Temporally
compounding
atmospheric
river
(AR)
events
cause
severe
flooding
and
damage
in
California.
However,
the
contribution
of
temporal
to
AR-induced
loss
has
yet
be
systematically
quantified.
We
show
that
strongest
ARs
are
more
likely
part
sequences,
which
periods
elevated
hydrologic
hazard
associated
with
temporally
clustered
ARs.
Sequences
increase
likelihood
flood-related
impacts
by
8.3%
on
AR
days
5.4%
non-AR
days,
across
two
independent
datasets,
we
find
within
sequences
have
over
three
times
higher
expected
losses
compared
outside
sequences.
Expected
also
when
preceding
is
intensity,
time
since
shorter,
an
second
or
later
event
a
sequence.
conclude
critical
source
information
for
predicting
AR's
potential
consequences.
Cities
worldwide
are
experiencing
record-breaking
summer
temperatures.
Urban
environments
exacerbate
extreme
heat,
resulting
in
not
only
the
urban
heat
island
but
also
intracity
variations
exposure.
Understanding
these
disparities
is
crucial
to
support
equitable
climate
mitigation
and
adaptation
efforts.
We
found
persistent
negative
correlations
between
daytime
land
surface
temperature
(LST)
median
household
income
across
Los
Angeles
metropolitan
area
based
on
Ecosystem
Spaceborne
Thermal
Radiometer
Experiment
Space
Station
observations
from
2018
2021.
Lower
evapotranspiration
unequal
distribution
of
vegetation
cover
a
major
factor
leading
higher
LST
low-income
neighborhoods.
Disparities
worsen
with
regional
mean
temperature,
$10,000
decrease
~0.2°C
increase
at
20°C
up
~0.7°C
45°C.
With
more
frequent
intense
waves
projected
future,
measures,
such
as
increasing
albedo
tree
neighborhoods,
necessary
address
disparities.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Фев. 22, 2024
Abstract
A
comprehensive
understanding
of
human-induced
changes
to
rainfall
is
essential
for
water
resource
management
and
infrastructure
design.
However,
at
regional
scales,
existing
detection
attribution
studies
are
rarely
able
conclusively
identify
human
influence
on
precipitation.
Here
we
show
that
anthropogenic
aerosol
greenhouse
gas
(GHG)
emissions
the
primary
drivers
precipitation
change
over
United
States.
GHG
increase
mean
extreme
from
rain
gauge
measurements
across
all
seasons,
while
decadal-scale
effect
global
decreases
Local
further
offset
increases
in
winter
spring
but
enhance
during
summer
fall.
Our
results
conflicting
literature
historical
trends
can
be
explained
by
offsetting
signals.
At
scale
States,
individual
climate
models
reproduce
observed
cannot
confidently
determine
whether
a
given
agent
has
increased
or
decreased
rainfall.
International Journal of Climatology,
Год журнала:
2024,
Номер
44(7), С. 2207 - 2229
Опубликована: Март 28, 2024
Abstract
California
is
one
of
the
major
uncertainty
hotspots
for
climate
change,
as
models
have
historically
been
split
between
projecting
wetter
and
drier
future
conditions
over
region.
We
analysed
(mid‐century
end‐century)
projections
California's
winter
precipitation
changes
from
latest
Coupled
Model
Intercomparison
Project
Phase
6
(CMIP6),
studied
its
respective
model
agreement
in
comparison
to
previous
CMIP5
projections.
Over
northern
more
than
two
thirds
each
ensemble
agree
on
conditions.
However,
southern
both
ensembles
show
highly
uncertain
changes,
with
almost
equally
divided
or
Projected
end‐century
range
−30%
+70%
−20%
+80%
CMIP6.
The
CMIP6
mean
are
generally
larger
disagreement
compared
CMIP5.
Distribution
year‐to‐year
indicates
extremely
wet
dry
years
CMIP5,
some
suggesting
that
five
wettest
account
much
~55%
20‐year
rainfall,
driest
little
~5%.
Dynamically,
project
weakened
subsidence
Baja
stronger
line
In
western
tropical
Pacific
we
find
strengthening
Hadley
circulation
not
seen
El
Niño
La
Niña
equatorial
Pacific.
More
also
an
increase
ENSO
events
a
impact
found
These
factors
contribute
Abstract
Extreme
flooding
events
are
becoming
more
frequent
and
costly,
impacts
have
been
concentrated
in
cities
where
exposure
vulnerability
both
heightened.
To
manage
risks,
governments,
the
private
sector,
households
now
rely
on
flood
hazard
data
from
national‐scale
models
that
lack
accuracy
urban
areas
due
to
unresolved
drainage
processes
infrastructure.
Here
we
assess
uncertainties
of
First
Street
Foundation
(FSF)
data,
available
across
U.S.,
using
a
new
model
(PRIMo‐Drain)
resolves
infrastructure
fine
resolution
dynamics.
Using
case
Los
Angeles,
California,
find
FSF
PRIMo‐Drain
estimates
population
property
value
exposed
1%‐
5%‐annual‐chance
hazards
diverge
at
finer
scales
governance,
for
example,
by
4‐
18‐fold
municipal
scale.
often
predict
opposite
patterns
inequality
social
groups
(e.g.,
Black,
White,
Disadvantaged).
Further,
county
scale,
compute
Model
Agreement
Index
only
24%—a
∼1
4
chance
agreeing
upon
which
properties
risk.
Collectively,
these
differences
point
limited
capacity
confidently
municipalities,
groups,
individual
risk
within
areas.
These
results
caution
present
may
misinform
strategies
lead
maladaptation,
underscoring
importance
refined
validated
models.
Journal of Advances in Modeling Earth Systems,
Год журнала:
2023,
Номер
15(10)
Опубликована: Окт. 1, 2023
Abstract
The
1997
New
Year's
flood
event
was
the
most
costly
in
California's
history.
This
compound
extreme
driven
by
a
category
5
atmospheric
river
that
led
to
widespread
snowmelt.
Extreme
precipitation,
snowmelt,
and
saturated
soils
produced
heavy
runoff
causing
inundation
Sacramento
Valley.
study
recreates
using
Regionally
Refined
Mesh
capabilities
of
Energy
Exascale
Earth
System
Model
(RRM‐E3SM)
under
prescribed
ocean
conditions.
Understanding
processes
events
informs
practical
efforts
anticipate
prepare
for
such
future,
also
provides
rich
context
evaluate
model
skill
representing
extremes.
Three
California‐focused
RRM
grids,
with
horizontal
resolution
refinement
14
km
down
3.5
km,
six
forecast
lead
times,
28
December
1996
at
00Z
through
30
12Z,
are
assessed
their
ability
recreate
flood.
Planetary
synoptic
scale
circulations
integrated
vapor
transport
weakly
influenced
over
California.
Topography
mesoscale
circulations,
as
Sierra
barrier
jet,
better
represented
finer
resolutions
resulting
estimates
storm
total
precipitation
duration
snowpack
changes.
Traditional
time‐series
causal
analysis
frameworks
used
examine
sensitivities
state‐wide
above
major
reservoirs.
These
show
plays
more
prominent
role
shaping
reservoir
inflows,
namely
magnitude
shape,
than
time,
2‐to‐4
days
prior
onset.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Фев. 19, 2024
Abstract
The
convergence
of
urban
expansion,
deteriorating
infrastructure,
and
a
changing
climate
will
escalate
the
risks
stormwater
pollution
flooding
in
coming
decades.
Using
outputs
from
an
ensemble
global
models
to
drive
high
spatial
resolution
model,
we
analyzed
change
impacts
on
runoff
control
measures
for
23
cities
across
United
States.
Runoff
model
two
future
emissions
scenarios
ending
2055
were
compared
against
historical
scenario
assess
changes.
All
showed
increases
average
annual
runoff,
with
changes
up
30%
over
next
30
years
due
greater
frequency
intensity
storm
events.
substantial
variation
untreated
increasing
by
as
much
48%.
Patterns
within
affect
performance
distributed
treatment
strategies
such
Green
Stormwater
Infrastructure
(GSI)
meet
municipal
water
quality
improvement
reduction
goals.
Results
indicate
that
adoption
adaptable
design
standards
decision
support
tools
readily
accommodate
projected
precipitation
are
critical
supporting
more
resilient
designs
measures.
Abstract.
Rainfall
strongly
affects
landslide
triggering;
however,
understanding
how
storm
characteristics
relate
to
the
severity
of
landslides
at
regional
scale
has
thus
far
remained
unclear,
despite
societal
benefits
that
would
result
from
defining
this
relationship.
As
mapped
inventories
typically
cover
a
small
region
relative
system,
here
we
develop
proxy
for
landslide-inducing
rainfall,
A*,
based
on
extremes
modelled
soil
water
its
local
climatology.
We
calibrate
A*
using
four
inventories,
comprising
over
11,000
individual
unique
events,
and
find
common
threshold
can
be
applied
estimate
shallow
triggering
potential
across
diverse
climatic
regimes
in
California
(USA).
then
use
spatial
distribution
along
with
topography,
calculate
area
(LPA)
nine
events
past
twenty
years,
test
whether
atmospheric
metrics
describing
strength
landfalling
storms,
such
as
integrated
vapor
transport,
correlate
magnitude
hazardous
rainfall.
although
largest
LPA
do
occur
during
exceptional
river
(AR)
rivers
does
not
neatly
area,
even
exceptionally
strong
ARs
may
yield
minimal
impacts.
Other
factors,
antecedent
moisture
driven
by
frequency,
mesoscale
precipitation
features
within
are
instead
more
likely
dictate
patterns
landslide-generating
rainfall
throughout
state.
npj natural hazards.,
Год журнала:
2025,
Номер
2(1)
Опубликована: Янв. 16, 2025
In
Derna,
Libya,
a
record-breaking
storm
and
subsequent
dam
failures
on
September
10,
2023,
caused
over
11,000
deaths.
Analyzing
satellite
data
from
2016–2023,
we
found
1.8
mm/yr
of
differential
settlement
in
dams
contributed
to
their
failure,
flooding
damaged
~8570
buildings.
We
argue
that
the
interplay
aging
infrastructure,
political
instability,
climate
change,
human
decisions
drove
this
disaster,
stressing
need
for
holistic
'healthcare'
management
approach
prevent
future
catastrophes.
Water Resources Research,
Год журнала:
2025,
Номер
61(1)
Опубликована: Янв. 1, 2025
Abstract
Flooding
is
one
of
the
most
impactful
weather‐related
natural
hazards.
Numerical
models
that
solve
two
dimensional
(2D)
shallow
water
equations
(SWE)
represent
first‐principles
approach
to
simulate
all
types
spatial
flooding,
such
as
pluvial,
fluvial,
and
coastal
their
compound
dynamics.
High
resolution
(e.g.,
()
m)
needed
in
2D
SWE
simulations
capture
flood
dynamics
accurately,
resulting
formidable
computational
challenges.
Thus,
relatively
coarser
resolutions
are
used
for
large‐scale
which
introduce
uncertainties
results.
It
unclear
how
uncertainty
associated
with
model
compares
precipitation
data
sets
assumptions
regarding
boundary
conditions
when
channelized
flows
interact
other
bodies.
In
this
study,
we
compare
these
three
sources
2017
Houston
flooding
event.
Our
results
show
mesh
have
more
significant
impacts
on
simulated
streamflow
inundation
than
choice
downstream
condition
at
watershed
outlet.
We
point
out
viability
confine
coarsening
by
using
variable
(VRM)
refines
critical
topographic
features
far
fewer
grid
cells.
Specifically,
VRM,
depths
over
refined
region
comparable
use
finest
uniform
mesh.
This
study
contributes
understanding
challenges
pathways
applying
improve
realism
large
scales.