Mr Jarraud stressed the need for better observations and more
downscaled climate change scenarios and modeling to underpin climate knowledge and action, as embodied by the WMO - spearheaded Global Framework for Climate Services.
In order to download
the downscaled climate change scenarios, users are required to log - in to the page using an OpenID account.
Not exact matches
Climate change projections were based on an ensemble of four General Circulation Models (UKMO HadCM3, MPIM ECHAM5, CSIRO MK3.5 and GFDL CM2.1),
downscaled to 10 minutes [32], considering three emissions
scenarios (B2, A1B and A2) for 1975 (mean 1961 — 1990), 2050 (mean 2041 — 2060) and 2090 (mean 2081 — 2100).
R.E. Benestad (2002), Empirically
downscaled multi-model ensemble temperature and precipitation
scenarios for Norway, Journal of
Climate Vol 51, No. 21, 3008 - 3027 R.E. Benestad (2003) What can present climate models tell us about climate
Climate Vol 51, No. 21, 3008 - 3027 R.E. Benestad (2003) What can present
climate models tell us about climate
climate models tell us about
climate climate change?
In the rekognition of the uncertainties, the IPCC Good - Practice - Guidance - Paper on using
climate model results offers some wise advice (first bullet point under section 3.5 on p. 10): the local
climate change scenarios should be based on (i) historical
change, (ii) process
change (e.g.
changes in the driving circulation), (iii) global
climate change projected by GCMs, and (iv)
downscaled projected
change.
The analysis also follows the advice in the IPCC Good - Practice - Guidance - Paper on using
climate model results: the local
climate change scenarios should be based on (i) historical
change, (ii) process
change (e.g.
changes in the driving circulation), (iii) global
climate change projected by GCMs, and (iv)
downscaled projected
change.
Dynamical versus statistical
downscaling for the generation of regional
climate change scenarios at a Western Mediterranean basin: the Júcar River District
Methodological advances since the TAR have focused on exploring the effects of different ways of
downscaling from the
climate model scale to the catchment scale (e.g., Wood et al., 2004), the use of regional
climate models to create
scenarios or drive hydrological models (e.g., Arnell et al., 2003; Shabalova et al., 2003; Andreasson et al., 2004; Meleshko et al., 2004; Payne et al., 2004; Kay et al., 2006b; Fowler et al., 2007; Graham et al., 2007a, b; Prudhomme and Davies, 2007), ways of applying
scenarios to observed
climate data (Drogue et al., 2004), and the effect of hydrological model uncertainty on estimated impacts of
climate change (Arnell, 2005).
In the last 10 years,
downscaling techniques, both dynamical (i.e. Regional
Climate Model) and statistical methods, have been developed to obtain fine resolution climate change sce
Climate Model) and statistical methods, have been developed to obtain fine resolution
climate change sce
climate change scenarios.
Our 2015 study examines the impact of 21st - century projected
climate changes (CMIP5, RCP4.5
scenario) on a number of tropical cyclone metrics, using the GFDL hurricane model to
downscale storms in all basins from one of the lower resolution global atmospheric models mentioned above.
The first paper (Flower et al., 2013) used
downscaled climate data from global
climate models, subject to three different emissions
scenarios, to examine the effect of projected
climate change on the distribution of Douglas Fir and three types of spruce.
Working from a set of projections from eight different global
climate models being driven by three different emissions
scenarios, the authors used statistical
downscaling to drive a hydrology model to determine what
changes could be seen to the hydrology of these regions.