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, O
radiative B-climate-nature
, O
and O
hydrological B-climate-nature
properties O
were O
evaluated O
using O
Landsat B-climate-observations
image O
- O
derived O
biophysical O
indices O
. O
-DOCSTART- -X- O O 373a3d9c5fab0d6cfe45f0b08ed9073f
This O
study O
employs O
sensitivity O
analysis O
on O
an O
emulated O
perturbed O
parameter O
ensemble O
of O
the O
global O
aerosol O
- O
climate O
model O
ECHAM B-climate-models
- I-climate-models
HAM I-climate-models
to O
illuminate O
the O
impact O
of O
selected O
CMP O
cloud B-climate-nature
ice I-climate-nature
processes I-climate-nature
on O
model O
output O
. O
-DOCSTART- -X- O O e5ce48dcee8b8303ee0cf585a999c317
The O
first O
experimental O
evidence O
that O
radio O
occultation O
data O
may O
have O
a O
positive O
impact O
on O
weather B-climate-nature
prediction O
systems O
was O
obtained O
from O
statistical O
comparisons O
of O
the O
GPS B-climate-observations
/ I-climate-observations
MET I-climate-observations
retrieved O
refractivity B-climate-properties
and O
temperature B-climate-properties
profiles O
to O
global O
Numerical O
Weather O
Prediction O
( O
NWP O
) O
model O
analysis O
. O