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We O |
analyzed O |
the O |
spatiotemporal O |
evolution O |
of O |
drought B-climate-hazards |
frequency O |
in O |
China O |
at O |
grid O |
level O |
during O |
1981 O |
- O |
2019 O |
with O |
the O |
nonparametric O |
Mann O |
- O |
Kendall O |
trend O |
method O |
, O |
using O |
a O |
high O |
temporal O |
resolution O |
vegetation O |
health O |
index O |
dataset O |
at O |
week O |
- O |
scale O |
. O |
-DOCSTART- -X- O O 2dfebda6e02f88d0d1d7df6a0cbb4557 |
Building B-climate-assets |
upon O |
a O |
recent O |
examination O |
of O |
the O |
univariate O |
relationships O |
between O |
synoptic O |
- O |
scale O |
weather O |
patterns O |
and O |
water B-climate-properties |
clarity I-climate-properties |
, O |
this O |
research O |
utilizes O |
nonlinear O |
autoregressive O |
models O |
with O |
exogenous O |
input O |
( O |
NARX O |
models O |
) O |
to O |
explore O |
the O |
multivariate O |
climate O |
- O |
to O |
- O |
water O |
clarity O |
relationship O |
. O |
-DOCSTART- -X- O O 717f130d80cbcb1070976c2f6fc5996f |
The O |
effects O |
of O |
CCV O |
are O |
assessed O |
in O |
relation O |
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