Atmospheric Research,
Journal Year:
2023,
Volume and Issue:
295, P. 107033 - 107033
Published: Sept. 25, 2023
As
one
of
the
largest
arid
and
semiarid
regions,
Central
Asia
(CA)
is
prone
to
drought,
which
imposes
significant
impacts
on
human
communities
ecosystems.
Understanding
historical
future
wetting/drying
trend
with
backdrop
climate
change
paramount
sustainable
development
in
CA.
However,
previous
studies
for
period
yielded
inconsistent
results
due
different
data,
study
durations
methods
used
those
are
rare.
By
analyzing
latest
generated
long-term
(1894–2020)
homogenized
station
observations,
multiple
global
model
(GCM)
outputs
their
dynamically
statistically
downscaled
results,
we
find
robust
drying
CA,
especially
growing
season
(April–September).
Though
there
an
increasing
tendency
regional
precipitation
during
1894–2020
Standard
Precipitation
Evapotranspiration
Index
(SPEI)
shows
a
decreasing
dominating
influence
warming.
Compared
non-growing
(October–March),
SPEI
more
profound
season.
Moreover,
calculated
based
GCM
consistently
CA
throughout
21st
century,
robustly
holds
against
approaches
calculate
potential
evapotranspiration
(i.e.,
Thornthwaite
Penman-Monteith
equations).
Besides
SPEI,
simulated
soil
moisture
surface
layer
also
exhibits
tendency.
All
these
lines
evidence
suggest
trends
have
important
implications
adaptation
this
region.
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
144, P. 109463 - 109463
Published: Sept. 19, 2022
Identifying
vegetation
changes
and
the
associated
driving
forces
provides
a
valuable
reference
for
developing
ecological
restoration
strategies.
However,
it
remains
challenge
to
disentangle
impacts
of
climate,
vegetation,
human
interference
on
changes.
In
this
study,
temporal
variations
Normalized
Difference
Vegetation
Index
(NDVI)
during
2000–2015
in
space
were
used
identify
greening
(restoration)
browning
(degradation)
areas
southwest
China.
The
Random
Forest
(RF)
approach
was
applied
distinguish
main
areas.
Results
showed
that
RF
can
be
effectively
learn
complex
non–linear
interactions
between
change,
local
interferences.
prominent
85.90
%
study
area,
while
5.59
area
still
experienced
significant
degradation.
Population
pressure
an
important
factor
alter
sign
long-term
trends.
trends
are
mainly
observed
high
elevation
with
low
population
density
(e.g.,
lower
than
180
people/km2
altitude
above
1000
m),
which
attributed
both
artificial
reforestation
measures
climate
warming.
contrast,
trend
concentrated
temporally
intensified
due
urbanization
(over
people/km2)
increased
rate
20
per
year).
results
strengthen
our
understanding
convolutions
among
activities,
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: April 26, 2023
Abstract
We
investigate
the
contribution
of
anthropogenic
forcing
to
extreme
temperature
and
precipitation
events
in
Central
Asia
(CA)
during
last
60
years.
bias-adjust
downscale
two
Inter-Sectoral
Impact
Model
Intercomparison
Project
(ISIMIP)
ensemble
outputs,
with
natural
(labelled
as
hist-nat
,
driven
only
by
solar
volcanic
forcing)
plus
hist
all-forcings),
$$0.25^{\circ
}
\times
0.25
^{\circ
}$$
0.25∘×
spatial
resolution.
Each
contains
six
models
from
ISIMIP,
based
on
Coupled
Inter-comparison
phase
6
(CMIP6).
The
presented
downscaling
methodology
is
necessary
create
a
reliable
climate
state
for
regional
impact
studies.
Our
analysis
shows
higher
risk
heat
(factor
4
signal-to-noise
ratio)
over
large
parts
CA
due
influence.
Furthermore,
likelihood
CA,
especially
Kyrgyzstan
Tajikistan,
can
be
attributed
(over
100
$$\%$$
%
changes
intensity
20
frequency).
Given
that
these
regions
show
high
rainfall-triggered
landslides
floods
historical
times,
we
report
human-induced
warming
contribute
vulnerable
areas
CA.
high-resolution
data
set
used
studies
focusing
attribution
freely
available
scientific
community.
Materials,
Journal Year:
2025,
Volume and Issue:
18(2), P. 379 - 379
Published: Jan. 15, 2025
Extracting
water
directly
from
the
atmosphere
seems
to
be
a
perfect
way
solve
scarcity
facing
2
billion
people;
however,
traditional
Atmospheric
Water
Harvesting
(AWH)
lacks
ability
adsorb
molecules
in
an
arid
climate.
Porous
materials
are
capable
of
assisting
adsorption;
currently,
only
certain
customizable
Metal-Organic
Frameworks
(MOFs)
able
meet
standard
adsorbing
at
low
humidity
and
releasing
temperatures
times
that
can
realize
assisted
AWH's
practical
energy-efficient
use
(Energy
consumption
<
5kWh/L-water).
From
this
perspective,
we
offer
concise
review
advancements
enhanced
AWH
technologies,
delve
into
attributes
appropriate
MOFs,
insights
potential
future
directions
MOFs-AWH.
In
conclusion,
underscore
development
designable
MOFs
holds
key
widespread
implementation
AWH,
promising
availability
affordable
clean
anywhere
world.
Climatic Change,
Journal Year:
2024,
Volume and Issue:
177(5)
Published: May 1, 2024
Abstract
We
study
the
impact
of
recent
global
warming
on
extreme
climatic
events
in
Central
Asia
(CA)
for
1901-2019
by
comparing
composite
representation
observational
climate
with
a
hypothetical
counterfactual
one
that
does
not
include
long-term
trend.
The
data
are
produced
based
simple
detrending
approach,
using
mean
temperature
(GMT)
as
independent
variable
and
removing
trends
from
variables
data.
This
trend
elimination
is
causality,
day-to-day
variability
remains
preserved.
analysis
done
paper
shows
increase
frequency
magnitude
precipitation
can
be
attributed
to
warming.
Specifically,
probability
experiencing
+7
K
anomaly
event
CA
increases
up
factor
seven
some
areas
due
reveals
significant
heatwave
occurrences
Asia,
dataset
GSWP3-W5E5
(later
called
also
factual)
showing
more
frequent
prolonged
heat
than
scenarios
without
trend,
evident
disparity
between
factual
data,
underscores
critical
changes
weather
patterns,
highlighting
urgent
need
robust
adaptation
mitigation
strategies.
Additionally,
self-calibrated
Palmer
drought
severity
index
(scPDSI),
sensitivity
dry
wet
coupled
analyzed.
under
conditions
enhanced
compared
scenario,
especially
over
largest
deserts
CA.
expansion
regions
aligns
well
pattern
desert
development
observed
decades.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
158, P. 111514 - 111514
Published: Jan. 1, 2024
With
the
frequent
occurrence
of
worldwide
extreme
climate
events,
human-induced
ecosystem
degradation
has
seriously
threatened
realization
Sustainable
Development
Goals
(SDGs),
especially
in
arid
ecologically
fragile
areas.
Macro-scale
ecological
quality
(EQ)
monitoring
and
exploration
its
driving
mechanisms
have
become
research
hotspots.
However,
this
field
still
lacks
a
method
framework
with
strong
comparability,
adaptability
transferability,
which
significantly
restricts
applicability
results.
In
study,
for
exploring
spatial
temporal
changes
EQ
their
based
on
text
summarization
information
extraction
is
constructed.
Taking
Central
Asia
as
typical
case,
study
outlines
paths,
explores
influencing
representative
drivers,
verifies
effectiveness
comparison
evolution
at
multiple
scales.
The
results
indicate
that
overall
exhibited
slight
inverted
U-shaped
trend,
paths
falling
into
five
categories:
urban
expansion,
agricultural
development,
resource
extraction,
change,
protection.
fragmentation
areas
high
main
landscape
characteristic
Asia.
Furthermore,
land
use
intensity
water
efficiency
are
significant
factors
Asia's
evolution.
Over
time,
interaction
between
anthropogenic
natural
played
an
essential
role
Asia,
interactions
altitude,
aridity,
efficiency,
gradually
intensifying.
This
implication
construction
EQ-related
macro
scale.
