Water,
Год журнала:
2022,
Номер
14(9), С. 1359 - 1359
Опубликована: Апрель 22, 2022
The
fidelity
of
gridded
rainfall
datasets
is
important
for
the
characterization
features
across
globe.
This
study
investigates
climatology,
interannual
variability,
and
spatial-temporal
variations
seasonal
over
Thailand
during
1970–2007
period
using
station
data
obtained
from
Thai
Meteorological
Department
(TMDstn).
In
addition,
performance
three
datasets,
namely
APHRODITE,
CRU,
GPCC,
in
reproducing
these
were
intercompared
further
validated
with
results
derived
TMDstn.
Results
show
that
can
reproduce
spatial
distribution
TMDstn’s
summer
mean
rainfall.
However,
large
systematic
underestimation
seen
while
GPCC
shows
better
agreement
TMDstn
as
compared
to
others.
winter,
well
captured
by
all
data,
especially
upper
part
Thailand,
they
failed
capture
high
intensity
south
eastern
parts
Thailand.
Meanwhile,
underestimated
variability
winter
season
Using
EOF
analysis,
we
demonstrate
first
two
dominant
modes
rainfall,
explained
variance
EOF-1.
season,
a
good
found
between
both
pattern
temporal
variation.
Overall,
relatively
climatology
their
year-to-year
variation
Furthermore,
largely
dependent
on
complexity
topography.
this
indicates
existence
bias
when
Therefore,
need
users
pay
attention
reliability
trying
identify
possible
mechanisms
responsible
Land,
Год журнала:
2025,
Номер
14(2), С. 219 - 219
Опубликована: Янв. 22, 2025
With
the
accelerating
pace
of
global
warming,
imperative
selecting
robust,
long-term
drought
monitoring
tools
is
becoming
increasingly
pronounced.
In
this
study,
we
computed
Standardized
Precipitation
Evapotranspiration
Index
(SPEI)
at
both
3-month
and
12-month
temporal
scales,
utilizing
observational
data
from
102
stations
across
Xinjiang
gridded
observations
spanning
China.
Our
objective
encompassed
an
assessment
efficacy
three
widely
employed
meteorological
estimation
datasets
(GMEs)
in
context
over
period
1960–2020.
Moreover,
conducted
in-depth
examination
into
origins
discrepancies
observed
within
these
GMEs.
The
findings
our
analysis
revealed
a
notable
discrepancy
performance
among
GMEs,
with
CRU
ERA5
exhibiting
significantly
superior
compared
to
NCEP-NCAR.
Specifically,
(CC
=
0.78,
RMSE
0.39
northern
Xinjiang)
performed
excellently
capturing
regional
wet–dry
fluctuations
effectively
occurrence
droughts
Xinjiang.
0.46,
0.67
southern
demonstrates
stronger
capability
reflect
dynamics
Furthermore,
adequacy
delineating
spatial
distribution
severity
major
events
varied
different
years
occurrence.
While
displayed
relatively
accurate
simulations
significant
Xinjiang,
all
GMEs
exhibited
substantial
uncertainty
when
characterizing
occurrences
All
overestimation
SPEI
before
1990,
underestimation
value
thereafter,
Discrepancies
potential
evapotranspiration
(PET)
predominantly
drove
disparities
ERA5,
whereas
precipitation
PET
influenced
primary
cause
differences
stemmed
reanalysis
data’s
inability
accurately
simulate
surface
wind
speed
trends.
while
captured
temperature,
precipitation,
trends,
numerical
errors
remained
non-negligible.
These
offer
crucial
insights
for
dataset
selection
research
risk
management
provide
foundational
support
refinement
enhancement
datasets.
Meteorological Applications,
Год журнала:
2025,
Номер
32(2)
Опубликована: Март 1, 2025
Abstract
This
article
pioneers
a
unique
approach
to
examining
generic
dry
spells,
shifting
focus
from
traditional
rain‐free
period
analysis
crop‐centric
perspective
that
integrates
an
anticipatory
lens
inspired
by
Impact‐based
Forecasting
(IbF).
Moving
beyond
analyses
of
periods,
the
evaluates
these
impactful
within‐season
large‐scale
agrometeorologically
relevant
spells
(LARDS)
not
number
days
with
minimal
or
no
rainfall
but
their
impact—specifically,
adequacy
root‐zone
soil
moisture
meet
optimal
requirements
maize
crops,
as
quantified
through
Water
Requirement
Satisfaction
Index
(WRSI).
LARDS
were
identified
in
maize‐intensive
growing
regions
Zimbabwe
under
two
planting
date
scenarios:
meteorology‐guided
and
uninformed.
The
research
characterizes
occurring
at
sub‐seasonal
seasonal
timescales
over
36
years
(1983–2018).
Findings
show
meteorological
guidance
improves
yields
while
neglecting
it
results
lower
yields.
During
LARDS,
distinct
northwest‐to‐southeast
suppressed
pattern
emerges
Zimbabwe,
extending
into
neighbouring
countries.
is
associated
southwestward
northeastward
displacement
Tropical
Temperate
Troughs
(the
regional
primary
system)
relative
country's
location.
Furthermore,
exhibit
overarching
anticyclonic
conditions
impeding
vertical
cloud
development
notable
changes
key
local
mean
climatic
features
influencing
Southern
Africa's
weather.
Specifically,
Mozambique
Channel
Trough,
Angola
Low,
Saint
Helena
High
Mascarene
weaken
anomalously,
Botswana
strengthens
during
LARDS.
Additionally,
we
demonstrate
have
propagation
atmospheric
signatures
indicative
being
triggered
upstream
Rossby
waves
originating
south
coast
South
America.
