087d4c75ace04e59a71d95c1c44918f9
English
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
caa9f45738d34e4cb1208ae0d72b5e79
dataset
Centre for Environmental Data Analysis (CEDA)
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointOfContact
2024-03-28T15:53:17
UK GEMINI
2.3
WGS 84
HadEX3: Global land-surface climate extremes indices v3.0.3 (1901-2018)
2020-12-17T14:55:37
publication
2020-12-17T14:55:37
creation
http://catalogue.ceda.ac.uk/uuid/087d4c75ace04e59a71d95c1c44918f9
087d4c75ace04e59a71d95c1c44918f9
Centre for Environmental Data Analysis (CEDA)
HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive).
Spatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.
All indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').
Version 3.0.3 was added due to an error in how the Rx1day and Rx5day data were being handled for one of the West African data sources. More details can be found in the HadEX3 blog under 'Details/Docs' tab.
Dunn, Robert J. H.
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Alexander, Lisa
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Donat, Markus
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Zhang, Xuebin
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Bador, Margot
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Herold, Nicholas
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Lippmann, Tanya
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Allan, Robert J.
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Aguilar, Enric
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Aziz, Abdoul
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Brunet, Manola
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Caesar, John
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Chagnaud, Guillaume
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Cheng, Vincent
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Cinco, Thelma
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Durre, Imke
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de Guzman, Rosaline
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Htay, Tin Mar
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Wan Ibadullah, Wan Maisarah
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Bin Ibrahim, Muhammad Khairul Izzat
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Khoshkam, Mahbobeh
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Kruge, Andries
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Kubota, Hisayuki
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Leng, Tan Wee
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Lim, Gerald
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Li-Sha, Lim
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Marengo, Jose
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Mbatha, Sifiso
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McGree, Simon
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Menne, Matthew
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de los Milagros Skansi, Maria
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Ngwenya, Sandile
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Nkrumah, Francis
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Oonariya, Chalump
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Pabon-Caicedo, Jose Daniel
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Panthou, Geremy
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Pham, Cham
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Rahimzadeh, Fatemeh
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Ramos, Andrea
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Salgado, Ernesto
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Salinger, Jim
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Sane, Youssouph
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Sopaheluwakan, Ardhasena
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Srivastava, Arvind
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Sun, Ying
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Trimbal, Bertrand
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Trachow, Nichanun
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Trewin, Blair
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van der Schrier, Gerard
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Vazquez-Aguirre, Jorge
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Vasquez, Ricardo
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Villarroel, Claudia
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Vincent, Lucie
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Vischel, Theo
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Vose, Russ
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Bin Hj Yussof, Mohd Noor' Arifin
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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
NERC EDS Centre for Environmental Data Analysis
point_of_contact
01235446432
RAL Space
STFC Rutherford Appleton Laboratory, Harwell Campus
Didcot
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointofContact
Dunn, Robert J. H.
Unavailable
point_of_contact
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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
HadEX3
indicies
temperature
monthly
annual
land
surface
climate
atmospheric conditions
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://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ . When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
grid
English
climatologyMeteorologyAtmosphere
-180.0
180.0
-90.0
90.0
1901-01-01T00:00:00
2018-12-31T23:59:59
Data are provided in NetCDF formats.
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/087d4c75ace04e59a71d95c1c44918f9
CEDA Data Catalogue Page
Detail and access information for the resource
information
http://data.ceda.ac.uk/badc/ukmo-hadobs/data/derived/MOHC/HadOBS/HadEX3/v3-0-3/
DOWNLOAD
Download Data
download
http://etccdi.pacificclimate.org/
ETCCDI at Pacific Climate Impacts Consortium
No further details.
information
https://hadex-extremes.blogspot.com/
HadEX3 blog
No further details.
information
https://www.metoffice.gov.uk/hadobs/hadex3/
HadEX3 homepage (HadOBS)
No further details.
information
https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019JD032263
HadEX3 Paper
No further details.
information
https://www.climdex.org/
Climdex
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 produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
HadEX3 is a dataset of gridded land-surface temperature and precipitation extremes indices and was produced by the Met Office Hadley Centre in collaboration with the ARC Centre of Excellence for Climate Extremes at the University of New South Wales and many data contributors from institutes and organisations around the world. The extremes indices were developed by the former WMO Expert Team on Climate Change Detection and Indices (ETCCDI) and derived from daily, station-based observations. These have undergone quality control checks and then been blended into a gridded product using an angular distance weighting routine.