Performance Evaluation of CMIP6 Models in Simulating the Dynamic Processes of Arctic‐Tropical Climate Connection During Winter
Journal of Geophysical Research Atmospheres,
Journal Year:
2024,
Volume and Issue:
129(17)
Published: Sept. 4, 2024
Abstract
In
this
study,
the
performance
of
24
Coupled
Model
Intercomparison
Project
Phase
6
(CMIP6)
models
in
simulating
dynamic
processes
Arctic
sea
ice
concentration
(SIC)‐
and
El
Niño‐Southern
Oscillation
(ENSO)‐
forced
teleconnection
during
winter
is
subjectively
objectively
evaluated.
The
SIC‐forced
associated
with
a
warm
Arctic‐cold
Eurasian
pattern
surface
temperature
(T2m),
low
Arctic‐high
level
pressure
(SLP),
southeastward
propagating
wave‐train
originating
from
upper
troposphere.
ENSO‐forced
poleward
tropical
Pacific
troposphere,
North
Pacific‐high
SLP,
cold
Pacific‐warm
Greenland
T2m.
metrics
Taylor
skill
scores
Distance
between
indices
simulation
observation
(DISO)
are
used
to
quantitatively
evaluate
models.
results
subjective
objective
evaluation
essentially
consistent.
CanESM5,
MPI‐ESM1‐2‐HR,
EC‐Earth3,
MRI‐ESM2‐0
have
best
teleconnection.
CESM2,
ACCESS‐CM2,
NESM3,
NorESM2‐MM,
CAS‐ESM2‐0,
two
best‐performing
multi‐model
ensembles
well
reproduce
SIC‐
ENSO‐
diversity
model
attributed
different
skills
interannual
variability
SIC,
anomalous
deep
high
over
Barents‐Kara
Seas,
SSTs,
wave
number
Rossby
waves.
Language: Английский
An experimental study on the responses of spring snowmelt erosion to driving factors in a Chinese Mollisol soil
Lun Wang,
No information about this author
Fenli Zheng,
No information about this author
Xinyue Yang
No information about this author
et al.
International Soil and Water Conservation Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 1, 2025
Language: Английский
Dynamics of Spring Snow Cover Variability over Northeast China
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(22), P. 5330 - 5330
Published: Nov. 12, 2023
Spring
snow
cover
variability
over
Northeast
China
(NEC)
has
a
profound
influence
on
the
local
grain
yield
and
even
food
security
of
country,
but
its
drivers
remain
unclear.
In
present
study,
we
investigated
spatiotemporal
features
underlying
mechanisms
spring
NEC
during
1983–2018
based
satellite-derived
data
atmospheric
reanalysis
products.
The
empirical
orthogonal
function
(EOF)
analysis
showed
that
first
EOF
mode
(EOF1)
explains
about
50%
total
variances
characterizes
coherent
pattern
NEC.
Further
analyses
suggested
formation
EOF1
is
jointly
affected
by
internal
sea
surface
temperature
(SST)
anomaly
at
interannual
timescale.
Specifically,
following
negative
phase
teleconnection
Polar–Eurasian
pattern,
prominent
cyclonic
circulation
appears
NEC,
which
increases
snowfall
east
enhancing
water
vapor
transport
decreases
air
through
reducing
solar
radiation
intensifying
cold
advection.
As
result,
increased
Additionally,
tripole
structure
North
Atlantic
SST
could
excite
wave-train-type
anomalous
propagating
to
further
regulates
altering
dynamic
thermodynamic
conditions
resultant
snowfall.
Our
results
have
important
implications
understanding
formulation
agricultural
production
plan.
Language: Английский
Study on physical properties and snow-melting performance of multilayer composite conductive-pervious concrete for improving the snow-melting efficiency and energy consumption of ECON
Construction and Building Materials,
Journal Year:
2024,
Volume and Issue:
446, P. 137969 - 137969
Published: Aug. 25, 2024
Language: Английский