Environmental Research Letters,
Journal Year:
2023,
Volume and Issue:
18(12), P. 124044 - 124044
Published: Nov. 8, 2023
Abstract
Dams
that
serve
a
dual
purpose
of
water
supply
and
flood
mitigation
operate
to
maintain
defined
full
level
balances
the
two
conflicting
requirements.
To
optimize
use
available
storage
space,
may
be
adjusted
reflect
changing
risks
future
shortages
inflows
based
on
known
seasonal
variations
current
observations.
The
Warragamba
Dam
in
eastern
Australia
is
located
upstream
populated
Hawkesbury-Nepean
valley
which
has
one
largest
exposures
country.
However,
operating
protocol
reservoir
does
not
include
provisions
reduce
dam
for
mitigation.
Large
scale
climate
indicators
are
influence
hydroclimate
this
region
potentially
contain
useful
information
inform
reservoir,
but
their
utility
been
studied.
Here
we
explore
whether
observations
large-scale
along
with
antecedent
catchment
conditions
can
used
estimate
probability
large
into
next
3-
6
months,
aid
management.
We
find
predictors
have
substantial
inflows.
differences
during
opposite
predictor
phases
vary
by
season
range
from
30%
70%.
Our
results
indicate
considering
merit.
Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(9)
Published: April 29, 2024
Abstract
Australia
is
one
of
the
regions
strongly
affected
by
El
Niño‐Southern
Oscillation
(ENSO).
The
recent
2020–2023
La
Niña
event
was
marked
record‐breaking
rainfall
and
flooding
across
eastern
Australia.
continuous
wet
conditions
during
triple
motivated
us
to
explore
impacts
single‐year
multi‐year
ENSO
events
on
Australian
using
observational
data
sets.
We
find
that,
while
there
no
difference
in
single
or
double
Niño
events,
tends
increase
third
year
compared
first
second
years.
enhanced
impact
occurs
despite
strengthening
tropical
Pacific,
suggesting
that
other
processes
such
as
local
rainfall‐soil
moisture
feedback
may
play
a
role
prolonging
effects
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(6), P. 1383 - 1401
Published: March 27, 2024
Abstract.
In
drought-prone
Australia,
multi-year
droughts
have
detrimental
impacts
on
both
the
natural
environment
and
human
societies.
For
responsible
water
management,
we
need
a
thorough
understanding
of
full
range
variability
in
how
this
might
change
warming
world.
But
research
into
long-term
frequency,
persistence,
severity
Australian
is
limited.
This
partly
due
to
length
observational
record,
which
short
relative
timescales
hydroclimatic
hence
may
not
capture
possible
variability.
Using
simulations
precipitation
over
past
millennium
(850–2000),
characterise
nature
meteorological
across
Australia
include
particular
focus
Murray–Darling
Basin
(MDB),
largest
agricultural
region
Australia.
We
find
that
simulated
20th
century
(1900–2000)
are
within
bounds
pre-industrial
terms
drought
intensity,
severity,
frequency.
A
tendency
for
last
longer
southwestern
eastern
(including
MDB)
century,
compared
with
period,
suggests
an
emerging
anthropogenic
influence,
consistent
projected
rainfall
changes
these
regions.
Large
volcanic
eruptions
tend
promote
drought-free
intervals
MDB.
Model
suggest
future
could
be
much
than
what
was
experienced
even
without
any
influence.
With
addition
climate
change,
favours
conditions
southern
reduced
cool-season
rainfall,
it
likely
will
exceed
recent
historical
experience.
Journal of Geophysical Research Atmospheres,
Journal Year:
2025,
Volume and Issue:
130(2)
Published: Jan. 10, 2025
Abstract
El
Niño–Southern
Oscillation
(ENSO)
is
a
prominent
climate
phenomenon
affecting
precipitation
patterns
across
much
of
the
world.
Regional
ENSO‐precipitation
teleconnections
are
often
asymmetric
such
that
response
to
Niño
stronger
or
weaker
than
La
Niña.
Better
understanding
asymmetry
in
can
improve
predictability
extremes
during
ENSO
events.
In
this
study,
we
assess
capability
50
state‐of‐the‐art
models
and
reanalysis
against
observational
data
simulating
seasonal
differences
ENSO.
The
analysis
performed
46
sub‐continental
scale
regions,
using
composite
technique
for
deriving
component
response.
Significant
regional
diversity
found
ENSO,
both
observations
models.
Model
performance
nature
higher
associated
asymmetry.
capturing
highest
austral
spring.
model
biases
related
inability
accurately
simulate
skewness
heavy
tailed
local
distributions
Niño3.4
SST
distributions.
regions
outside
Pacific
Indian
Ocean
basins,
bias
variability
plays
larger
role
bias.
This
contributes
better
fidelity
CMIP6
different
seasons
which
critical
making
skillful
projections
floods
droughts
warming
climate.
Microbial Genomics,
Journal Year:
2025,
Volume and Issue:
11(3)
Published: March 18, 2025
Marine
sediments
are
vast,
underexplored
habitats
and
represent
one
of
the
largest
carbon
deposits
on
our
planet.
Microbial
communities
drive
nutrient
cycling
in
these
sediments,
but
full
extent
their
taxonomic
metabolic
diversity
remains
to
be
explored.
Here,
we
analysed
shallow
coastal
deep
subseafloor
sediment
cores
from
0.01
nearly
600
metres
below
seafloor,
Western
Pacific
Region.
Applying
metagenomics,
identified
several
clusters
across
all
samples,
which
mainly
aligned
with
depth
type.
Inferring
functional
patterns
provided
insights
into
possible
ecological
roles
main
microbial
taxa.
These
included
Chloroflexota
,
most
abundant
phylum
whereby
classes
Dehalococcoida
Anaerolineae
dominated
deep-subsurface
respectively.
Thermoproteota
Asgardarchaeota
were
phyla
among
Archaea,
contributing
high
relative
abundances
Archaea
reaching
over
50%
some
samples.
We
recovered
high-quality
metagenome-assembled
genomes
for
prokaryotic
lineages
proposed
names
three
phyla,
i.e.
Tangaroaeota
phyl.
nov.
(former
RBG-13-66-14),
Ryujiniota
UBA6262)
Spongiamicota
UBA8248).
Metabolic
capabilities
samples
ranged
aerobic
respiration
photosynthesis
shallowest
layers
heterotrophic
utilization,
sulphate
reduction
methanogenesis
deeper
anoxic
sediments.
also
taxa
potential
involved
nitrogen
sulphur
utilization.
In
summary,
this
study
contributes
understanding
benthic
marine
Quarterly Journal of the Royal Meteorological Society,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 11, 2025
Abstract
Hailstorms
are
destructive
and
dangerous
phenomena
that
can
cause
large
losses,
motivating
better
understanding
of
their
occurrence.
As
climate
modes
variability
influence
temperature
moisture
hence
convective
instability,
they
offer
predictive
skill
for
hail
conditions.
Here,
we
examine
relationships
between
hail‐prone
days
across
Australia
the
El
Niño–Southern
Oscillation
(ENSO),
Indian
Ocean
Dipole
(IOD),
Southern
Annular
Mode
(SAM).
Hail‐prone
were
identified
using
a
proxy
applied
to
European
Centre
Medium‐Range
Weather
Forecasts
Reanalysis
v5
(ERA5)
data
from
1979
2022.
day
anomalies
correlated
with
strength‐of‐mode
indices.
Broad
areas
country's
interior
show
increased
during
La
Niña,
negative
IOD,
positive
SAM
in
spring.
The
relationship
IOD
is
significant
winter
Brisbane
some
extent
Sydney,
reversing
sign
summer.
Anomalies
increase
over
Western
Australia's
south
Niño
Our
work
highlights
potential
connections
conditions,
investigates
meteorological
factors
behind
observed
correlations,
helps
us
understand
annual
improve
seasonal
prediction.
Weather and Climate Extremes,
Journal Year:
2023,
Volume and Issue:
42, P. 100607 - 100607
Published: Sept. 5, 2023
Future
climate
change
is
projected
to
increase
the
frequency
and
severity
of
droughts
in
many
drought-prone
regions
world.
However,
coarsely-resolved
sometimes
opposing
rainfall
changes
across
global
models,
a
lack
understanding
weather-scale
processes
that
cause
begin
end,
create
uncertainties
around
these
future
regions.
Here,
we
reveal
co-occurrence
deep
low-pressure
system
over
southeast
Australia
with
an
adjacent
high-pressure
Tasman
Sea
key
dynamic
mechanism
responsible
for
extreme
drought-breaking
Australia.
Regional
models
project
decline
events
by
9%
every
degree
warming,
11.6%
per
associated
rainfall,
increasing
risk
region
entering
staying
drought
late
21st
century.
This
critical
dynamical
context
brings
confidence
duration
provides
opportunity
robustly
identify
parts
world
where
similar
mechanisms
may
also
play
role
extreme,
rainfall.