Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(6)
Published: Jan. 30, 2023
Leveraging
artificial
neural
networks
(ANNs)
trained
on
climate
model
output,
we
use
the
spatial
pattern
of
historical
temperature
observations
to
predict
time
until
critical
global
warming
thresholds
are
reached.
Although
no
used
during
training,
validation,
or
testing,
ANNs
accurately
timing
from
maps
annual
temperature.
The
central
estimate
for
1.5
°C
threshold
is
between
2033
and
2035,
including
a
±1σ
range
2028
2039
in
Intermediate
(SSP2-4.5)
forcing
scenario,
consistent
with
previous
assessments.
However,
our
data-driven
approach
also
suggests
substantial
probability
exceeding
2
even
Low
(SSP1-2.6)
scenario.
While
there
limitations
approach,
results
suggest
higher
likelihood
reaching
scenario
than
indicated
some
assessments—though
possibility
that
could
be
avoided
not
ruled
out.
Explainable
AI
methods
reveal
focus
particular
geographic
regions
Our
framework
provides
unique,
quantifying
signal
change
constraining
uncertainty
projections.
Given
existing
evidence
accelerating
risks
natural
human
systems
at
°C,
provide
further
high-impact
over
next
three
decades.
Abstract
In
recent
decades,
the
warming
in
Arctic
has
been
much
faster
than
rest
of
world,
a
phenomenon
known
as
amplification.
Numerous
studies
report
that
is
either
twice,
more
or
even
three
times
fast
globe
on
average.
Here
we
show,
by
using
several
observational
datasets
which
cover
region,
during
last
43
years
nearly
four
globe,
higher
ratio
generally
reported
literature.
We
compared
observed
amplification
with
simulated
state-of-the-art
climate
models,
and
found
four-fold
over
1979–2021
an
extremely
rare
occasion
model
simulations.
The
ratios
are
consistent
each
other
if
calculated
longer
period;
however
comparison
obscured
uncertainties
before
1979.
Our
results
indicate
unlikely
event,
models
systematically
tend
to
underestimate
Geoscientific model development,
Journal Year:
2019,
Volume and Issue:
12(4), P. 1573 - 1600
Published: April 24, 2019
Abstract.
The
main
advancements
of
the
Beijing
Climate
Center
(BCC)
climate
system
model
from
phase
5
Coupled
Model
Intercomparison
Project
(CMIP5)
to
6
(CMIP6)
are
presented,
in
terms
physical
parameterizations
and
performance.
BCC-CSM1.1
BCC-CSM1.1m
two
models
involved
CMIP5,
whereas
BCC-CSM2-MR,
BCC-CSM2-HR,
BCC-ESM1.0
three
configured
for
CMIP6.
Historical
simulations
1851
2014
BCC-CSM2-MR
2005
used
assessment.
evaluation
matrices
include
following:
(a)
energy
budget
at
top-of-atmosphere;
(b)
surface
air
temperature,
precipitation,
atmospheric
circulation
global
East
Asia
regions;
(c)
sea
temperature
(SST)
tropical
Pacific;
(d)
sea-ice
extent
thickness
Atlantic
Meridional
Overturning
Circulation
(AMOC);
(e)
variations
different
timescales,
such
as
warming
trend
20th
century,
stratospheric
quasi-biennial
oscillation
(QBO),
Madden–Julian
Oscillation
(MJO),
diurnal
cycle
precipitation.
Compared
with
BCC-CSM1.1m,
shows
significant
improvements
many
aspects
including
tropospheric
regional
scales
variability
QBO,
MJO,
interannual
SST
equatorial
Pacific,
long-term
temperature.
Nature Medicine,
Journal Year:
2023,
Volume and Issue:
29(7), P. 1857 - 1866
Published: July 1, 2023
Abstract
Over
70,000
excess
deaths
occurred
in
Europe
during
the
summer
of
2003.
The
resulting
societal
awareness
led
to
design
and
implementation
adaptation
strategies
protect
at-risk
populations.
We
aimed
quantify
heat-related
mortality
burden
2022,
hottest
season
on
record
Europe.
analyzed
Eurostat
database,
which
includes
45,184,044
counts
death
from
823
contiguous
regions
35
European
countries,
representing
whole
population
over
543
million
people.
estimated
61,672
(95%
confidence
interval
(CI)
=
37,643–86,807)
between
30
May
4
September
2022.
Italy
(18,010
deaths;
95%
CI
13,793–22,225),
Spain
(11,324;
7,908–14,880)
Germany
(8,173;
5,374–11,018)
had
highest
numbers,
while
(295
per
million,
226–364),
Greece
(280,
201–355),
(237,
166–312)
Portugal
(211,
162–255)
rates.
Relative
population,
we
56%
more
women
than
men,
with
higher
rates
men
aged
0–64
(+41%)
65–79
(+14%)
years,
80+
years
(+27%).
Our
results
call
for
a
reevaluation
strengthening
existing
heat
surveillance
platforms,
prevention
plans
long-term
strategies.
Reviews of Geophysics,
Journal Year:
2017,
Volume and Issue:
55(4), P. 1079 - 1129
Published: Nov. 14, 2017
Abstract
The
year
2015
was
special
for
climate
scientists,
particularly
the
El
Niño
Southern
Oscillation
(ENSO)
research
community,
as
a
major
finally
materialized
after
long
pause
since
1997/1998
extreme
Niño.
It
scientifically
exciting
since,
due
to
short
observational
record,
our
knowledge
of
an
has
been
based
only
on
1982/1983
and
events.
2015/2016
marked
by
many
environmental
disasters
that
are
consistent
with
what
is
expected
Considering
dramatic
impacts
Niño,
risk
potential
increase
in
frequency
ENSO
extremes
under
greenhouse
warming,
it
timely
evaluate
how
recent
event
fits
into
understanding
extremes.
Here
we
provide
review
ENSO,
its
nature
dynamics,
through
analysis
various
observed
key
variables,
outline
processes
characterize
brings
useful
perspective
state
these
events
highlights
areas
future
research.
While
characteristically
distinct
from
events,
still
can
be
considered
first
21st
century.
Its
extremity
attributed
part
unusually
warm
condition
2014
long‐term
background
warming.
In
effect,
this
study
provides
list
physically
meaningful
indices
straightforward
compute
identifying
tracking
observations
models.
Reviews of Geophysics,
Journal Year:
2018,
Volume and Issue:
56(1), P. 185 - 206
Published: Jan. 15, 2018
Abstract
El
Niño
and
Southern
Oscillation
(ENSO)
is
the
most
prominent
year‐to‐year
climate
fluctuation
on
Earth,
alternating
between
anomalously
warm
(El
Niño)
cold
(La
Niña)
sea
surface
temperature
(SST)
conditions
in
tropical
Pacific.
ENSO
exerts
its
impacts
remote
regions
of
globe
through
atmospheric
teleconnections,
affecting
extreme
weather
events
worldwide.
However,
these
teleconnections
are
inherently
nonlinear
sensitive
to
SST
anomaly
patterns
amplitudes.
In
addition,
modulated
by
variability
oceanic
atmopsheric
mean
state
outside
tropics
land
ice
extent.
The
character
as
well
ocean
have
changed
since
1990s,
which
might
be
due
either
natural
or
anthropogenic
forcing,
their
combined
influences.
This
has
resulted
changes
terms
precipitation
various
parts
globe.
teleconnection
affected
predictability
statistics
events.
short
observational
record
does
not
allow
us
clearly
distinguish
robust
not.
Climate
models
suggest
that
will
change
because
circulation
forcing
21st
century,
independent
whether
properties
future
do
currently
show
strong
intermodel
agreement
from
region
region,
highlighting
importance
identifying
factors
affect
uncertainty
model
projections.
Proceedings of the National Academy of Sciences,
Journal Year:
2018,
Volume and Issue:
115(20), P. 5211 - 5216
Published: April 16, 2018
Phenological
responses
to
climate
change
(e.g.,
earlier
leaf-out
or
egg
hatch
date)
are
now
well
documented
and
clearly
linked
rising
temperatures
in
recent
decades.
Such
shifts
the
phenologies
of
interacting
species
may
lead
their
synchrony,
with
cascading
community
ecosystem
consequences.
To
date,
single-system
studies
have
provided
no
clear
picture,
either
finding
synchrony
be
extremely
prevalent
[Mayor
SJ,
et
al.
(2017)
Energy & Environmental Science,
Journal Year:
2021,
Volume and Issue:
14(8), P. 4268 - 4291
Published: Jan. 1, 2021
This
review
highlights
the
broad
and
critical
role
of
latent
heat
storage
in
sustainable
energy
systems
including
solar-thermal
storage,
electro-thermal
waste
thermal
regulations.