Abstract.
Aerosol
particles
influence
cloud
formation
and
properties.
Hence
climate
models
that
aim
for
a
physical
representation
of
the
system
include
aerosol
modules.
In
order
to
represent
more
processes
species,
their
has
grown
increasingly
detailed.
However,
depending
on
one's
modeling
purpose,
increased
model
complexity
may
not
be
beneficial,
example
because
it
hinders
understanding
behaviour.
we
develop
simplification
in
form
climatology
concentrations.
one
approach,
prescribes
properties
important
droplet
ice
crystal
formation,
gateways
aerosols
enter
microphysics
scheme.
Another
approach
mass
number
concentrations
general.
Both
climatologies
are
derived
from
full
ECHAM-HAM
simulations
can
serve
replace
HAM
module
thus
drastically
simplify
treatment.
The
first
reduces
computational
time
by
roughly
65
%.
naive
mean
climatological
treatment
needs
improvement
give
results
satisfyingly
close
model.
We
find
CCN
yield
an
underestimation
CDNC
Southern
Ocean,
which
reduce
allowing
only
at
base
(which
have
experienced
hygroscopic
growth
these
conditions)
climatology.
This
highlights
value
pointing
unexpected
behaviour
providing
new
perspective
its
study
development.
Hydrological Sciences Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 10, 2025
The
Nash-Sutcliffe
Efficiency
(NSE)
is
commonly
used
as
model
evaluation
metric
in
hydrology,
but
its
prominence
often
taken
for
granted.
This
study
explores
the
social
factors
behind
adoption.
Introduced
1970,
NSE
gained
traction
computational
advancements
spurred
growth
of
hydrological
models
and
metrics.
This,
turn,
led
to
need
converge
on
broadly
accepted
In
1990,
a
committee
recommended
alongside
two
other
One
main
developers
SWAT,
widely
model,
adopted
only
part
this
recommendation,
solidifying
NSE's
dominance.
storyline
shows
that
primacy
appears
be
derived
more
from
tradition
than
demonstration
technical
superiority.
To
date,
path
dependence
visible
ongoing
research
efforts
resulting
popularity
NSE.
historical
perspective
highlights
how
processes
have
shaped
way
are
evaluated.
Geoscientific model development,
Год журнала:
2025,
Номер
18(8), С. 2409 - 2425
Опубликована: Апрель 23, 2025
Abstract.
Numerical
models
are
simplified
representations
of
the
real
world
at
a
finite
level
complexity.
Global
water
used
to
simulate
terrestrial
part
global
cycle,
and
their
outputs
contribute
evaluation
important
natural
societal
issues,
including
availability,
flood
risk,
ecological
functioning.
Whilst
modeling
is
an
area
science
that
has
developed
over
several
decades,
individual
model-specific
descriptions
exist
for
some
models,
there
date
been
no
attempt
visualize
ways
work,
using
standardized
visualization
framework.
Here,
we
address
this
gap
by
presenting
community-driven
process
framework
models.
The
considered
participate
in
Inter-Sectoral
Impact
Model
Intercomparison
Project
phase
2b
(ISIMIP2b).
diagrams
were
co-produced
between
graphics
designer
16
teams,
based
on
extensive
discussions
pragmatic
decision-making
balanced
need
accuracy
detail
against
effective
visualization.
model
ISIMIP2b-complete
represents
what
theoretically
possible
represent
current
generation
state-of-the-art
participating
ISIMIP2b.
Model-specific
then
copies
model,
with
processes
either
included
or
grayed
out.
An
open-source
tool
published
jointly
diagrams,
which
allows
someone
generate
diagram
own
adapting
presented
here.
As
well
as
serving
educational
purpose,
envisage
will
help
researchers
outside
community
select
suitable
model(s)
specific
applications,
stimulate
learning
process,
identify
missing
components
direct
future
developments.
Hydrology and earth system sciences,
Год журнала:
2024,
Номер
28(15), С. 3495 - 3518
Опубликована: Авг. 1, 2024
Abstract.
Water-related
conflicts
in
river
catchments
occur
due
to
both
internal
and
external
pressures
that
affect
catchment
water
availability.
Lack
of
common
understanding
human–water
perspectives
by
stakeholders
increases
the
complexity
issues
at
scale.
Among
a
range
participatory
approaches,
development
use
serious
games
gained
prominence
as
tool
stimulate
discussion
reflection
among
about
sustainable
resource
collective
action.
This
study
designed
implemented
ENGAGE
(Exploring
New
Gaming
Approach
Guide
Enlighten)
game
mimics
dynamics
observed
during
dry
season
upper
Ewaso
Ngiro
catchment,
northwest
Mount
Kenya.
The
purpose
this
was
explore
potential
role
gaming
subsequent
steps
strengthening
stakeholder
engagement
(agenda
setting,
shared
understanding,
commitment
action,
means
implementation)
toward
addressing
complex
challenges
We
assessed
type
decisions
made
gameplay,
communication
dynamics,
active
participation,
implication
on
results
three
sessions
show
raised
awareness
provided
recognizable
hydrologic
background
while
guiding
community
discussions
implementable
decisions.
revealed
increasing
knowledge
gain,
plural
pronouns
decreasing
individual
interests
participants.
presents
important
implications
for
creating
basis
management
can
inform
policies
modification
process
behind
allocation
rules
catchment.
Open Book Publishers,
Год журнала:
2025,
Номер
unknown, С. 493 - 502
Опубликована: Фев. 25, 2025
Numerical
hydrological
models
can
be
useful
tools
to
explore
elements
of
the
cycle.
While
there
is
a
wide
range
model
types
available,
they
are
all
inherently
subject
uncertainty.
Wiley Interdisciplinary Reviews Water,
Год журнала:
2025,
Номер
12(3)
Опубликована: Май 1, 2025
ABSTRACT
Global
water
models
allow
us
to
explore
the
terrestrial
cycle
in
earth‐sized
digital
laboratories
support
science
and
guide
policy.
However,
these
are
still
subject
considerable
but
also
reducible
uncertainties
that
can
be
attributed
mainly
three
sources:
(1)
imbalances
data
quality
availability
across
geographical
regions
between
hydrologic
variables,
(2)
poorly
quantified
human
influence
on
cycle,
(3)
difficulties
tailoring
process
representations
regionally
diverse
systems.
New,
more
accurate,
larger
datasets,
as
well
better
accumulated
even
enhanced
knowledge,
will
help
reduce
thus
improve
model
consistency
with
our
perceptions
accuracy
given
existing
observations.
This
review
examines
sources
of
uncertainty
crucial
for
global
proposes
actions
mitigate
them,
thereby
providing
a
roadmap
advancement.
Following
this
path
yield
consistent
accurate
urgently
needed
tackle
key
scientific
societal
challenges.
