Geoscientific model development,
Journal Year:
2023,
Volume and Issue:
16(15), P. 4581 - 4597
Published: Aug. 11, 2023
Abstract.
Large-ensemble
modelling
has
become
an
increasingly
popular
approach
to
studying
the
mean
climate
and
system’s
internal
variability
in
response
external
forcing.
Here
we
present
Royal
Netherlands
Meteorological
Institute
(KNMI)
Large
Ensemble
Time
Slice
(KNMI–LENTIS):
a
new
large
ensemble
produced
with
re-tuned
version
of
global
model
EC-Earth3.
The
consists
two
distinct
time
slices
10
years
each:
present-day
slice
+2
K
warmer
future
relative
day.
initial
conditions
for
members
are
generated
combination
micro-
macro-perturbations.
10-year
length
single
is
assumed
be
too
short
show
significant
forced
change
signal,
size
1600
(160
×
years)
sufficient
sample
full
distribution
variability.
makes
it
possible
study
extreme
events
on
sub-daily
timescales
as
well
that
span
multiple
such
multi-year
droughts
preconditioned
compound
events.
KNMI–LENTIS
therefore
uniquely
suited
both
at
given
state
resulting
from
changes
due
radiative
A
unique
feature
this
high
temporal
output
frequency
surface
water
balance
energy
variables,
which
stored
3-hourly
intervals,
allowing
detailed
studies
into
particularly
geared
towards
research
land–atmosphere
domain.
EC-Earth3
considerable
warm
bias
Southern
Ocean
over
Antarctica.
Hence,
users
advised
make
in-depth
comparisons
observational
or
reanalysis
data,
especially
if
their
focus
ocean
processes,
locations
Hemisphere,
teleconnections
involving
hemispheres.
In
paper,
will
give
some
examples
demonstrate
added
value
extreme-
compound-event
climate-impact
modelling.
Science,
Journal Year:
2024,
Volume and Issue:
385(6707), P. 427 - 432
Published: July 25, 2024
As
the
climate
warms,
consequent
moistening
of
atmosphere
increases
extreme
precipitation.
Precipitation
variability
should
also
increase,
producing
larger
wet-dry
swings,
but
that
is
yet
to
be
confirmed
observationally.
Here
we
show
precipitation
has
already
grown
globally
(over
75%
land
area)
over
past
century,
as
a
result
accumulated
anthropogenic
warming.
The
increased
seen
across
daily
intraseasonal
timescales,
with
by
1.2%
per
10
years
globally,
and
particularly
prominent
Europe,
Australia,
eastern
North
America.
Increased
driven
mainly
thermodynamics
linked
atmospheric
moistening,
modulated
at
decadal
timescales
circulation
changes.
Amplified
poses
new
challenges
for
weather
predictions,
well
resilience
adaptation
societies
ecosystems.
Frontiers in Water,
Journal Year:
2021,
Volume and Issue:
3
Published: Sept. 7, 2021
Drought,
caused
by
a
prolonged
deficit
of
precipitation,
bears
the
risk
severe
economic
and
ecological
consequences
for
affected
societies.
The
occurrence
this
significant
hydro-meteorological
hazard
is
expected
to
strongly
increase
in
many
regions
due
climate
change,
however,
it
also
subject
high
internal
variability.
This
calls
an
assessment
trends
hot
spots
that
considers
variations
In
study,
percent
normal
index
(PNI),
describes
meteorological
droughts
deviation
long-term
reference
mean,
analyzed
single-model
initial-condition
large
ensemble
(SMILE)
Canadian
regional
model
version
5
(CRCM5)
over
Europe.
A
far
future
horizon
under
Representative
Concentration
Pathway
8.5
compared
present-day
pre-industrial
reference,
which
derived
from
pi-control
runs
CRCM5
representing
counterfactual
world
without
anthropogenic
change.
Our
analysis
SMILE
reveals
variability
drought
Considering
variability,
our
results
show
clear
overall
duration,
number
intensity
toward
horizon.
We
furthermore
find
strong
seasonal
divergence
with
distinct
summer
decrease
winter
most
regions.
Additionally,
percentage
followed
wet
winters
increasing
all
except
Iberian
Peninsula.
Because
particularly
drying
trends,
Alps,
Mediterranean,
France
Peninsula
are
suggested
be
considered
as
spots.
Due
simplicity
intuitivity
PNI,
appropriate
region-specific
communication
purposes
outreach.
Environmental Research Letters,
Journal Year:
2022,
Volume and Issue:
17(3), P. 035005 - 035005
Published: Feb. 21, 2022
Abstract
Increases
in
climate
hazards
and
their
impacts
mark
one
of
the
major
challenges
change.
Situations
which
occur
close
enough
to
another
result
amplified
impacts,
because
systems
are
insufficiently
resilient
or
themselves
made
more
severe,
special
concern.
We
consider
projected
changes
such
compounding
using
Max
Planck
Institute
Grand
Ensemble
under
a
moderate
(RCP4.5)
emissions
scenario,
produces
warming
about
2.25
°C
between
pre-industrial
(1851–1880)
2100.
find
that
extreme
heat
events
occurring
on
three
consecutive
days
increase
frequency
by
100%–300%,
precipitation
most
regions,
nearly
doubling
for
some.
The
chance
concurrent
drought
leading
simultaneous
maize
failures
breadbasket
regions
approximately
doubles,
while
interannual
wet-dry
oscillations
become
at
least
20%
likely
across
much
subtropics.
Our
results
highlight
importance
taking
extremes
into
account
when
looking
possible
tipping
points
socio-environmental
systems.
Proceedings of the National Academy of Sciences,
Journal Year:
2022,
Volume and Issue:
119(42)
Published: Oct. 10, 2022
Uncertainty
in
climate
projections
is
driven
by
three
components:
scenario
uncertainty,
intermodel
and
internal
variability.
Although
socioeconomic
impact
studies
increasingly
take
into
account
the
first
two
components,
little
attention
has
been
paid
to
role
of
variability,
although
underestimating
this
uncertainty
may
lead
costs
change.
Using
large
ensembles
from
seven
coupled
general
circulation
models
with
a
total
414
model
runs,
we
partition
classic
dose-response
relating
county-level
corn
yield,
mortality,
per-capita
gross
domestic
product
temperature
continental
United
States.
The
partitioning
depends
on
time
frame
projection,
model,
geographic
region.
Internal
variability
represents
more
than
50%
certain
projections,
including
mortality
for
early
21st
century,
its
relative
influence
decreases
over
time.
We
recommend
due
many
temperature-driven
impacts,
early-century
midcentury
regions
high
such
as
Upper
Midwest
States,
impacts
nonlinear
relationships.
Abstract
Extreme
heat
and
drought
typical
of
an
end-of-century
climate
could
soon
occur
over
Europe,
repeatedly.
Despite
the
European
being
potentially
prone
to
multi-year
successive
extremes
due
influence
North
Atlantic
variability,
it
remains
unclear
how
likelihood
changes
under
warming,
early
they
reach
levels,
this
is
affected
by
internal
variability.
Using
Max
Planck
Institute
Grand
Ensemble,
we
find
that
even
moderate
levels
virtually
impossible
20
years
ago
1-in-10
likelihoods
as
2030s.
By
2050–2074,
two
single
or
compound
extremes,
unprecedented
date,
exceed
likelihoods;
while
Europe-wide
5-year
megadroughts
become
plausible.
Whole
decades
stress
start
2040,
2020
for
drought,
with
a
warm
Atlantic,
starting
2030
twice
likely.
Journal of Advances in Modeling Earth Systems,
Journal Year:
2023,
Volume and Issue:
15(10)
Published: Oct. 1, 2023
Abstract
Single‐model
initial‐condition
large
ensembles
are
powerful
tools
to
quantify
the
forced
response,
internal
climate
variability,
and
their
evolution
under
global
warming.
Here,
we
present
CMIP6
version
of
Max
Planck
Institute
Grand
Ensemble
(MPI‐GE
CMIP6)
with
currently
30
realizations
for
historical
period
five
emission
scenarios.
The
power
MPI‐GE
goes
beyond
its
predecessor
ensemble
by
providing
high‐frequency
output,
full
range
scenarios
including
highly
policy‐relevant
low
SSP1‐1.9
SSP1‐2.6,
opportunity
compare
complementary
high‐resolution
simulations.
First,
describe
CMIP6,
evaluate
it
observations
reanalyzes
MPI‐GE.
Then,
demonstrate
six
application
examples
how
use
better
understand
future
extremes,
inform
about
uncertainty
in
approaching
Paris
Agreement
warming
limits,
combine
artificial
intelligence.
For
instance,
allows
us
show
that
recently
observed
Siberian
Pacific
North
American
heatwaves
would
only
avoid
reaching
1–2
years
return
periods
2071–2100
scenarios,
European
precipitation
extremes
captured
simulations,
3‐hourly
output
projects
a
decreasing
activity
storms
mid‐latitude
oceans.
Further,
is
ideal
estimates
probabilities
crossing
limits
irreducible
introduced
sufficiently
be
used
infilling
surface
temperature
Annals of the American Association of Geographers,
Journal Year:
2023,
Volume and Issue:
113(5), P. 1092 - 1111
Published: Feb. 21, 2023
There
is
growing
evidence
that
physical
climate
hazards—such
as
floods
and
wildfires—affect
property
prices.
Climate
change
scenarios
suggest
more
frequent
severe
hazards
in
the
future,
coinciding
with
greater
exposure
of
populations
to
such
threats.
This
raises
concern
because
changes
prices
pose
risks
homeowners'
financial
status,
well
insurance
mortgage
industries,
bank
portfolios,
thereby
systems.
We
begin
a
new
definition
gentrification
(CG)
captures
links
between
hazards,
perceptions
risk
resilience,
capital
flows
markets.
followed
by
structured
assessment
key
drivers
CG,
an
empirical
case
study
data
for
flood-prone
UK
city
demonstrate
how
CG
depressed
house
price
growth
over
period
from
2005
2018
up
50
percent
flood-exposed
(relative
unexposed)
locations.
then
provide
discussion
ethical
concerns
around
research,
suggested
ways
forward.
Such
signals
have
potential
ramifications
long-term
stability
real
estate
markets
raise
policy
implications
private
public
sectors.
conclude
some
priorities
further
research
into
recognizing
information
gaps,
noting
existing
knowledge
tools
could
contribute
toward
improved
resilience
change.
Key
Words:
gentrification,
flood,
hedonic
model,