Dear Researchers,
I am using SDSM for statistical downscaling and keen to know that which I should prefer to use GCMs or RCMs output. Keep in mind that my study area is high elevated about 3700 m a.m.sl to 4800 m a.m.sl and 137, 000 Sq.km.
I have longterm daily temperatures and precipitaions data not uniformly located observation stations.
Please share your expertise, for each temperatures and precipitaion separately.
Regards
Naveed.
Dear naveed
i use MERRA data for my work and you can trust it too.
-BEST
Hi,
You should spatially bias-correct the RCM data with the available station dataset you have.
Sdsm seems to take GCMs.
You should try state of the art Bias correcting methods. That would give you more robust results.
I think MERRA is also too coarse. Well, it depends on the objective of your study.
You can validate the GCM or RCM output data with available observation data, then you select the better output data for the downscaling.
Use RCM output. This is recommended in several scientific publications
George Zittis Many thanks and good suggestion. I get this book and found very helpful.
Regrads
Naveed.
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