Seasonal meteorological forcing controls runoff generation at multiple scales in a Mediterranean forested mountain catchment
Journal of Hydrology,
Год журнала:
2024,
Номер
639, С. 131642 - 131642
Опубликована: Июль 1, 2024
Язык: Английский
A recipe for why and how to set up and sustain an experimental catchment
Hydrological Processes,
Год журнала:
2024,
Номер
38(5)
Опубликована: Май 1, 2024
Abstract
Experimental
catchments
are
fundamental
elements
in
hydrological
sciences
as
they
provide
key
data
for
putting
forward
and
testing
hypotheses,
developing
theories,
constraining
models,
making
predictions.
Significant
progress
catchment
hydrology
stemmed
from
field
measurements
but
increasing
costs
risks
associated
with
work
the
availability
of
big
based
on
remote
sensing,
machine
learning,
a
plethora
well
observations
deriving
previous
current
sites,
raises
questions
whether
running
an
experimental
still
provides
individual
community
benefits
past.
In
this
commentary,
I
highlight
advantages
keeping
alive
propose
personal
10‐step
“recipe”
to
set
up
new
manage
sustain
it
long
term.
These
suggestions
can
be
useful
both
young
less
researchers
who
open
facing
challenge
measuring
processes
willing
offer
scientific
evidence
advancing
our
knowledge
hydrology.
Язык: Английский
Testing Soil Moisture Performance Measures in the Conceptual‐Functional Equivalent to the WRF‐Hydro National Water Model
JAWRA Journal of the American Water Resources Association,
Год журнала:
2025,
Номер
61(1)
Опубликована: Фев. 1, 2025
ABSTRACT
The
Conceptual‐Functional
Equivalent
(CFE)
to
the
National
Water
Model
(NWM)
serves
as
a
baseline
rainfall‐runoff
model
in
Oceanic
and
Atmospheric
Administration
(NOAA)'s
Next
Generation
Framework
(NextGen).
CFE
performs
similarly
earlier
version
of
NWM,
allowing
comparisons
with
new
models
introduced
future
versions.
In
addition
streamflow,
NWM
outputs
other
hydrologic
variables
including
soil
moisture.
Soil
moisture
plays
key
role
simulating
seasonal
processes
process‐based
models;
therefore,
it
is
imperative
evaluate
against
observed
data.
However,
incorporating
situ
data,
which
highly
spatially
variable,
into
calibration
process
may
compromise
streamflow
results.
We
investigate
how
evaluation,
observations,
affects
CFE's
ability
reproduce
evaluated
on
two
experimental
watersheds
using
both
traditional
signature‐based
performance
metrics
for
Results
showed
that
data
enhances
reproducibility
overall
patterns
without
sacrificing
streamflow.
Calibration
alone
was
insufficient
patterns.
recommend
when
available
improve
predictions.
Язык: Английский
Does afforestation increase soil water buffering? A demonstrator study on soil moisture variability in the Alpine Geroldsbach catchment, Austria
Journal of Hydrology,
Год журнала:
2024,
Номер
unknown, С. 131984 - 131984
Опубликована: Сен. 1, 2024
Язык: Английский
Accuracy of ASCAT-DIREX Soil Moisture Mapping in a Small Alpine Catchment
Water,
Год журнала:
2024,
Номер
17(1), С. 49 - 49
Опубликована: Дек. 28, 2024
Recent
improvements
in
soil
moisture
mapping
using
satellites
provide
estimates
at
higher
spatial
and
temporal
resolutions.
The
accuracy
alpine
regions
is,
however,
still
not
well
understood.
main
objective
of
this
study
is
to
evaluate
the
experimental
ASCAT-DIREX
product
a
small
catchment
identify
factors
that
control
agreement
between
satellite
situ
observations
open
forest
sites.
analysis
carried
out
mountain
Jalovecký
Creek,
situated
Western
Tatra
Mountains
(Slovakia).
are
derived
by
merging
ASCAT
Sentinel-1
retrievals
(the
dataset),
providing
relative
daily
500
m
resolution
period
2012–2019.
water
represent
four
characteristic
timescales
1,
2,
5,
10
days,
which
compared
with
topsoil
observations.
results
show
correlation
satellite-derived
larger
site
for
(10
days).
correlations
have
strong
seasonal
pattern,
showing
low
(negative)
winter
spring
(more
than
0.5)
summer
autumn.
reason
insufficient
masking
snowpack.
Using
local
snow
data
masks
retrieval
December–March,
improves
April
was
improved
from
negative
0.68
0.92
site.
Low
months
may
also
be
due
small-scale
precipitation
variability
vegetation
dynamics
mapping,
result
overestimation.
Язык: Английский