Spatial Regularities of Changes in the Duration of Low River Flows in Poland Under Climate Warming Conditions
Water,
Journal Year:
2025,
Volume and Issue:
17(2), P. 243 - 243
Published: Jan. 16, 2025
On
the
basis
of
daily
discharges
recorded
in
140
water
gauges
located
on
96
Polish
rivers,
long-term
changes
runoff
and
number
days
with
low
flows
(NDLF)
relation
to
selected
meteorological
variables
were
studied.
The
analyses
performed
for
entire
multi-annual
period
1951–2020
two
sub-periods:
1951–1988
1988–2020
that
are
before
after
climate
change.
average
values
these
hydro-meteorological
sub-periods
then
compared.
It
was
found
1988,
a
statistically
significant
(p
<
0.001)
increase
air
temperatures,
ranging
from
0.9
over
1.3
°C,
occurred.
Similarly,
determined
evaporation,
which
increased
by
about
10–25%.
Precipitation
did
not
show
such
changes—a
decrease
precipitation
(by
5%)
only
southern
part
Odra
River
basin,
most
stations,
insignificant
increases
recorded.
complex
took
place
river
runoff.
After
gauges,
5–15%
detected;
some
cases,
decreases
significant.
In
south-eastern
country,
primarily
catchments
right
tributaries
Vistula
River,
an
5–10%
detected.
However,
case
one
gauge,
tendencies
Next,
order
determine
spatial
regularities
NDLF,
cluster
analysis
method
used,
grouped
according
70
annual
NDLF.
This
resulted
separating
three
relatively
homogenous
territorially
groups
demonstrating
clear
regional
differentiation
concluded
separation
rivers
terms
different
NDLF
mainly
influenced
climatic
conditions.
Language: Английский
Doing better rather than promising more: A basic principle applicable to both climate modelling and climate policies
PLOS Climate,
Journal Year:
2025,
Volume and Issue:
4(1), P. e0000466 - e0000466
Published: Jan. 30, 2025
A
growing
number
of
scientists
are
expressing
concerns
about
the
inadequacy
climate
change
policies.
Fewer
questionning
dominant
modelling
paradigm
and
IPCC’s
success
to
prevent
humanity
from
venturing
unprepared
into
hitherto
unknown
territories.
However,
in
view
an
urgent
need
provide
readily
available
data
on
constraining
uncertainty
local
regional
impacts
next
few
years,
there
is
a
debate
most
suitable
path
inform
both
mitigation
adaptation
strategies.
Examples
given
how
common
statistical
methods
emerging
technologies
can
be
used
exploit
wealth
existing
knowledge
drive
policy.
Parsimonious
equitable
approaches
promoted
that
combine
various
lines
evidence,
including
model
diversity,
large
ensembles,
storylines,
novel
applied
well-calibrated,
global
regional,
Earth
System
simulations,
deliver
more
reliable
information.
As
examplified
by
Paris
agreement
desirable
warming
targets,
it
argued
display
unrealistic
ambitions
may
not
best
way
for
modellers
accomplish
their
long-term
objectives,
especially
consensus
emergency
allocated
short
time
delivered
applied.
Language: Английский
Projecting Daily Maximum Temperature Using an Enhanced Hybrid Downscaling Approach in Fujian Province, China
Pangpang Gao,
No information about this author
Ying Sun,
No information about this author
Zhihao Liu
No information about this author
et al.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(10), P. 4360 - 4360
Published: May 12, 2025
The
rise
in
global
temperatures
and
increased
extreme
weather
events,
such
as
heatwaves,
underscore
the
need
for
accurate
regional
projections
of
daily
maximum
temperature
(Tmax)
to
inform
effective
adaptation
strategies.
This
study
develops
CNN-BMA-QDM
model,
which
integrates
convolutional
neural
networks
(CNNs),
Bayesian
model
averaging
(BMA),
quantile
delta
mapping
(QDM)
downscale
project
Tmax
under
future
climate
scenarios.
stands
out
its
ability
capture
nonlinear
relationships
between
atmospheric
circulation
factors,
reduce
uncertainty,
correct
bias,
thus
improving
simulation
accuracy.
is
applied
Fujian
Province,
China,
using
three
CMIP6
GCMs
four
shared
socioeconomic
pathways
(SSPs)
from
2015
2100.
results
show
that
outperforms
CNN-BMA,
CNNs,
other
downscaling
methods
(e.g.,
RF,
BPNN,
SVM,
LS-SVM,
SDSM),
particularly
simulating
value
at
99%
95%
percentiles.
Projections
indicate
consistent
warming
trends
across
all
SSP
scenarios,
with
spatially
averaged
rates
0.0077
°C/year
SSP126,
0.0269
SSP245,
0.0412
SSP370,
0.0526
SSP585.
Coastal
areas
experience
most
significant
warming,
an
increase
4.62–5.73
°C
SSP585
by
2071–2100,
while
inland
regions
a
smaller
3.64–3.67
°C.
Monthly
December
sees
largest
(5.30
2071–2100),
July
experiences
smallest
(2.40
°C).
On
seasonal
scale,
winter
highest
reaching
4.88
SSP585,
whereas
summer
shows
more
modest
3.10
Notably,
greatest
discrepancy
south
north
occurs
during
summer.
These
findings
emphasize
importance
developing
tailored
strategies
based
on
spatial
variations.
provide
valuable
insights
policymakers
contribute
advancement
projection
research.
Language: Английский
Irreversible glacier change and trough water for centuries after overshooting 1.5 °C
Nature Climate Change,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 19, 2025
Abstract
Exceeding
1.5
°C
of
global
warming
above
pre-industrial
levels
has
become
a
distinct
possibility,
yet
the
consequences
such
an
overshoot
for
mountain
glaciers
and
their
contribution
to
raising
sea
impacting
water
availability
are
not
well
understood.
Here
we
show
that
exceeding
then
returning
below
will
have
irreversible
glacier
mass
runoff
over
centuries.
Global
climate
simulations
project
3.0
peak-and-decline
scenario
lead
11%
more
loss
by
2500
compared
with
limiting
without
overshooting.
In
basins
where
regrow
after
peak
temperature,
reduces
further
than
if
stabilize,
phenomenon
call
‘trough
water’.
Half
studied
glaciated
reduced
decades
centuries
warming.
These
findings
underscore
urgency
near-term
emissions
reductions
temperature
overshoot.
Language: Английский