Gridded database of empirical scaling factors for CMIP5 models

Collection Title:

Gridded database of empirical scaling factors for CMIP5 models

Collection Description:

The empirical scaling factors can be used to guide the plausible range of changes in the climate variables within impact-adaption-vulnerability assessment under climate change. The gridded dataset of all the scaling factors are produced at the spatial resolution of 0.5o×0.5o with the name ScalingFactor_0.5. In the dataset, there are 6 subfold... moreers named as prcp, pexm, pet, tas, tasmax and tasmin representing scaling factors of precipitation, extreme high daily rainfall, potential evapotranspiration, mean temperature, maximum temperature and minimum temperature. In the subfolder, each text file represents the scaling factors of each GCM model and each run. less

Field of Research:

Climate Change Processes ;  Climatology (excl. Climate Change Processes)

DOI:

https://doi.org/10.4225/08/588057d69322f

Contact:Hongxing Zheng
 Hongxing.Zheng@csiro.au
Keywords:

climate ;  modelling ;  scaling factors ;  climate change ;  SDIP

Related Links:

:

Database of CMIP5 climate change projections across south Asia

Licence:

Creative Commons Attribution-ShareAlike 4.0 International Licence

Organisations:

CSIRO (Australia)

Attribution Statement:

Zheng, Hongxing (2016): Gridded database of empirical scaling factors for CMIP5 models. v2. CSIRO. Data Collection. https://doi.org/10.4225/08/588057d69322f

Rights Statement:

All Rights (including copyright) CSIRO 2016.

Access:

The metadata and files (if any) are available to the public.