Abstract
According
to
the
final
report
of
European
Union
OMC
expert
group
on
strengthening
cultural
heritage
resilience
for
anthropogenic
climate
change,
impacts
particularly
extreme
weather
events,
in
Europe
have
become
increasingly
evident
recent
years
and
are
progressing
at
an
unprecedented
speed
scale.
Archaeological
sites,
museum
collections,
historical
buildings
structures
affected,
among
others,
by
rising
temperatures
or
heavy
storms
precipitation
events.
Deep
scientific
knowledge
about
future
projections
is
required
develop
appropriate
preservation
strategies
measures
protect
adapt
heritage.
In
this
paper
we
present
first
set
results
KERES
project.
The
project
focuses
events
built
historic
gardens.
An
ensemble
simulations
used
analyze
changes
both
climatology
several
variables
two
sites
Germany.
study,
a
methodology
was
developed
guide
scientists
how
better
tailor
information
needs
stakeholders
sector.
It
would
help
integrate
into
prevention
emergency
management,
particular
risk
assessment
effects
interpolation
from
model
grid
location
site
advantages
approach
been
demonstrated
study.
Earth System Dynamics,
Год журнала:
2022,
Номер
13(1), С. 133 - 157
Опубликована: Янв. 24, 2022
Abstract.
The
Baltic
Sea
region
is
very
sensitive
to
climate
change;
it
a
with
spatially
varying
and
diverse
ecosystems,
but
also
under
pressure
due
high
population
in
large
parts
of
the
area.
Climate
change
impacts
could
easily
exacerbate
other
anthropogenic
stressors
such
as
biodiversity
stress
from
society
eutrophication
considerably.
Therefore,
there
has
been
focus
on
estimations
future
its
recent
research.
In
this
overview
paper,
we
will
concentrate
presentation
projections
12.5
km
horizontal
resolution
atmosphere-only
regional
models
Coordinated
Regional
Downscaling
Experiment
–
European
domain
(EURO-CORDEX).
Comparison
be
done
corresponding
prior
results
well
coupled
atmosphere–ocean
models.
model
strengthen
conclusions
previous
assessments.
This
includes
strong
warming,
particular
north
winter.
Precipitation
projected
increase
whole
apart
southern
half
during
summer.
Consequently,
new
lend
more
credibility
estimates
uncertainties
robust
features
change.
Furthermore,
larger
number
scenarios
gives
opportunities
better
address
mitigation
measures.
simulations
model,
signal
locally
modified
relative
stand-alone
atmosphere
model.
Differences
are
largest
areas
where
system
arrives
at
different
sea-surface
temperatures
sea-ice
conditions.
Quaternary Science Reviews,
Год журнала:
2022,
Номер
281, С. 107431 - 107431
Опубликована: Фев. 23, 2022
Land-cover
changes
have
a
clear
impact
on
local
climates
via
biophysical
effects.
European
land
cover
has
been
affected
by
human
activities
for
at
least
6000
years,
but
possibly
longer.
It
is
thus
highly
probable
that
humans
altered
climate
before
the
industrial
revolution
(AD1750–1850).
In
this
study,
and
vegetation
years
(6
ka)
ago
investigated
using
one
global
model,
two
regional
models,
dynamical
pollen-based
reconstruction
of
past
model
pollen-vegetation
relationship
statistical
spatial
interpolation
reconstructed
cover.
This
approach
enables
us
to
study
6
ka
with
potential
natural
cover,
determine
how
differences
in
upon
simulated
climate.
The
use
models
discuss
robustness
results.
first
experiment
palaeo-climate
based
models.
Different
estimates
are
constructed:
vegetation.
Potential
climate-induced
as
driven
conditions
from
model.
Bayesian
interpolated
point
plant
abundances
combined
un-vegetated
were
used
heavily
dominated
forests:
evergreen
coniferous
forests
dominate
northern
eastern
Europe,
while
deciduous
broadleaved
central
western
Europe.
contrast,
large
component
open
most
was
0–5
°C
warmer
than
pre-industrial
(PI)
climate,
depending
season
region.
largest
seen
north-eastern
Europe
winter
about
4–6
°C,
smallest
(close
zero)
southwestern
winter.
had
10–20%
more
precipitation
PI
less
southern
summer.
results
reasonable
agreement
proxy-based
reconstructions
previous
similar
modelling
studies.
As
expected,
indicate
relatively
albeit
indicating
that,
response
land-cover
differently.
anthropogenic
changes,
given
vegetation,
enough
significant
likely
land-use
change
already
taking
place
ka.
Our
suggest
lead
around
0.5
summer
due
biogeophysical
forcing.
Climate Services,
Год журнала:
2023,
Номер
30, С. 100351 - 100351
Опубликована: Фев. 1, 2023
Climate
projections
are
a
powerful
tool
that
can
help
decision
makers
to
timely
prepare
adaptation
policies,
which
may
then
be
efficiently
implemented.
In
this
study,
comprehensive
analysis
of
how
climate
change
affect
Portugal
(located
in
hotspot)
is
conducted,
providing
the
foundations
first
National
Roadmap
for
Adaptation
2100.
A
multi-variable
ensemble
was
built
and
tested,
being
baseline
assessing
future
three
different
emission
scenarios
(RCP2.6,
RCP4.5,
RCP8.5)
throughout
21st
century,
accounting
model's
ability
simulate
set
variables.
warmer
drier
projected
mainland,
more
severe
interior
regions.
Even
optimistic
RCP2.6
scenario,
results
indicate
increases
temperature
between
1
2
°C
comparison
with
historical
period
surpass
6
some
regions
RCP8.5.
Extreme
hot
events
will
frequent
severe,
maximum
temperatures
above
45
common
century.
decline
precipitation
expected
mostly
summer
intermediate
seasons,
losses
40
%
end-of-century.
However,
an
intensification
heavy
short-term
rainfall
increase
northern
rising
wind
gusts
also
these
Such
call
urgent
planning
measures
safeguard
critical
sectors
Portuguese
society.
Finally,
information
here
produced
examined
constitutes
key
example
services
mitigation
Portugal.
Journal of Environmental Management,
Год журнала:
2024,
Номер
353, С. 120229 - 120229
Опубликована: Фев. 1, 2024
Climate
change
is
currently
reshaping
precipitation
patterns,
intensifying
extremes,
and
altering
runoff
dynamics.
Particularly
susceptible
to
these
impacts
are
combined
sewer
systems
(CSS),
which
convey
both
stormwater
wastewater
can
lead
overflow
(CSO)
discharges
during
heavy
rainfall.
Green
infrastructure
(GI)
help
mitigate
enhance
system
resilience
under
historical
conditions;
however,
the
quantification
of
its
effect
on
in
a
future
climate
remains
unknown
literature.
This
study
employs
modified
Global
Resilience
Analysis
(GRA)
framework
for
continuous
simulation
quantify
impact
CSS
resilience,
particularly
CSOs.
The
assesses
efficacy
GI
interventions
(green
roofs,
permeable
pavements,
bioretention
cells)
diverse
rainfall
scenarios
based
EURO-CORDEX
regional
models
(2085–2099)
three
Representative
Concentration
Pathways
(2.6,
4.5,
8.5
W/m2).
findings
underscore
general
decline
indices
across
considered.
Notably,
total
yearly
CSO
discharge
volume
increases
by
range
145
%
256
response
different
scenarios.
While
proves
effective
increasing
it
falls
short
offsetting
change.
Among
options
assessed,
green
roofs
routed
pervious
areas
exhibit
highest
adaptive
capacity,
ranging
from
9
22
at
level,
followed
pavements
with
an
adaptation
capacity
between
7
13
%.
By
linking
effects
performance,
this
contributes
understanding
GI's
potential
as
strategic
tool
enhancing
urban
resilience.
Journal of Geophysical Research Atmospheres,
Год журнала:
2024,
Номер
129(5)
Опубликована: Март 1, 2024
Abstract
Large
uncertainty
exists
in
the
sign
of
long‐term
changes
regional
scale
mean
precipitation
across
current
generation
global
climate
models.
To
explore
physical
drivers
this
for
New
Zealand,
here
we
adopt
a
storyline
approach
applying
cluster
analysis
to
spatial
patterns
future
projected
seasonal
change
CMIP6
models
(
n
=
43).
For
winter
signal,
split
roughly
into
two
main
groups:
both
groups
have
very
robust
wet
signal
west
coast
South
Island
but
differ
notably
terms
north
North
Island.
These
far
differences
appear
related
how
Hadley
cell
edge
and
eddy‐driven
jet
shift
relative
their
historical
positions.
In
contrast,
summer,
most
markedly
weaker
spatially
non‐uniform
response,
where
internal
variability
often
plays
large
role.
However,
small
group
predict
country
summer.
This
“wet
model”
is
characterized
by
La
Niña‐like
increase
high
pressure
shifted
further
south‐east
associated
with
more
frequent
north‐easterly
flow
over
accompanied
significant
warming
local
sea
surface
temperatures.
circulation
response
appears
stationary
Rossby
wave
paths
as
opposed
Niña
occurrence
frequency
itself.
Geoscientific model development,
Год журнала:
2020,
Номер
13(11), С. 5485 - 5506
Опубликована: Ноя. 11, 2020
Abstract.
In
this
study,
we
evaluate
a
set
of
high-resolution
(25–50
km
horizontal
grid
spacing)
global
climate
models
(GCMs)
from
the
High-Resolution
Model
Intercomparison
Project
(HighResMIP),
developed
as
part
EU-funded
PRIMAVERA
(Process-based
simulation:
Advances
in
high
resolution
modelling
and
European
risk
assessment)
project,
EURO-CORDEX
(Coordinated
Regional
Climate
Downscaling
Experiment)
regional
(RCMs)
(12–50
over
domain.
It
is
first
time
that
an
assessment
information
using
ensembles
both
GCMs
RCMs
at
similar
resolutions
has
been
possible.
The
focus
evaluation
on
distribution
daily
precipitation
50
scale
under
current
conditions.
Both
GCM
RCM
are
evaluated
against
high-quality
gridded
observations
terms
spatial
station
density.
We
show
outperform
5th
Coupled
(CMIP5),
which
cannot
capture
regional-scale
properly
because
their
coarse
resolutions.
generally
simulate
distributions
within
range
RCMs.
perform
better
summer
autumn
most
regions
but
tend
to
overestimate
winter
spring.
shows
improvements
latter
by
reducing
moderate-precipitation
rate
biases
central
western
Europe.
mean
also
improved
PRIMAVERA.
Finally,
heavy
simulated
agrees
with
seasons,
while
CORDEX
overestimates
extremes.
However,
uncertainty
exists
due
potential
undercatch
error,
especially
during
heavy-precipitation
events.
analyses
confirm
previous
findings
that,
although
representation
improved,
effect
increasing
12
spacing
is,
comparison,
small
seasons
outside
mountainous
coastal
regions.
Our
results
provide
adequate
end
users
scale.
Climate Services,
Год журнала:
2020,
Номер
20, С. 100196 - 100196
Опубликована: Ноя. 20, 2020
The
latest
Swiss
Climate
Scenarios
(CH2018),
released
in
November
2018,
consist
of
several
datasets
derived
through
various
methods
that
provide
robust
and
relevant
information
on
climate
change
Switzerland.
scenarios
build
upon
the
regional
model
projections
for
Europe
produced
internationally
coordinated
downscaling
effort
EURO-CORDEX.
simulations
from
EURO-CORDEX
at
two
spatial
horizontal
resolutions,
global
models,
three
different
emission
scenarios.
Even
with
this
unique
dataset
scenarios,
a
number
practical
challenges
regarding
consistent
interpretation
ensemble
arise.
Here
we
present
methodological
chain
employed
CH2018
order
to
generate
multi-model
is
across
used
as
basis
deriving
products.
steps
involve
thorough
evaluation
full
ensemble,
removal
doubtful
potentially
erroneous
simulations,
time-shift
approach
account
an
equal
each
scenario,
combination
resolutions.
Each
component
cascade
processing
associated
uncertainty
eventually
contributes
overall
scientific
scenario
We
comparison
assessment
uncertainties
these
individual
effects
relate
them
probabilistic
projections.
It
shown
are
generally
supported
by
results
other
sources.
Thus,
currently
best
available
future
estimates
Weather and Climate Extremes,
Год журнала:
2021,
Номер
33, С. 100363 - 100363
Опубликована: Авг. 7, 2021
Extreme
weather
events
represent
one
of
the
most
visible
and
immediate
hazards
to
society.
Many
these
types
phenomena
are
projected
increase
in
intensity,
duration
or
frequency
as
climate
warms.
Of
extreme
winds
among
damaging
historically
over
Europe
yet
assessments
their
future
changes
remain
fraught
with
uncertainty.
This
uncertainty
arises
due
both
rare
nature
wind
fact
that
model
unable
faithfully
them.
Here
we
take
advantage
a
15
member
ensemble
high
resolution
Euro-CORDEX
simulations
(∼12
km)
investigate
using
peaks-over-threshold
approach.
Additionally
show
–
despite
lingering
deficiencies
inadequate
observational
coverage
there
is
clear
added
value
higher
coarser
counterparts.
Further,
spatial
heterogeneity
highly
localised
well
captured.
Effects
such
orographic
interactions,
drag
urban
areas,
even
individual
storm
tracks
oceans
clearly
visible.
As
also
exhibit
strong
heterogeneity.
These
results
emphasise
need
for
careful
case-by-case
treatment
analysis,
especially
when
done
adaptation
decision
making
context.
However,
more
general
picture
increases
return
period
(i.e.
frequent)
episodes
Northern,
Central
Southern
throughout
21st
century.
While
models
continue
improve
representation
winds,
improved
desperately
needed
obtain
robust
elsewhere.