Assessing
drought
characteristics
and
its
evolution
patterns
in
the
Yangtze
River
Basin
(YRB)
holds
significant
implications
for
understanding
distribution
variability
of
water
resources
basin.
This
study
employs
a
statistical
downscaling
method
based
on
principle
balance
to
enhance
spatial
resolution
terrestrial
storage
anomaly
(TWSA)
estimations
derived
from
Gravity
Recovery
Climate
Experiment
(GRACE)
into
0.1°.
Utilizing
downscaled
data,
we
establish
high-precision
indices
including
Water
Storage
Deficit
(WSD)
Index
(WSDI).
Furthermore,
dispersion
rate
area
(DRDA)
average
WSDI
(WSDIDA)
are
defined
access
extent
impact
severity
drought-affected
areas.
These
indicators
enable
identification
analysis
spatiotemporal
YRB
April
2002
September
2021.
The
main
innovation
results
as
follows.
(1)
Compared
with
PCR-GLOBWB
model,
our
dataset
presents
excellent
applicability
detecting
regional
within
YRB.
majority
test
sampling
points
demonstrated
an
increase
correlation
coefficient
reference
data
by
approximately
0.15-0.2
compared
premise.
(2)
During
period,
experienced
9
basin-wide
events,
most
severe
event
lasting
18
months
total
WSD
nearly
550
mm.
Over
90%
basin
suffered
varying
degrees
this
event.
(3)
In
case
no
trend
observed
WSDIDA,
DRDA
is
shrinking
at
2.54%
per
year.
Drought
conditions
sub-basins
have
been
effectively
alleviated,
evidenced
increasing
WSDI.
(4)
Jinsha
Han
maintain
high
annual
frequency
(ADF),
their
DRDA,
Annual
Duration
(ADD)
Severity
(ADS)
show
trends,
indicating
that
entire
gradually
concentrating
these
two
sub-basins.
Our
new
GRACE
proposed
promising
application
prospects
assessing
local
basin,
providing
robust
support
prevention
scheduling
decision-making
region.
Geophysical Research Letters,
Journal Year:
2025,
Volume and Issue:
52(9)
Published: May 2, 2025
Abstract
Relatively
short
records
of
Total
Water
Storage
Anomalies
(TWSA)
from
the
Gravity
Recovery
and
Climate
Experiment
(GRACE)
its
Follow‐On
(GRACE‐FO)
missions
have
impeded
our
understanding
their
full
range
long‐term
variability
over
Lake
Victoria
Basin
(LVB).
This
study
introduces
an
Enhanced
RecNet
(ERecNet)
to
reconstruct
LVB's
TWSA
1971
2022
using
precipitation
Victoria's
level
data.
ERecNet
integrates
a
multi‐layer
perceptron
combination
gridded
basin‐averaged
loss
functions
for
improving
reconstruction
performance.
Our
results
reveal
that
can
successfully
variations,
outperforming
hydrological
models
reanalysis
products
in
capturing
trends
amplitudes.
The
aligns
closely
with
lake
patterns
while
effectively
closing
water
balance
budget.
provides
first
both
human‐
climate‐driven
data
LVB,
offering
valuable
insights
into
variability.
Water,
Journal Year:
2024,
Volume and Issue:
16(11), P. 1502 - 1502
Published: May 24, 2024
The
Yangtze
River
Basin
experienced
a
once-in-a-century
extreme
drought
in
2022
due
to
weather,
which
had
serious
impact
on
the
local
agricultural
production
and
ecological
environment.
In
order
investigate
spatial
distribution
occurrence
of
events,
this
study
used
multi-source
remote
sensing
data
monitor
events
2022.
study,
gravity
satellite
product
CSR_Mascon
was
calculate
GRACE
Drought
Intensity
Index
(GRACE-DSI),
analyzed
compared
with
commonly
meteorological
indices,
relative
soil
humidity,
water
content
data.
results
show
that
(1)
terrestrial
storage
change
can
well
reflect
Basin.
Throughout
year,
average
from
January
June
is
higher
than
value
33.47
mm,
July
December
lower
48.17
mm;
(2)
GRACE-DSI
responded
intensity
region
From
point
view
area,
showed
trend
increasing
first,
then
decreasing
area
different
levels
drought,
range
reached
maximum
September
175.87
km2,
accounted
for
97.71
per
cent
total
area;
at
same
time,
largest,
an
85.69
km2;
(3)
temporal
variations
indices
were
correlated,
correlation
coefficients
above
0.750,
among
coefficient
SPEI-3
0.937;
(4)
moisture
humidity
products
CLDAS,
combined
GLDAS,
starting
ending
times
well,
using
information
actual
stations.
conclusion,
data,
synergy
multiple
sources,
help
decision
makers
better
understand
respond
drought.
Assessing
drought
characteristics
and
its
evolution
patterns
in
the
Yangtze
River
Basin
(YRB)
holds
significant
implications
for
understanding
distribution
variability
of
water
resources
basin.
This
study
employs
a
statistical
downscaling
method
based
on
principle
balance
to
enhance
spatial
resolution
terrestrial
storage
anomaly
(TWSA)
estimations
derived
from
Gravity
Recovery
Climate
Experiment
(GRACE)
into
0.1°.
Utilizing
downscaled
data,
we
establish
high-precision
indices
including
Water
Storage
Deficit
(WSD)
Index
(WSDI).
Furthermore,
dispersion
rate
area
(DRDA)
average
WSDI
(WSDIDA)
are
defined
access
extent
impact
severity
drought-affected
areas.
These
indicators
enable
identification
analysis
spatiotemporal
YRB
April
2002
September
2021.
The
main
innovation
results
as
follows.
(1)
Compared
with
PCR-GLOBWB
model,
our
dataset
presents
excellent
applicability
detecting
regional
within
YRB.
majority
test
sampling
points
demonstrated
an
increase
correlation
coefficient
reference
data
by
approximately
0.15-0.2
compared
premise.
(2)
During
period,
experienced
9
basin-wide
events,
most
severe
event
lasting
18
months
total
WSD
nearly
550
mm.
Over
90%
basin
suffered
varying
degrees
this
event.
(3)
In
case
no
trend
observed
WSDIDA,
DRDA
is
shrinking
at
2.54%
per
year.
Drought
conditions
sub-basins
have
been
effectively
alleviated,
evidenced
increasing
WSDI.
(4)
Jinsha
Han
maintain
high
annual
frequency
(ADF),
their
DRDA,
Annual
Duration
(ADD)
Severity
(ADS)
show
trends,
indicating
that
entire
gradually
concentrating
these
two
sub-basins.
Our
new
GRACE
proposed
promising
application
prospects
assessing
local
basin,
providing
robust
support
prevention
scheduling
decision-making
region.
