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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)


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


Hongxing Zheng
Hongxing.Zheng@csiro.au

climate modelling scaling factors climate change SDIP


:

Database of CMIP5 climate change projections across south Asia

Attribution

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


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


WGS84


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).


Modelling


Hongxing Zheng


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