Abstract.
This
paper
presents
the
tran-SAS
package,
which
includes
a
set
of
codes
to
model
solute
transport
and
water
residence
times
through
hydrological
system.
The
is
based
on
catchment-scale
approach
that
aims
at
reproducing
integrated
response
system
one
its
outlets.
are
implemented
in
MATLAB
meant
be
easy
edit,
so
users
with
minimal
programming
knowledge
can
adapt
them
desired
application.
problem
large-scale
has
both
theoretical
practical
implications.
On
side,
ability
represent
ensemble
flow
trajectories
heterogeneous
helps
unraveling
streamflow
generation
processes
allows
making
inferences
plant-water
interactions.
other
models
tool
used
estimate
persistence
solutes
environment.
core
package
implementation
an
age
Master
Equation
(ME),
solved
using
general
StorAge
Selection
(SAS)
functions.
ME
first
converted
into
ordinary
differential
equations,
each
addressing
individual
precipitation
input
catchment,
then
it
discretized
explicit
numerical
scheme.
Results
show
efficient
run
short
times.
accuracy
critically
evaluated
shown
satisfactory
most
cases
hydrologic
interest.
Additionally,
higher-order
provided
within
evaluate
and,
if
necessary,
improve
results.
concentration,
but
number
additional
outputs
obtained
by
editing
further
advance
understand
catchment
processes.
International Journal of Remote Sensing,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 29
Published: Dec. 4, 2024
The
Gravity
Recovery
and
Climate
Experiment
(GRACE)
GRACE
Follow-On
(GRACE-FO)
data
have
been
widely
used
to
monitor
analyze
extreme
hydrological
events
globally.
However,
their
coarse
spatial
resolution
limits
application
in
small-
medium-scale
regions.
In
this
study,
we
proposed
a
partitioned
random
forest
downscaling
(PRFD)
strategy
improve
the
of
GRACE/GRACE-FO
quantitatively
assessed
performance
using
closed-loop
simulation
experiment.
Our
enhanced
approach
improved
from
1°to
0.1°,
downscaled
were
characterize
2022
drought
Yangtze
River
basin
(YRB),
with
particular
on
smaller
(i.e.
Wu
basin,
WRB).
findings
show
that
PRFD
reduced
root
mean
square
error
by
39.29%
compared
traditional
over
RF
(ORFD),
27.8%
grid
points
showed
significantly
accuracy
improvements.
results
provided
more
detailed
depiction
YRB,
allowing
for
precision
identification
onset,
extent
severity,
accurate
assessment
impacts
WRB.
originated
northern
WRB,
gradually
extending
southward
across
severe
conditions
north
than
south.
High
temperatures
low
precipitation
primary
drives,
while
elevated
high
human
water
use
also
contributed.
This
study
provides
valuable
technique
understanding
regional-scale
areas.
Abstract.
This
paper
presents
the
tran-SAS
package,
which
includes
a
set
of
codes
to
model
solute
transport
and
water
residence
times
through
hydrological
system.
The
is
based
on
catchment-scale
approach
that
aims
at
reproducing
integrated
response
system
one
its
outlets.
are
implemented
in
MATLAB
meant
be
easy
edit,
so
users
with
minimal
programming
knowledge
can
adapt
them
desired
application.
problem
large-scale
has
both
theoretical
practical
implications.
On
side,
ability
represent
ensemble
flow
trajectories
heterogeneous
helps
unraveling
streamflow
generation
processes
allows
making
inferences
plant-water
interactions.
other
models
tool
used
estimate
persistence
solutes
environment.
core
package
implementation
an
age
Master
Equation
(ME),
solved
using
general
StorAge
Selection
(SAS)
functions.
ME
first
converted
into
ordinary
differential
equations,
each
addressing
individual
precipitation
input
catchment,
then
it
discretized
explicit
numerical
scheme.
Results
show
efficient
run
short
times.
accuracy
critically
evaluated
shown
satisfactory
most
cases
hydrologic
interest.
Additionally,
higher-order
provided
within
evaluate
and,
if
necessary,
improve
results.
concentration,
but
number
additional
outputs
obtained
by
editing
further
advance
understand
catchment
processes.
