Environmental Research Letters,
Journal Year:
2023,
Volume and Issue:
18(10), P. 104027 - 104027
Published: Sept. 15, 2023
Abstract
Bangladesh
is
highly
vulnerable
to
flood
hazards,
and
its
risk
projected
increase
with
global
warming.
In
addition
climate
change,
internal
variation,
such
as
the
El
Niño–Southern
Oscillation
(ENSO),
influences
flooding
in
many
rivers
worldwide.
However,
impact
of
variability
on
remains
unclear
due
limited
observations.
Here,
we
assess
impacts
ENSO
change
occurrence
using
a
large-ensemble
simulation
dataset
river
model
(CaMa-Flood).
After
separating
6000
years
(100-member
ensemble
simulations
for
1950–2010)
into
Niño,
La
Niña,
neutral
years,
calculated
extent
which
each
stage
increased
probability
relative
state
fraction
attributable
method.
addition,
estimated
historical
past
through
comparison
without
Under
no-global-warming
climate,
Niña
10
year
return
period
at
Hardinge
Bridge
Ganges
River
by
38%
compared
years.
The
influence
or
Niño
Brahmaputra
Bahadurabad
station
negligible.
Historical
warming
River,
their
confluence
59%,
44%,
55%,
respectively.
decreased
simulation,
likely
conflation
signals,
no
significant
correlation
between
was
detected
when
only
small-ensemble
were
used.
These
findings
suggest
that
use
datasets
essential
precise
attribution
Bangladesh.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(28)
Published: July 3, 2023
Compound
drought
and
heatwave
(CDHW)
events
have
garnered
increased
attention
due
to
their
significant
impacts
on
agriculture,
energy,
water
resources,
ecosystems.
We
quantify
the
projected
future
shifts
in
CDHW
characteristics
(such
as
frequency,
duration,
severity)
continued
anthropogenic
warming
relative
baseline
recent
observed
period
(1982
2019).
combine
weekly
information
for
26
climate
divisions
across
globe,
employing
historical
model
output
from
eight
Coupled
Model
Intercomparison
Project
6
GCMs
three
Shared
Socioeconomic
Pathways.
Statistically
trends
are
revealed
both
simulated
(2020
2099).
East
Africa,
North
Australia,
America,
Central
Asia,
Europe,
Southeastern
South
America
show
greatest
increase
frequency
through
late
21st
century.
The
Southern
Hemisphere
displays
a
greater
occurrence,
while
Northern
severity.
Regional
warmings
play
role
changes
most
regions.
These
findings
implications
minimizing
of
extreme
developing
adaptation
mitigation
policies
cope
with
risk
water,
food
sectors
critical
geographical
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: June 14, 2023
Compound
dry-hot
extreme
(CDHE)
events
pose
greater
risks
to
the
environment,
society,
and
human
health
than
their
univariate
counterparts.
Here,
we
project
decadal-length
changes
in
frequency
duration
of
CDHE
for
major
U.S.
cities
during
21st
century.
Using
Weather
Research
Forecasting
(WRF)
model
coupled
an
urban
canopy
parameterization,
find
a
considerable
increase
future
across
all
under
compound
effect
high-intensity
GHG-
development-induced
warming.
Our
results
indicate
that
while
GHG-induced
warming
is
primary
driver
increased
events,
development
amplifies
this
should
not
be
neglected.
Furthermore,
We
show
highest
amplification
expected
Great
Plains
South,
Southwest,
southern
part
Northwest
National
Climate
Assessment
regions.
Annals of the New York Academy of Sciences,
Journal Year:
2022,
Volume and Issue:
1517(1), P. 44 - 62
Published: Sept. 2, 2022
Abstract
Climate
change
is
drastically
altering
the
frequency,
duration,
and
severity
of
compound
drought‐heatwave
(CDHW)
episodes,
which
present
a
new
challenge
in
environmental
socioeconomic
sectors.
These
threats
are
particular
importance
low‐income
regions
with
growing
populations,
fragile
infrastructure,
threatened
ecosystems.
This
review
synthesizes
emerging
progress
understanding
CDHW
patterns
Brazil
while
providing
insights
about
impacts
on
fire
occurrence
public
health.
Evidence
mounting
that
heatwaves
becoming
increasingly
linked
droughts
northeastern
southeastern
Brazil,
Amazonia,
Pantanal.
In
those
regions,
recent
studies
have
begun
to
build
better
physical
mechanisms
behind
events,
such
as
soil
moisture–atmosphere
coupling,
promoted
by
exceptional
atmospheric
blocking
conditions.
Results
hint
at
synergy
between
events
high
activity
country
over
last
decades,
most
example
being
catastrophic
2020
fires
Moreover,
we
show
HWs
were
responsible
for
increasing
mortality
preterm
births
during
record‐breaking
Brazil.
work
paves
way
more
in‐depth
their
impacts,
crucial
enhance
adaptive
capacity
different
Brazilian
Weather and Climate Extremes,
Journal Year:
2023,
Volume and Issue:
42, P. 100632 - 100632
Published: Nov. 22, 2023
Climate
change
is
exacerbating
the
occurrence
of
compound
droughts
and
heatwaves
(CDHWs),
which
pose
a
serious
threat
to
human
health
socio-economic
development.
Using
daily
maximum
temperature
(Tmax)
monthly
self-calibrating
Palmer
drought
severity
index
(sc-PDSI)
dataset,
The
evolution
patterns
CDHWs
wet-heatwave
events,
dominant
drivers
relative
contributions
in
drylands
humid
areas
from
1961
2020
were
compared
analyzed.
results
show
that
types
are
stronger
than
areas,
growth
rate
was
almost
twice
greater
multi-year
average
intensity
events
by
up
2.4
times.
Moreover,
has
increased
significantly
past
period
(1961–1990)
recent
warm
(1991–2020),
heatwave
threshold
about
5
°C.
In
most
drylands,
contribution
dominates,
whereas
does.
compounding
effects
may
exacerbate
regionally
pronounced
taking
into
account
optimal
lags.
study
findings
could
provide
scientific
technological
support
actively
address
global
climate
risks.
Climate Dynamics,
Journal Year:
2024,
Volume and Issue:
62(6), P. 5683 - 5697
Published: March 22, 2024
Abstract
El
Niño
Southern
Oscillation
(ENSO)
is
the
prominent
recurrent
climatic
pattern
in
tropical
Pacific
Ocean
with
global
impacts
on
regional
climates.
This
study
utilizes
deep
learning
to
predict
3.4
index
by
encoding
non-linear
sea
surface
temperature
patterns
using
an
autoencoder
neural
network.
The
resulting
encoded
identify
crucial
centers
of
action
that
serve
as
predictors
ENSO
mode.
These
are
utilized
for
forecasting
a
lead
time
at
least
6
months
Long
Short-Term
Memory
(LSTM)
model.
analysis
uncovers
multiple
dipole
Pacific,
anomalies
both
regionalized
and
latitudinally
oriented
should
support
single
inter-tropical
convergence
zone
modeling
efforts.
Leveraging
these
predictors,
LSTM
-
trained
monthly
data
from
1950
2007
tested
2008
2022
shows
fidelity
predicting
index.
captured
annual
cycle
0.94
correlation
between
actual
predicted
lag
12
0.91
lags
18.
Additionally,
6-month
predictions
excel
detecting
extreme
events,
achieving
85%
hit
rate,
outperforming
70%
rate
55%
prediction
accuracy
peaks
November
March,
correlations
ranging
0.96.
average
boreal
spring
were
large
0.84,
indicating
method
has
capability
decrease
predictability
barrier.
Frontiers in Earth Science,
Journal Year:
2023,
Volume and Issue:
10
Published: Feb. 3, 2023
Droughts
and
heatwaves
are
rising
concerns
with
regard
to
the
frequent
formation
of
compound
or
concurrent
extremes
(CEs),
which
can
cause
greater
havoc
than
an
individual
event
a
higher
magnitude.
Recently,
they
have
been
frequently
detected
form
CEs
together
other
events
(e.g.,
floods,
aridity,
humidity
events)
concurrently
spatiotemporal
lags.
Therefore,
this
systematic
review
assesses
these
by
reviewing
following
aspects:
CE
hotspots,
events,
variable
combinations
that
CEs;
analyzed
parameters
frequency
severity);
large-scale
modes
climate
variability
(CV)
as
drivers
alongside
approaches
relate
them
impacts
yield
loss
fire
risk)
impact
integration
from
166
screened
publications.
Additionally,
three
varied
analysis
frameworks
summarized
highlight
different
components
drought-
heatwave-associated
CEs,
is
novelty
study.
The
vary
major
assessment
objectives:
only
(event–event),
driver
association
(event–driver),
(event–impact).
According
review,
most
reported
hotspots
in
global
studies
southern
Africa,
Australia,
South
America,
Southeast
Asia.
In
regional
studies,
several
vital
Iberian
Peninsula,
Balkans,
Mediterranean
Basin)
reported,
some
not
mentioned
because
usually
report
broader
regions.
addition,
drought
heatwave;
heatwave
stagnation)
varying
combination
variables,
namely,
temperature,
precipitation,
their
derived
indices.
Thus,
study
presents
for
prospective
researchers.
Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(11)
Published: May 29, 2024
Abstract
Although
it
is
known
that
the
frequency
and
intensity
of
heatwaves
are
affected
by
El
Niño–Southern
Oscillation
(ENSO),
unknown
ENSO
modulations
on
moving
properties
(e.g.,
distance
speed)
spatiotemporally
contiguous
heatwaves.
Here,
we
investigate
relationship
between
patterns
We
show
likely
more
frequent,
persistent,
longer‐traveling,
but
slower‐moving
during
Niño
than
La
Niña
episodes.
The
differences
in
tropical
influenced
persistent
high‐pressure
anomalies.
During
following
summers,
can
induce
anomalous
atmospheric
circulation
characterized
an
intensified
subsidence
over
western
North
Pacific
ascending
motion
Indian
Oceans.
These
features
provide
favorable
conditions
for
occurrence
maintenance