Gridded database of empirical scaling factors for CMIP5 models

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About this Collection

Gridded database of empirical scaling factors for CMIP5 models

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... more

Climate Change Processes Climatology (excl. Climate Change Processes)

Hongxing Zheng

climate modelling scaling factors climate change SDIP


Database of CMIP5 climate change projections across south Asia


Creative Commons Attribution-ShareAlike 4.0 International Licence

CSIRO (Australia)

Zheng, Hongxing (2016): Gridded database of empirical scaling factors for CMIP5 models. v2. CSIRO. Data Collection.

All Rights (including copyright) CSIRO 2016.

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

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Location Details

30°0′0″ N

20°0′0″ N

95°0′0″ E

60°0′0″ E


About this Project

SDIP1 wrap-up

The Sustainable Development Investment Portfolio (SDIP) is an Australian government initiative with the goal of increasing water, food and energy security in South Asia, targeting the poorest and most vulnerable, particularly women and girls. CSIRO is one of several partners that are delivering this initiative. The SDIP focuses on three major river... more

Mobin Ahmad

climate change scaling factors

The database presents 'empirical scaling factors' for 0.5 grids. These reflect changes in six climate variables (precipitation, heavy precipitation, potential evaporation, daily average temperature, daily maximum temperature and daily minimum temperature).


Hongxing Zheng

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