Climate Dynamics,
Journal Year:
2017,
Volume and Issue:
55(1-2), P. 95 - 110
Published: Oct. 28, 2017
Deep
convection
is
a
key
process
in
the
climate
system
and
main
source
of
precipitation
tropics,
subtropics,
mid-latitudes
during
summer.
Furthermore,
it
related
to
high
impact
weather
causing
floods,
hail,
tornadoes,
landslides,
other
hazards.
State-of-the-art
models
have
parameterize
deep
due
their
coarse
grid
spacing.
These
parameterizations
are
major
uncertainty
long-standing
model
biases.
We
present
North
American
scale
convection-permitting
simulation
that
able
explicitly
simulate
its
4-km
apply
feature-tracking
algorithm
detect
hourly
from
Mesoscale
Convective
Systems
(MCSs)
compare
with
radar-based
estimates
east
US
Continental
Divide.
The
capture
characteristics
observed
MCSs
such
as
size,
rate,
propagation
speed,
lifetime
within
observational
uncertainties.
In
particular,
produce
realistically
propagating
MCSs,
which
was
challenge
modeling.
However,
MCS
frequency
significantly
underestimated
central
late
discuss
origin
this
biases
suggest
strategies
for
improvements.
Annual Review of Earth and Planetary Sciences,
Journal Year:
2020,
Volume and Issue:
48(1), P. 519 - 548
Published: Feb. 20, 2020
Climate
extremes
threaten
human
health,
economic
stability,
and
the
well-being
of
natural
built
environments
(e.g.,
2003
European
heat
wave).
As
world
continues
to
warm,
climate
hazards
are
expected
increase
in
frequency
intensity.
The
impacts
extreme
events
will
also
be
more
severe
due
increased
exposure
(growing
population
development)
vulnerability
(aging
infrastructure)
settlements.
models
attribute
part
projected
increases
intensity
disasters
anthropogenic
emissions
changes
land
use
cover.
Here,
we
review
impacts,
historical
changes,and
theoretical
research
gaps
key
(heat
waves,
droughts,
wildfires,
precipitation,
flooding).
We
highlight
need
improve
our
understanding
dependence
between
individual
interrelated
because
anthropogenic-induced
warming
risk
not
only
but
compound
(co-occurring)
cascading
hazards.
▪
a
world.
Anthropogenic-induced
causes
drivers
Climatic Change,
Journal Year:
2018,
Volume and Issue:
151(3-4), P. 555 - 571
Published: Nov. 10, 2018
As
climate
change
research
becomes
increasingly
applied,
the
need
for
actionable
information
is
growing
rapidly.
A
key
aspect
of
this
requirement
representation
uncertainties.
The
conventional
approach
to
representing
uncertainty
in
physical
aspects
probabilistic,
based
on
ensembles
model
simulations.
In
face
deep
uncertainties,
known
limitations
are
becoming
apparent.
An
alternative
thus
emerging
which
may
be
called
a
'storyline'
approach.
We
define
storyline
as
physically
self-consistent
unfolding
past
events,
or
plausible
future
events
pathways.
No
priori
probability
assessed;
emphasis
placed
instead
understanding
driving
factors
involved,
and
plausibility
those
factors.
introduce
typology
four
reasons
using
storylines
represent
change:
(i)
improving
risk
awareness
by
framing
an
event-oriented
rather
than
probabilistic
manner,
corresponds
more
directly
how
people
perceive
respond
risk;
(ii)
strengthening
decision-making
allowing
one
work
backward
from
particular
vulnerability
decision
point,
combining
with
other
relevant
address
compound
develop
appropriate
stress
tests;
(iii)
providing
basis
partitioning
uncertainty,
thereby
use
credible
regional
models
conditioned
manner
(iv)
exploring
boundaries
plausibility,
guarding
against
false
precision
surprise.
Storylines
also
offer
powerful
way
linking
human
change.
Global Change Biology,
Journal Year:
2019,
Volume and Issue:
25(7), P. 2325 - 2337
Published: April 29, 2019
Abstract
Increasing
drought
and
extreme
rainfall
are
major
threats
to
maize
production
in
the
United
States.
However,
compared
impact,
impact
of
excessive
on
crop
yield
remains
unresolved.
Here,
we
present
observational
evidence
from
insurance
data
that
can
reduce
up
−34%
(−17
±
3%
average)
States
relative
expected
long‐term
trend,
comparable
−37%
loss
by
(−32
2%
1981
2016.
Drought
consistently
decreases
due
water
deficiency
concurrent
heat,
with
greater
for
rainfed
wetter
areas.
Excessive
have
either
negative
or
positive
yield,
its
sign
varies
regionally.
significantly
cooler
areas
conjunction
poorly
drained
soils,
such
gets
exacerbated
under
condition
high
preseason
soil
storage.
Current
process‐based
models
cannot
capture
overestimate
wet
conditions.
Our
results
highlight
need
improved
understanding
modeling
yield.
Water Resources Research,
Journal Year:
2018,
Volume and Issue:
54(11), P. 8545 - 8551
Published: Nov. 1, 2018
Abstract
Despite
evidence
of
increasing
precipitation
extremes,
corresponding
for
increases
in
flooding
remains
elusive.
If
anything,
flood
magnitudes
are
decreasing
despite
widespread
claims
by
the
climate
community
that
if
extremes
increase,
floods
must
also.
In
this
commentary
we
suggest
reasons
why
extreme
rainfall
not
resulting
flooding.
Among
possible
mechanisms
responsible,
identify
decreases
antecedent
soil
moisture,
storm
extent,
and
snowmelt.
We
argue
understanding
link
between
changes
is
a
grand
challenge
hydrologic
deserving
increased
attention.
Annals of the New York Academy of Sciences,
Journal Year:
2020,
Volume and Issue:
1472(1), P. 49 - 75
Published: April 4, 2020
Abstract
Globally,
thermodynamics
explains
an
increase
in
atmospheric
water
vapor
with
warming
of
around
7%/°C
near
to
the
surface.
In
contrast,
global
precipitation
and
evaporation
are
constrained
by
Earth's
energy
balance
at
∼2–3%/°C.
However,
this
rate
is
suppressed
rapid
adjustments
response
greenhouse
gases
absorbing
aerosols
that
directly
alter
budget.
Rapid
forcings,
cooling
effects
from
scattering
aerosol,
observational
uncertainty
can
explain
why
observed
responses
currently
difficult
detect
but
expected
emerge
accelerate
as
increases
aerosol
forcing
diminishes.
Precipitation
be
smaller
over
land
than
ocean
due
limitations
on
moisture
convergence,
exacerbated
feedbacks
affected
adjustments.
Thermodynamic
fluxes
amplify
wet
dry
events,
driving
intensification
extremes.
The
deviate
a
simple
thermodynamic
in‐storm
larger‐scale
feedback
processes,
while
changes
large‐scale
dynamics
catchment
characteristics
further
modulate
frequency
flooding
increases.
Changes
circulation
radiative
evolving
surface
temperature
patterns
capable
dominating
cycle
some
regions.
Moreover,
direct
impact
human
activities
through
abstraction,
irrigation,
use
change
already
significant
component
regional
importance
demand
grows
population.
Nature Communications,
Journal Year:
2018,
Volume and Issue:
9(1)
Published: Oct. 16, 2018
Abstract
Weather
extremes
have
widespread
harmful
impacts
on
ecosystems
and
human
communities
with
more
deaths
economic
losses
from
flash
floods
than
any
other
severe
weather-related
hazards.
Flash
attributed
to
storm
runoff
are
projected
become
frequent
damaging
globally
due
a
warming
climate
anthropogenic
changes,
but
previous
studies
not
examined
the
response
of
these
naturally
anthropogenically
driven
changes
in
surface
temperature
atmospheric
moisture
content.
Here
we
show
that
increase
most
regions
at
rates
higher
suggested
by
Clausius-Clapeyron
scaling,
which
systematically
close
or
exceed
those
precipitation
over
globe,
accompanied
large
spatial
decadal
variability.
These
results
suggest
current
may
be
underestimated,
posing
threats
for
ecosystem
community
resilience
under
future
conditions.