Geophysical Research Letters,
Journal Year:
2021,
Volume and Issue:
48(8)
Published: March 27, 2021
Abstract
The
simultaneous
occurrence
of
extremely
wet
winters
at
multiple
locations
in
the
same
region
can
contribute
to
widespread
flooding
and
associated
socio‐economic
losses.
However,
spatial
extent
precipitation
extremes
(i.e.,
area
which
nearby
experience
simultaneously)
its
future
changes
are
largely
overlooked
climate
assessments.
Employing
new
multi‐thousand‐year
model
simulations,
we
show
that
under
both
2.0
°C
1.5
warming
scenarios,
wintertime
total
extreme
extents
would
increase
over
about
80%–90%
Northern
Hemisphere
extratropics
latitude
band
28°–78°N).
Stabilizing
rather
than
reduce
average
magnitude
by
1.7–2
times.
According
model,
increased
caused
increases
intensity
organization
events.
Relatively
small
percentage
intensities
(e.g.,
4%)
drive
disproportionately
larger,
1–2
orders
magnitude,
growth
(by
93%).
Abstract
Predictions
of
floods,
droughts,
and
fast
drought‐flood
transitions
are
required
at
different
time
scales
to
develop
management
strategies
targeted
minimizing
negative
societal
economic
impacts.
Forecasts
daily
seasonal
scale
vital
for
early
warning,
estimation
event
frequency
hydraulic
design,
long‐term
projections
developing
adaptation
future
conditions.
All
three
types
predictions—forecasts,
estimates,
projections—typically
treat
droughts
floods
independently,
even
though
both
extremes
can
be
studied
using
related
approaches
have
similar
challenges.
In
this
review,
we
(a)
identify
challenges
common
drought
flood
prediction
their
joint
assessment
(b)
discuss
tractable
tackle
these
We
group
into
four
interrelated
categories:
data,
process
understanding,
modeling
prediction,
human–water
interactions.
Data‐related
include
data
availability
definition.
Process‐related
the
multivariate
spatial
characteristics
extremes,
non‐stationarities,
changes
in
extremes.
Modeling
arise
analysis,
stochastic,
hydrological,
earth
system,
modeling.
Challenges
with
respect
interactions
lie
establishing
links
impacts,
representing
interactions,
science
communication.
potential
ways
tackling
including
exploiting
new
sources,
studying
a
framework,
influences
compounding
drivers,
continuous
stochastic
models
or
non‐stationary
models,
obtaining
stakeholder
feedback.
Tackling
one
several
will
improve
predictions
help
minimize
impacts
extreme
events.
This
article
is
categorized
under:
Science
Water
>
Hydrology and earth system sciences,
Journal Year:
2021,
Volume and Issue:
25(7), P. 3897 - 3935
Published: July 7, 2021
Abstract.
Hydroclimatic
extremes
such
as
intense
rainfall,
floods,
droughts,
heatwaves,
and
wind
or
storms
have
devastating
effects
each
year.
One
of
the
key
challenges
for
society
is
understanding
how
these
are
evolving
likely
to
unfold
beyond
their
historical
distributions
under
influence
multiple
drivers
changes
in
climate,
land
cover,
other
human
factors.
Methods
analysing
hydroclimatic
advanced
considerably
recent
decades.
Here
we
provide
a
review
drivers,
metrics,
methods
detection,
attribution,
management,
projection
nonstationary
extremes.
We
discuss
issues
uncertainty
associated
with
approaches
(e.g.
arising
from
insufficient
record
length,
spurious
nonstationarities,
incomplete
representation
sources
modelling
frameworks),
examine
empirical
simulation-based
frameworks
analysis
extremes,
identify
gaps
future
research.
Earth s Future,
Journal Year:
2021,
Volume and Issue:
9(11)
Published: Oct. 25, 2021
Abstract
Compound
weather
and
climate
events
are
combinations
of
drivers
and/or
hazards
that
contribute
to
societal
or
environmental
risk.
Studying
compound
often
requires
a
multidisciplinary
approach
combining
domain
knowledge
the
underlying
processes
with,
for
example,
statistical
methods
model
outputs.
Recently,
aid
development
research
on
events,
four
event
types
were
introduced,
namely
(a)
preconditioned
,
(b)
multivariate
(c)
temporally
compounding
(d)
spatially
events.
However,
guidelines
how
study
these
still
lacking.
Here,
we
consider
case
studies,
each
associated
with
specific
type
question,
illustrate
key
elements
(e.g.,
analytical
tools
relevant
physical
effects)
can
be
identified.
These
studies
show
impacts
crops
from
hot
dry
summers
exacerbated
by
preconditioning
effects
bright
springs.
Assessing
coastal
flooding
in
Perth
(Australia)
considering
dynamics
non‐stationary
process.
For
instance,
future
mean
sea‐level
rise
will
lead
emergence
concurrent
fluvial
extremes,
enhancing
In
Portugal,
deep‐landslides
caused
temporal
clusters
moderate
precipitation
Finally,
crop
yield
failures
France
Germany
strongly
correlated,
threatening
European
food
security
through
effects.
analyses
allow
identifying
general
recommendations
studying
Overall,
our
insights
serve
as
blueprint
analysis
across
disciplines
sectors.
Geophysical Research Letters,
Journal Year:
2020,
Volume and Issue:
47(7)
Published: April 1, 2020
The
magnitudes
of
river
floods
in
Europe
have
been
observed
to
change,
but
their
alignment
with
changes
the
spatial
coverage
or
extent
individual
has
not
clear.
We
analyze
flood
and
extents
for
3,872
hydrometric
stations
across
over
past
five
decades
classify
each
based
on
antecedent
weather
conditions.
find
positive
correlations
between
95%
stations.
In
central
British
Isles,
association
increasing
trends
is
due
a
magnitude-extent
correlation
precipitation
soil
moisture
along
shift
generating
processes.
highlights
importance
transnational
risk
management.
Geophysical Research Letters,
Journal Year:
2022,
Volume and Issue:
49(8)
Published: April 18, 2022
Under
global
warming,
a
novel
category
of
extreme
events
has
become
increasingly
apparent,
where
flood
and
hot
extremes
occur
in
rapid
succession,
causing
significant
damages
to
infrastructure
ecosystems.
However,
these
bivariate
compound
flood-hot
(CFH)
hazards
have
not
been
comprehensively
examined
at
the
scale,
their
evolution
under
climate
warming
remains
unstudied.
Here,
we
present
first
picture
projected
changes
CFH
by
using
cascade
modeling
chain
CMIP6
models,
satellite
reanalysis
data
sets,
bias
correction,
hydrological
models.
We
find
an
increasing
percentage
floods
will
be
accompanied
change;
joint
return
periods
CFHs
are
decrease
globally,
particularly
tropics.
These
decreasing
largely
driven
indicate
likely
increase
hazards,
ultimately
highlight
urgent
need
conduct
adaptation
planning
for
future
risks.
Abstract
Anomalies
in
the
frequency
of
river
floods,
i.e.,
flood-rich
or
-poor
periods,
cause
biases
flood
risk
estimates
and
thus
make
climate
adaptation
measures
less
efficient.
While
observations
have
recently
confirmed
presence
anomalies
Europe,
their
exact
causes
are
not
clear.
Here
we
analyse
streamflow
during
1960-2010
to
show
that
shifts
generation
processes
contribute
more
occurrence
regional
than
changes
extreme
rainfall.
A
shift
from
rain
on
dry
soil
wet
events
by
5%
increased
periods
Atlantic
region,
an
opposite
Mediterranean
region
flood-poor
but
will
likely
singular
floods
occur
often.
Flood
driven
changing
Europe
may
further
intensify
a
warming
should
be
considered
estimation
management.
Geophysical Research Letters,
Journal Year:
2020,
Volume and Issue:
47(13)
Published: June 10, 2020
Abstract
Floods
often
affect
large
regions
and
cause
adverse
societal
impacts.
Regional
flood
hazard
risk
assessments
therefore
require
a
realistic
representation
of
spatial
dependencies
to
avoid
the
overestimation
or
underestimation
risk.
However,
it
is
not
yet
well
understood
how
dependence,
that
is,
degree
co‐occurrence
floods
at
different
locations,
varies
in
space
time
which
processes
influence
strength
this
dependence.
We
identify
United
States
with
seasonally
similar
behavior
analyze
governing
find
dependence
regionally
generally
strongest
winter
spring
weakest
summer
fall.
Moreover,
we
land‐surface
are
crucial
shaping
spatiotemporal
characteristics
events.
conclude
regional
seasonal
variations
must
be
considered
when
conducting
current
future
assessments.
Hydrology and earth system sciences,
Journal Year:
2021,
Volume and Issue:
25(3), P. 1347 - 1364
Published: March 19, 2021
Abstract.
Recent
studies
have
shown
evidence
of
increasing
and
decreasing
trends
for
average
floods
flood
quantiles
across
Europe.
Studies
attributing
observed
changes
in
peaks
to
their
drivers
mostly
focused
on
the
behaviour,
without
distinguishing
small
large
floods.
This
paper
proposes
a
new
framework
potential
drivers,
as
function
return
period
(T),
regional
context.
We
assume
follow
non-stationary
Gumbel
distribution,
where
median
100-year
growth
factor
are
used
parameters.
They
allowed
vary
time
between
catchments
quantified
by
covariates.
The
elasticities
with
respect
contributions
estimated
Bayesian
inference.
prior
distributions
hydrological
reasoning
from
literature.
attribution
model
is
applied
European
covariate
data
aims
at
trend
patterns
specific
different
periods
scale.
analyse
discharge
records
2370
hydrometric
stations
Europe
over
1960–2010.
Extreme
precipitation,
antecedent
soil
moisture
snowmelt
change
considered
this
study.
Results
show
that,
northwestern
Europe,
extreme
precipitation
mainly
contributes
both
(q2)
(q100),
while
secondary
importance.
In
southern
contribute
changes,
relative
importance
depends
period.
Antecedent
main
contributor
q2,
two
larger
(T>10
years)
comparable.
eastern
drives
q2
q100.