ENSEMBLES STREAM2 METO-HC-HADCM3C 20C3M run1, 6 and 12 hourly instantaneous values

Johns, Tim C.

Experiment
Summary
These data represent 6 and 12 hourly instantaneous values of selected variables for
ENSEMBLES (http://www.ensembles-eu.org). The list of output variables can
be found in: http://ensembles.wdc-climate.de/output-variables.
The HadCM3C model output was prepared for the ENSEMBLES experiment using
UM run ahkyp (1859-2000). The model was initialised from a HadCM3C
preindustrial control run with fixed 1860 forcing conditions.
Although the model contains an interactive land/ocean carbon cycle,
anthropogenic forcings (only) were prescribed to follow observed
concentration values rather than emissions, i.e. prescribed
changes in concentrations of: CO2, CH4, N2O, CFC11, CFC12, CFC113,
HCFC22, Ozone. Sulphur-cycle emissions also provide a forcing input.
No variations were made to solar radiation and volcanic aerosols.
The output datasets are available in netCDF format.
The dataset names are composed of: centre/model acronym (METO-HC_HadCM3C);
scenario acronym (e.g. SRA1B: SRES A1B); run number (e.g. 1: run 1);
time sampling abbreviation (MM: monthly mean, DM: daily mean,
D0: daily instantaneous at 0 UTC, 12H: 12-hourly instantaneous,
6H: 6-hourly instantaneous); variable acronym [with level value] (e.g.
hur850: relative humidity, 850 hPa) -->
example: METO-HC_HadGEM2AO_20C3M_1_6H_hur850.
Project
ENSEMBLES (Production of seasonal to decadal hindcasts and climate change scenarios)
Location(s)
World (global)
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90 Altitude: -2.7 m to 50 hPa
Temporal Coverage
1859-12-01 to 1999-12-01 (360_day)
Use constraints
According to Ensembles Data Policy (http://ensembles-eu.metoffice.com/docs/Ensembles_Data_Policy_261108.pdf)
Data Catalog
World Data Center for Climate
Size
97.46 GiB (104646038400 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Cite as
Johns, Tim C. (2009). ENSEMBLES METO-HC-HADCM3C 20C3M run1, 6 and 12 hourly instantaneous values. World Data Center for Climate (WDCC) at DKRZ. https://hdl.handle.net/21.14106/92b78e793b5bfe29ad43d3fa47916815875fa360

BibTeX RIS
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Is described by

[1] DOI Pope, V. D.; Gallani, M. L.; Rowntree, P. R.; Stratton, R. A. (2000). The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3. doi:10.1007/s003820050009
[2] DOI Gordon, C.; Cooper, C.; Senior, C. A.; Banks, H.; Gregory, J. M.; Johns, T. C.; Mitchell, J. F. B.; Wood, R. A. (2000). The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. doi:10.1007/s003820050010
[3] Booth, B. B. B.; Jones, C. D.; Collins, M.; Totterdell, I. J.; Cox, P. M.; Sitch, S.; Huntingford, C.; Betts, R. A. (2009). Global warming uncertainties due to carbon cycle feedbacks exceed those due to CO2 emissions. https://ui.adsabs.harvard.edu/abs/2009EGUGA..11.4179B
[4] DOI Murphy, J.M; Booth, B.B.B; Collins, M; Harris, G.R; Sexton, D.M.H; Webb, M.J. (2007). A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles. doi:10.1098/rsta.2007.2077
[5] Cox, P.M. (2001). Description of the TRIFFID dynamic global vegetation model. http://www.metoffice.gov.uk/publications/HCTN/HCTN_24.pdf

Attached Datasets ( 21 )

Details for selected entry
[Entry acronym: ENSEMBLES2_HADCM3C_20C3M_1_6H12] [Entry id: 2214146]