The
global
urban
population
has
reached
52%
(4.4
billion
people)
and
is
projected
to
hit
68%
(6.7
by
2050,
impacting
local
hydroclimate
surface
energy/water
budgets.
Climate
change-related
events
such
as
heatwaves,
floods,
storms
pose
significant
risks
cities,
damaging
infrastructure
disrupting
lives.
Urban
canopy
models
(UCMs,)
integrated
into
the
Weather
Research
Forecasting
(WRF)
model,
used
simulate
interactions
between
atmosphere
environment.
This
chapter
provides
a
comprehensive
overview
of
WRF-Urban
highlighting
its
role
in
fostering
resilience
sustainability.
By
examining
interplay
urbanization
climate
change,
vulnerabilities
faced
cities
are
underscored,
emphasizing
crucial
numerical
modeling.
Insightful
case
studies
showcase
practical
implementation
model.
Limitations
model
discussed,
along
with
potential
pathways
for
enhancing
capabilities
enabling
future
advancements
modeling
decision-making.
In
summary,
this
explores
significance
addressing
challenges
posed
promoting
resilience,
facilitating
informed
Weather and Climate Extremes,
Journal Year:
2023,
Volume and Issue:
40, P. 100570 - 100570
Published: May 11, 2023
The
China-Pakistan
Economic
Corridor
(CPEC)
is
a
climate
change-sensitive
region,
facing
frequent
and
intense
heat
waves
(HWs).
CPEC
expected
to
experience
simultaneous
increase
in
population
temperature
the
coming
decades,
which
could
exacerbate
human
exposure
future
HWs.
However,
it
unknown
how
much
of
would
likely
be
exposed
HWs
under
changing
climate.
This
study
used
Coupled
Model
Inter-comparison
Project
6
(CMIP6)
models
projections
estimate
daytime,
nighttime,
compound
during
2071–2100,
relative
1985–2014
four
Shared
Socioeconomic
Pathways
(SSPs).
results
indicate
that
region
will
probably
highest
number
nighttime
HWs,
followed
by
daytime
northern,
southwestern,
southern
parts
CPEC.
largest
eastern
southwestern
SSP3-70|SSP3,
SSP5-8.5|SSP5,
SSP2-4.5|SSP2,
SSP1-2.6|SSP1.
reveal
climatic
interactive
effects
significantly
escalate
probability
2015-HWs-like
events
such
extremes
higher
return
period
2015-HW-like
decrease,
indicates
their
occurrence
selected
SSPs.
findings
highlight
need
for
urgent
actions
limit
greenhouse
gas
emissions
adopt
effective
adaptation
measures
order
avoid
negative
consequences
on
local
future.
Solar Energy,
Journal Year:
2023,
Volume and Issue:
266, P. 112039 - 112039
Published: Oct. 17, 2023
The
dependency
of
photovoltaic
(PV)
power
generation
on
meteorological
parameters
can
impact
production
due
to
weather-induced
variability.
During
the
day,
fluctuations
in
radiation
introduce
intermittency
generated,
raising
reliability
and
grid
stability
issues
at
higher
penetration
levels.
Long-term
future
resource
assessment
provides
an
effective
tool
for
estimating
essential
pre-feasibility
site
assessments
around
world.
Australia
has
high
solar
capacity,
with
several
farms
operational
developmental
stage.
Using
as
a
case
study,
this
research
aims
understand
Australia's
distribution
variability
using
regional
climate
model
projections
under
emission
scenario.
Results
indicate
abundance
density
Australia,
especially
North
(450-500Wm−2).
will
be
more
reliable
Eastern
∼
5%
increase
density.
suggest
reduction
(∼20-minute
lull
periods)
East
clear-sky
days/year
(∼20
days/year).
Resource
Sun
Cable
New
England
farm
located
revealed
scope
days
sites.
This
long-term
analysis
help
identify
regions
where
PV
systems
least
susceptible
losses
intermittency.
Furthermore,
study
critical
decision-making
processes
like
planning
storage
systems,
selection,
opportunities
create
hybrid
co-existence
wind
technology,
etc.,
mitigate
risks
associated
intermittent
generation.
Journal of Geophysical Research Atmospheres,
Journal Year:
2024,
Volume and Issue:
129(6)
Published: March 11, 2024
Abstract
Wind
and
solar
energy
are
crucial
for
meeting
the
growing
demand
mitigating
impact
of
climate
change,
their
sources
show
a
climate‐dependence.
Here,
based
on
outputs
from
two
regional
models
(RCMs)
driven
by
three
global
within
Coordinated
Regional
Climate
Downscaling
Experiments‐East
Asia
(CORDEX‐EA‐II),
effects
future
change
wind
power
density
(WPD)
photovoltaic
potential
(PVP)
in
China
under
Representative
Concentration
Pathway
(RCP)
2.6
scenario
RCP8.5
comprehensively
investigated,
uncertainty
also
quantified.
Results
that
all
RCMs
can
reproduce
observed
WPD
PVP
employing
Quantile
Delta
Mapping
method
speed
simulations.
For
projections,
annual
averages
tend
to
decrease
−11.67%
−1.7%
−4.6%
−1.12%,
respectively,
with
more
significant
reduction
than
RCP2.6.
Note
uncertainties
exist
among
RCMs'
simulations
terms
projections
long‐term
trends.
Further
analysis
reveals
both
primarily
internal
variability
most
sub‐regions
except
Tibetan
Plateau,
where
GCM
emission
scenarios
play
dominant
role
projection,
respectively.
This
study
highlights
benefits
controlling
greenhouse
gas
emissions
enhancing
stabilizing
renewable
China.