Geophysical Research Letters,
Journal Year:
2022,
Volume and Issue:
49(21)
Published: Oct. 21, 2022
Abstract
Large‐scale
human
activity
changes
in
megacities
during
Chinese
New
Year
(CNY)
are
believed
to
significantly
affect
urban
heat
islands
(UHIs).
However,
the
urban‐rural
gradient
UHI
variations
responsive
cities
remains
largely
unclear.
Using
in‐situ
surface
air
temperature
obtained
from
a
meteorological
network
that
includes
3000‐plus
stations,
we
show
mean
intensity
(UHII)
31
capitals
is
0.52
±
0.23
K
CNY
holiday
and
0.77
0.29
reference
period,
indicating
UHII
reduction
of
0.25
0.20
holiday.
The
reduced
decreased
more
city
core
(0.54
K)
periphery
(0.071
K).
We
find
these
reductions
were
larger
at
night
than
day
northern
subtropical
warm
temperate
climates
other
climates.
These
mainly
attributable
decline
anthropogenic
release.
Sustainable Cities and Society,
Journal Year:
2023,
Volume and Issue:
98, P. 104833 - 104833
Published: July 30, 2023
Extreme
heat
exposure
at
the
regional
scale
is
warranted
for
special
attention
due
to
changing
global
climate
yet
notable
disparities
in
effect
of
warming.
NASA's
latest
ECOSTRESS
mission
generates
LST
images
with
a
swath
width
about
400
km
and
70-m
resolution
varying
times
day/night
provides
new
opportunity
SUHI
studies.
Here
we
demonstrated
capability
data
studying
spatiotemporal
variations
over
an
urban
agglomeration
that
centers
on
megacity,
Xi'an,
Northwest
China
includes
cities
various
sizes
geographical
economic
settings.
Our
results
revealed
unequal
exposures
different-sized
effects
diurnal
cycle,
maximum
value
10
°C.
Meanwhile,
inter-city
showed
higher
spatial
variability
late
morning,
midday,
early
afternoon
than
evening,
midnight,
morning.
Urban
vegetation
percent
imperviousness
can
regulate
each
city,
impact
varied
across
or
different
times.
The
findings
have
implications
assessing
extreme
cities,
enlightening
mitigation
strategies,
informing
future
sustainability.
Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(2)
Published: Jan. 12, 2024
Abstract
Satellite‐based
thermal
infrared
(TIR)
land
surface
temperature
(LST)
is
hindered
by
cloud
cover
and
applicable
solely
under
clear‐sky
conditions
for
estimating
urban
heat
island
intensity
(SUHII).
Clear‐sky
SUHII
may
not
accurately
represent
all‐sky
conditions,
potentially
introducing
quantitative
biases
in
assessing
islands.
However,
the
differences
between
SUHIIs
their
spatiotemporal
variations
are
still
poorly
understood.
Our
analysis
of
over
600
global
cities
demonstrates
that
mostly
higher
than
SUHII,
particularly
summer,
daytime,
precipitation‐rich
regions.
Besides,
typically
exhibits
stronger
seasonal
diurnal
contrasts
especially
located
humid
These
discrepancies
can
be
attributed
mainly
to
increased
missing
LST
data
caused
enhancement
areas.
findings
highlight
tendency
observations
overestimate
providing
valuable
insights
standardizing
quantification
Urban Climate,
Journal Year:
2024,
Volume and Issue:
53, P. 101806 - 101806
Published: Jan. 1, 2024
The
urban
heat
island
(UHI)
phenomenon,
a
well-documented
consequence
of
urbanization
and
industrialization,
is
one
significant
anthropogenic
alteration
to
the
Earth
system.
surface
UHI
(SUHI)
has
been
subject
extensive
study
in
recent
decades
owing
easy
access
spatially
continuous
satellite
data
observations.
However,
there
lack
comprehensive
SUHI
studies
understand
possible
underlying
mechanisms
drivers
SUHI's
spatial
variation
over
Taiwan.
Therefore,
we
aim
investigate
diurnal,
seasonal,
patterns
intensity
(SUHII)
its
driving
factors
eleven
cities
Taiwan
from
2003
2020.
We
employed
Stepwise
multiple
regression,
Pearson's
correlation
technique,
land
temperature
(LST)
Aqua/Terra
MODIS
explore
relationship
between
SUHII
factors.
Our
findings
reveal
that
was
more
intense
daytime
(from
2.21
6.78
°C)
than
at
night
0.52
1.63
°C),
intensive
SUHIIs
were
observed
northern
(day
night:
4.99
1.09
southern
(3.35
1.01
°C).
exhibited
seasonal
variation,
with
greater
day
night.
pattern
highly
correlated
normalized
difference
latent
index
(NDLI),
vegetation,
built-up
intensity,
emissions.
In
contrast,
nighttime
closely
related
light,
vegetation.
considered
this
work
explained
fraction
(79.5
89.0%)
(44.9
77.0%),
indicating
mechanism
complicated,
especially
spring
vs.
81.5%
50.3%)
winter
seasons
(85.3%
44.9%).
This
provides
crucial
information
on
spatio-temporal
forces
can
aid
developing
mitigation
strategies.
