Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 24, 2024
Wildfires
and
heatwaves
have
recently
affected
the
hydrological
system
in
unprecedented
ways
due
to
climate
change.
In
cold
regions,
these
extremes
cause
rapid
reductions
snow
ice
albedo
soot
deposition
unseasonal
melt.
Snow
dynamics
control
net
shortwave
radiation
available
energy
for
melt
runoff
generation.
Many
algorithms
models
cannot
accurately
simulate
because
they
were
developed
or
parameterised
based
on
historical
observations.
Remotely
sensed
data
assimilation
(DA)
can
potentially
improve
model
performance
by
updating
modelled
with
This
study
seeks
diagnose
effects
of
remotely
DA
prediction
streamflow
from
glacierized
basins
during
wildfires
heatwaves.
Sentinel-2
20-m
estimates
assimilated
into
a
glacio-hydrological
created
using
Cold
Regions
Hydrological
Modelling
Platform
(CRHM)
two
Canadian
Rockies
basins,
Athabasca
Glacier
Research
Basin
(AGRB)
Peyto
(PGRB).
The
was
conducted
2018
(wildfires),
2019
(soot/algae),
2020
(normal),
2021
(heatwaves).
employed
assimilate
CRHM
compared
run
(CTRL)
off-the-shelf
parameters.
Albedo
benefited
predictions
both
KGE
coefficient
improvement
0.18
0.20
AGRB
PGRB,
respectively.
Four-year
superior
CTRL
but
slightly
better
AGRB.
not
beneficial
These
results
show
that
reveal
otherwise
unknown
snowpack
occurring
remote
glacier
accumulation
zones
are
well
simulated
alone.
findings
corroborate
power
observational
tools
incorporate
near
real-time
information
inform
water
managers
response
Journal of Hydrology,
Journal Year:
2022,
Volume and Issue:
615, P. 128711 - 128711
Published: Nov. 8, 2022
Cold
regions
involve
hydrological
processes
that
are
not
often
addressed
appropriately
in
models.
The
Regions
Hydrological
Modelling
platform
(CRHM)
was
initially
developed
1998
to
assemble
and
explore
the
understanding
from
a
series
of
research
basins
spanning
Canada
international
cold
regions.
basin
response
simulated
flexible,
modular,
object-oriented,
multiphysics
platform.
CRHM
allows
for
multiple
representations
forcing
data
interpolation
extrapolation,
model
spatial
physical
process
structures,
parameter
values.
It
is
well
suited
falsification,
algorithm
intercomparison
benchmarking,
has
been
deployed
hydrology
diagnosis,
prediction,
land
use
change
water
quality
analysis,
climate
impact
analysis
flood
forecasting
around
world.
This
paper
describes
CRHM's
capabilities,
insights
derived
by
applying
concert
with
using
combined
information
predict
variables,
diagnose
determine
appropriateness
structure
parameterisations.
ABSTRACT
In
needleleaf
forests,
up
to
half
of
annual
snowfall
may
be
returned
the
atmosphere
through
sublimation
snow
intercepted
in
canopy.
However,
limited
and
sparse
observations
interception
ablation
processes
have
hindered
development
fundamental
theories
underpinning
current
estimates
accumulation
forests.
Existing
parameterisations
for
been
developed
locations
with
distinctive
climate,
tree
species
forest
structures,
resulting
inconsistent
non‐comprehensive
process
representations.
This
variability
limits
transferability
these
across
diverse
landscapes
climates.
Moreover,
difficulties
isolating
individual
field‐based
measurements
has
led
that
inadvertently
coupled
multiple
processes,
adding
uncertainty.
Many
studies
also
simplified
original
do
not
include
recent
advances
from
observational
studies.
review
article
aims
elucidate
theoretical
foundations
assumptions
underlying
provide
a
better
understanding
uncertainties
existing
methods
identify
priorities
future
The
behind
are
reviewed
necessary
context
examining
parameterisations.
Specific
gaps
literature
determining
canopy
storage
capacity,
challenges
distinguishing
throughfall
ablation,
partitioning
unloading
rates
snowmelt
drainage,
assumption
vertical
falling
hydrometeor
trajectories,
absence
wind
resuspension
parameterisations,
testing
varied
forests
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(2)
Published: Feb. 1, 2025
Abstract
The
notion
of
convergent
and
transdisciplinary
integration,
which
is
about
braiding
together
different
knowledge
systems,
becoming
the
mantra
numerous
initiatives
aimed
at
tackling
pressing
water
challenges.
Yet,
transition
from
rhetoric
to
actual
implementation
impeded
by
incongruence
in
semantics,
methodologies,
discourse
among
disciplinary
scientists
societal
actors.
Here,
we
embrace
“integrated
modeling”—both
quantitatively
qualitatively—as
a
vital
exploratory
instrument
advance
such
providing
means
navigate
complexity
manage
uncertainty
associated
with
understanding,
diagnosing,
predicting,
governing
human‐water
systems.
From
this
standpoint,
confront
barriers
offering
seven
focused
reviews
syntheses
existing
missing
links
across
frontiers
distinguishing
surface
groundwater
hydrology,
engineering,
social
sciences,
economics,
Indigenous
place‐based
knowledge,
studies
other
interconnected
natural
systems
as
atmosphere,
cryosphere,
ecosphere.
While
there
are,
arguably,
no
bounds
pursuit
inclusivity
representing
spectrum
human
processes
around
resources,
advocate
that
integrated
modeling
can
provide
approach
delineating
scope
through
lens
three
fundamental
questions:
(a)
What
“purpose”?
(b)
constitutes
sound
“boundary
judgment”?
(c)
are
“critical
uncertainties”
their
compounding
effects?
More
broadly,
call
for
investigating
what
warranted
“systems
complexity,”
opposed
unjustified
“computational
complexity”
when
complex
human‐natural
careful
attention
interdependencies
feedbacks,
scaling
issues,
nonlinear
dynamics
thresholds,
hysteresis,
time
lags,
legacy
effects.
Hydrology,
Journal Year:
2022,
Volume and Issue:
9(11), P. 197 - 197
Published: Nov. 4, 2022
Changes
in
water
resources
within
basins
can
significantly
impact
ecosystems,
agriculture,
and
biodiversity,
among
others.
Basins
northern
Canada
have
a
cold
climate,
the
recent
changes
climate
profound
on
these
basins.
Therefore,
it
is
crucial
to
study
long
term
trends
flow
as
well
their
influential
factors,
such
temperature
precipitation.
This
focused
analyzing
across
Athabasca
River
Basin
(ARB)
Peace
(PRB).
Long
precipitation
were
also
studied.
Water
data
from
18
hydrometric
stations
provided
by
Survey
of
analyzed
using
Mann-Kendall
test
Sen’s
slope.
In
addition,
hybrid
Alberta
Environment
Parks
at
approximately
10
km
spatial
resolution
for
ARB
its
surrounding
regions
during
1950–2019.
Trend
analysis
was
performed
monthly,
seasonal,
annual
scales,
results
cross-checked
with
land
use
cover
data.
The
overall
has
been
increasing
since
1950,
while
showed
an
insignificant
decrease
this
period.
Winter
upper
slowly
steadily
1956
because
rising
temperatures
subsequent
slow
melting
snowpacks/glaciers.
warm
season
flows
middle
lower
subregions
declined
up
1981,
then
started
show
trend.
exhibited
rapid
increase
warm-season
2015.
A
similar
trend
change
observed
PRB.
gradual
decades
may
continue
mid-century,
which
beneficial
forestry,
fishery,
industry.
However,
alter
future;
therefore,
important
proper
management
plan
usage
next
decades.
