Attributing rainfall and drought variability across climate vulnerable area of Pakistan: Perspective from different satellite and ground-based datasets
Theoretical and Applied Climatology,
Journal Year:
2025,
Volume and Issue:
156(2)
Published: Jan. 10, 2025
Language: Английский
Comparative study of multiple algorithms classification for Land Use and Land Cover Change Detection and its impact on local climate of Mardan District, Pakistan
Environmental Challenges,
Journal Year:
2024,
Volume and Issue:
unknown, P. 101069 - 101069
Published: Dec. 1, 2024
Language: Английский
How Significant is Projected Drought Risk in Pakistan Under a Warmer Climate?
Earth Systems and Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Language: Английский
Agricultural productivity under climate change vulnerability: does carbon reduction paths matter for sustainable agriculture?
Environment Development and Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 8, 2025
Language: Английский
Elevation‐dependent warming and possible‐driving mechanisms over global highlands
International Journal of Climatology,
Journal Year:
2024,
Volume and Issue:
44(12), P. 4157 - 4177
Published: Sept. 7, 2024
Abstract
Elevation‐dependent
warming
(EDW)
has
been
a
topic
of
intense
debate
due
to
limited
observed
data
in
global
highland
areas.
This
study
aims
fill
this
gap
by
utilizing
CRU
and
ERA5
datasets
from
1981
2021
explore
the
trends
climate
change
its
elevation
dependency.
The
anomalies
temperature
indicators
(
T
mean
,
max
min
)
both
showed
significant
over
highlands.
Moreover,
response
across
highlands
is
not
spatially
uniform.
linear
regression
model
based
on
signals
for
at
various
elevations
On
regional
scale,
predominantly
EDW
EU
highlands,
while
Asian
exhibited
4–5
km.
2.5–5.5
km
with
3–5
CRU.
In
Andes,
was
prominent
2.5–4
Overall,
are
evident
all
studied
regions
but
vary
them.
While
assessing
driving
factors,
results
indicate
that
total
column
water
vapour
(TCWV),
snow
depth
(SD),
albedo,
normalized
difference
vegetation
index
(NDVI)
correlated
positively
indicators.
These
findings
emphasize
significance
elevation‐specific
interactions
between
environmental
factors
forecasting
changes
mountainous
Additionally,
coherence
teleconnection
indices
Atlantic
Pacific
Oceans.
European
(EU)
interzonal
Oceans,
North
American
(NA)
coherence,
followed
South
(SA)
provide
comprehensive
understanding
implications
globally,
including
potential
more
severe
depletion
snow/ice
resources
warmer
future.
Language: Английский
Examining the Impacts of Recent Water Availability on the Future Food Security Risks in Pakistan Using Machine Learning Approaches
Water,
Journal Year:
2024,
Volume and Issue:
17(1), P. 55 - 55
Published: Dec. 28, 2024
Food
and
water
security
are
critical
challenges
in
Pakistan,
exacerbated
by
rapid
population
growth,
climate
variability,
limited
resources.
This
study
explores
the
application
of
machine
learning
techniques
to
address
these
issues.
We
specifically
examine
dimensions
food
employing
data-driven
methods
enhance
crop
yield
predictions,
production
forecasting,
resource
management.
Using
secondary
data,
we
refine
models,
such
as
random
forest
linear
regression,
analyze
availability,
yield,
production.
These
models
aim
optimize
distribution,
improve
irrigation
efficiency,
minimize
waste.
propose
developing
AI-based
predictions
crises
proactively.
Our
findings
indicate
that
insecurity
persists
worsened
uneven
distribution.
Given
country’s
high
dependence
on
for
production,
impact
growth
demand.
recommend
a
comprehensive
strategy
includes
infrastructure
development,
improved
use
efficiency
agriculture,
policy
adjustments
balance
imports
exports.
Language: Английский