Water Resources Research,
Год журнала:
2025,
Номер
61(1)
Опубликована: Янв. 1, 2025
Abstract
Climate
models
simulate
extreme
precipitation
under
nonstationarity
due
to
continuous
climate
change.
However,
systematic
errors
in
local‐scale
projections
are
often
corrected
using
stationary
or
quasi‐stationary
methods
without
explicit
and
treatment,
like
quantile
mapping
(QM),
detrended
QM,
delta
mapping.
To
bridge
this
gap,
we
introduce
nonstationary
QM
(NS‐QM)
its
simplified
version
for
consistent
patterns
(CNS‐QM).
Besides,
correction
approaches
extremes
rely
on
limited
extreme‐event
records.
leverage
ordinary‐event
information
while
focusing
extremes,
propose
integrating
the
Metastatistical
value
(SMEV)
distribution
into
NS‐QM
CNS‐QM
(NS‐QM‐SMEV
CNS‐QM‐SMEV).
We
demonstrate
superiority
of
NS‐
CNS‐QM‐SMEV
over
existing
through
a
simulation
study
show
several
real‐world
applications
high‐resolution‐regional
coarse‐resolution‐global
models.
reflect
more
realistically
but
may
encounter
challenges
data
limitations
estimation
uncertainty,
particularly
most
events.
These
issues,
shared
by
approaches,
effectively
mitigated
SMEV
distribution.
offer
lower
error,
approximate
unbiasedness,
reduced
improved
representation
entire
distribution,
especially
samples
∼70
years,
greater
with
larger
samples.
perform
competitively
short
exhibit
substantial
biases
quantile‐quantile
matching
bypassing
modeling.
avoid
these
biases,
adhering
better
their
theoretical
functioning.
Thus,
enhance
nonstationarity.
Yet,
properly
identifying
is
crucial
reliable
implementations.
Climate Dynamics,
Год журнала:
2021,
Номер
57(1-2), С. 275 - 302
Опубликована: Апрель 9, 2021
Abstract
Here
we
present
the
first
multi-model
ensemble
of
regional
climate
simulations
at
kilometer-scale
horizontal
grid
spacing
over
a
decade
long
period.
A
total
23
run
with
$$\sim
$$
∼
3
km,
driven
by
ERA-Interim
reanalysis,
and
performed
22
European
research
groups
are
analysed.
Six
different
models
(RCMs)
represented
in
ensemble.
The
compared
against
available
high-resolution
precipitation
observations
coarse
resolution
(
12
km)
RCMs
parameterized
convection.
model
respect
to
mean
precipitation,
intensity
frequency,
heavy
on
daily
hourly
timescales
seasons.
results
show
that
produce
more
realistic
representation
than
RCMs.
most
significant
improvements
found
for
frequency
both
time
scales
summer
season.
In
general,
tend
intense
reduced
wet-hour
models.
On
average,
shows
reduction
bias
from
\,$$
−40%
km
−3%
summer.
Furthermore,
uncertainty
ranges
i.e.
variability
between
wet
hour
is
half
use
Although
differences
still
exist,
it
evident
these
superior
coarse-resolution
RCM
representing
present-day
climate,
thus
offer
promising
way
forward
investigations
change
local
scales.
Wiley Interdisciplinary Reviews Climate Change,
Год журнала:
2021,
Номер
12(6)
Опубликована: Авг. 16, 2021
Abstract
Approximately
10
years
ago,
convection‐permitting
regional
climate
models
(CPRCMs)
emerged
as
a
promising
computationally
affordable
tool
to
produce
fine
resolution
(1–4
km)
decadal‐long
simulations
with
explicitly
resolved
deep
convection.
This
explicit
representation
is
expected
reduce
projection
uncertainty
related
convection
parameterizations
found
in
most
models.
A
recent
surge
CPRCM
decadal
over
larger
domains,
sometimes
covering
continents,
has
led
important
insights
into
advantages
and
limitations.
Furthermore,
new
observational
gridded
datasets
spatial
temporal
(~1
km;
~1
h)
resolutions
have
leveraged
additional
knowledge
through
evaluations
of
the
added
value
CPRCMs.
With
an
improved
coordination
frame
ongoing
international
initiatives,
production
ensembles
provide
more
robust
projections
better
identification
their
associated
uncertainties.
review
paper
presents
overview
methodology
latest
research
on
current
future
climates.
Impact
studies
that
are
already
taking
advantage
these
highlighted.
ends
by
proposing
next
steps
could
be
accomplished
continue
exploiting
full
potential
article
categorized
under:
Climate
Models
Modeling
>
Earth
System
Journal of Hydrologic Engineering,
Год журнала:
2021,
Номер
26(10)
Опубликована: Авг. 3, 2021
One
of
the
most
important
impacts
a
future
warmer
climate
is
projected
increase
in
frequency
and
intensity
extreme
rainfall
events.
This
increasing
trend
seen
both
observational
record
model
projections.
However,
thorough
review
recent
scientific
literature
paints
complex
picture
which
intensification
extremes
depends
on
multitude
factors.
While
some
indices
follow
Clausius-Clapeyron
relationship
scaling
an
∼7%
per
1°C
warming,
there
substantial
evidence
that
this
frequency,
with
longer
return
period
events
seeing
larger
increases,
leading
to
super
cases.
The
now
well
documented
at
daily
scale
but
less
clear
subdaily
scale.
In
years,
simulations
finer
spatial
temporal
resolution,
including
convection-permitting
models,
have
provided
more
reliable
projections
rainfall.
Recent
analyses
indicate
may
also
as
function
duration,
such
shorter-duration,
will
likely
see
largest
increases
climate.
has
broad
implications
design
use
intensity–duration–frequency
(IDF)
curves,
for
overall
magnitude
steepening
can
be
predicted.
paper
presents
overview
measures
been
adopted
by
various
governing
bodies
adapt
IDF
curves
changing
Current
vary
from
multiplying
historical
simple
constant
percentage
modulating
correction
factors
based
periods
them
temperature
increases.
All
these
current
fail
recognize
possible
and,
perhaps
importantly,
toward
shorter-duration
significantly
impact
stormwater
runoff
cities
small
rural
catchments.
discusses
remaining
gaps
offers
technical
recommendations
practitioners
how
improve
resilience.
Climate Dynamics,
Год журнала:
2022,
Номер
60(1-2), С. 65 - 86
Опубликована: Май 10, 2022
Abstract
A
comprehensive
assessment
of
twenty-first
century
climate
change
in
the
European
Alps
is
presented.
The
analysis
based
on
EURO-CORDEX
regional
model
ensemble
available
at
two
grid
spacings
(12.5
and
50
km)
for
three
different
greenhouse
gas
emission
scenarios
(RCPs
2.6,
4.5
8.5).
core
simulation
has
been
subject
to
a
dedicated
evaluation
exercise
carried
out
frame
CH2018
Climate
Scenarios
Switzerland.
Results
reveal
that
entire
Alpine
region
will
face
warmer
course
all
considered.
Strongest
warming
projected
summer
season,
regions
south
main
ridge
high-end
RCP
8.5
scenario.
Depending
medium
high
elevations
might
experience
an
amplified
warming.
Model
uncertainty
can
be
considerable,
but
major
patterns
are
consistent
across
ensemble.
For
precipitation,
seasonal
shift
precipitation
amounts
from
winter
over
most
parts
domain
projected.
However,
individual
simulations
show
signals
opposite
sign.
Daily
intensity
increase
seasons
sub-domains,
while
wet-day
frequency
decrease
season.
temperature
negatively
correlated
with
change,
i.e.
and/or
strong
mean
typically
stronger
decrease.
By
contrast,
positive
correlation
between
found
winter.
Among
other
indicators,
snow
cover
strongly
affected
by
climatic
changes
widespread
except
very
elevation
settings.
In
general
magnitude
increases
assumed
forcing,
i.e.,
smallest
2.6
largest
being
located
between.
These
results
largely
agree
previous
works
older
generations
RCM
ensembles
but,
due
comparatively
large
size
spatial
resolution,
allow
more
decent
inherent
projection
uncertainties
details
future
change.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Март 7, 2023
Extreme
precipitation
is
projected
to
intensify
with
warming,
but
how
this
will
manifest
locally
through
time
uncertain.
Here,
we
exploit
an
ensemble
of
convection-permitting
transient
simulations
examine
the
emerging
signal
in
local
hourly
rainfall
extremes
over
100-years.
We
show
events
UK
exceeding
20
mm/h
that
can
cause
flash
floods
are
4-times
as
frequent
by
2070s
under
high
emissions;
contrast,
a
coarser
resolution
regional
model
shows
only
2.6x
increase.
With
every
degree
intensity
extreme
downpours
increases
5-15%.
Regional
records
occur
40%
more
often
than
absence
warming.
However,
these
changes
not
realised
smooth
trend.
Instead,
result
internal
variability,
years
record-breaking
may
be
followed
multiple
decades
no
new
records.
The
tendency
for
cluster
poses
key
challenges
communities
trying
adapt.
Geoscientific model development,
Год журнала:
2023,
Номер
16(3), С. 907 - 926
Опубликована: Фев. 6, 2023
Abstract.
The
term
“pseudo-global
warming”
(PGW)
refers
to
a
simulation
strategy
in
regional
climate
modeling.
consists
of
directly
imposing
large-scale
changes
the
system
on
control
(usually
representing
current
conditions)
by
modifying
boundary
conditions.
This
differs
from
traditional
dynamic
downscaling
technique
where
output
global
model
(GCM)
is
used
drive
models
(RCMs).
PGW
are
usually
derived
transient
simulation.
approach
offers
several
benefits,
such
as
lowering
computational
requirements,
flexibility
design,
and
avoiding
biases
models.
However,
implementing
non-trivial,
care
must
be
taken
not
deteriorate
physics
when
To
simplify
preparation
simulations,
we
present
detailed
description
methodology
provide
companion
software
PGW4ERA5
facilitating
simulations.
In
describing
methodology,
particular
attention
devoted
adjustment
pressure
geopotential
fields.
Such
an
required
ensuring
consistency
between
thermodynamical
(temperature
humidity)
one
hand
dynamical
other
hand.
It
demonstrated
that
this
important
extratropics
highly
essential
tropical
subtropical
regions.
We
show
projections
simulations
prepared
using
presented
closely
comparable
for
most
climatological
variables.
npj Climate and Atmospheric Science,
Год журнала:
2024,
Номер
7(1)
Опубликована: Фев. 28, 2024
Abstract
Extreme
precipitation
events
lead
to
dramatic
impacts
on
society
and
the
situation
will
worsen
under
climate
change.
Decision-makers
need
reliable
estimates
of
future
changes
as
a
basis
for
effective
adaptation
strategies,
but
projections
at
local
scale
from
regional
models
(RCMs)
are
highly
uncertain.
Here
we
exploit
km-scale
convection-permitting
multi-model
(CPM)
ensemble,
generated
within
FPS
Convection
project,
provide
new
understanding
in
extremes
related
uncertainties
over
greater
Alpine
region.
The
CPM
ensemble
shows
stronger
increase
fractional
contribution
extreme
than
driving
RCM
during
summer,
when
convection
dominates.
We
find
that
substantially
reduces
model
their
total
by
more
50%.
conclude
realistic
representation
dynamical
processes
CPMs
provides
change,
which
essential
policymakers
plan
measures.
Journal of Geophysical Research Atmospheres,
Год журнала:
2025,
Номер
130(2)
Опубликована: Янв. 11, 2025
Abstract
This
study
presents
a
detailed
analysis
of
the
CORDEX‐FPS
multi‐model
ensemble
convection‐permitting
climate
simulations
over
greater
Alpine
region.
These
cover
10‐year
time
slices
and
were
obtained
by
downscaling
global
model
(GCM)
projections,
using
regional
models
(RCMs)
kilometer‐scale
(CPMs).
Our
area
agrees
with
previous
studies
in
terms
projected
summer
precipitation
changes
for
end
century,
particular
regarding
decrease
mean
increases
hourly
intensities.
In
addition,
we
assess
different
subregions,
provide
analyses
at
monthly
seasonal
basis
temporal
aggregations
ranging
from
1
hr
to
5
days,
address
extreme
indices,
present
validation
against
an
Alpine‐scale
daily
data
set
product
based
on
3
Doppler
radars.
The
evaluation
reveals
that
CPMs
show
refinement
spatial
patterns,
reduce
overestimation
frequency,
better
capture
intense
characteristics.
improvements
are
especially
apparent
sub‐daily
scale
season.
Convection‐Permitting
Model
projections
increase
intensity
all
seasons
across
regions,
except
Mediterranean
summer.
qualitatively
agree,
despite
significant
differences
GCMs
circulation
changes,
suggesting
heavy
events
is
primarily
due
thermodynamic
effects.
We
also
hypothesis
explaining
why
relative
percentiles
similar
between
RCMs,
large
biases
RCMs.
Climate Dynamics,
Год журнала:
2021,
Номер
56(5-6), С. 1717 - 1752
Опубликована: Янв. 11, 2021
Abstract
Modelling
the
rare
but
high-impact
Mediterranean
Heavy
Precipitation
Events
(HPEs)
at
climate
scale
remains
a
largely
open
scientific
challenge.
The
issue
is
adressed
here
by
running
38-year-long
continuous
simulation
of
CNRM-AROME
Convection-Permitting
Regional
Climate
Model
(CP-RCM)
2.5
km
horizontal
resolution
and
over
large
pan-Alpine
domain.
First,
evaluated
through
basic
Eulerian
statistical
approach
via
comparison
with
selected
high
spatial
temporal
observational
datasets.
Northwestern
fall
extreme
precipitation
correctly
represented
daily
even
better
an
hourly
scale,
in
terms
location,
intensity,
frequency
interannual
variability,
despite
underestimation
highest
intensities
above
200
mm/day
40
mm/h,
respectively.
A
CP-RCM
its
forcing
convection-parameterised
12.5
(RCM)
demonstrates
clear
added
value
for
CP-RCM,
confirming
previous
studies.
Secondly,
object-oriented
Lagrangian
proposed
implementation
precipitating
system
detection
tracking
algorithm,
applied
to
model
reference
COMEPHORE
dataset
twenty
seasons.
Using
French
HPEs
as
objects,
CNRM-AROME’s
ability
represent
main
characteristics
convective
systems
tracks
highlighted
number,
area,
duration,
velocity
severity.
Further,
able
simulate
long-lasting
severe
events
similar
observations.
However,
it
fails
reproduce
(maximum
mm/h)
well,
model’s
tendency
overestimate
cell
size
increases
intensity.
Bulletin of the American Meteorological Society,
Год журнала:
2021,
Номер
103(2), С. E293 - E310
Опубликована: Окт. 4, 2021
Abstract
We
describe
the
first
effort
within
Coordinated
Regional
Climate
Downscaling
Experiment–Coordinated
Output
for
Evaluation,
or
CORDEX-CORE
EXP-I.
It
consists
of
a
set
twenty-first-century
projections
with
two
regional
climate
models
(RCMs)
downscaling
three
global
model
(GCM)
simulations
from
CMIP5
program,
greenhouse
gas
concentration
pathways
(RCP8.5
and
RCP2.6),
over
nine
CORDEX
domains
at
∼25-km
grid
spacing.
Illustrative
examples
initial
analysis
this
ensemble
are
presented,
covering
wide
range
topics,
such
as
added
value
RCM
nesting,
extreme
indices,
tropical
extratropical
storms,
monsoons,
ENSO,
severe
storm
environments,
emergence
change
signals,
energy
production.
They
show
that
EXP-I
can
provide
downscaled
information
unprecedented
comprehensiveness
to
increase
understanding
processes
relevant
impacts,
assess
RCMs.
The
dataset,
which
will
be
incrementally
augmented
new
simulations,
is
intended
public
resource
available
scientific
end-user
communities
application
process
studies,
impacts
on
different
socioeconomic
sectors,
service
activities.
future
initiative
also
discussed.