Geoscientific model development,
Journal Year:
2019,
Volume and Issue:
12(6), P. 2501 - 2521
Published: June 28, 2019
Abstract.
Routing
streamflow
through
a
river
network
is
fundamental
requirement
to
verify
lateral
water
fluxes
simulated
by
hydrologic
and
land
surface
models.
River
routing
performed
at
diverse
resolutions
ranging
from
few
kilometres
1∘.
The
presented
multiscale
model
mRM
calculates
spatial
temporal
resolutions.
solves
the
kinematic
wave
equation
using
finite
difference
scheme.
An
adaptive
time
stepping
scheme
fulfilling
numerical
stability
criterion
introduced
in
this
study
compared
against
original
parameterisation
of
that
has
been
developed
within
mesoscale
(mHM).
requires
high-resolution
network,
which
upscaled
internally
desired
resolution.
user
can
change
resolution
simply
changing
single
number
configuration
file
without
any
further
adjustments
input
data.
performance
investigated
on
two
datasets:
German
dataset
slightly
lower
resolved
European
dataset.
shows
remarkable
scalability
its
predecessor.
Median
Kling–Gupta
efficiencies
less
than
3
%
when
transferred
48
km
also
exhibits
seamless
time,
providing
similar
results
forced
with
hourly
daily
runoff.
calculated
over
Danube
catchment
regional
climate
REMO
coupled
reveals
50
simulation
smaller
bias
respect
observations
12
source
code
freely
available
highly
modular,
facilitating
easy
internal
coupling
existing
Earth
system
Scientific Reports,
Journal Year:
2020,
Volume and Issue:
10(1)
Published: Aug. 13, 2020
Abstract
The
hydrological
cycle
is
expected
to
intensify
with
global
warming,
which
likely
increases
the
intensity
of
extreme
precipitation
events
and
risk
flooding.
changes,
however,
often
differ
from
theorized
expectation
in
water‐holding
capacity
atmosphere
warmer
conditions,
especially
when
water
availability
limited.
Here,
relationships
changes
flood
intensities
for
end
twenty-first
century
spatial
seasonal
are
quantified.
Results
show
an
intensification
over
all
climate
regions
as
dry
wet
regions.
Similarly,
there
increase
availability.
connection
between
becomes
stronger
become
less
extreme.
Nature Communications,
Journal Year:
2019,
Volume and Issue:
10(1)
Published: Oct. 11, 2019
Flash
droughts
refer
to
a
type
of
that
have
rapid
intensification
without
sufficient
early
warning.
To
date,
how
will
the
flash
drought
risk
change
in
warming
future
climate
remains
unknown
due
diversity
definition,
unclear
role
anthropogenic
fingerprints,
and
uncertain
socioeconomic
development.
Here
we
propose
new
method
for
explicitly
characterizing
events,
find
exposure
over
China
increase
by
about
23%
±
11%
during
middle
this
century
under
scenario
with
medium
challenge.
Optimal
fingerprinting
shows
induced
increased
greenhouse
gas
concentrations
accounts
77%
26%
upward
trend
frequency,
population
is
also
an
important
factor
enhancing
southernmost
humid
regions.
Our
results
suggest
traditional
drought-prone
regions
would
expand
given
human-induced
risk.
are
widely
discussed
scientific
community
since
onset
2012
USA.
Here,
authors
model
temporal
frequency
potential
events
next
80
years.
Scientific Reports,
Journal Year:
2018,
Volume and Issue:
8(1)
Published: June 18, 2018
Early
21st-century
droughts
in
Europe
have
been
broadly
regarded
as
exceptionally
severe,
substantially
affecting
a
wide
range
of
socio-economic
sectors.
These
extreme
events
were
linked
mainly
to
increases
temperature
and
record-breaking
heatwaves
that
influencing
since
2000,
combination
with
lack
precipitation
during
the
summer
months.
Drought
propagated
through
all
respective
compartments
hydrological
cycle,
involving
low
runoff
prolonged
soil
moisture
deficits.
What
if
these
recent
are
not
previously
thought?
Using
reconstructed
over
last
250
years,
we
show
although
2003
2015
may
be
most
driven
by
deficits
vegetation
period,
their
spatial
extent
severity
at
long-term
European
scale
less
uncommon.
This
conclusion
is
evident
our
concurrent
investigation
three
major
drought
types
-
meteorological
(precipitation),
agricultural
(soil
moisture)
(grid-scale
runoff)
droughts.
Additionally,
unprecedented
drying
trends
for
corresponding
frequency
also
observed,
reflecting
recurring
periods
high
temperatures.
Since
intense
extended
reemerge
future,
study
highlights
concerns
regarding
impacts
such
when
combined
persistent
decrease
moisture.
Water Resources Research,
Journal Year:
2019,
Volume and Issue:
55(6), P. 4582 - 4593
Published: May 14, 2019
Abstract
Inferring
the
mechanisms
causing
river
flooding
is
key
to
understanding
past,
present,
and
future
flood
risk.
However,
a
quantitative
spatially
distributed
overview
of
that
drive
across
Europe
currently
unavailable.
In
addition,
studies
classify
catchments
according
their
flood‐driving
often
identify
single
mechanism
per
location,
although
multiple
typically
contribute
We
introduce
new
method
uses
seasonality
statistics
estimate
relative
importance
extreme
precipitation,
soil
moisture
excess,
snowmelt
as
drivers.
Applying
this
European
data
set
maximum
annual
flow
dates
in
several
thousand
reveals
from
1960
2010
relatively
few
floods
were
caused
by
rainfall
peaks.
Instead,
most
concurrence
heavy
precipitation
with
high
antecedent
moisture.
For
catchments,
these
has
not
substantially
changed
during
past
five
decades.
Exposing
regional
underlying
Europe's
costly
natural
hazard
first
step
identifying
processes
require
attention
research.
Hydrology and earth system sciences,
Journal Year:
2019,
Volume and Issue:
23(6), P. 2601 - 2614
Published: June 17, 2019
Abstract.
Calibration
is
an
essential
step
for
improving
the
accuracy
of
simulations
generated
using
hydrologic
models.
A
key
modeling
decision
selecting
performance
metric
to
be
optimized.
It
has
been
common
use
squared
error
metrics,
or
normalized
variants
such
as
Nash–Sutcliffe
efficiency
(NSE),
based
on
idea
that
their
squared-error
nature
will
emphasize
estimates
high
flows.
However,
we
conclude
NSE-based
model
calibrations
actually
result
in
poor
reproduction
high-flow
events,
annual
peak
flows
are
used
flood
frequency
estimation.
Using
three
different
types
calibrate
two
hydrological
models
at
a
daily
step,
Variable
Infiltration
Capacity
(VIC)
and
mesoscale
Hydrologic
Model
(mHM),
evaluate
ability
simulate
events
492
basins
throughout
contiguous
United
States.
The
metrics
investigated
(1)
NSE,
(2)
Kling–Gupta
(KGE)
its
variants,
(3)
flow
bias
(APFB),
where
latter
application-specific
focuses
As
expected,
APFB
produces
best
estimates;
however,
other
high-flow-related
poor.
In
contrast,
NSE
results
more
than
20
%
worse,
primarily
due
tendency
underestimate
observed
variability.
On
hand,
KGE
better
from
owing
improved
time
series
(mean
variance),
with
only
slight
degradation
respect
related
particularly
when
non-standard
weighting
components
used.
Stochastically
ensemble
residuals
show
improve
regardless
deterministic
performances.
fidelity
streamflow
dynamics
deterministically
calibrated
still
important,
it
may
(for
right
reasons).
Overall,
this
work
highlights
need
deeper
understanding
behavior
design
relation
desired
goals
calibration.
Hydrology and earth system sciences,
Journal Year:
2018,
Volume and Issue:
22(2), P. 1017 - 1032
Published: Feb. 7, 2018
Abstract.
There
is
growing
evidence
that
climate
change
will
alter
water
availability
in
Europe.
Here,
we
investigate
how
hydrological
low
flows
are
affected
under
different
levels
of
future
global
warming
(i.e.
1.5,
2,
and
3
K
with
respect
to
the
pre-industrial
period)
rivers
a
contributing
area
more
than
1000
km2.
The
analysis
based
on
multi-model
ensemble
45
simulations
three
representative
concentration
pathways
(RCP2.6,
RCP6.0,
RCP8.5),
five
Coupled
Model
Intercomparison
Project
Phase
5
(CMIP5)
general
circulation
models
(GCMs:
GFDL-ESM2M,
HadGEM2-ES,
IPSL-CM5A-LR,
MIROC-ESM-CHEM,
NorESM1-M)
state-of-the-art
(HMs:
mHM,
Noah-MP,
PCR-GLOBWB).
High-resolution
model
results
available
at
spatial
resolution
km
across
pan-European
domain
daily
temporal
resolution.
Low
river
flow
described
as
percentile
streamflow
exceeded
90
%
time.
It
determined
separately
for
each
GCM/HM
combination
scenario.
show
low-flow
signal
amplifies
increasing
levels.
decrease
Mediterranean
region,
while
they
increase
Alpine
Northern
regions.
In
Mediterranean,
level
from
−12
1.5
K,
compared
baseline
period
1971–2000,
−35
largely
due
projected
decreases
annual
precipitation.
contrast,
amplified
+22
(1.5
K)
+45
(3
region
changes
snow
accumulation.
significant
regions
relatively
large
signals
higher
warming.
However,
it
not
possible
distinguish
climate-induced
differences
between
2
because
(1)
inter-annual
variability
which
prevents
distinguishing
statistical
estimates
period-averaged
given
combination,
(2)
uncertainty
expressed
by
signal-to-noise
ratio.
contribution
GCMs
generally
one
HMs.
HMs
cannot
be
neglected.
Alpine,
Northern,
regions,
partly
those
representations
processes
such
snow,
soil
moisture
evapotranspiration.
Based
results,
recommended
use
multiple
impact
studies
embrace
information
well
its
single
members
adaptation
process.
Geophysical Research Letters,
Journal Year:
2020,
Volume and Issue:
47(7)
Published: April 1, 2020
The
magnitudes
of
river
floods
in
Europe
have
been
observed
to
change,
but
their
alignment
with
changes
the
spatial
coverage
or
extent
individual
has
not
clear.
We
analyze
flood
and
extents
for
3,872
hydrometric
stations
across
over
past
five
decades
classify
each
based
on
antecedent
weather
conditions.
find
positive
correlations
between
95%
stations.
In
central
British
Isles,
association
increasing
trends
is
due
a
magnitude-extent
correlation
precipitation
soil
moisture
along
shift
generating
processes.
highlights
importance
transnational
risk
management.
Precipitation
extremes
will
increase
in
a
warming
climate,
but
the
response
of
flood
magnitudes
to
heavier
precipitation
events
is
less
clear.
Historically,
there
little
evidence
for
systematic
increases
magnitude
despite
observed
extremes.
Here
we
investigate
how
change
warming,
using
large
initial-condition
ensemble
simulations
with
single
climate
model,
coupled
hydrological
model.
The
model
chain
was
applied
historical
(1961–2000)
and
warmer
future
(2060–2099)
conditions
78
watersheds
Bavaria,
region
comprising
headwater
catchments
Inn,
Danube
Main
River,
thus
representing
an
area
expressed
heterogeneity.
For
majority
catchments,
identify
‘return
interval
threshold’
relationship
between
increases:
at
return
intervals
above
this
threshold,
further
extreme
frequency
clearly
yield
increased
magnitudes;
below
modulated
by
land
surface
processes.
We
suggest
that
threshold
behaviour
can
reconcile
climatological
perspectives
on
changing
risk
climate.
Germany
rainfall
processes
not
above,