Abstract.
Snow
cover
modeling
remains
a
major
challenge
in
climate
and
numerical
weather
prediction
(NWP)
models,
even
recent
versions
of
high-resolution
coupled
surface-atmosphere
(i.e.
at
km-scale)
regional
models.
Evaluation
simulations,
carried
out
as
part
WCRP-CORDEX
Flagship
Pilot
Study
on
Convection
with
the
CNRM-AROME
convection
permitting
model
2.5
km
horizontal
resolution,
has
highlighted
significant
snow
biases,
severely
limiting
its
potential
mountain
regions.
These
which
are
also
found
for
AROME
NWP
results,
have
multiple
causes,
involving
atmospheric
processes
their
influence
input
data
to
land
surface
addition
deficiencies
itself.
Here
we
present
improved
configurations
SURFEX-ISBA
used
CNRM-AROME.
We
thoroughly
evaluated
these
ability
represent
seasonal
across
European
Alps.
Our
evaluation
was
based
simulations
spanning
winters
2018–2019
2019–2020,
were
compared
against
remote
sensing
situ
observations.
Specifically,
study
tests
various
changes
configuration,
such
using
multi-layer
soil
scheme,
patches
grid
cells,
new
physiographic
databases,
parameter
adjustments.
findings
indicate
that
more
physically
detailed
individual
components
only
one
patch
did
not
improve
representation
due
limitations
approach
account
partial
within
cell.
To
address
limitations,
further
three
representations
interactions
between
fractional
vegetation.
At
end,
introduce
configuration
substantially
This
holds
promising
use
prediction,
including
other
Journal of Hydrology Regional Studies,
Год журнала:
2024,
Номер
52, С. 101718 - 101718
Опубликована: Фев. 26, 2024
Study
region:
The
region
of
interest
is
the
South-Tyrol
in
southeastern
Alps,
Italy.
A
comparison
meteorological
forcing
performed
with
reference
to
this
while
hydrological
simulations
are
conducted
Passirio
river
basin.
focus:
objective
work
evaluate
suitability
ERA5-Land
reanalysis
product
as
a
dataset
for
modelling
topographically
complex
Alpine
regions.
compared
observational
gridded
dataset,
obtained
by
means
Kriging
interpolation,
available
at
two
contrasting
spatial
resolutions
coarse
grid
size
11
×
8
kilometres
and
high-resolution
1
kilometres.
coherence
three
datasets
(ERA5-Land
datasets)
observed
streamflow
time
series
then
assessed
refer
Passirio/Passer
basin
its
nested
snow-dominated
sub-catchment
Plan/Pfelders.
New
insights
study
assesses
ERA5-Land's
comparing
outcomes.
At
annual
scale,
an
overestimation
precipitation
about
40mm/month
temperature
underestimation
2.1
°C
reported.
These
discrepancies
influence
simulations,
resulting
both
snow
water
equivalent.
It
thus
crucial
consider
limitations
when
using
it
application
watersheds
characterized
terrains,
such
region.
The cryosphere,
Год журнала:
2023,
Номер
17(8), С. 3617 - 3660
Опубликована: Авг. 28, 2023
Abstract.
Assessing
past
distributions,
variability
and
trends
in
the
mountain
snow
cover
its
first-order
drivers,
temperature
precipitation,
is
key
for
a
wide
range
of
studies
applications.
In
this
study,
we
compare
results
various
modeling
systems
(global
regional
reanalyses
ERA5,
ERA5-Land,
ERA5-Crocus,
CERRA-Land,
UERRA
MESCAN-SURFEX
MTMSI
climate
model
simulations
CNRM-ALADIN
CNRM-AROME
driven
by
global
reanalysis
ERA-Interim)
against
observational
references
(in
situ,
gridded
datasets
satellite
observations)
across
European
Alps
from
1950
to
2020.
The
comparisons
are
performed
terms
monthly
seasonal
variables
(snow
depth
duration)
their
main
atmospherical
drivers
(near-surface
precipitation).
We
assess
multi-annual
averages
subregional
mean
values,
interannual
variations,
over
timescales,
mainly
winter
period
(from
November
through
April).
MESCAN-SURFEX,
CERRA-Land
offer
satisfying
description
evolution.
However,
spatial
comparison
observation
indicates
that
all
overestimate
duration,
especially
melt-out
date.
ERA5-Land
exhibit
an
overestimation
accumulation
during
winter,
increasing
with
elevations.
analysis
dynamics
remains
complex
multiple
scales
none
models
evaluated
here
fully
succeed
reproduce
compared
reference
datasets.
Indeed,
while
most
outputs
perform
well
at
representing
multi-decadal
precipitation
variability,
they
often
fail
address
duration.
discuss
several
artifacts
potentially
responsible
incorrect
long-term
products
(ERA5
MESCAN-SURFEX),
which
attribute
primarily
heterogeneities
assimilated.
Nevertheless,
many
considered
study
line
current
state
knowledge.
Based
on
these
datasets,
last
50
years
(1968–2017)
scale,
have
experienced
warming
0.3
0.4
∘C
per
decade,
stronger
lower
elevations,
small
reduction
homogeneous
elevation.
decline
duration
ranges
−7
%
−15
decade
−5
d
respectively,
both
showing
larger
decrease
low
intermediate
Overall,
show
no
strategy
outperforms
others
within
our
sample
upstream
choices
(horizontal
resolution,
heterogeneity
observations
used
data
assimilation
reanalyses,
coupling
between
surface
atmosphere,
level
complexity,
configuration
scheme,
etc.)
great
consequences
quality
potential
use.
Despite
limitations,
cases
can
be
characterize
features
Journal of Hydrometeorology,
Год журнала:
2022,
Номер
24(1), С. 53 - 71
Опубликована: Окт. 26, 2022
Abstract
High-resolution
numerical
weather
prediction
(NWP)
systems
present
a
strong
potential
to
provide
meteorological
information
in
alpine
terrain
for
diverse
applications.
However,
they
still
suffer
from
biases
highly
detrimental
practical
purposes.
In
this
study,
we
investigate
the
origin
of
significant
wintertime
screen-level
temperature
bias
forecasts
AROME-France
NWP
system
high-altitude,
snow-covered
terrain.
For
purpose,
thorough
set
and
snow
observations
two
high-altitude
instrumental
sites
is
used.
Targeted
simulations
are
carried
out
disentangle
contributions
coming
atmospheric
fields,
scheme,
coupling
between
snowpack
atmosphere.
At
both
sites,
wind
speed
incoming
longwave
radiation
appear
significantly
negatively
biased
AROME
winter
season.
Using
targeted
offline
simulations,
show
that
simulation
errors
these
fields
contribute
an
average
67%
AROME,
while
contribution
shortwave
negligible.
Additionally,
not
majorly
impacted
by
changes
complexity
especially
vertical
layering
model.
it
appears
particularly
sensitive
parameterization
turbulent
fluxes
stable
conditions.
Evidence
suggest
findings
could
at
least
partially
be
generalized
whole
domain.
Hence,
reducing
may
great
part
proceed
improving
eliminating
some
compensations
Climate Dynamics,
Год журнала:
2023,
Номер
61(9-10), С. 4319 - 4342
Опубликована: Май 6, 2023
Abstract
This
study
presents
a
comprehensive
assessment
of
dynamical
downscaling
ERA5
Reanalysis
recently
performed
over
Italy
through
the
COSMO-CLM
model
at
convection-permitting
scale
(0.02°)
period
1989–2020.
Results
are
analysed
against
several
independent
observational
datasets
and
reanalysis
products.
The
capability
to
realistically
represent
climatology
for
2
m
temperature
precipitation
is
whole
peninsula
subdomains.
Hourly
patterns,
orography
effects,
urban
climate
dynamics
also
investigated,
highlighting
weaknesses
strengths
model.
In
particular,
gains
in
performances
achieved
mountainous
areas
where
characteristics
correctly
represented,
as
hourly
characteristics.
Losses
occur
coastal
flat
Italian
peninsula,
performance
does
not
seem
be
satisfactory,
opposed
complex
orographic
areas.
adopted
parameterisation
demonstrated
simulate
heat
detection
two
cities:
Rome
Milan.
Finally,
subset
extreme
indicators
evaluated,
finding:
(
i
)
region-dependent
response,
ii
notable
iii
discrepancies
South,
Central
Insular
Climate
detect
events
detailed
scale,
becoming
an
important
tool
turning
data
into
information.
Abstract.
Assessing
past
distributions,
variability
and
trends
of
the
mountain
snow
cover
its
first
order
drivers,
temperature
precipitation,
is
key
for
a
wide
range
studies
applications.
In
this
study,
we
compare
results
various
modelling
systems
(global
regional
reanalyses
ERA5,
ERA5-Land,
ERA5-Crocus,
CERRA-Land,
UERRA
MESCAN-SURFEX,
MTMSI,
climate
model
simulations
CNRM-ALADIN
CNRM-AROME
driven
by
global
reanalysis
ERA-Interim)
against
observational
references
(in-situ,
kriged
datasets
satellite
observations)
across
European
Alps,
from
1950
to
2020.
The
comparisons
are
performed
in
terms
monthly
seasonal
variables
(snow
depth
duration)
their
main
atmospherical
drivers
(near-surface
precipitation).
We
assess
multi-annual
averages
sub-regional
mean
values,
inter-annual
variations,
over
time
scales.
simulations,
ERA5-Land
exhibit
an
overestimation
accumulation
during
winter,
increasing
with
elevations.
CERRA-Land
MTMSI
offer
satisfying
description
evolution
albeit
spatial
comparison
observation
indicates
that
all
overestimate
duration
cover,
especially
melt-out
date.
analysis
indicate
dynamics
remain
complex
multiple
scales,
none
models
evaluated
here
fully
succeed
reproduce,
compared
reference
datasets.
Indeed,
while
most
outputs
perform
well
at
representing
multi-decadal
winter
precipitation
variability,
they
often
fail
address
duration.
discuss
several
artifacts
potentially
responsible
incorrect
long-term
products
(ERA5
MESCAN-SURFEX),
which
attribute
primarily
heterogeneities
assimilated.
Reference
some
provides
line
current
available
literature.
Over
last
50
years
(1968–2017)
scale,
Alps
have
experienced
warming
0.3
0.4
°C
per
decade,
weak
reduction
substantial
decrease
snowpack
characteristics,
decline
reaching
−10
%
decade
days
respectively,
low
intermediate
Overall,
show
no
strategy
outperforms
others
within
our
sample,
upstream
choices
(horizontal
resolution,
heterogeneity
observations
used
data
assimilation
reanalyses,
coupling
between
surface
atmosphere,
level
complexity
configuration
scheme
etc.)
great
consequences
on
quality
potential
use.
Despite
limitations,
many
cases
these
modeling
can
be
characterize
features
Climate Dynamics,
Год журнала:
2023,
Номер
62(6), С. 4587 - 4615
Опубликована: Янв. 30, 2023
Abstract
Since
a
decade,
convection-permitting
regional
climate
models
(CPRCM)
have
emerged
showing
promising
results,
especially
in
improving
the
simulation
of
precipitation
extremes.
In
this
article,
CPRCM
CNRM-AROME
developed
at
Centre
National
de
Recherches
Météorologiques
(CNRM)
since
few
years
is
described
and
evaluated
using
2.5-km
19-year
long
hindcast
over
large
northwestern
European
domain
different
observations
through
an
added-value
analysis
which
comparison
with
its
driving
12-km
RCM
CNRM-ALADIN
performed.
The
evaluation
challenging
due
to
lack
high-quality
both
high
temporal
spatial
resolutions.
Thus,
spatio-temporal
observed
gridded
dataset
was
built
from
collection
seven
national
datasets
that
helped
identification
added
value
CNRM-AROME.
based
on
series
standard
climatic
features
include
long-term
means
mean
annual
cycles
near-surface
temperature
where
shows
little
improvements
compared
CNRM-ALADIN.
Additional
indicators
such
as
summer
diurnal
cycle
indices
extreme
show,
contrary,
more
realistic
behaviour
model.
Moreover,
snow
cover
clear
simulation,
principally
improved
description
orography
resolution.
analyses
incoming
shortwave
radiation,
cloud
satellite
estimates.
Overall,
despite
some
systematic
biases,
indicates
suitable
superior
many
aspects
Climate Dynamics,
Год журнала:
2024,
Номер
62(6), С. 4673 - 4696
Опубликована: Май 11, 2024
Abstract
Meteorological
processes
over
islands
with
complex
orography
could
be
better
simulated
by
Convection
Permitting
Regional
Climate
Models
(CP-RCMs)
thanks
to
an
improved
representation
of
the
orography,
land–sea
contrasts,
combination
coastal
and
orographic
effects,
explicit
deep
convection.
This
paper
evaluates
ability
CP-RCM
CNRM-AROME
(2.5-km
horizontal
resolution)
simulate
relevant
meteorological
characteristics
Mediterranean
island
Corsica
for
2000–2018
period.
These
hindcast
simulations
are
compared
their
driving
Model
(RCM)
CNRM-ALADIN
(12.5-km
resolution
parameterised
convection),
weather
stations
precipitation
wind
gridded
datasets.
The
main
benefits
found
in
(i)
extremes
resulting
mainly
from
mesoscale
convective
systems
affected
steep
mountains
during
autumn
(ii)
formation
convection
through
thermally
induced
diurnal
circulations
interaction
summer.
Simulations
hourly
extremes,
cycle
precipitation,
distribution
intensities,
duration
events,
sea
breezes
all
2.5-km
respect
RCM,
confirming
added
value.
However,
existing
differences
between
model
observations
difficult
explain
as
biases
related
availability
quality
observations,
particularly
at
high
elevations.
Overall,
results
resolution,
increase
our
confidence
CP-RCMs
investigate
future
climate
projections
terrain.
Abstract.
Accurate
snow
cover
modeling
is
a
high
stake
for
mountain
regions.
Alpine
evolution
and
spatial
variability
result
from
multitude
of
complex
processes
including
interactions
between
wind
snow.
The
SnowPappus
blowing
model
was
designed
to
add
capabilities
the
SURFEX/Crocus
simulation
system
applications
across
large
temporal
extents.
This
paper
presents
very
first
spatialized
evaluation
this
over
902
km2
domain
in
French
Alps.
Here
we
compare
simulations
distribution
height
obtained
Pleiades
satellites
stereo-imagery
Snow
Melt-Out
Dates
Sentinel-2
time
series
three
seasons.
We
analyzed
sensitivity
different
precipitation
datasets
two
horizontal
resolutions.
evaluations
are
presented
as
function
elevation
landform
types.
results
show
that
forced
with
high-resolution
fields
enhances
at
elevations
allowing
better
agreement
observations
above
2500
m
near
peaks
ridges.
Model
improvements
not
obvious
low
medium
altitudes
where
errors
prevailing
uncertainty.
Our
study
illustrates
necessity
consider
error
contributions
snow,
forcings,
unresolved
subgrid
robust
simulations.
Despite
significant
effect
scales
transport,
250
resolution
using
found
be
promising
avenue
large-scale
alpine
snowpacks.
Natural hazards and earth system sciences,
Год журнала:
2024,
Номер
24(4), С. 1163 - 1183
Опубликована: Апрель 3, 2024
Abstract.
Floods
are
the
primary
natural
hazard
in
French
Mediterranean
area,
causing
damages
and
fatalities
every
year.
These
floods
triggered
by
heavy
precipitation
events
(HPEs)
characterized
limited
temporal
spatial
extents.
A
new
generation
of
regional
climate
models
at
kilometer
scale
have
been
developed,
allowing
an
explicit
representation
deep
convection
improved
simulations
local-scale
phenomena
such
as
HPEs.
Convection-permitting
(CPMs)
scarcely
used
hydrological
impact
studies,
future
projections
remain
uncertain
with
(RCMs).
In
this
paper,
we
use
CNRM-AROME
CPM
(2.5
km)
its
driving
CNRM-ALADIN
RCM
(12
hourly
timescale
to
simulate
over
Gardon
d'Anduze
catchment
located
region.
Climate
bias-corrected
CDF-t
method.
Two
models,
a
lumped
conceptual
model
(GR5H)
process-based
distributed
(CREST),
forced
historical
from
RCM,
used.
The
confirms
ability
better
reproduce
extreme
rainfall
compared
RCM.
This
added
value
is
propagated
on
flood
simulation
reproduction
peaks.
Future
consistent
between
but
differ
two
models.
Using
magnitude
all
projected
increase.
With
CPM,
threshold
effect
found:
largest
expected
intensify,
while
less
severe
decrease.
addition,
different
event
characteristics
indicate
that
become
flashier
warmer
climate,
shorter
lag
time
runoff
peak
smaller
contribution
base
flow,
regardless
model.
study
first
step
for
studies
driven
CPMs
Mediterranean.
Hydrology and earth system sciences,
Год журнала:
2024,
Номер
28(12), С. 2579 - 2601
Опубликована: Июнь 18, 2024
Abstract.
Seasonal
precipitation
estimation
in
ungauged
mountainous
areas
is
essential
for
understanding
and
modeling
a
physical
variable
of
interest
many
environmental
applications
(hydrology,
ecology,
cryospheric
studies).
Precipitation
lapse
rates
(PLRs),
defined
as
the
increasing
or
decreasing
rate
amounts
with
elevation,
play
decisive
role
high-altitude
estimation.
However,
documentation
PLR
regions
remains
weak
even
though
their
utilization
frequent.
This
article
intends
to
assess
spatial
variability
spatial-scale
dependence
seasonal
PLRs
varied
complex
topographical
region.
At
regional
scale
(10
000
km2),
seven
different
products
are
compared
ability
reproduce
altitude
annual/seasonal
1836
stations
located
France.
The
convection-permitting
climate
model
(CP-RCM)
AROME
best
this
regard,
despite
severe
overestimation
high
altitudes.
fine
resolution
allows
precise
assessment
influence
on
winter
summer
23
massifs
at
sub-regional
(∼
1000
km2)
2748
small
catchments
100
through
linear
regressions.
With
AROME,
often
higher
catchment
scale.
such
French
Alps,
border
than
inside
massifs.
study
emphasizes
conducting
investigation
reduce
heterogeneity
precipitation–altitude
relationships.