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.
Water Resources Research,
Год журнала:
2025,
Номер
61(4)
Опубликована: Апрель 1, 2025
Abstract
Forest
thinning
and
prescribed
fire
are
expected
to
improve
the
climate
resilience
water
security
of
forests
in
western
U.S.,
but
few
studies
have
directly
modeled
hydrological
effects
multi‐decadal
landscape‐scale
forest
disturbance.
By
updating
a
distributed
process‐based
model
(DHSVM)
with
vegetation
maps
from
ecosystem
(LANDIS‐II),
we
simulate
resource
impacts
management
scenarios
targeting
partial
or
full
restoration
pre‐colonial
disturbance
return
interval
central
Sierra
Nevada
mountains.
In
fully
restored
regime
that
includes
fire,
thinning,
insect
mortality,
reservoir
inflow
increases
by
4%–9%
total
8%–14%
dry
years.
At
sub‐watershed
scales
(10–100
km
2
),
dense
can
increase
streamflow
>20%
thinner
forest,
increased
understory
transpiration
compensates
for
decreased
overstory
transpiration.
Consequentially,
73%
gains
attributable
rain
snow
interception
loss.
Thinner
headwater
peak
flows,
reservoir‐scale
flows
almost
exclusively
influenced
climate.
Uncertainty
future
precipitation
causes
high
uncertainty
yield,
additional
yield
is
about
five
times
less
sensitive
annual
uncertainty.
This
decoupling
response
makes
especially
valuable
supply
during
Our
study
confidence
benefits
restoring
historic
frequencies
mountains,
our
modeling
framework
widely
applicable
other
forested
mountain
landscapes.
Hydrology,
Год журнала:
2022,
Номер
9(10), С. 164 - 164
Опубликована: Сен. 22, 2022
In
this
article,
we
present
the
use
of
coupled
land
surface
model
and
groundwater
flow
SWAT-MODFLOW
with
decision
support
tool
WEAP
(Water
Evaluation
Planning
software)
to
predict
future
surface-water
abstraction
scenarios
in
a
complex
river
basin
under
conditions
climate
change.
The
modelling
framework
is
applied
Dee
River
catchment
Wales,
United
Kingdom.
Regarding
hydrology,
improves
overall
water
balance
low-streamflow
compared
stand-alone
SWAT
model.
calibrated
employed
high-resolution
data
from
UKCP18
project
scenario
RCP85
2020
2040.
Then,
supply
results
are
fed
into
as
input
for
reach
downstream
region
basin.
This
system
utilized
create
various
public
region—maximum
licensed
withdraw,
50%
authorized
abstractions,
monthly
time
series
1%
increases
use,
maximum
withdraw
per
year
based
on
historical
records
repeated
every
use—to
estimate
unmet
demands
streamflow
requirement.
approach
can
be
used
other
basins
manage
demand.
Geophysical Research Letters,
Год журнала:
2023,
Номер
50(12)
Опубликована: Июнь 14, 2023
Abstract
The
El
Niño/Southern
Oscillation
(ENSO)
affects
the
occurrence
frequency
and
intensity
of
extreme
precipitation
through
modulations
regional
heat
moisture
fluxes.
California
experiences
particularly
strong
ENSO
influences
models
project
different
to
its
precipitation.
It
remains
unclear
how
diverse
projections
future
extremes
relate
inter‐model
differences
for
those
changing
signals.
Here,
we
use
“large
ensemble”
simulations
with
multiple
climate
along
Coupled
Model
Intercomparison
Project
Phase
5
investigate
range
changes
over
from
ENSO‐related
teleconnections.
We
found
that
amount
increases
are
much
larger
during
Niño
relative
La
Niña
years,
mainly
caused
by
in
events
phases.
ENSO‐driven
effect
is
even
than
overall
change
signal
most
events,
implying
uncertainties
SST
variability
changes.
Proceedings of the National Academy of Sciences,
Год журнала:
2024,
Номер
121(20)
Опубликована: Апрель 29, 2024
The
increasing
prevalence
of
low
snow
conditions
in
a
warming
climate
has
attracted
substantial
attention
recent
years,
but
focus
exclusively
on
leaves
high
years
relatively
underexplored.
However,
these
large
are
hydrologically
and
economically
important
regions
where
is
critical
for
water
resources.
Here,
we
introduce
the
term
“snow
deluge”
use
anomalously
snowpack
California’s
Sierra
Nevada
during
2023
year
as
case
study.
Snow
monitoring
sites
across
state
had
median
41
y
return
interval
April
1
equivalent
(SWE).
Similarly,
process-based
model
showed
54
statewide
SWE
(90%
CI:
38
to
109
y).
While
droughts
can
result
from
either
warm
or
dry
conditions,
deluges
require
both
cool
wet
conditions.
Relative
last
century,
cool-season
temperature
precipitation
deluge
were
moderately
anomalous,
while
was
highly
anomalous
relative
climatology.
Downscaled
models
Shared
Socioeconomic
Pathway-370
scenario
indicate
that
California
deluges—which
define
20
event—are
projected
decline
with
change
(58%
by
late
century),
although
less
so
than
(73%
century).
This
pattern
occurs
western
United
States.
Changes
deluge,
discrepancies
between
changes,
could
impact
resources
ecosystems.
Understanding
changes
therefore
appropriate
adaptation.
Abstract
Societal
perceptions
of
river
floods
are
typically
negative
because
the
death
and
destruction
they
may
cause,
although
scientists
natural
resource
managers
have
long
recognized
critical
ecological
role
floods.
Like
fire
some
other
disturbances,
flooding
intersects
many
aspects
ecology
society.
But
unlike
fire,
receives
relatively
little
attention
in
disturbance
literature.
We
call
for
more
focused
recognition
flood
as
a
discipline
to
help
science
better
inform
societal
through
developing
understanding
roles
flooding.
contend
that
absence
has
constrained
progress
our
how
rivers
function
formal
conceptualization
could
reveal
positive
Finally,
we
propose
series
questions
believe
should
address.
Proceedings of the National Academy of Sciences,
Год журнала:
2024,
Номер
121(32)
Опубликована: Июль 29, 2024
Large
volumes
of
liquid
water
transiently
existed
on
the
surface
Mars
more
than
3
billion
years
ago.
Much
this
is
hypothesized
to
have
been
sequestered
in
subsurface
or
lost
space.
We
use
rock
physics
models
and
Bayesian
inversion
...
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 29, 2024
Abstract
As
extreme
precipitation
intensifies
under
climate
change,
traditional
risk
models
based
on
the
‘100-year
return
period’
concept
are
becoming
inadequate
in
assessing
real-world
risks.
In
response,
this
nationwide
study
explores
shifting
extremes
non-stationary
warming
using
high-resolution
data
across
contiguous
United
States.
Results
reveal
pronounced
variability
100-year
levels,
with
Coastal
and
Southern
regions
displaying
highest
baseline
projections,
future
spikes
anticipated
Northeast,
Ohio
Valley,
Northwest,
California.
Exposure
analysis
indicates
approximately
53
million
residents
currently
reside
high-risk
zones,
potentially
almost
doubling
tripling
2
°C
4
warming.
Drought
frequency
also
rises,
over
37%
of
major
farmland
vulnerable
to
multi-year
droughts,
raising
agricultural
Record
2023
sea
surface
temperature
anomalies
suggest
an
impending
El
Niño
event,
demonstrating
need
account
for
natural
variability.
The
insights
gained
aim
inform
decision-makers
shaping
adaptation
strategies
enhancing
resilience
communities
response
evolving
extremes.
Abstract
Today,
climate
change
is
affecting
virtually
all
terrestrial
and
nearshore
settings.
This
commentary
discusses
the
challenges
of
measuring
climate‐driven
physical
landscape
responses
to
modern
global
warming:
short
incomplete
data
records,
land
use
seismicity
masking
climatic
effects,
biases
in
availability
resolution,
signal
attenuation
sedimentary
systems.
We
identify
opportunities
learn
from
historical
paleo
data,
select
especially
sensitive
study
sites,
report
null
results
better
characterize
extent
nuances
climate‐change
effects.
then
discuss
efforts
improve
attribution
practices,
which
will
lead
predictive
capabilities.
encourage
Earth‐science
community
prioritize
scientific
research
on
changes
so
that
societies
be
prepared
manage
effects
health
safety,
infrastructure,
water–food–energy
security,
economics,
ecosystems
follow
change.