A
variety
of
watershed
responses
to
climate
change
are
expected
due
non-linear
interactions
between
various
hydrologic
processes
acting
at
different
timescales
that
modulated
by
properties.
Changes
in
statistical
structure
(spectral
properties)
streamflow
the
USA
were
studied
for
water
years
1980-2013.
The
Fractionally
differenced
Autoregressive
Integrated
Moving
Average
(FARIMA)
model
was
fit
deseasonalized
time-series
its
structure.
FARIMA
allows
separation
into
low
frequency
(slowly
varying)
and
high
(fast
components.
Results
show
snow
dominated
watersheds,
contribution
components
total
variance
has
decreased
over
study
period,
increased.
watersheds
primarily
driven
changes
rainfall
statistics
equivalent
but
also
seasonal
temperature
statistics.
Among
rain-driven
generally
increased
arid
regions
humid
regions.
In
both
increasing
winter
responsible
regimes.
These
results
have
consequences
predictability
presence
change.
We
expect
component
will
result
poorer
streamflow.
Water Resources Research,
Journal Year:
2023,
Volume and Issue:
59(7)
Published: July 1, 2023
Abstract
Streamflow
prediction
in
ungauged
basins
(PUB)
is
challenging,
and
Long
Short‐Term
Memory
(LSTM)
widely
used
to
for
such
predictions,
owing
its
excellent
migration
performance.
Traditional
LSTM
forced
by
meteorological
data
catchment
attribute
barely
highlight
the
optimum
integration
strategy
from
data‐rich
ones.
In
this
study,
we
experimented
with
1,897
global
catchments
found
that
LSTM‐corrected
Global
Hydrological
Models
(GHMs)
outperformed
uncorrected
GHMs,
improving
median
Nash‐Sutcliff
efficiency
(NSE)
0.03
0.66.
Notably,
there
was
a
large
gap
between
traditional
modeling
autoregressive
basins,
GHM‐forced
were
an
effective
way
close
basins.
The
spatial
heterogeneity
of
performance
mainly
influenced
three
metrics
(dryness,
leaf
area
index
latitude),
which
described
hydrological
similarity
among
catchments.
Weaker
continental
results
larger
variability
LSTM,
best
Siberia
(NSE,
0.54)
worst
North
America
0.10).
However,
significantly
improved
0.63)
when
considered.
This
study
stressed
advantages
due
significance
should
be
attached
similarities
improve
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(4)
Published: April 1, 2025
Abstract
Forest
thinning
and
prescribed
fire
are
expected
to
improve
the
climate
resilience
water
security
of
forests
in
western
U.S.,
but
few
studies
have
directly
modeled
hydrological
effects
multi‐decadal
landscape‐scale
forest
disturbance.
By
updating
a
distributed
process‐based
model
(DHSVM)
with
vegetation
maps
from
ecosystem
(LANDIS‐II),
we
simulate
resource
impacts
management
scenarios
targeting
partial
or
full
restoration
pre‐colonial
disturbance
return
interval
central
Sierra
Nevada
mountains.
In
fully
restored
regime
that
includes
fire,
thinning,
insect
mortality,
reservoir
inflow
increases
by
4%–9%
total
8%–14%
dry
years.
At
sub‐watershed
scales
(10–100
km
2
),
dense
can
increase
streamflow
>20%
thinner
forest,
increased
understory
transpiration
compensates
for
decreased
overstory
transpiration.
Consequentially,
73%
gains
attributable
rain
snow
interception
loss.
Thinner
headwater
peak
flows,
reservoir‐scale
flows
almost
exclusively
influenced
climate.
Uncertainty
future
precipitation
causes
high
uncertainty
yield,
additional
yield
is
about
five
times
less
sensitive
annual
uncertainty.
This
decoupling
response
makes
especially
valuable
supply
during
Our
study
confidence
benefits
restoring
historic
frequencies
mountains,
our
modeling
framework
widely
applicable
other
forested
mountain
landscapes.
The Science of The Total Environment,
Journal Year:
2023,
Volume and Issue:
880, P. 163260 - 163260
Published: April 6, 2023
Insect
outbreaks
affect
forest
structure
and
function
represent
a
major
category
of
disturbance
globally.
However,
the
resulting
impacts
on
evapotranspiration
(ET),
especially
hydrological
partitioning
between
abiotic
(evaporation)
biotic
(transpiration)
components
total
ET,
are
not
well
constrained.
As
result,
we
combined
remote
sensing,
eddy
covariance,
modeling
approaches
to
determine
effects
bark
beetle
outbreak
ET
its
at
multiple
scales
throughout
Southern
Rocky
Mountain
Ecoregion
(SRME),
USA.
At
covariance
measurement
scale,
85
%
was
affected
by
beetles,
water
year
as
fraction
precipitation
(P)
decreased
30
relative
control
site,
with
31
greater
reductions
in
growing
season
transpiration
ET.
ecoregion
satellite
sensing
masked
areas
>80
tree
mortality
showed
corresponding
ET/P
9-15
that
occurred
6-8
years
post-disturbance,
indicated
majority
reduction
during
season;
Variable
Infiltration
Capacity
model
an
associated
9-18
increase
runoff
ratio.
Long-term
(16-18
year)
vegetation
datasets
extend
length
previously
published
analyses
allowed
for
clear
characterization
recovery
period.
During
time,
outpaced
recovery,
which
lagged
part
due
persistently
reduced
winter
sublimation,
there
evidence
increasing
late
summer
moisture
stress.
Overall,
comparison
three
independent
methods
two
demonstrated
net
negative
impact
beetles
relatively
transpiration,
following
SRME.
Journal of Hydrology,
Journal Year:
2024,
Volume and Issue:
641, P. 131834 - 131834
Published: Aug. 13, 2024
Accurately
characterizing
the
spatial
variability
of
tension
water
storage
capacity
(TWC)
within
a
catchment
is
challenging
due
to
limited
in-situ
hydrologic
data
availability.
Conventional
conceptual
rainfall-runoff
models
typically
rely
on
an
empirically
specified
TWC
distribution.
However,
this
empirical
distribution
lacks
physical
foundation
and
fails
effectively
redistribute
critical
components,
such
as
local
contributing
area,
real-world
contexts.
To
overcome
limitation,
topographic
wetness
index
(TWI)
its
generalized
form
(GTWI)
are
introduced
bridge
information
with
components.
Four
curves
contrived
based
parabolic
distribution,
linear
TWI,
GTWI,
respectively.
The
effects
these
alternate
distributions
streamflow
investigated
framework
HYdrologic
MODel
(HYMOD)
across
460
Australian
catchments.
results
illustrate
that
GTWI-based
HYMOD
(GTHYMOD)
outperforms
other
in
terms
daily
streamflow,
high
Kling-Gupta
Efficiency
(KGE)
attained
74.8%
study
catchments
during
validation
period.
eastern
coast
presents
superior
performance
compared
western
coast.
GTHYMOD
demonstrates
superiority
variability,
aspect
lacked.
This
has
potential
refine
from
perspective
advance
our
comprehension
underlying
behaviors.
Journal of Geophysical Research Atmospheres,
Journal Year:
2024,
Volume and Issue:
129(9)
Published: April 25, 2024
Abstract
Terrestrial
hydrology
is
altered
by
fires,
particularly
in
snow‐dominated
catchments.
However,
fire
impacts
on
catchment
are
often
neglected
from
land
surface
model
(LSM)
simulations.
Western
U.S.
wildfire
activity
has
been
increasing
recent
decades
and
projected
to
continue
over
at
least
the
next
three
decades,
thus
it
important
evaluate
if
neglecting
operational
models
(LSMs)
a
significant
error
source
that
noticeable
signal
among
other
sources
of
uncertainty.
We
widely
used
state‐of‐the‐art
LSM
(Noah‐MP)
runoff
snowpack
simulations
two
representative
fire‐affected
catchments
Pacific
Northwest:
Andrew's
Creek
Washington
Johnson
Idaho.
These
selected
across
all
western
because
they
experienced
more
than
50%
burning
single
event
with
minimal
outside
this
event,
which
allows
analyses
distinct
pre‐
post‐fire
periods.
There
statistically
shifts
skills
pre‐to
years
simulating
snowpack.
At
both
study
catchments,
miss
enhancements
early‐spring
annual
efficiency
during
years,
resulting
persistent
underestimates
anomalies
throughout
12‐year
analysis
Enhanced
snow
accumulation
melt
contributes
observed
but
unmodeled
increases
spring
these
Informing
satellite
cover
classifications,
leaf
area
index,
green
fraction
do
not
consistently
improve
ability
simulate
hydrologic
responses
disturbances.
Abstract.
With
the
booming
big
data
techniques,
large-sample
hydrological
analysis
on
streamflow
regime
is
becoming
feasible,
which
could
derive
robust
conclusions
processes
from
a
big-picture
perspective.
However,
there
not
comprehensive
global
dataset
for
components
of
yet.
This
paper
presents
new
time
series
indices
calculated
daily
records
after
quality
control.
The
contains
79
over
seven
major
(i.e.,
magnitude,
frequency,
duration,
changing
rate,
timing,
variability,
and
recession)
5548
river
reaches
globally.
in
are
available
until
2021,
lengths
vary
30
to
215
years
with
an
average
around
66
years.
Restricted-access
typical
basins
China
included
dataset.
Compared
existing
datasets,
this
covers
more
indices,
especially
those
characterizing
recession
regime.
dataset,
research
will
become
easier
without
spending
handling
raw
records.
be
valuable
resource
hydrology
community
facilitate
wide
range
studies,
such
as
studies
behaviour
catchment,
prediction
data-scarce
regions,
well
variations
Earth system science data,
Journal Year:
2023,
Volume and Issue:
15(10), P. 4463 - 4479
Published: Oct. 6, 2023
Abstract.
With
the
booming
big
data
techniques,
large-sample
hydrological
analysis
on
streamflow
regime
is
becoming
feasible,
which
could
derive
robust
conclusions
processes
from
a
big-picture
perspective.
However,
there
lack
of
comprehensive
global
dataset
for
components
yet.
This
paper
presents
new
time
series
indices
calculated
daily
records
after
quality
control.
The
contains
79
over
seven
major
(i.e.,
magnitude,
frequency,
duration,
changing
rate,
timing,
variability,
and
recession)
41
263
river
reaches
globally
yearly
multiyear
scales.
Streamflow
values
until
2022
are
covered
in
dataset.
Time
span
1806
to
with
an
average
length
36
years.
Compared
existing
datasets,
this
covers
more
stations
indices,
especially
those
characterizing
recession
regime.
dataset,
research
will
become
easier
without
spending
handling
raw
records.
be
valuable
resource
hydrology
community
facilitate
wide
range
studies,
such
as
studies
behaviour
catchment,
prediction
data-scarce
regions,
well
variations
can
accessed
at
https://doi.org/10.57760/sciencedb.07227
(Chen
et
al.,
2023a).
Journal of Hydrology Regional Studies,
Journal Year:
2024,
Volume and Issue:
53, P. 101762 - 101762
Published: April 5, 2024
Sierra
Nevada
Snow
dominated
forests
serve
as
source
water
supplies
to
much
of
the
western
United
States.
In
recent
years,
these
have
experienced
an
increase
in
both
drought
and
wildfire,
which
threaten
critical
resources.
By
reducing
forest
density,
treatments
offer
a
promising
solution
fuel
loads
potentially
increasing
surface
yield.
However,
amount
load
reduction
necessary
produce
change
yield
is
not
well-characterized.
The
objectives
current
study
are
to:
1)
calibrate
distributed
parameter,
fully-integrated
physically-based
hydrologic
model
available
watershed
data
evaluate
predicted
changes
for
range
treatment
scenarios
heavily
forested
experimental
basin
(Sagehen
Creek
near
Truckee,
California,
USA),
2)
determine
extent
(threshold)
substantial
changes,
i.e.
25%
increase,
runoff.
Using
DHI's
physically-distributed
code,
MIKESHE,
develop
Sagehen
Basin,
twenty
with
varying
canopy
density
reductions
(CDRs)
areas
were
simulated
five-year
period.
Statistical
testing
showed
that
significant
runoff
occurred
every
developed
scenario
at
annual
scale
(99%
confidence
interval).
Surface
highly
correlated
precipitation
patterns,
however,
compounding
effect
over
years
has
more
dramatic
response
higher
intensities.
Increasing
CDR
was
effective
than
area.
Results
suggest
managers
implement
treatments,
depends
on:
degree
implemented
by
either
area
or
CDR,
future
climate
variability
including
extended
periods
drought,
3)
storage
conditions
how
this
might
buffer
disturbance
basin.
Ecological Solutions and Evidence,
Journal Year:
2024,
Volume and Issue:
5(2)
Published: April 1, 2024
Abstract
Forestry
is
pervasive
across
temperate
North
America
and
may
influence
aquatic
environmental
conditions
such
as
flows
temperatures,
well
important
species
Pacific
salmon
(
Oncorhynchus
spp.).
While
there
have
been
many
large‐scale
forestry
experiments
using
paired
catchment
designs,
these
studies
yet
to
be
quantitatively
synthesized.
Thus,
it
remains
unclear
whether
impacts
are
consistent,
context‐dependent
or
unpredictable.
This
study
aims
synthesize
on
streamflow
temperature,
through
a
systematic
review
synthesis
of
the
range
salmon.
Specifically,
we
investigated
generalizable
relationships
exist
between
intensity
(percent
watershed
harvested)
temperature.
We
also
examined
features
(climate,
hydrology
lithology)
harvest
method
mediated
impacts.
extracted
information
from
35
unique
paired‐catchments
California
Alaska.
had
strong
peak
low
maximum
summer
water
but
responses
were
quite
variable.
Across
all
catchments,
elevated
~20%
n
=
31
catchments),
reduced
~25%
13
catchments)
increased
temperatures
~15%
average.
However,
variable
not
predictable
based
intensity,
thus
broader
stressor–response
supported.
varied
spatially.
Peak
flow
with
northward
latitude
temperature
decreased
eastward
longitude.
magnitude
unrelated
other
attributes,
which
included
climate
(precipitation
aridity),
rain
versus
snow
hydrology,
elevation
bedrock
lithology.
Harvest
riparian
buffer
presence
no
detected
effects
statistical
models
explained
proportion
variation
overall.
Collectively,
our
results
indicate
that
can
substantial
key
conditions;
however,
impact
was
could
clearly
linked
easily
measured
characteristics.
implies
broadly
predictable.
Probabilistic
risk
distributions
potential
therefore
more
useful
for
management
in
data‐poor
situations.