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Rare B-climate-organisms
plant I-climate-organisms
habitat B-climate-organisms
are O
the O
most O
vulnerable O
components O
of O
vegetation B-climate-nature
cover O
under O
climate O
change O
. O
Climate O
variables O
from O
CHELSA B-climate-datasets
BIOCLIM I-climate-datasets
and O
topographic B-climate-nature
variables O
of O
the O
digital O
elevation O
model O
were O
used O
as O
predictors O
. O
-DOCSTART- -X- O O177fb96a74adc70ab4926d35ed94d4f0
In O
this O
study O
, O
we O
propose O
a O
statistical O
methodological O
framework O
to O
assess O
the O
quality O
of O
the O
EURO O
- O
CORDEX O
RCMs O
concerning O
their O
ability O
to O
simulate O
historic O
observed O
climate O
( O
temperature B-climate-properties
and O
precipitation B-climate-nature
) O
. O
In O
particular O
, O
the O
proposed O
methodology O
is O
applied O
to O
the O
Sicily O
and O
Calabria O
regions O
( O
Southern O
Italy O
) O
, O
where O
long O
historical O
precipitation B-climate-nature
and O
temperature B-climate-properties
series O
were O