Hydrological Processes,
Journal Year:
2024,
Volume and Issue:
38(2)
Published: Feb. 1, 2024
Abstract
The
transit
time
of
precipitation
entering
a
catchment
and
leaving
it
as
streamflow
spatiotemporally
varies
according
to
the
flow
paths
that
takes.
However,
investigating
influences
hydrometeorological
variables
characteristics
on
time‐variable
times
is
challenging
due
complex
water
through
heterogeneous
landscapes.
Recent
studies
investigated
fraction
younger
than
approximately
3
months
(Fyw)
using
multi‐year
data
(long‐term
Fyw)
or
one‐year
calculation
windows
investigate
its
time‐variability
(time‐variable
Fyw).
Nonetheless,
still
unclear
if
inter‐annual
variability
Fyw
hydrological
uncertainty,
no
minimum
series
length
for
long‐term
was
defined
yet.
Here,
we
impact
Fyw,
depending
discharge
nine
river
basins
in
Central
Europe.
All
methods
estimating
led
similar
results,
with
deemed
unreliable
monthly
sampling
interval
isotopes.
Danube
Rhine
had
lowest
(0.06),
medium
(0.20)
were
found
eastern
(e.g.,
Oder),
western
ones
Mosel)
highest
(0.33).
Spatial
analysis
indicated
negative
relationship
between
altitude.
Contradicting
lacking
spatiotemporal
relationships
other
pointed
unknown
influential
factors
controlling
runoff
process.
Using
duration
curves,
low
indicating
old
their
stems
from
large
subsurface
storage.
With
increasing
window
size,
within‐basin
decreased.
Long‐term
depended
method
used
define
‘long‐term’
start
end
date.
We
thus
recommend
future
calculate
facilitate
comparability
different
catchments,
account
this
source
uncertainty.
Further,
more
are
needed
diverse
catchments
impacts
generation
processes.
Water Resources Research,
Journal Year:
2022,
Volume and Issue:
58(11)
Published: Nov. 1, 2022
Abstract
Water
transit
time
is
now
a
standard
measure
in
catchment
hydrological
and
ecohydrological
research.
The
last
comprehensive
review
of
modeling
approaches
was
published
15+
years
ago.
But
since
then
the
field
has
largely
expanded
with
new
data,
theory
applications.
Here,
we
these
developments
focus
on
water‐age‐balance
data‐based
approaches.
We
discuss
compare
methods
including
StorAge‐Selection
functions,
well/partially
mixed
compartments,
water
age
tracking
through
spatially
distributed
models,
direct
estimates
from
controlled
experiments,
young
fractions,
ensemble
hydrograph
separation.
unify
some
heterogeneity
literature
that
crept
many
approaches,
an
attempt
to
clarify
key
differences
similarities
among
them.
Finally,
point
open
questions
research,
what
still
need
theory,
work,
community
practice.
Hydrology and earth system sciences,
Journal Year:
2022,
Volume and Issue:
26(5), P. 1295 - 1318
Published: March 9, 2022
Abstract.
Future
hydrological
behavior
in
a
changing
world
is
typically
predicted
based
on
models
that
are
calibrated
past
observations,
disregarding
systems
and,
therefore,
model
parameters
may
change
as
well.
In
reality,
experience
almost
continuous
over
wide
spectrum
of
temporal
and
spatial
scales.
particular,
there
growing
evidence
vegetation
adapts
to
climatic
conditions
by
adjusting
its
root
zone
storage
capacity,
which
the
key
parameter
any
terrestrial
system.
addition,
other
species
become
dominant,
both
under
natural
anthropogenic
influence.
this
study,
we
test
sensitivity
predictions
changes
reflect
ecosystem
adaptation
climate
potential
land
use
changes.
We
propose
top-down
approach,
directly
uses
projected
data
estimate
how
capacity
at
catchment
scale
response
magnitude
seasonality
hydro-climatic
variables.
Additionally,
long-term
water
balance
characteristics
different
dominant
ecosystems
used
predict
future
space-for-time
exchange.
hypothesize
result
2
K
global
warming
more
pronounced
when
explicitly
considering
subsurface
system
properties
induced
environmental
conditions.
our
hypothesis
Meuse
basin
four
scenarios
designed
comparison
current-day
conditions,
using
process-based
with
(a)
stationary
system,
i.e.,
no
assumed
historical
use,
(b)
an
adapted
but
(c,
d)
two
hypothetical
use.
found
larger
capacities
(+34
%)
warmer
summers
strong
seasonal
response.
More
specifically,
streamflow
groundwater
up
−15
%
−10
lower
autumn,
respectively,
due
+14
higher
summer
evaporation
non-stationary
compared
benchmark
scenario.
By
integrating
time-dynamic
representation
models,
make
step
towards
reliable
change.
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(10), P. 2313 - 2328
Published: May 31, 2024
Abstract.
Vegetation
plays
a
crucial
role
in
regulating
the
water
cycle
through
transpiration,
which
is
flux
from
subsurface
to
atmosphere
via
roots.
The
amount
and
timing
of
transpiration
controlled
by
interplay
seasonal
energy
supply.
latter
strongly
depends
on
size
root
zone
storage
capacity
(Sr),
represents
maximum
accessible
volume
that
vegetation
can
use
for
transpiration.
Sr
primarily
influenced
hydroclimatic
conditions,
as
optimizes
its
system
such
way
it
guarantees
uptake
overcomes
dry
periods.
estimates
are
commonly
derived
deficits
result
phase
shift
between
signals
inflow
(i.e.,
precipitation)
outflow
evaporation).
In
irrigated
croplands,
irrigation
serves
an
additional
input
into
zone.
However,
this
aspect
has
been
ignored
many
studies,
extent
influences
never
comprehensively
quantified.
study,
our
objective
quantify
influence
identify
regional
differences
therein.
To
end,
we
integrated
two
methods,
based
respective
area
fractions,
estimation.
We
evaluated
effects
compared
with
do
not
consider
sample
4856
catchments
globally
varying
degrees
activity.
Our
results
show
consistently
decreased
when
considering
irrigation,
larger
effect
area.
For
fraction
exceeding
10
%,
median
decrease
was
19
23
mm
corresponding
decreases
12
%
15
respectively.
most
tropical
climates.
relative
largest
temperate
demonstrate,
first
time,
considerable
over
croplands.
This
strong
snowmelt
have
previously
documented
precipitation
falling
snow.
Water Resources Research,
Journal Year:
2023,
Volume and Issue:
59(11)
Published: Oct. 27, 2023
Abstract
Rainfall‐runoff
models
are
commonly
evaluated
against
statistical
evaluation
metrics.
However,
these
metrics
do
not
provide
much
insight
into
what
is
hydrologically
wrong
if
a
model
fails
to
simulate
observed
streamflow
well
and
they
also
applicable
for
ungauged
catchments.
Here,
we
propose
signature‐based
hydrologic
efficiency
(SHE)
metric
by
replacing
the
components
of
current
with
signatures
that
can
be
regionalized
in
We
test
our
new
across
633
catchments
from
Great
Britain.
Strong
correlations
Spearman
rank
Pearson
correlation
values
around
0.8
found
between
proposed
used
(NSE,
KGE,
NP)
demonstrating
SHE
related
existing
as
each
other.
For
catchments,
regionalize
three
included
find
78%
have
an
absolute
difference
gauged
cases
less
than
0.2.
This
varies
depending
on
quality
bias
variance
signature
values.
It
means
its
well.
When
applying
other
domains
different
properties,
modellers
should
carefully
consider
best
suited
their
research
regionalization
potential.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(3)
Published: March 1, 2024
Abstract
The
water
storage
capacity
of
the
root
zone
can
determine
whether
plants
survive
dry
periods
and
control
partitioning
precipitation
into
streamflow
evapotranspiration.
It
is
currently
thought
that
top‐down,
climatic
factors
are
primary
on
this
via
their
interaction
with
plant
rooting
adaptations.
However,
it
remains
unclear
to
what
extent
bottom‐up,
geologic
provide
an
additional
constraint
capacity.
Here
we
use
a
machine
learning
approach
identify
regions
lower
than
climatically
expected
apparent
We
find
in
seasonally
California
these
overlap
particular
substrates.
hypothesize
patterns
reflect
diverse
mechanisms
by
which
substrate
limit
capacity,
highlight
case
studies
consistent
limited
weathered
bedrock
(melange
Northern
Coast
Range),
toxicity
(ultramafic
substrates
Klamath‐Siskiyou
region),
nutrient
limitation
(phosphorus‐poor
plutons
southern
Sierra
Nevada),
low
porosity
capable
retaining
(volcanic
formations
Cascades).
observation
at
regional
scales
climate
alone
does
not
“size”
has
implications
for
parameterization
models
dynamics
(and
interrelated
carbon
cycles),
also
underscores
importance
geology
considerations
climate‐change
induced
biome
migration
habitat
suitability.
Hydrology and earth system sciences,
Journal Year:
2023,
Volume and Issue:
27(16), P. 3083 - 3114
Published: Aug. 24, 2023
Abstract.
Stable
isotopes
(δ18O)
and
tritium
(3H)
are
frequently
used
as
tracers
in
environmental
sciences
to
estimate
age
distributions
of
water.
However,
it
has
previously
been
argued
that
seasonally
variable
tracers,
such
δ18O,
generally
systematically
fail
detect
the
tails
water
therefore
substantially
underestimate
ages
compared
radioactive
3H.
In
this
study
for
Neckar
River
basin
central
Europe
based
on
a
>20-year
record
hydrological,
δ18O
3H
data,
we
scrutinized
above
postulate
together
with
potential
role
spatial
aggregation
effects
exacerbating
underestimation
ages.
This
was
done
by
comparing
inferred
from
total
21
different
model
implementations,
including
time-invariant,
lumped-parameter
sine-wave
(SW)
convolution
integral
(CO)
models
well
StorAge
Selection
(SAS)-function
(P-SAS)
integrated
hydrological
combination
SAS
functions
(IM-SAS).
We
found
that,
indeed,
commonly
SW
CO
mean
transit
times
(MTTs)
∼
1–2
years
lower
than
those
obtained
same
models,
reaching
MTTs
∼10
years.
contrast,
several
implementations
P-SAS
IM-SAS
not
only
allowed
simultaneous
representations
storage
variations
streamflow
stream
signals,
but
these
were,
11–17
years,
also
much
higher
similar
3H,
which
suggested
11–13
Characterized
parameter
posterior
distributions,
particular
parameters
control
age,
individually
constrained
or
observations
exhibited
limited
differences
magnitudes
parts
temporal
variability
time
(TTDs)
response
changing
wetness
conditions.
suggests
both
lead
comparable
descriptions
how
is
routed
through
system.
These
findings
provide
evidence
us
reject
hypothesis
tracer
“cannot
see
older
about
4
years”
truncates
corresponding
leading
underestimations
Instead,
our
results
broad
equivalence
systems
characterized
at
least
15–20
The
question
degree
heterogeneity
can
further
adversely
affect
estimates
remains
unresolved
lumped
distributed
provided
inconclusive
results.
Overall,
demonstrates
reported
most
likely
result
use
other
per
se.
Rather,
largely
be
attributed
choices
approaches
complexity
considering
transient
conditions
next
aspects.
Given
additional
vulnerability
due
potentially
still
unknown
effects,
advocate
avoiding
type
if
possible
instead
adopting
SAS-based
time-variant
formulations
models.
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(19), P. 4477 - 4499
Published: Oct. 14, 2024
Abstract.
The
root
zone
is
a
vital
part
of
the
Earth
system
and
key
element
in
hydrology,
ecology,
agronomy,
land
surface
processes.
However,
its
definition
varies
across
disciplines,
creating
barriers
to
interdisciplinary
understanding.
Moreover,
characterizing
challenging
due
lack
consensus
on
definitions,
estimation
methods,
their
merits
limitations.
This
opinion
paper
provides
holistic
from
hydrology
perspective,
including
moisture
storage,
deficit,
storage
capacity.
We
demonstrate
that
plays
critical
role
biosphere,
pedosphere,
rhizosphere,
lithosphere,
atmosphere,
cryosphere
system.
underscore
limitations
traditional
reductionist
approach
modelling
this
complex
dynamic
advocate
for
shift
towards
holistic,
ecosystem-centred
approach.
argue
offers
more
systematic,
simple,
dynamic,
scalable,
observable
way
describe
predict
science.
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(17), P. 4011 - 4033
Published: Sept. 3, 2024
Abstract.
Climatic
variability
can
considerably
affect
catchment-scale
root
zone
storage
capacity
(Sumax),
which
is
a
critical
factor
regulating
latent
heat
fluxes
and
thus
the
moisture
exchange
between
land
atmosphere
as
well
hydrological
response
biogeochemical
processes
in
terrestrial
systems.
However,
direct
quantification
of
changes
Sumax
over
long
time
periods
mechanistic
drivers
thereof
at
catchment
scale
are
missing
so
far.
As
consequence,
it
remains
unclear
how
climatic
variability,
such
precipitation
regime
or
canopy
water
demand,
affects
fluctuations
may
influence
partitioning
therefore
also
scale.
Based
on
long-term
daily
records
(1953–2022)
upper
Neckar
River
basin
Germany,
we
found
that
hydro-climatic
conditions,
with
an
aridity
index
IA
(i.e.
EP/P)
ranging
∼
0.9
1.1
multiple
consecutive
20-year
periods,
was
accompanied
by
deviations
ΔIE
−0.02
0.01
from
expected
IE
inferred
parametric
Budyko
curve.
Similarly,
Sumax,
95
115
mm
20
%,
were
observed
same
period.
While
uncorrelated
mean
potential
evaporation,
shown
magnitude
controlled
ratio
winter
to
summer
(p
<
0.05).
In
other
words,
study
region
does
not
depend
overall
wetness
condition
for
example
expressed
IA,
but
rather
supply
distributed
year.
be
ΔIE.
Consequently,
replacing
average,
time-invariant
estimate
time-variable,
dynamically
changing
formulation
parameter
model
did
result
improved
representation
fluxes,
(and
thereof),
shorter-term
dynamics.
Overall,
this
provides
quantitative
evidence
significantly
decades,
reflecting
vegetation
adaptation
variability.
temporal
evolution
cannot
explain
heat)
curve
different
conditions.
have
any
significant
effects
characteristics
catchment.
This
further
suggests
accounting
time-variable
improve
its
ability
reproduce
minor
importance
predicting
climate
next
decades
come.