Dataset Identification:

Resource Abstract:
<p> <span style="">Using the simple anomaly method (modifying a historical baseline with differences or ratios projected by General Circulation Models), scientists from the California Academy of Sciences downscaled monthly average temperature and monthly total precipitation from 16 different global circulation models (GCMs). The GCMs were described in the latest Intergovernmental Panel for Climate Change (IPCC 2007) and archived at the WCRP PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Monthly maximum temperature and monthly minimum temperatures were downscaled from the only 6 GCMs that archived these particular variables. Scientists used Worldclim v.1.4 (Hijmans et al 2005) at 5 arc-minute (~10km) spatial grain as the current climate baseline averaged over the period 1950-2000.&nbsp; They assessed future change simulated by each GCM by calculating the difference (or ratio) between historical and future conditions projected by the climate models thus creating anomalies. Each monthly climate variable was averaged for 20 years of GCM simulation, supporting time series analyses from 2000 through 2099. Seasonal climate variables were generated by averaging values for three months (ex. winter conditions correspond to the average climate for </span>December, January and February<span style="">). Two sets of future climate projections are available, corresponding to either the regional economic A2 or the global environmental and equitable B1 greenhouse gas emissions scenarios. Every spatial climate data layer has a corresponding layer representing the standard deviation across time and GCMs, which gives an estimate of the variability of the climate during the 20 years and across the various GCMs (16 or 6) used to calculate the average. The final dataset includes 128 spatial climate layers, and their corresponding standard deviations (another 128 files) at a 10km spatial grain for the terrestrial fraction of the globe.</span></p> <br /> <br /> Related datasets and documentation can be found in the Databasin gallery at: http://app.databasin.org/app/pages/galleryPage.jsp?id=2a47360040364876b37a52657793faa6
Citation
Title Standard deviation for fall maximum temperature (Celsius), 2060-2079, 6 GCMs, B1 emission scenario
Original Data Basin Creation Date  Date   2010-09-24
Original Data Basin Modified Date  Date   2010-11-05
Topic Category:  geoscientificInformation
Keywords
temperature
climate change
downscale
gcm
impacts analysis
emissions scenario
precipitation
thesaurus name >
Title Data Basin
revision  Date   2018-06-27
Resource language:  eng
Resource extent
Geographic Extent
Geographic Bounding Box
westBoundLongitude  -180
eastBoundLongitude  135.0385
northBoundLatitude  83.5833
southBoundLatitude  -60.0453
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Digital Transfer Options
Linkage for online resource
name ScienceBase Item Summary Page
URL:https://www.sciencebase.gov/catalog/item/537f6c48e4b021317a87227a
protocol WWW:LINK-1.0-http--link
link function information
Description Link to the ScienceBase Item Summary page for the item described by this metadata record
target application profile  Web Browser
Linkage for online resource
name Owner Profile Page
URL:http://databasin.org/people/hhamilton
protocol WWW:LINK-1.0-http--link
link function information
Description Web Link
target application profile  Web Browser
Metadata data stamp:  2014-05-23T15:42:00Z
Metadata Constraints
Constraints
Use limitation statement:
none
Metadata contact - owner
organisation Name  Healy Hamilton
Contact information
Metadata scope code  dataset
Metadata language  eng USA
Metadata character set encoding:   utf8
Metadata standard for this record:  ISO19115
standard version:  1.0
Metadata record identifier:  537f6c48e4b021317a87227a
URI for dataset described: > https://www.sciencebase.gov/catalog/item/537f6c48e4b021317a87227a

Metadata record format is ISO19139 XML (MD_Metadata)