Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(5), P. 523 - 523
Published: April 25, 2024
Naples
is
the
most
densely
populated
Italian
city
(7744
inhabitants
per
km2).
It
located
in
a
particular
geological
context:
presence
of
Mt
Vesuvius
characterizes
eastern
part,
and
western
part
characterized
by
Phlegrean
Fields,
making
high-geothermal-gradient
region.
This
endogenous
heat,
combined
with
anthropogenic
heat
due
to
intense
urbanization,
has
defined
as
an
ideal
location
for
Surface
Urban
Heat
Island
(SUHI)
analysis.
SUHI
analysis
was
effectuated
acquiring
Land
Temperature
(LST)
over
municipality
processing
Landsat
8
(L8)
Thermal
Infrared
Sensor
(TIRS)
images
2013–2023
time
series
employing
Google
Earth
Engine
(GEE).
In
GEE,
two
different
approaches
have
been
followed
analyze
thermal
images,
starting
from
Statistical
Mono
Window
(SMW)
algorithm,
which
computes
LST
based
on
brightness
temperature
(Tb),
emissivity
value,
atmospheric
correction
coefficients.
The
first
one
used
retrieval
daytime
images;
here,
component
derived
using,
firstly,
Normalized
Difference
Vegetation
Index
(NDVI)
then
Cover
Method
(VCM),
defining
Emissivity
(LSɛ),
considers
solar
radiation
main
source
energy.
second
approach
nighttime
where
directly
estimated
Advance
Spaceborne
Emission
Radiometer
database
(ASTER-GED),
as,
during
without
radiation,
energy
emitted
Earth’s
surface.
From
these
algorithms,
123
usable
were
downloaded
GEE
analyzed
Quantum
GIS
(QGIS).
results
show
that
more
concentrated
shown
Corine
(CLC).
At
same
time,
lower
intensity
detected
(LC)
vegetated
class.
Also,
analysis,
we
highlighted
40
spots
(10
hotspots
10
coldspots,
both
collection)
present
positive
or
negative
peaks
all
series.
Due
huge
amount
data,
this
work
considered
only
five
representative
determination
anomalies
urban
environment.
Environmental Research Letters,
Journal Year:
2025,
Volume and Issue:
20(2), P. 024037 - 024037
Published: Jan. 28, 2025
Abstract
Global
mean
sea
surface
temperature
(GMSST)
is
a
fundamental
diagnostic
of
ongoing
climate
change,
yet
there
incomplete
understanding
multi-decadal
changes
in
warming
rate
and
year-to-year
variability.
Exploiting
satellite
observations
since
1985
statistical
model
incorporating
drivers
variability
we
identify
an
increasing
rise
GMSST.
This
accelerating
ocean
physically
linked
to
upward
trend
Earth’s
energy
imbalance
(EEI).
We
quantify
that
GMSST
has
increased
by
0.54
±
0.07
K
for
each
GJ
m
–2
accumulated
energy,
equivalent
0.17
±
0.02
decade
‒1
(W
‒2
)
.
Using
the
isolate
from
interannual
variability,
underlying
change
rises
proportion
with
accumulation
0.06
–1
during
1985–89
0.27
2019–23.
While
associated
El
Niño
Southern
Oscillation
triggered
exceptionally
high
GMSSTs
2023
early
2024,
44%
(90%
confidence
interval:
35%–52%)
+0.22
difference
between
peak
2023/24
event
2015/16
unexplained
unless
acceleration
accounted
for.
Applying
indicative
future
scenarios
EEI
based
on
recent
trends,
increases
are
likely
be
faster
than
would
expected
linear
extrapolation
past
four
decades.
Our
results
provide
observational
evidence
increase
inferred
over
40
years
will
exceeded
within
next
20
years.
Policy
makers
wider
society
should
aware
global
decades
poor
guide
come,
underscoring
urgency
deep
reductions
fossil-fuel
burning.
Geophysical Research Letters,
Journal Year:
2025,
Volume and Issue:
52(8)
Published: April 23, 2025
Abstract
The
quantification
of
aerosol‐induced
radiative
forcing
and
cloud
feedbacks
remains
a
significant
challenge
in
climate
modeling,
primarily
due
to
the
complex
interplay
aerosol
clouds
warming
world.
Traditional
approaches
often
rely
on
either
bottom‐up
process‐based
models,
difficult
constrain
against
present‐day
observations,
or
top‐down
methods
that
lack
ability
capture
underlying
processes
accurately.
Here,
we
present
an
approach
combines
both
constraints
energetic
simultaneously
achieve
more
comprehensive
understanding
impacts
climate.
Applying
new
method
Community
Atmosphere
Model
v6,
infer
narrower
parameter
ranges
for
key
process
parameters,
reduced
effective
−1.08
[−1.29–−0.77]
Wm
−2
,
hence
66%
precise
future
projections.
Environmetrics,
Journal Year:
2025,
Volume and Issue:
36(4)
Published: May 1, 2025
ABSTRACT
While
many
studies
on
climate
have
focused
location
shifts,
none
specifically
tested
whether
lower
or
upper
tails
of
the
data
generating
process
structurally
changed
over
time.
This
manuscript
applies
a
new
test
that
can
detect
either
distributional
tail
structural
change
to
various
annual
and
daily
U.S.
measures.
Notably,
we
find
both
and,
quite
interestingly,
tend
observe
greater
evidence
in
one
versus
other
for
most
We
also
presence
multiple
breaks.
Our
results
imply
modeling,
climate‐crop
yield
should
account
significant
asymmetric
changes
distributions
not
only
shifts.
Abstract.
We
review
how
the
international
modelling
community,
encompassing
Integrated
Assessment
models,
global
and
regional
Earth
system
climate
impact
have
worked
together
over
past
few
decades,
to
advance
understanding
of
change
its
impacts
on
society
environment,
support
policy.
then
recommend
a
number
priority
research
areas
for
coming
~6
years
(i.e.
until
~2030),
timescale
that
matches
newly
starting
activities
encompasses
IPCC
7th
Report
(AR7)
2nd
UNFCCC
Global
Stocktake.
Progress
in
these
will
significantly
our
increase
quality
utility
science
emphasize
need
continued
improvement
of,
ability
simulate,
coupled
change.
There
is
an
urgent
investigate
plausible
pathways
emission
scenarios
realize
Paris
Climate
Targets,
including
overshoot
1.5
°C
2
targets,
before
later
returning
them.
System
models
(ESMs)
be
capable
thoroughly
assessing
such
warming
overshoots,
particular,
efficacy
negative
CO2
actions
reducing
atmospheric
driving
cooling.
An
improved
assessment
long-term
consequences
stabilizing
at
or
above
pre-industrial
temperatures
also
required.
ESMs
run
CO2-emission
mode,
more
fully
represent
-
carbon
cycle
feedbacks.
Regional
downscaling
should
use
forcing
data
from
simulations,
so
projections
are
as
realistic
possible.
accurate
simulation
observed
record
remains
key
requirement
does
metrics,
Effective
Sensitivity.
For
adaptation,
guidance
potential
changes
extremes
modes
variability
develop
in,
demand.
Such
improvements
most
likely
realized
through
combination
increased
model
resolution
parameterizations.
propose
deeper
collaboration
across
efforts
targeting
process
realism
coupling,
enhanced
resolution,
parameterization
improvement,
data-driven
Machine
Learning
methods.
With
respect
sampling
future
uncertainty,
between
approaches
large
ensembles
those
focussed
statistical
emulation
attention
paid
High
Impact
Low
Likelihood
(HILL)
outcomes.
In
risk
exceeding
critical
tipping
points
during
overshoot.
comprehensive
change,
arising
directly
specific
mitigation
actions,
it
important
detailed,
disaggregated
information
Models
(IAMs)
used
generate
available
models.
Conversely,
methods
developed
incorporate
societal
responses
into
scenario
development.
Finally,
new
data,
scientific
advances,
proposed
this
article
not
possible
without
development
maintenance
robust,
globally
connected
infrastructure
ecosystem.
This
must
easily
accessible
useable
all
communities
world,
allowing
community
engaged
developing
delivering
knowledge
Abstract.
Intergovernmental
Panel
on
Climate
Change
(IPCC)
assessments
are
the
trusted
source
of
scientific
evidence
for
climate
negotiations
taking
place
under
United
Nations
Framework
Convention
(UNFCCC).
Evidence-based
decision-making
needs
to
be
informed
by
up-to-date
and
timely
information
key
indicators
state
system
human
influence
global
system.
However,
successive
IPCC
reports
published
at
intervals
5–10
years,
creating
potential
an
gap
between
report
cycles.
We
follow
methods
as
close
possible
those
used
in
Sixth
Assessment
Report
(AR6)
Working
Group
One
(WGI)
report.
compile
monitoring
datasets
produce
estimates
related
forcing
system:
emissions
greenhouse
gases
short-lived
forcers,
gas
concentrations,
radiative
forcing,
Earth's
energy
imbalance,
surface
temperature
changes,
warming
attributed
activities,
remaining
carbon
budget,
extremes.
The
purpose
this
effort,
grounded
open
data,
science
approach,
is
make
annually
updated
reliable
available
public
domain
(https://doi.org/10.5281/zenodo.11064126,
Smith
et
al.,
2024a).
As
they
traceable
methods,
can
all
parties
involved
UNFCCC
help
convey
wider
understanding
latest
knowledge
its
direction
travel.
show
that,
2014–2023
decade
average,
observed
was
1.19
[1.06
1.30]
°C,
which
[1.0
1.4]
°C
human-induced.
For
single
year
human-induced
reached
1.31
[1.1
1.7]
2023
relative
1850–1900.
This
below
record
1.43
[1.32
1.53]
indicating
a
substantial
contribution
internal
variability
record.
Human-induced
has
been
increasing
rate
that
unprecedented
instrumental
record,
reaching
0.26
[0.2–0.4]
per
over
2014–2023.
high
caused
combination
being
all-time
54
±
5.4
GtCO2e
last
decade,
well
reductions
strength
aerosol
cooling.
Despite
this,
there
increase
CO2
slowed
compared
2000s,
depending
societal
choices,
continued
series
these
annual
updates
critical
2020s
could
track
change
some
presented
here.
Journal of Applied Genetics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 2, 2024
Europe
is
highly
dependent
on
soybean
meal
imports
and
anticipates
an
increase
of
domestic
plant
protein
production.
Ongoing
climate
change
resulted
in
northward
shift
hardiness
zones,
enabling
spring-sowing
freezing-sensitive
crops,
including
soybean.
However,
it
requires
efficient
reselection
germplasm
adapted
to
relatively
short
growing
season
long-day
photoperiod.
In
the
present
study,
a
PCR
array
has
been
implemented,
targeting
early
maturity
(E1-E4,
E7,
E9,
E10),
pod
shattering
(qPHD1),
growth
determination
(Dt1)
genes.
This
was
optimized
for
routine
screening
diversity
panel
(204
accessions),
subjected
2018-2020
survey
phenology,
morphology,
yield-related
traits
potential
cultivation
region
Poland.
High
broad-sense
heritability
(0.84-0.88)
observed
height,
thousand
grain
weight,
date,
first
height.
Significant
positive
correlations
were
identified
between
number
seeds
pods
per
plant,
these
two
seed
yield
as
well
flowering,
maturity,
genotyping
revealed
high
genetic
diversity,
yielding
98
allelic
combinations.
The
most
remarkable
flowering
E7
or
E1,
E4
height
Dt1
E4.
study
demonstrated
applicability
this
molecular
selection
towards
adaptation
Central
Europe,
designating
recessive
qPHD1
dominant
Dt1,
E3,
alleles
major
targets
align
requirements
with
length
frost-free
period,
improve
performance,
yield.
Abstract.
Anthropogenic
aerosols
exert
a
cooling
influence
that
offsets
part
of
the
greenhouse
gas
warming.
Due
to
their
short
tropospheric
lifetime
only
up
several
days,
aerosol
forcing
responds
quickly
emissions.
Here
we
present
and
discuss
evolution
since
2000.
There
are
multiple
lines
evidence
allow
robustly
conclude
anthropogenic
effective
radiative
–
both
aerosol-radiation
aerosol-cloud
interactions
has
become
globally
less
negative,
i.e.
trend
in
changed
sign
from
negative
positive.
Bottom-up
inventories
show
primary
precursor
emissions
declined
most
regions
world;
observations
related
burden
declining
trends,
particular
fine-mode
particles
make
aerosols;
satellite
retrievals
cloud
droplet
numbers
trends
consistent
sign,
as
do
top-of-atmosphere
radiation.
Climate
model
results,
including
revised
set
is
constrained
by
ocean
heat
content
magnitude
for
positive
relative
2000
due
reduced
effects.
This
reduction
leads
an
acceleration
climate
change,
increase
0.1
0.3
W
m-2,
12
%
total
2019
compared
1750
according
IPCC.
Advances in Climate Change Research,
Journal Year:
2024,
Volume and Issue:
15(4), P. 737 - 750
Published: May 23, 2024
Non-methane
short-lived
climate
forcer
(SLCF)
or
near-term
(NTCF)
emissions,
as
a
significant
driver
of
change,
can
be
reduced
to
improve
air
quality.
These
reductions
may
contribute
additional
warming
the
system
in
short
term,
thereby
strongly
affecting
likelihood
extremes.
However,
there
has
been
no
quantitative
assessment
impact
non-methane
SLCF
mitigation
on
compound
flood–heatwave
extremes
(CFHEs).
This
study
quantitatively
investigates
changes
future
(2031–2050
versus
1995–2014)
CFHEs
and
resulting
population
exposure
Northern
Hemisphere
(NH)
due
reductions.
We
used
multi-model
ensemble
simulations
under
two
scenarios
from
Aerosol
Chemistry
Model
Intercomparison
Project
(AerChemMIP)
Coupled
Phase
6
(CMIP6).
The
share
same
greenhouse
gas
(GHG)
emissions
but
have
weak
(Shared
Socioeconomic
Pathway
(SSP)
3-7.0)
strong
(SSP3-7.0-lowNTCF)
levels
quality
control
measures.
results
show
that
during
2031–2050
about
7.3%
±
2.3%
increase
grid
NH
relative
period
1995–2014.
frequency,
intensity,
duration
by
varying
degrees.
During
2031–2050,
frequency
across
increases
2.9
0.9
events
per
decade
CFHE
are
more
pronounced
East
Asia,
South
Siberia,
northern
eastern
North
America.
In
intensities
both
heatwaves
floods
corresponding
markedly,
where
heatwave
magnitude
(HWM)
0.3
0.2
Asia
weighted
average
precipitation
(WAP)
18.3%
15.3%
12.0%
4.5%
respectively.
other
regions,
rising
temperatures
dominate
CFHEs.
With
regard
CFHEs,
SLCFs
0.1
d.
Regionally,
sensitivity
global
caused
is
1.2–1.9
times
higher
than
GHG
forcing.
NH-averaged
(5.0
2.0)
×
105
person
event
2031–2050.
emphasizes
importance
considering
impacts
cleaner
responses
societal
planning.