Datasets:
ibm-research
/
Climate-Change-NER

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that O
are O
characterised O
by O
deep O
thermoclines B-climate-nature
and O
high O
wind B-climate-nature
forcing O
, O
to O
assess O
their O
sensitivity O
to O
changes O
in O
climate O
. O
Predictions O
from O
downscaled O
global O
circulation O
models O
suggest O
an O
increase O
in O
mean B-climate-properties
air I-climate-properties
temperature I-climate-properties
, O
rainfall B-climate-nature
, O
and O
wind B-climate-nature
speeds I-climate-nature
. O
Compared O
to O
large O
, O
deep O
lakes B-climate-nature
in O
the O
Northern O
Hemisphere O
, O
the O
predicted O
warming O
rates O
in O
Lakes O
Wanaka O
and O
Wakatipu O
are O
slower O
, O
due O
partly O
to O
a O
lower O
predicted O
rate O
of O
atmospheric B-climate-nature
warming O
and O
the O
absence O
of O
winter O
ice B-climate-nature
cover I-climate-nature
in O
these O
lakes B-climate-nature
. O
-DOCSTART- -X- O Od9ffd2dae96f109cd4b978d80fd873da
Abstract O
Aerosol B-climate-nature
feedbacks O
are O
becoming O
more O
accepted O
as O
physical O
mechanisms O
that O