolfgang
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author
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author
Gruber, A.
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author
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author
Scanlon, T.
Unavailable
author
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author
Hahn, S.
Unavailable
author
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author
Kidd, R.
Unavailable
author
Unavailable
author
Paulik, C
Unavailable
author
Unavailable
author
Reimer, C.
Unavailable
author
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author
Van der Schalie, R.
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author
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author
Preimesberger, Wolfgang
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author
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author
De Jeu, R.
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author
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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
CCI Open Data Portal
point_of_contact
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
soil moisture
ESA
CCI
PASSIVE
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://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_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
1978-11-01T00:00:00
2018-06-30T22:59:59
Data are in NetCDF-4 classic fomat
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/bac3632d641642988c4abf55c587eed0
CEDA Data Catalogue Page
Detail and access information for the resource
information
http://data.ceda.ac.uk/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v04.4/
DOWNLOAD
Download Data
download
http://data.ceda.ac.uk/neodc/esacci/soil_moisture/metadata/sample_images/ESACCI-SOILMOISTURE-L3S-SSMV-PASSIVE-20080401000000-fv02.1.png
Sample Image
No further details.
information
http://www.hydrol-earth-syst-sci.net/15/425/2011/hess-15-425-2011.html
Liu et al., 2011 Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
No further details.
information
http://data.ceda.ac.uk//neodc/esacci/soil_moisture/docs/v04.4/ESA_CCI_Soil_Moisture_D3.3.1_PUG_Revision3_v4.4.pdf
Product User Guide
No further details.
information
http://publik.tuwien.ac.at/files/PubDat_209402.pdf
Wagner, 2012: FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
No further details.
information
https://doi.org/10.1016/j.rse.2017.07.001
Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
No further details.
information
https://doi.org/10.1109/TGRS.2017.2734070
Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070
No further details.
information
https://doi.org/10.1016/j.rse.2012.03.014
Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014
No further details.
information
http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v04.4/ESA_CCI_SM_PSD_D1.2.1_v04.4.pdf
Product Specification Document (PSD) D1.2.1 Version 4.4
No further details.
information
http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v04.4/CCI2_Soil_Moisture_DL2.1_ATBD_v4.4_01_Executive_Summary.pdf
Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 04.4 Executive Summary
No further details.
information
http://data.ceda.ac.uk/neodc/esacci/soil_moisture/docs/v04.4/CCI2_Soil_Moisture_DL2.1_ATBD_v4.4_03_passive.pdf
Algorithm Theoretical Baseline Document (ATBD) D2.1 Version 04.4 Soil Moisture Retrievals from Passive Microwave Sensors
No further details.
information
https://climate.esa.int/projects/soil-moisture/
ESA CCI Soil Moisture project website
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
Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the v04.4 Soil Moisture dataset (doi:10.5285/dce27a397eaf47e797050c220972ca0e. http://dx.doi.org/10.5285/dce27a397eaf47e797050c220972ca0e)