I want to downscale future precipitation data for my project but I have only 12 years data of observed precipitation data. Could anyone let me know if it is sufficient to use and would it generate appropriate future scenarios?
it depends whether or not the period also covers wet and dry, but also normal years. If you apply the SDS to derive management strategies, for instance, it is okay unless you are aware of the "uncertainties". However, if you want to publish the results in a scientific journal, it will be difficult. As you certainly know, at least 30 years are taken.
But it also depends on the SDS methodology ...
minimum 30 years observational data is required for statistical downscaling
for reference "The weather generation game: a review of stochastic weather models "
http://journals.sagepub.com/doi/abs/10.1177/030913339902300302
No, minimum periodo required is 30 years (climatilogical data). However in differents regions, such as mountain in tropical areas the period IS more than 30 years.
12 years of observed data is not sufficient, you must have at least 30 years to predict future scenarios.
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