Agricultural Water Management,
Год журнала:
2024,
Номер
301, С. 108955 - 108955
Опубликована: Июль 16, 2024
Soon,
water
scarcity
is
expected
to
worsen
due
several
factors
including
the
population
growth
and
climate
change.
To
address
this,
European
Water
Framework
Directive
(WFD)
mandates
an
increase
in
use
efficiency
of
agrosystems.
In
this
context,
aim
study
was
provide
a
novel
methodological
approach,
based
on
satellite-based
classification
algorithms
(i.e.,
artificial
neural
networks,
ANN,
Optical
Trapezoid
Model,
OPTRAM),
agro-hydrological
modelling
ArcDualKc
model
versus
traditional
FAO-56
approach)
combined
with
different
sources
agrometeorological
data
ground-based
ERA5
Land
data),
for
mapping
irrigated
crops
determining
their
irrigation
requirements
(IWR)
at
district
level.
The
carried
out,
during
period
2019–20,
district,
named
"Quota
102,50"
(Eastern
Sicily,
Italy)
managed
by
local
reclamation
consortium.
ANN
OPTRAM
allowed
obtain
accurate
detection
crops,
overall
accuracy
82
%
88
%,
respectively
2019–20.
IWR
retrieved
standard
approach
were
generally
underestimated
comparison
volumes
supplied
farmers.
best
performance
resulted
when
implemented
data,
average
values
coefficient
determination,
residual
error
slope
0.99,
975.31
m3
0.78,
respectively,
outputs
scale
compared
declared
consortium
overestimations
terms
both
areas
IWR,
absolute
errors
about
1539
ha
1431
ha,
9
106
12
m3,
Finally,
provided
useful
framework
supporting
management
authorities
better
planning
monitoring
uses
under
current
WFD.
Atmospheric Research,
Год журнала:
2023,
Номер
284, С. 106606 - 106606
Опубликована: Янв. 4, 2023
Reanalysis
precipitation
estimates
are
widely
used
in
the
fields
of
meteorology
and
hydrology
because
they
can
provide
physical,
spatial,
temporal
coherent
long
time
series
at
a
global
scale.
Nevertheless,
as
pre-requisite
for
many
applications
their
performance
needs
to
be
assessed.
The
objective
this
study
was
evaluate
European
Centre
Medium-Range
Weather
Forecasts
(ECMWF)
latest
fifth-generation
reanalysis
products,
i.e.,
ERA5
ERA5-Land,
country
scale
Spain.
For
doing
so,
we
compared
it
against
high-resolution
product
Spanish
Meteorological
Agency
which
spans
approximately
70
years
(1951–2020).
A
comprehensive
assessment
(continuous,
categorical,
probability
distribution
function
(pdf),
spatial
pattern,
trend)
performed
order
ascertain
quality
products.
Results
analysis
revealed
general
agreement
between
observations
ERA5-Land/ERA5
estimates:
spearman
correlation
values
0.5
0.9,
Root
Mean
Square
Error
(RMSE)
mostly
2
8
mm/d
Kling
Gupta
Efficiency
(KGE)
>0.4.
Categorical
additionally
indicated
good
(Heiken
Skill
score
(HSS)
score,
also
known
kappa,
0.4
0.8).
found
dependent
on
climatic
region,
intensity
orography.
Correlation
north-west
(higher
values)
south-east
(lower
gradient
while
relative
bias
(RBIAS)
RMSE
patterns
were
positively
correlated
with
slope
(ρ
=
0.41/0.35,
0.69/0.70,
respectively).
In
addition,
by
categorical
analysis,
along
Mediterranean
coast
wet
(i.e.,
overestimation
days
precipitation)
found.
detection
capacity
(kappa)
shown
negative
−0.29/−0.34).
Worst
model
is
obtained
during
summer
months,
generalized
overestimation.
pdf
that
tended
overestimate
light
(≥1
<
5
mm/day),
moderate
(≥5
20
mm/day)
categories
underestimating
heavy
(≥20
40
violent
(≥40
categories.
Moderate
provided
best
capacity,
precipitation-intensity
analysis.
showed
reproduce
trends
observations.
ERA5-Land
ERA5,
different
resolution,
very
similar
all
considered.
northern
highlighted
most
critical
modelling
purposes
its
performance.
Journal of Hydrology Regional Studies,
Год журнала:
2022,
Номер
42, С. 101182 - 101182
Опубликована: Июль 22, 2022
The
study
region
is
represented
by
seven
irrigation
districts
distributed
under
different
climate
and
topography
conditions
in
Italy.
This
explores
the
reliability
consistency
of
global
ERA5
single
levels
ERA5-Land
reanalysis
datasets
predicting
main
agrometeorological
estimates
commonly
used
for
crop
water
requirements
calculation.
In
particular,
data
was
compared,
variable-by-variable
(e.g.,
solar
radiation,
Rs;
air
temperature,
Tair;
relative
humidity,
RH;
wind
speed,
u10;
reference
evapotranspiration,
ET0),
with
situ
observations
obtained
from
66
automatic
weather
stations
(2008–2020).
addition,
presence
a
climate-dependency
on
their
accuracy
assessed
at
districts.
A
general
good
agreement
between
observed
variables
both
daily
seasonal
scales.
best
performance
Tair,
followed
RH,
Rs,
u10
datasets,
especially
temperate
conditions.
These
performances
were
translated
into
slightly
higher
ET0
product,
confirming
potential
using
as
an
alternative
source
retrieving
overcoming
unavailability
data.
iScience,
Год журнала:
2023,
Номер
26(6), С. 106837 - 106837
Опубликована: Май 9, 2023
Soil
moisture
(SM)
and
atmospheric
humidity
(AH)
are
crucial
climatic
variables
that
significantly
affect
the
climate
system.
However,
combined
influencing
mechanisms
of
SM
AH
on
land
surface
temperature
(LST)
under
global
warming
still
unclear.
Here,
we
systematically
analyzed
interrelationships
among
annual
mean
values
SM,
AH,
LST
using
ERA5-Land
reanalysis
data
revealed
role
spatiotemporal
variations
through
mechanism
analysis
regression
methods.
The
results
showed
net
radiation,
could
well
model
long-term
variability
explain
92%
variability.
Moreover,
played
an
essential
different
backgrounds.
always
displayed
a
greenhouse
effect
LST.
This
study
provides
insights
into
change
from
hydrothermal
processes
perspective.
Water,
Год журнала:
2025,
Номер
17(2), С. 264 - 264
Опубликована: Янв. 18, 2025
The
Nash–Sutcliffe
efficiency
remains
the
best
metric
for
measuring
appropriateness
of
a
model
and
reflects
culture
developed
in
hydrology
to
test
models
against
reality
before
using
them.
This
is
not
without
problems,
alternative
metrics
have
been
proposed
subsequently.
Here,
concept
knowable
moments
exploited
provide
robust
that
assess
only
second-order
properties
process
interest
but
also
high-order
which
information
entire
distribution
function
interest.
may
be
useful
hydrological
tasks,
as
most
processes
are
non-Gaussian.
concepts
illustrated,
relationship
existing
ones,
large-scale
comparison
climatic
outputs
precipitation
with
last
84
years
on
hemispheric
continental
scales.
Energies,
Год журнала:
2022,
Номер
15(19), С. 7365 - 7365
Опубликована: Окт. 7, 2022
China
is
rich
in
wind-
and
solar-energy
resources.
In
recent
years,
under
the
auspices
of
“double
carbon
target,”
government
has
significantly
increased
funding
for
development
wind
solar
However,
because
energy
are
intermittent
their
spatial
distribution
uneven,
profits
obtained
by
developers
resources
unstable
relatively
low.
For
this
reason,
we
analyze
article
spatiotemporal
variations
temporal
complementarity
applying
a
Spearman
correlation
coefficient
based
on
Daily
Value
Dataset
Surface
Climate
Data
V3.0.
Finally,
also
strive
to
harmonize
regions
where
less
complementary
introducing
hydro-energy
The
results
reveal
that
undergo
large
interannual
fluctuations
show
significant
heterogeneity.
At
same
time,
according
resources,
over
half
China’s
suitable
Further
research
shows
introduction
makes
it
feasible
coordinate
complement
areas
advantage
not
significant.
This
effect
increasing
profit
generated
two
or
more
renewable
Water,
Год журнала:
2024,
Номер
16(7), С. 1028 - 1028
Опубликована: Апрель 2, 2024
Hydrological
modeling
is
essential
for
runoff
simulations
in
line
with
climate
studies,
especially
remote
areas
data
scarcity.
Advancements
climatic
precipitation
datasets
have
improved
the
accuracy
of
hydrological
modeling.
This
research
aims
to
evaluate
APHRODITE,
PERSIANN-CDR,
and
ERA5-Land
Hablehroud
watershed
Iran.
The
were
compared
interpolated
ground
station
using
inverse
distance
weighted
(IDW)
method.
variable
infiltration
capacity
(VIC)
model
was
utilized
simulate
from
1992
1996.
results
revealed
that
APHRODITE
PERSIANN-CDR
demonstrated
highest
lowest
accuracy,
respectively.
sensitivity
analyzed
each
dataset,
calibration
performed
Kling–Gupta
efficiency
(KGE).
evaluation
daily
simulation
based
on
observed
indicated
a
KGE
value
0.78
0.76
during
validation
periods,
values
at
time
scale
0.64
0.77
data,
0.62
0.75
0.50
0.66
These
indicate
despite
varying
sensitivity,
present
satisfactory
performance,
particularly
poorly
gauged
basins
infrequent
historical
datasets.
