Global Change Biology,
Journal Year:
2021,
Volume and Issue:
27(23), P. 6307 - 6319
Published: Oct. 3, 2021
Ecological
research
heavily
relies
on
coarse-gridded
climate
data
based
standardized
temperature
measurements
recorded
at
2
m
height
in
open
landscapes.
However,
many
organisms
experience
environmental
conditions
that
differ
substantially
from
those
captured
by
these
macroclimatic
(i.e.
free
air)
grids.
In
forests,
the
tree
canopy
functions
as
a
thermal
insulator
and
buffers
sub-canopy
microclimatic
conditions,
thereby
affecting
biological
ecological
processes.
To
improve
assessment
of
climatic
climate-change-related
impacts
forest-floor
biodiversity
functioning,
high-resolution
grids
reflecting
forest
microclimates
are
thus
urgently
needed.
Combining
more
than
1200
time
series
situ
near-surface
with
topographical,
variables
machine
learning
model,
we
predicted
mean
monthly
offset
between
15
cm
above
surface
free-air
over
period
2000-2020
spatial
resolution
25
across
Europe.
This
was
used
to
evaluate
difference
microclimate
macroclimate
space
seasons
finally
enabled
us
calculate
annual
temperatures
for
European
understories.
We
found
air
temperatures,
being
average
2.1°C
(standard
deviation
±
1.6°C)
lower
summer
2.0°C
higher
(±0.7°C)
winter
Additionally,
our
maps
expose
considerable
variation
within
landscapes,
not
gridded
products.
The
provided
will
enable
future
model
below-canopy
processes
patterns,
well
species
distributions
accurately.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: July 8, 2022
Abstract
Global
vegetation
and
associated
ecosystem
services
critically
depend
on
soil
moisture
availability
which
has
decreased
in
many
regions
during
the
last
three
decades.
While
spatial
patterns
of
sensitivity
to
global
water
have
been
recently
investigated,
long-term
changes
are
still
unclear.
Here
we
assess
1982-2017
by
applying
explainable
machine
learning
with
observation-based
leaf
area
index
(LAI)
hydro-climate
anomaly
data.
We
show
that
LAI
significantly
increases
semi-arid
arid
regions.
trends
multiple
ecological
variables,
strongest
increasing
occur
most
water-sensitive
additionally
experience
declining
precipitation.
State-of-the-art
land
surface
models
do
not
reproduce
this
as
they
misrepresent
strength.
Our
results
imply
an
vulnerability
can
lead
exacerbated
reductions
carbon
uptake
under
future
intensified
drought,
consequently
amplifying
climate
change.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Feb. 9, 2023
In
late
June
2021
a
heatwave
of
unprecedented
magnitude
impacted
the
Pacific
Northwest
region
Canada
and
United
States.
Many
locations
broke
all-time
maximum
temperature
records
by
more
than
5
°C,
Canadian
national
record
was
broken
4.6
with
new
49.6
°C.
Here,
we
provide
comprehensive
summary
this
event
its
impacts.
Upstream
diabatic
heating
played
key
role
in
anomaly.
Weather
forecasts
provided
advanced
notice
event,
while
sub-seasonal
showed
an
increased
likelihood
heat
extreme
lead
times
10-20
days.
The
impacts
were
catastrophic,
including
hundreds
attributable
deaths
across
Northwest,
mass-mortalities
marine
life,
reduced
crop
fruit
yields,
river
flooding
from
rapid
snow
glacier
melt,
substantial
increase
wildfires-the
latter
contributing
to
landslides
months
following.
These
examples
can
learn
vivid
depiction
how
climate
change
be
so
devastating.
Environmental Science & Technology,
Journal Year:
2022,
Volume and Issue:
56(14), P. 9988 - 9998
Published: June 29, 2022
Nitrogen
dioxide
(NO2)
at
the
ground
level
poses
a
serious
threat
to
environmental
quality
and
public
health.
This
study
developed
novel,
artificial
intelligence
approach
by
integrating
spatiotemporally
weighted
information
into
missing
extra-trees
deep
forest
models
first
fill
satellite
data
gaps
increase
availability
49%
then
derive
daily
1
km
surface
NO2
concentrations
over
mainland
China
with
full
spatial
coverage
(100%)
for
period
2019–2020
combining
measurements,
tropospheric
columns
derived
from
TROPOMI
OMI,
atmospheric
reanalysis,
model
simulations.
Our
estimates
have
an
average
out-of-sample
(out-of-city)
cross-validation
coefficient
of
determination
0.93
(0.71)
root-mean-square
error
4.89
(9.95)
μg/m3.
The
seamless
high-resolution
high-quality
dataset
"ChinaHighNO2"
allows
us
examine
patterns
fine
scales
such
as
urban–rural
contrast.
We
observed
systematic
large
differences
between
urban
rural
areas
(28%
on
average)
in
NO2,
especially
provincial
capitals.
Strong
holiday
effects
were
found,
declines
22
14%
during
Spring
Festival
National
Day
China,
respectively.
Unlike
North
America
Europe,
there
is
little
difference
weekdays
weekends
(within
±1
μg/m3).
During
COVID-19
pandemic,
decreased
considerably
gradually
returned
normal
levels
around
72nd
day
after
Lunar
New
Year
which
about
3
weeks
longer
than
column,
implying
that
former
can
better
represent
changes
NOx
emissions.
Atmospheric chemistry and physics,
Journal Year:
2023,
Volume and Issue:
23(2), P. 1511 - 1532
Published: Jan. 26, 2023
Abstract.
Gaseous
pollutants
at
the
ground
level
seriously
threaten
urban
air
quality
environment
and
public
health.
There
are
few
estimates
of
gaseous
that
spatially
temporally
resolved
continuous
across
China.
This
study
takes
advantage
big
data
artificial-intelligence
technologies
to
generate
seamless
daily
maps
three
major
ambient
pollutant
gases,
i.e.,
NO2,
SO2,
CO,
China
from
2013
2020
a
uniform
spatial
resolution
10
km.
Cross-validation
between
our
observations
illustrated
high
on
basis
for
surface
CO
concentrations,
with
mean
coefficients
determination
(root-mean-square
errors)
0.84
(7.99
µg
m−3),
(10.7
0.80
(0.29
mg
respectively.
We
found
COVID-19
lockdown
had
sustained
impacts
pollutants,
where
recovered
its
normal
in
around
34th
day
after
Lunar
New
Year,
while
SO2
NO2
rebounded
more
than
2
times
slower
due
emissions
residents'
increased
indoor
cooking
atmospheric
oxidation
capacity.
Surface
reached
their
peak
annual
concentrations
21.3
±
8.8
m−3,
23.1
13.3
1.01
0.29
m−3
2013,
then
continuously
declined
over
time
by
12
%,
55
17
respectively,
until
2020.
The
declining
rates
were
prominent
2017
sharper
reductions
anthropogenic
but
have
slowed
down
recent
years.
Nevertheless,
people
still
suffer
high-frequency
risk
exposure
eastern
China,
almost
World
Health
Organization
(WHO)
recommended
short-term
guidelines
(AQG)
since
2018,
benefiting
implemented
stricter
“ultra-low”
emission
standards.
reconstructed
dataset
will
benefit
future
(especially
short-term)
pollution
environmental
health-related
studies.
Remote Sensing of Environment,
Journal Year:
2022,
Volume and Issue:
280, P. 113181 - 113181
Published: July 28, 2022
Global
surface
temperature
has
been
setting
new
record
highs
in
the
recent
decades,
imposing
increasing
environmental
challenges
for
societies
and
ecosystems
worldwide.
warming
rates
of
20th
century
have
documented
by
a
number
studies,
nevertheless,
most
decades
21st
are
particular
interest
understanding
ongoing
climate
change.
Analyzing
trends
demands
data
with
high
spatial
resolution
broad
geographical
coverage
to
allow
analyzing
changes
on
regional
scale.
Land
Surface
Temperature
from
NASA
MODIS
global
0.05°
Skin
European
Centre
Medium-Range
Weather
Forecasts
(ECMWF)
ERA5-Land
reanalysis
0.1°
fulfill
these
demands.
In
this
study,
we
analyze
remote-sensing-based
estimate
land
change
over
period
2001–2020
global,
continental,
pixel-wise
scales
statistical
significance
indicated.
The
model-based
also
analyzed
parallel,
extending
analysis
back
1981.
These
two
independently-sourced
datasets,
one
satellites
above
atmosphere
combining
modeling
observations,
shown
produce
highly
consistent
results.
It
is
revealed
that
shorter
spatially
conforming
longer
1981–2020
despite
time
length.
For
2001–2020,
show
average
rate
was
0.26
°C-0.34
°C
per
decade,
substantially
different
regions.
Arctic,
Europe,
Russia
statistically
significant
both
datasets.
particular,
warmed
at
2.5–2.8
times
average,
40-year
suggest
accelerating
almost
all
continents
or
large
Most
noticeably,
independent
datasets
indicate
Arctic
permafrost
regions
had
world's
highest
onset
century,
reaching
>2
decade
some
areas.