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season O
when O
more O
traditional O
forages B-climate-assets
may O
not O
be O
as O
productive O
. O
-DOCSTART- -X- O O https://semanticscholar.org/paper/ca3e1e5839cae43662262e4dfa93e6cec0e87b4d
Assessing O
Relations O
Between O
Changes O
in O
Tropical B-climate-hazards
Cyclone I-climate-hazards
Intensity O
and O
Lightning B-climate-hazards
Patterns O
Using O
GIS O
Based O
Methods O
. O
1 O
. O
Most O
previous O
efforts O
have O
focused O
on O
a O
relatively O
small O
number O
of O
storms B-climate-nature
in O
near O
- O
coastal B-climate-nature
areas O
using O
data O
from O
the O
National B-climate-datasets
Lightning I-climate-datasets
Detection I-climate-datasets
Network I-climate-datasets
( O
NLDN B-climate-datasets
) O
. O
Vaisala B-climate-organizations
’s O
recently O
developed O
Long B-climate-datasets
Range I-climate-datasets
Lightning I-climate-datasets
Detection I-climate-datasets
Network I-climate-datasets
( O
LLDN B-climate-datasets
) O
now O
allows O
us O
to O
examine O
lightning B-climate-hazards
in O
storms B-climate-nature
that O
are O
well O
offshore O
. O
The O
LLDN B-climate-datasets
consists O
of O
sensors O
from O
the O
NLDN B-climate-datasets
, O
the O
Canadian B-climate-datasets