Weather and Climate Extremes,
Journal Year:
2024,
Volume and Issue:
44, P. 100687 - 100687
Published: May 15, 2024
We
document
1394
extreme
precipitation
events
(EPEs)
over
Aotearoa
New
Zealand's
(ANZ)
Regional
Councils
between
March
1996
and
December
2021.
The
characteristics
of
EPEs
are
documented
using
a
novel
spatio-temporal
framework
that
diagnoses
the
peak
intensity,
duration,
accumulation
EPE
ERA-5
MERRA-2
reanalysis
products.
Properties
were
evaluated
according
to
region
across
ANZ,
clear
regional
differences
highlighted.
In
particular,
it
is
found
duration
an
has
stronger
influence
than
intensity
on
total
accumulated
all
regions
event
types
(large-scale
or
convective).
Since
larger
accumulations
have
greater
potential
cause
extensive
flooding
areas,
important
implication
need
for
numerical
weather
prediction
in
ANZ
forecast
intense
adequately
order
improve
emergency
preparedness.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(3), P. 530 - 530
Published: Feb. 4, 2025
This
study
introduces
methods
for
generating
fused
precipitation
data
by
applying
radial
basis
function
(RBF)
interpolation,
which
integrates
radar
reflectivity-based
with
ground-based
gauge
measurements.
Rain
gauges
provide
direct
point
rainfall
measurements
near
the
ground,
while
radars
capture
spatial
variability
of
precipitation.
However,
radar-based
estimates,
particularly
extreme
events,
often
lack
accuracy
due
to
their
indirect
derivation
from
reflectivity.
The
aims
produce
high-resolution
gridded
ground
merging
estimates
precise
rain
were
sourced
automated
synoptic
observing
systems
(ASOSs)
and
automatic
weather
(AWSs),
data,
based
on
hybrid
surface
(HSR)
composites,
all
provided
Korea
Meteorological
Administration
(KMA).
Although
RBF
interpolation
is
a
well-established
technique,
its
application
unprecedented.
To
validate
proposed
method,
it
was
compared
traditional
approaches,
including
mean
field
bias
(MFB)
adjustment
kriging-based
such
as
regression
kriging
(RK)
external
drift
(KED).
Leave-one-out
cross-validation
(LOOCV)
performed
assess
errors
analyzing
overall
error
statistics,
errors,
in
intensity
data.
results
showed
that
RBF-based
method
outperformed
others
terms
accuracy.
Environmental Research Infrastructure and Sustainability,
Journal Year:
2025,
Volume and Issue:
5(1), P. 015019 - 015019
Published: March 4, 2025
Abstract
Wildfires
and
post-fire
debris
flows
(PFDFs)
threaten
California
infrastructure
are
evolving
with
climate
change.
There
is
significant
focus
on
the
threat
of
utility-caused
wildfires
because
electric
power
equipment
has
triggered
leading
to
major
damage.
California’s
ambitious
targets
rely
electrification
transport
industry.
As
state
modernizes
its
electricity
system
support
increased
demand,
it
must
consider
future
hazards.
To
date,
there
no
rigorous
characterization
intersection
fire
threat,
PFDFs,
electrical
infrastructure.
We
estimate
wildfire
PFDF
transmission
lines,
substations,
generators
in
assess
vulnerability
utilities
by
intersecting
current
using
two
global
models
representative
concentration
pathways.
find
clean,
dispatchable
(e.g.
hydroelectric
nuclear)
small,
publicly-owned
most
vulnerable.
Increasing
threats
will
require
additional
resources
consideration
distribution.
AGU Advances,
Journal Year:
2025,
Volume and Issue:
6(2)
Published: April 1, 2025
Abstract
The
co‐occurrence
of
multiple
hazards
is
growing
concern
globally
as
the
frequency
and
magnitude
extreme
climate
events
increases.
Despite
studies
examining
spatial
distribution
such
events,
there
has
been
little
work
in
if
all
relevant
life
threatening
damaging
are
captured
existing
hazard
databases
by
common
metrics.
For
example,
local/regional
flash
flooding
seldom
optical
satellite
instruments
subsequently
excluded
from
global
databases.
Similarly,
heat
definitions
most
frequently
used
multi‐hazard
inherently
fail
to
capture
that
life‐threatening
but
climatologically
within
an
expected
range.
Our
goal
determine
potential
for
increasing
event
detection
capabilities
inferring
additional
footprints
widely
accessible
data.
We
use
daily
precipitation
temperature
data
develop
open‐source
framework
infers
not
included
traditional
methods.
With
state
Texas
our
study
area,
we
detected
2.5
times
many
flood
hazards,
equivalent
$320
million
property
crop
damages.
Furthermore,
expanded
definition
increases
impacted
area
56.6%,
91.5
over
18
year
period.
Increasing
expanding
using
temporal
resolutions
at
which
detected.
Having
more
complete
sets
extents
improves
ability
track
trends
accurately
exposure
inequities.
Theoretical and Natural Science,
Journal Year:
2025,
Volume and Issue:
87(1), P. 52 - 61
Published: Jan. 15, 2025
This
article
obtains
nearly
18
years
of
precipitation
data
for
Guangzhou
from
the
National
Centers
Environmental
Information
(NCEI)
under
Oceanic
and
Atmospheric
Administration
(NOAA)
conducts
visualization
analysis
modeling
predictions
using
R
software.Using
classic
SARIMA
model
(the
ARIMA
with
seasonal
components)
as
well
regression
residual
models
to
build
simulate
series.We
also
used
Basic-bootstrap
prediction,
which
involves
resampling
residuals
fitted
replacement,
historical
values
predict
future
obtain
a
parameter,
Full-bootstrap
prediction
(which
assumes
that
have
uncertainty
estimated
coefficients
themselves
uncertainty).Therefore,
not
only
are
reasonable
obtained
through
bootstrap
method,
but
multiple
parameters
derived
this
method
determine
more
parameters,
then
forecast
next
12
periods
model.
Comparing
results
four
models,
showed
best
predictive
performance.
The
study
found
there
is
no
significant
trend
in
changes
over
time,
short-term
fluctuations
still
exist.
Although
some
extreme
appeared,
they
remain
within
predictable
range.Therefore,
relevant
city
government
departments
prone
rainfall
can
make
adjustments
drainage
facilities
based
on
local
forecasts
