Environmental Research Letters,
Journal Year:
2023,
Volume and Issue:
18(4), P. 044025 - 044025
Published: March 21, 2023
Abstract
Eastern
China
experienced
persistent
regional
extreme
heatwaves
in
the
summer
of
2022,
with
disparate
spatial
features
and
formation
mechanisms
different
months.
We
quantitatively
assessed
relative
contributions
three
oceans,
i.e.
tropical
Indian
Ocean
Pacific
North
Atlantic,
local
soil
moisture–temperature
feedback
using
linear
regression.
The
results
showed
that
monthly
mean
atmospheric
circulation
anomalies
failed
to
explain
heatwave
June
2022.
combined
contribution
Indo-Pacific
Atlantic
sea
surface
temperature
(SSTAs),
together
feedback,
explaining
approximately
10%
anomalies.
In
July,
SSTAs
promoted
anomalous
heat
via
meridional
originating
Maritime
Continent,
accounting
for
anomalies,
contributing
same
percentage
by
a
mid-latitude
steady
Rossby
wave.
Local
accounted
42%
produced
strong
western
anticyclone
August,
but
their
direct
was
negligible.
contributed
9%
total
66%,
suggesting
July
drought
exerted
significant
impact
on
subsequent
August
heatwave.
Global
warming
has
greatly
facilitated
heatwaves,
about
30%–40%
these
events
These
also
suggest
climatic
effects
are
evident
month-to-month
variation
summer.
Our
thus
contribute
understanding
prediction
China.
Biogeosciences,
Journal Year:
2020,
Volume and Issue:
17(6), P. 1655 - 1672
Published: March 27, 2020
In
recent
decades,
an
increasing
persistence
of
atmospheric
circulation
patterns
has
been
observed.
the
course
associated
long-lasting
anticyclonic
summer
circulations,
heatwaves
and
drought
spells
often
coincide,
leading
to
so-called
hotter
droughts.
Previous
droughts
caused
a
decrease
in
agricultural
yields
increase
tree
mortality.
Thus,
they
had
remarkable
effect
on
carbon
budgets
negative
economic
impacts.
Consequently,
quantification
ecosystem
responses
better
understanding
underlying
mechanisms
are
crucial.
this
context,
European
year
2018
may
be
considered
key
event.
As
first
step
towards
its
causes
consequences,
we
here
assess
anomalies
patterns,
maximum
temperature,
climatic
water
balance
as
potential
drivers
which
quantified
by
remote
sensing
using
MODIS
vegetation
indices
(VIs)
normalized
difference
index
(NDVI)
enhanced
(EVI).
To
place
within
climatological
compare
features
remotely
sensed
response
with
extreme
hot
2003.
The
was
characterized
dipole,
featuring
extremely
dry
weather
conditions
north
Alps
but
comparably
cool
moist
across
large
parts
Mediterranean.
Analysing
five
dominant
land
cover
classes,
found
significant
positive
effects
VI
response.
Negative
impacts
appeared
affect
area
1.5
times
larger
significantly
stronger
July
compared
August
2003,
i.e.
at
respective
peak
drought.
Moreover,
higher
sensitivity
pastures
arable
forests
both
years.
We
explain
coupling
prevailing
dipole:
while
generally
water-limited
ecosystems
Mediterranean
experienced
above-average
balance,
less
drought-adapted
central
northern
Europe
record
conclusion,
study
quantifies
yet
unprecedented
event,
outlines
hotspots
drought-impacted
areas
should
given
particular
attention
follow-up
studies,
provides
valuable
insights
into
heterogeneous
Environmental Research Letters,
Journal Year:
2019,
Volume and Issue:
14(12), P. 124007 - 124007
Published: Nov. 22, 2019
Climate
change
challenges
societal
functioning,
likely
requiring
considerable
adaptation
to
cope
with
future
altered
weather
patterns.
Machine
learning
(ML)
algorithms
have
advanced
dramatically,
triggering
breakthroughs
in
other
research
sectors,
and
recently
suggested
as
aiding
climate
analysis
(Reichstein
et
al
2019
Nature
566
195–204,
Schneider
2017
Geophys.
Res.
Lett.
44
12396–417).
Although
a
number
of
isolated
Earth
System
features
been
analysed
ML
techniques,
more
generic
application
understand
better
the
full
system
has
not
occurred.
For
instance,
may
aid
teleconnection
identification,
where
complex
feedbacks
make
characterisation
difficult
from
direct
equation
or
visualisation
measurements
model
(ESM)
diagnostics.
Artificial
intelligence
(AI)
can
then
build
on
discovered
connections
provide
enhanced
warnings
approaching
features,
including
extreme
events.
While
ESM
development
is
paramount
importance,
we
suggest
parallel
emphasis
utilising
AI
capitalise
far
existing
data
simulations.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2020,
Volume and Issue:
375(1810), P. 20190510 - 20190510
Published: Sept. 6, 2020
Extreme
weather
increases
the
risk
of
large-scale
crop
failure.
The
mechanisms
involved
are
complex
and
intertwined,
hence
undermining
identification
simple
adaptation
levers
to
help
improve
resilience
agricultural
production.
Based
on
more
than
82
000
yield
data
reported
at
regional
level
in
17
European
countries,
we
assess
how
climate
affected
yields
nine
species.
Using
machine
learning
models,
analyzed
historical
since
1901
then
focus
2018,
which
has
experienced
a
multiplicity
diversity
atypical
extreme
climatic
conditions.
Machine
models
explain
up
65%
anomalies.
We
find
that
both
extremes
temperature
precipitation
associated
with
negative
anomalies,
but
varying
impacts
different
parts
Europe.
In
Northern
Eastern
Europe
multiple
simultaneous
failures-among
highest
observed
recent
decades.
These
losses
were
extremely
low
rainfalls
combination
high
temperatures
between
March
August
2018.
However,
higher
usual
recorded
Southern
Europe-caused
by
favourable
spring
rainfall
conditions-nearly
offset
large
decrease
Our
results
outline
importance
considering
single
compound
analyse
causes
found
no
clear
upward
or
downward
trend
frequency
for
any
considered
crops
1990
This
article
is
part
theme
issue
'Impacts
2018
severe
drought
heatwave
Europe:
from
site
continental
scale'.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: July 4, 2022
Persistent
heat
extremes
can
have
severe
impacts
on
ecosystems
and
societies,
including
excess
mortality,
wildfires,
harvest
failures.
Here
we
identify
Europe
as
a
heatwave
hotspot,
exhibiting
upward
trends
that
are
three-to-four
times
faster
compared
to
the
rest
of
northern
midlatitudes
over
past
42
years.
This
accelerated
trend
is
linked
atmospheric
dynamical
changes
via
an
increase
in
frequency
persistence
double
jet
stream
states
Eurasia.
We
find
occurrences
particularly
important
for
western
European
heatwaves,
explaining
up
35%
temperature
variability.
The
events
explains
almost
all
Europe,
about
30%
it
extended
region.
Those
findings
provide
evidence
addition
thermodynamical
drivers,
contributed
increased
rate
with
implications
risk
management
potential
adaptation
strategies.
Earth s Future,
Journal Year:
2020,
Volume and Issue:
8(3)
Published: Jan. 6, 2020
Abstract
In
recent
decades,
a
striking
number
of
countries
have
suffered
from
consecutive
disasters:
events
whose
impacts
overlap
both
spatially
and
temporally,
while
recovery
is
still
under
way.
The
risk
disasters
will
increase
due
to
growing
exposure,
the
interconnectedness
human
society,
increased
frequency
intensity
nontectonic
hazard.
This
paper
provides
an
overview
different
types
disasters,
their
causes,
impacts.
can
be
distinctly
occurring
in
isolation
(both
temporally)
other
noting
that
full
never
occurs.
We
use
existing
empirical
disaster
databases
show
global
probabilistic
occurrence
for
selected
hazard
types.
Current
state‐of‐the
art
assessment
models
outputs
do
not
allow
thorough
representation
analysis
disasters.
mainly
many
challenges
are
introduced
by
addressing
combining
hazards
nature,
accounting
interactions
dynamics.
Disaster
management
needs
more
holistic
codesigned
between
researchers,
policy
makers,
first
responders,
companies.
Earth s Future,
Journal Year:
2019,
Volume and Issue:
7(7), P. 692 - 703
Published: June 7, 2019
Extremely
high
temperatures
pose
an
immediate
threat
to
humans
and
ecosystems.
In
recent
years,
many
regions
on
land
in
the
ocean
experienced
heat
waves
with
devastating
impacts
that
would
have
been
highly
unlikely
without
human-induced
climate
change.
Impacts
are
particularly
severe
when
occur
exposure
of
people
or
crops.
The
2018
spring-to-summer
season
was
characterized
by
several
major
dry
extremes.
On
daily
average
between
May
July
about
22%
populated
agricultural
areas
north
30°
latitude
concurrent
hot
temperature
Events
this
type
were
unprecedented
prior
2010,
while
similar
conditions
2010
2012
boreal
summers.
Earth
System
Model
simulations
present-day
climate,
is,
at
around
+1
°C
global
warming,
also
display
increase
Based
simulations,
we
show
it
is
virtually
certain
(using
Intergovernmental
Panel
Climate
Change
calibrated
uncertainty
language)
hemispheric
events
not
occurred
Our
results
further
reveal
high-exposure
area
projected
experience
warm
spells
Northern
Hemisphere
increases
16%
per
additional
warming.
A
strong
reduction
fossil
fuel
emissions
paramount
reduce
risks
global-scale
wave
impacts.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2020,
Volume and Issue:
375(1794), P. 20190105 - 20190105
Published: Jan. 27, 2020
Ecologists
have
long
studied
patterns,
directions
and
tempos
of
change,
but
there
is
a
pressing
need
to
extend
current
understanding
empirical
observations
abrupt
changes
as
climate
warming
accelerates.
Abrupt
in
ecological
systems
(ACES)-changes
that
are
fast
time
or
relative
their
drivers-are
ubiquitous
increasing
frequency.
Powerful
theoretical
frameworks
exist,
yet
applications
real-world
landscapes
detect,
explain
anticipate
ACES
lagged.
We
highlight
five
insights
emerging
from
studies
across
diverse
ecosystems:
(i)
show
some
dimensions
not
others;
(ii)
extremes
may
be
more
important
than
mean
generating
ACES;
(iii)
interactions
among
multiple
drivers
often
produce
(iv)
contingencies,
such
memory,
frequency
sequence
disturbances,
spatial
context
important;
(v)
tipping
points
(but
always)
associated
with
ACES.
suggest
research
priorities
advance
the
face
change.
Progress
requires
strong
integration
scientific
approaches
(theory,
observations,
experiments
process-based
models)
high-quality
data
drawn
array
ecosystems.
This
article
part
theme
issue
'Climate
change
threats,
opportunities
solutions'.