►
Description
The CESM Tutorial will consist of:
Lectures on simulating the climate system, practical sessions on running CESM, modifying components, and analyzing data.
For more information:
http://www.cesm.ucar.edu/events/tutorials/2020/
Community Earth System Model (CESM) is a fully-coupled, community, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states.
B
B
So,
as
you
know,
it's
going
to
be
a
hundred
percent
of
a
zoom,
but
with
the
links
that
we're
using
today,
it's
going
to
be
the
same
link
for
the
entire
week.
My
name
is
gunter
leggy.
You
have
heard
from
me
via
communication
letters
or
individually
when
you
had
questions,
I'm
sharing
this
tutorial
committee
this
year,
I
am
a
project
scientist
at
encore,
I'm
I'm
an
ice
sheet
modeler.
I
work
in
the
polar
and
paleo
climate
group
and
I'm
also
the
scientific
liaison
of
the
landline's
working
group.
B
Oops,
so
typically,
when
we
have
the
in-person
tutorial,
it
takes
place
at
the
mesa
lab
in
boulder,
which
looks
like
this
and
obviously
we're
not
there.
Today.
Unfortunately,
I
wish
we
could
it's
much
better
to
have
in
person
meeting
for
the
tutorial,
but
we
hope
that
we
can
see
you
then
the
near
future
after
the
tutorial
and
to
give
you
a
sense
right
now,
because
I've
covered
not
many
encore
staff
actually
at
the
miss
lab,
and
just
like
me,
you
can
see
my
background.
B
B
I
would
like
to
give
some
thanks
for
all
the
people
that
may
were
like
helped
in
making
this
tutorial
possible
over
zoom
first
tutorial,
organizing
comedy
alisd
vivier,
cecilene,
gustavo,
marquez,
keith,
olsen,
adam
phillips
and
christine
shields.
You
will
meet
every
single
one
of
them
throughout
the
course
of
the
week,
but
also
very,
very
thankful
for
elizabeth's,
fair
class
and
all
the
logistic
support
that
she's
done
to
make
this
possible
the
national
science
foundation
to
support
our
salaries
and
fun
and
making
this
possible.
B
D
Good
morning
and
welcome
everyone,
as
hunter
said,
I
am
in
the
mesa
lab
today
and
it's
pretty
quiet
up
here,
and
we
do
wish
that
you
were
all
here.
So
I
know
a
lot
of
classes
and
meetings
have
been
happening
remotely
over
zoom,
but
we
don't
want
to
assume
that
you're
familiar
with
the
zoom
tools,
so
I'm
just
going
to
take
a
minute
to
go
through
some
of
the
some
of
the
kind
of
ground
rules.
D
D
Sometimes
it
comes
up
with
a
really
crazy
name,
and
so,
when
you
scroll
over
the
participant
list
and
find
your
name
there's
a
blue
button
that
says
more
and
if
you
could
please
rename
yourself,
I
will
be
monitoring
since
we're
using
the
same
link
the
whole
time.
We
want
to
make
sure
that
it's
just
the
participants
on
the
staff
that
are
involved
and
this
knowing
that
I
see
your
name
it
lets
me
know
that
you're
there
and
any
other
people
I
can
boot
them
out.
D
So
if,
at
some
times
during
the
agenda,
we're
going
to
be
working
in
some
small
groups,
and
so,
if
you're
having
any
issue
with
code,
we
might
ask
you
to
share
your
screen.
So
that
would
be
the
bottom,
the
green
button
at
the
bottom
and
then
also
during
the
presentations.
We
ask
that
you
keep
yourself
muted
and
your
your
video
off
we'll
ask
you
to
put
your
video
on
when
we're
having
some
group
discussions.
D
D
If
you
see
in
the
image
where
it's
got,
that
blue
oval,
that
says
everyone
that
allows
you
to
just
post
a
general
question,
if
you
have
some
kind
of
you
know
technical
or
logistical
question,
you
can
choose
me
and
write
just
to
me
and
I
can
help
you
and
I'll
also
be
monitoring
my
email.
If
you
have
some
kind
of
logistical
questions
you
need
to
send
over
and
then
also
in
the
participants
list,
you
can
see
everyone's
name
and
then
you
can
also
use
this.
D
D
Okay,
next
slide
and
during
the
agenda,
especially
in
the
afternoon
sessions,
we're
going
to
use
breakout
rooms
quite
a
bit.
So
this
is,
you
know.
We
think
that
it's
really
fun.
We
use
it
a
lot
here
with
our
committee
meetings
and
so
we'll
be
dividing
you
into
breakout
rooms,
and
this
just
shows
you
a
little
bit
of
what
it
looks
like
when
we
send
you
off
to
your
breakout
rooms
and
there's
also
a
button
in
the
right
hand
corner.
B
I
would
like
you
to
know
that
when
commenting
asking
questions
presenting
or
simply
communicating,
please
you
know
be
respectful.
Please
offer
constructive
feedback
share
the
air
with
everybody,
don't
monopolize
the
conversation
analyze
analyze.
Your
teamwork,
encourage
innovation,
show
appreciation,
consider
new
ideas.
All
of
this
very
helps
making
a
very
welcoming
and
encouraging
environment.
B
B
You
can
see
all
the
previous
webpage
from
from
previous
tutorials
and
I
forgot
to
say
this,
but
all
these
slides
will
be
posted
online
at
that
link,
and
I
will
show
several
other
links,
so
you
can
have
access
to
them
and
if
you
need
any
other
links
like
the
agenda
or
special
announcement,
I'm
not
sure
there's
anything
there
yet,
but
the
participants
list
where
you
can
see
the
biographies
of
the
participant
participating
this
year.
All
these
links
are
here
and
if
they,
if
they're
not
there,
they
will
be
there.
B
B
So
we
then
you're
going
to
have
a
meet
a
scientist
session,
except
today
the
media
scientist
is
replaced
with
a
q,
a
panel
session
and
the
q.
A
panel
session
is
replaced
by
a
lecture
today,
where
you
will
be
meeting
with
not
necessarily
end
cross
scientists,
that's
going
to
be
scientists
from
other
institutions
that
are
collaborators
or
co-chairs
of
any
working
groups
and
there's
going
to
be
10
minute
breaks
after
each
session
at
lunch.
B
What
we
call
lunch,
that's
going
to
start
at
11
we're
going
to
give
you
the
possibility
to
meet
among
each
other
participants.
Typically,
during
the
in-person
tutorial,
you
guys
would
have
the
opportunity
to
have
lunch
together
to
go
on
hikes
together
to
socialize
in
the
evening.
Together,
it's
going
to
be
harder
to
do
this
on
zoom,
but
we
want
to
give
you
the
space
to
be
able
to
do
this,
so
we
can
send
you
into
breakout
rooms
during
this
time.
B
You
can
have
lunch
there
and
you
don't
have
to,
but
we
highly
encourage
you
to
in
the
afternoon
we're
going
to
have
the
office
hours
and
I
will
get
more
into
more
details
about
the
office
hours
so
about
the
qns
panel
sessions.
As
I
said,
there
will
be
recorded
as
elizabeth
said.
Please
mute
yourself
during
the
session
if
you
have
a
question
whether
during
during
the
panel
or
at
the
end,
please
raise
your
hand
and
the
moderator
will
give
you
the
floor
to
ask
your
question.
B
As
you
might
have
noticed
in
one
of
the
communication
letters
that
we
sent
you,
we
sent
you
links
to
ask
to
pre-ask
some
questions
to
the
panel.
Those
links
are
still
up
and
running.
If
you
have
not
done
so
yet
it
might
be
a
little
bit
late
for
the
atmospheric
q
and
a
session
which
will
take
place
this
morning,
but
you
must.
B
You
will
still
be
able
to
ask
question
when,
as
the
time
comes,
but
please
keep
asking
your
question
for
the
remaining
of
the
week
for
those
different
sessions
meet
a
scientist.
So
this
is
your
time
with
a
scientist
and
there
is
no
agenda
so
whatever
you,
the
outcome
of
this
session
is
really
up
to
you.
B
Try
to
obtain
the
family,
the
information
you
came
looking
for
those
are
not
recorded,
they
will
not
be
put
online
and
they
say
here.
The
exception
is
unmute
yourself
during
the
session.
You
are
you're
allowed
to
talk,
but
please
try
to
avoid
background
noise
and
to
not
overspeak
on
top
of
each
other,
follow
the
guideline
of
the
scientists.
Data
scientists.
Ask
you
to
do
something.
B
B
If
you
have
not
done
it
already,
you
can
still
pick
your
scientists.
You
can
what
you
can
take
a
look
at
the
scientific
scientist.
Biographies
there's
up
to
six
students
per
scientist
at
this
point
is
first
come
first
served
I've
tried
to
do
my
best
to
match
you
with
your
preferred
scientist
and
if
you
would
like
to
if
you
would
like
to
say
to
to
tell
me
that
at
the
end,
you
don't
you
do
not
want
to
meet
with
any
scientist
or
you'd
like
to
meet
with
most
scientists.
B
That's
actually
lunch
activity.
As
I
said
this
is
optional.
We
can
give
you
the
space
to
meet
among
each
other
amongst
each
other
feel
free
to
eat
your
lunch.
While
doing
so,
it's
lunchtime
after
all,
and
we
provided
you
with
an
other
way
to
communicate
amongst
yourself
with
a
slack
link
here,
it's
pretty
easy
to
sign
up
click
on
the
link
enter
your
email
address
and
you'll
be
up
and
running
the
office
hour
session.
B
B
You
to
a
breakout
room
on
which
you
can
have
a
one-on-one
conversation
with
this
helper
and
it
is
very,
it
will
be
very
practical
for
you
at
this
point
to
share
your
screen,
especially
if
you
have
an
error
while
compiling
a
code
or
performing
some
csm
command
line
activities
asking
questions,
so
this
might
sound
trivial,
but
every
year
during
the
in-person
tutorial,
we
have
people
that
do
not
dare
asking
questions
because
they
think
the
stupidity.
So
the
question
is
quote:
unquote
stupid.
There
are
no
such
thing.
B
We
all
come
from
different
backgrounds
me
first,
I
always
have
stupid
questions.
My
background
is
in
mathematics
not
in
atmospheric
science,
for
instance,
or
land
modeling
or,
and
else
so
I
always
have
stupid
questions.
So
what
that
could
happen
is
for
you
to
leave
this
tutorial
with
your
stupid
question
unanswered.
Please
use
this
time
to
have
your
cash.
Your
question
answers.
B
B
So
typically,
we
would
like.
I
would
like
to
say
some
words
about
creating
a
welcoming
environment
for
everyone,
typically,
caroline
brinkworth,
who
is
a
diversity,
equity
inclusion,
senior
person
or
gives
this
presentation
she's
on
paid
time
off
this
week.
So
I'm
going
to
do
my
best
to
say
a
few
words
about
this.
B
Diversity
and
inclusion
is
very
important
at
any
car
new
car.
We
strive
to
create
an
environment
of
full
inclusion.
We
recognize
that
there's
enormous
scientific
and
societal
benefits
of
including
and
valuing
different
perspectives
and
ways
of
thinking
and
understand
that
diversity
and
inclusion
are
a
fundamental
requirement
in
achieving
our
goal
of
innovative,
world-leading
science
and
engineering.
B
Inclusion
of
different
ways
of
thinking
requires
recruitment,
development
and
retention
of
individuals
with
different
perspective,
experiences
and
values,
and
to
do
short
here,
our
goal
at
any
car.
A
new
car
is
to
build
a
diverse
and
including
workforce
workplace
environment,
whatever
your
identities
intersection
of
identities.
You
are
welcome
here
at
encore
in
ukraine.
B
B
B
B
B
B
A
D
B
So
so
t
so
what
while
you
work
use
your
zoom
window
should
be
up,
but
your
terminal
window
is
not
going
to
be
in
your
zoom
window.
Is
this
what
you
mean
yeah,
so
you
like
on
your
screen?
Just
have
them
on
separate
location
and
this
and
then,
if
you
need
to
share
your
screen
with
a
helper,
just
share
your
screen
and
the
helper
will
see
what
you
see.
B
C
You
I
think,
gunter
she
was
asked.
I
don't
know
whether
I
understood
your
question.
If
you
want,
you
can
reduce
the
size
of
the
zoom
window
from
the
full
screen.
If
you
hit
the
escape
button,
it'll
reduce
it
to
a
small
size
and
that'll
open
up
the
remaining
of
your
screen,
so
that
you
can
work
on
the
exercise
as
well.
D
I
was
going
to
add
to
that
one
we're
doing
presentations
if
you'd
like
to
change
your
view
up
in
the
right
hand,
corner
there's
speaker
view
or
gallery
view.
So
during
speaker
view
you
can
see
the
the
presentation
and
the
speaker
if
they
have
their
camera
on
and
then,
when
we're.
Having
group
conversations
like
this,
you
can
have
it
in
in
gallery
view
where
it's
kind
of
looks
like
the
brady
bunch
with
all
the
squares.
B
All
right
is,
there
are
no
more
questions
so
really
we
leave
it
ahead
of
schedule
here.
Our
next
session
starts
in
five
minutes.
If
you
want
to
take
this
five
minutes
to
refill
your
coffee,
mug
or
you
know,
whatever
you
you
drink
at
this
time
of
the
day,
please
do
so
and
we'll
be
covering
yeah
in
five.
B
B
B
B
So
let's
go
ahead
with
our
first
session
of
this
tutorial,
which
is
an
introduction
to
the
community
air
system
model
and
will
be
presented
by
gokan.
Dana
bashoglu
gokhan
is
a
current
csm
chief
scientist,
a
senior
scientist
in
the
oceanography
section
and
the
past
co-chair
of
the
csm
ocean
model
working
group.
The
general
subjects
in
his
research
are
understanding
the
role
of
the
oceans
in
the
earth's
climate
system
and
computational
modelling
of
the
ocean
as
geophysical
fluid,
and
he
will
be
giving
this
session.
Thank
you
gerkan
for
doing
this.
C
Vinter
so
I'll
go
ahead
and
start
well.
I
would
like
to
welcome
everybody
first
to
the
cesm
tutorial
and
it's
a
virtual
one
as
winter
indicated,
and
it's
unfortunate,
because
this
tutorial
is
particularly
very
useful
to
early
career
scientists
both
to
learn
about
cesm
and
also
to
sort
of
establish
connections
both
with
each
other
and
also
with
the
encar
scientists
or
cesm
scientists
in
general.
So
I'm
fortunate
that
we
are
going.
C
C
Then
I
would
like
to
briefly
mention
a
few
of
our
efforts
on
coupled
model
intercomparison
project
phase,
six,
that
steam
f6
and
I'm
pretty
sure
that
you
all
heard
about
cmip
and
what
it's
all
about,
and
I
would
like
to
then
provide
some
updates
on
our
ongoing
activities
and
the
later
part
of
the
talk.
The
last
part
of
the
talk
will
be
more
on
the
future.
C
Remember
that
certain
things
is
existed
in
cesm
or
existing
cesm,
so
that
when
one
in
case
you
need
them
in
the
future,
you
can
essentially
come
back
to
see
esm
and
try
to
figure
out
what
those
things
were
so
I'll
try
to
provide
brief
introductions
on
those
aspects
as
well,
so
starting
with
global
earth
system
models
and
how
cesm
fits
in
to
this
global
earth
system.
Modeling
context
so
I'll
try
to
cover
that
thing
briefly.
C
As
you
know,
global
earth
system
models
represent
a
virtual
laboratory
for
experimentation.
We
cannot
do
real
experiments
with
the
climate
and
we
have
only
one
essentially
sort
of
member
of
the
real
climate.
So
global
earth
system
models
provide
a
laboratory
framework
or
numerical
laboratory
framework
to
improve
our
scientific
understanding
of
observed
events
or
climate
change,
and
this
can
be
historical
or
paleoclimate.
C
We
can
use
the
models
to
simulate
future
climate
change
and
its
impacts.
Another
example
is
essentially,
we
can
use
them
to
make
predictions
of
weather
and
more
on
the
side
of
right
now.
That's
in
actually
emerging
science
area
on
climate,
or
perhaps
more
correctly,
earth
system,
variability
and
predictability
or
prediction,
and
this
the
time
frame
for
that
effort
covers
from
sub-seasonal
to
all
the
way
to
decade.
Decadal
time
scales-
and
these
are
essentially
mostly
referring
to
initialized
earth
system
predictions.
C
So
global
earth
system
models
use
physical
equations
and,
in
terms
of,
if
you
just
speak
to
the
ocean
and
the
atmosphere,
for
example,
they
would
be
navier,
stokes,
navier-stokes
equations
from
fluid
dynamics.
They
use
those
equations
to
simulate
key
fields
and
processes
in
the
atmosphere,
ocean,
land,
sea
ice
and
land
eyes.
C
These
equations,
of
course
these
are
continuous
equations,
but
they
are
discretized
on
a
model
grid
and
an
example
is
shown
here.
This
is
a
regular
lat
long
grid,
I'm
not
going
to
go
into
problems
associated
with
such
regular
lat
long
grids,
but
all
these
equations
are
discretized
and
you
end
up
essentially
solving
these
equations
at
particular
grid
points,
and
they
can
be
staggered
or
non-staggered.
There
are
various
methods
to
do
that,
simply
because
it's
impossible
to
solve
these
equations
at
really
small
spatial
scales.
C
It
is
just
too
costly.
We
end
up
discretizing.
These
equations
on
grids
usually
order
one
degree
in
the
horizontal,
so
that's
corresponding
to
order
100
kilometer
resolution.
That's
for
most
of
the
modeling
centers
100
kilometer
is
sort
of
the
workhorse
model
resolution
and
clearly
there
are
many
processes
that
are
shown
here
in
this
schematic
that
are
essentially
occurring
below
that
grid
resolution,
but
they
are
important
for
climate
so
that
we
we
need
to
include
their
impacts
in
the
in
in
the
model
simulations
and
the
way
to
do
that,
what
we
call
them
essentially
parametrizations.
C
Instead,
we
certainly
we
use
mesoscale,
for
example,
in
the
ocean,
and
some
middle
scale,
essentially
mixing
effects
through
parametrizations,
and
they
are
usually
parameterized
as
diffusive
processes
in
the
models.
So
cesm
is
one
such
model.
It's
one
such
global
earth
system
model
and
I
included
a
schematic
here
to
show
the
components
of
the
coupled
system.
We
have
the
atmosphere,
it
has
chemistry
and
it
has
a
high
top
and
low
top
version.
We
have
the
sea
ice
model,
we
have
a
land
ice
model.
C
We
have
an
ocean
model
and
it
includes
marine
biochemistry
we
have
a
model
for
incorporating
the
impacts
of
surface
phase.
River
runoff
model
exists
and
finally,
we
have
the
land
model
and
land
model
also
has
a
biogeochemistry
component.
These
individual
model
components
exchange
both
states
and
fluxes
through
a
coupler,
so
they
communicate
through
each
other.
C
For
example,
land
model
waves,
its
sort
of
wave
information
to
the
ocean
model
and
ocean
model
uses
that
wave
information,
for
example,
to
parameterize
or
to
incorporate
the
impacts
of
langmuir
mixing
and
external,
forcing
such
as
greenhouse
gases,
anthropogenic
aerosols,
volcanic
eruptions
and
solar
variability
are
essentially
incorporated
through
the
atmospheric
model
component.
Usually
we
have
in
the
ocean
model.
We
also.
We
can
also
account
for
geothermal
heating,
but
in
our
regular
applications.
We
do
not
use
that
feature.
C
A
coupled
sort
of
modeling
initially
started
as
just
atmospheric
ocean
two-component
system
and
that's
sort
of
in
mid-1960s
to
late
1960s,
and
you
can
see
that
over
the
years
they
evolved
a
lot.
They
included
many
additional
components,
such
as
the
sea
ice
components,
ice
sheet
recently
and
marine
ecosystems
they're
all
included.
So
there
is
an
increased
complexity
in
terms
of
additional
model
components.
C
But
if
you
look
at
the
right
upper
right
panel
here,
not
only
additional
component
models
came
on
board,
but
each
component
model
also
increased
in
their
complexity.
So
hopefully
you
won't
hear
I'm
at
home
in
the
basement
and
they're
cutting
our
yard
or
grass
out
there.
So
there
will
be
some
noise
coming
from
that,
the
so
each
individual
component.
C
This
is
actually
showing
as
a
function
of
time
the
model
complexity
and,
for
example,
if
you
look
at
the
atmosphere,
there
were
very
few
features
in
the
atmospheric
model
in
early
days
and,
as
you
can
see
by
the
thickness
of
these
sort
of
shades,
they
increase
in
their
complexity
as
well.
So
this
essentially
increases
the
cost
and
puts
more
pressure
on
your
on
your
resources.
C
Another
thing
that
you
need
to
consider
depending
upon
what
problem,
what
science
question
that
you
would
like
to
answer
is
to
consider
how
many
ensemble
members
you
would
like
to
essentially
perform
to
essentially
entertain
or
to
determine
your
signal
to
noise
ratio.
How
and
I'll
show
you
one
example
of
that
thing
later
in
the
talk
you
you
can
start
with
the
this
is
sort
of
I
mean
in
the
weather
scale.
It's
going
to
be
so-called
butterfly
effect
when
you
start
from
your
initial
conditions.
C
A
slight
perturbation
of
the
system
can
lead
to
different
sort
of
states
further
in
time
and
depending
upon
whether
you
want
to
essentially
assess,
for
example,
precipitation
likelihood
in
a
certain
region.
You
may
need
to
essentially
perform
multiple
ensemble
members
of
the
same
model
and
another
constraint
that
or
another
thing
that
you
need
to
consider
what
resolution
you
would
like
to
use
in
your
study,
and
this
is
essentially
showing
four
different
atmospheric
model
resolutions.
C
T
stands
for
triangular
spectral,
truncation
t85
is
roughly
1.4
degrees,
t-42
is
about
2.8
degrees
and,
as
you
go
to
t340,
these
are
essentially
less
than
order
a
few
tens
of
kilometers
in
the
atmosphere.
So,
if
you're
interested
in
essentially
higher
resolution
in
a
certain
region
or
in
the
globe,
essentially
you
need
to
consider
a
finer
resolution.
Of
course
it
comes
at
the
expense
of
more
computer
time,
and
that's
why
this
chart
is
given
here
or
this
schematic
here.
C
You
need
to
allocate
your
resources
based
on
what
science
question
that
you
want
to
answer.
Considering
how
complex
you
want
the
model
to
be
how
many
ensemble
members
you
would
like
to
have
and
what
resolution
you
would
like
to
have
and
some
modeling
enterprises
also,
you
can
do
regional
grid
refinement
and
in
our
atmospheric
model,
with
the
sc
spectral
element.
Dynamical
core
regional
grid
refinement
is
also
possible
and
you'll
hear
more
about
these
during
this
week,
another
so
just
back
to
cesm.
C
C
And
then
there
is
a
scientific
stream
committee
about
the
working
groups
and
then
we
have
also
an
advisory
board
at
the
top.
Essentially,
but
the
real
essential
ideas
come
from
from
below
at
the
working
group
level,
and
I
just
wanted
to
also
mention
that
the
cesm
project
has
been
in
existence
roughly
for
25
years.
So
it's
a
lot
of
experience
all
together.
C
C
C
C
An
example
of
this
thing,
for
example,
is
an
ocean
only
or
ocean
sea
ice
coupled
simulations
forced
with
atmospherically
analysis
products.
In
that
case,
the
atmospheric
model
is
simply
a
data
model
reads
in
the
data
sets
that
are
needed
to
force
an
ocean
model
or
ocean
sea
ice
coupled
model,
so
that
configuration
is
available.
C
We
have
other
simple
model,
simpler
model
configurations,
for
example
aqua
planet.
We
have
several
dynamical
cores
in
the
atmospheric
model
and
I'll
show
you
examples
of
that,
and
you
can
run
a
slab
ocean
model
for
some
applications
and
there
are
many
and
numerous
options
are
available
within
each
component
and
we
are
also
sporting.
An
increasing
number
of
component
sets
and
configurations
as
out-of-the-box
available
configurations
and
I'll
talk
about
a
little
bit
more
about
more
recent
efforts
on
simple
models
within
the
cesm
framework.
C
So
couple
modeled
into
comparison
efforts,
that's
cmip6,
so
just
to
make
sure
that
everybody
is
aware
of
this
effort.
As
you
know,
including
cesm.
Many
modeling
groups
overwriting
right
now,
40
modeling
groups
are
participating
in
this
effort,
cmf6
effort
what
it
is,
what
it
is
actually
quite
time-consuming
both
it
requires
both
computational
resources
and
people
resources.
C
Also,
it
essentially
involves
at
the
core
so-called
deck
simulation
that
stands
for
diagnostic
evaluation,
characterization
of
klima.
It
requires
essentially
each
model
in
group
participating,
modeling
group.
It's
like
an
entry
card.
You
need
to
run
order
500
years
at
least
the
pre-industrial
control
simulation.
C
One
percent
co2,
increased
experiment,
quadrupling
instantaneous
coupling
the
quadrupling
of
the
carbon
dioxide
company
concentration
and
emip.
These
are
atmosphere-only
simulations,
in
addition
to
that,
cmip
is
essentially
is
designed
to
address
certain
scientific
questions,
and
it
has
certain
themes,
and
these
themes
are
given
here:
systematic
model
biases
and
you
can
try
to
address
those.
There
are
certain
studies
looking
into
variability
predictability,
predictions
and
future
scenarios,
and
you
can
also
look
at
response
to,
for
example,
external,
forcing
and
around
those
themes.
C
There
are
so-called
endorsed
model
intercomparison
projects,
and
there
are
many
of
them
and
cesm
actually
participated.
Some
of
you
may
be
familiar
with
these
modeling
comparison.
Projects
csm
participated
in
about
20,
plus
inter-comparison
projects,
and
we
provided
essentially
two
sets
of
model
simulations
for
cmh6.
C
The
first
more
extensive
set
uses
our
nominal
one
degree,
horizontal
model
resolution,
and
we
participated
both
with
low
top
with
limited
chemistry.
That's
the
camp
six
model
version,
community
atmosphere,
model
version
six,
and
then
we
also
participated
with
higher
top
and
with
more
extensive
chemistry
model
version
for
the
atmospheric
component.
That's
the
vacuum,
all
atmospheric
community
climate
model,
for,
as
I
said,
for
cheaper
applications
or
maybe
paleo
studies
that
can
be
used
for
period
applications.
We
also
participated
and
created
and
participated
a
two-degree
atmospheric
model
version.
C
All
the
other
components
are
using
the
same.
There's
like
the
ocean
and
the
sea.
Ice
models
are
still
using
one
degree.
Atmospheric
model,
sorry
one
degree
horizontal
resolution,
but
the
atmospheric
model
is
a
two
degree
a
resolution
here,
and
these
are
all
available
to
the
community
and
if
you're
interested
in
learning
more
about
these
solutions,
we
have
actually
an
agu
csm
special
virtual
special
issue.
C
We
are
expecting
total
70
masters
for
this
purpose.
40
of
them
are
already
published
or
submitted,
and
you
can
essentially
go
to
this
website
and
then
find
all
of
these
all
of
these
manuscripts,
the
ones
that
are
published.
They
have
a
doi
number,
the
ones
that
are
still
in
review
they're
also
available,
and
you
can
get
their
pdf
copies
here
and
the
primary
overview
manuscript
is
the
community
or
system
model
version
2..
I
was
the
lead
author
for
that
and
that
has
been
available
from
the
website
as
well.
C
C
They
are
essentially
producing
a
larger
equilibrium,
climate
sensitivity
than
their
previous
versions,
and
for
those
of
you
who
are
not
familiar
with
what
equilibrium
climate
sensitivity
is,
it
simply
represents
equilibrium,
change
in
surface
temperature
when
co2
is
doubled.
So
you
take
the
pre-industrial
control
simulation.
It
has
a
certain
level
of
co2,
you
double
it.
You
run
it
to
equilibrium
and
then,
when
you
at
equilibrium,
you
look
at
your
surface
temperature,
you
difference
it
from
the
beginning
state
or
the
pre-industrial
level,
and
that
gives
you
the
equilibrium
climate
sensitivity
in
practice.
C
Of
course,
it's
not
possible
to
run
it
for
thousands
of
years.
These
models
they
take
too
much
too
much
too
many
resources.
So
you
try
to
come
up
with
an
estimate,
and
I
just
this
is
a
chart
from
a
paper
by
jerry
neil
at
all.
It
shows
equilibrium,
climate
sensitivity
as
a
function
of
transient
climate
response.
Transient
climate
response
is
a
lot
easier
to
obtain,
and
perhaps
it's
more
relevant
for
society.
C
It
simply
represents
you.
You
run
one
percent,
co2
increase
experiments
and
you
look
at
your
eq.
You
look
at
your
surface
temperature
at
the
time
of
co2
doubling
and
difference
from
the
original
state,
and
that
is
the
transient
climate
response.
The
bottom
line
here
is
that,
in
all
the
older
versions
of
the
models
equilibrium,
climate
sensitivity
was
not
really
larger
than
four
and
a
half
degrees
and
in
the
new
model
versions
they
are
now
in
excess
of
four
and
a
half,
in
fact,
over
five
degrees.
C
In
quite
a
few
of
the
models
and
sort
of,
I
circled
the
csm
solutions
here,
and
they
are
there's
no
single
sort
of
silver
bullet.
Why
that
this
increase
happened?
What
we
found
is
essentially
in
our
studies,
small
changes
to
cloud
microphysics
and
boundary
layer
parameters
can
essentially
lead
to
these
increase
in
equilibrium,
climate
sensitivity
and
what
happens
over
the
southern
ocean
magnitudes
appear
to
be
quite
important
regarding
cloud
feedbacks,
so
I'm
sure
that
you
either
heard
about
this
thing
or
you'll
hear
more
about
it.
C
C
You
want
to
be
on
the
red
side
here:
blue
numbers
or
green
numbers,
especially
blue
numbers-
are
not
so
good,
so
I
just
wanted
to
essentially
highlight
that
in
the
top
10
roughly,
I
I
believe
of
the
our
four
csm
contributions
are
highly
rated
and
meaning
that
the
csm
model
simulations
are
among
the
top
couple
model
simulations
in
representing
observations
based
on
observational
based
analysis
or
results
or
reanalysis
products.
So
it's
quite
good
for
cesm,
and
this
is
available
also
in
a
paper
by
john
fosulo.
C
Okay.
So,
what's
going
on-
and
I
just
want
to
provide
some
brief
updates
now
we
have
essentially
the
main
csm2
2.0
version
of
the
model
was
released
in
summer
of
2018
and
since
then
we
have
had
three
what
we
call
incremental
releases.
These
are
not
answer
changing
releases.
They
are
essentially
adding
more
out
of
the
box
configurations
available
to
the
committee
and
we're
anticipating
that
there's
going
to
be
another
release
in
september
next
month,
and
this
is
going
to
be
an
answer
changing
release.
C
It's
going
to
include
some
additional
features
on
top
of
what
we
had
released
earlier
and
there
are
some
changes
in
the
land
model
or
new
functionalities,
for
example,
and
then
the
ocean
model
is
going
to
also
include
a
version
of
its
new
ocean
component
modular
ocean
model
version.
Six,
that's
mum,
six
and
I'll
mention
a
slide.
You
show
a
slide
on
that
at
the
end
another.
C
Large
ensemble
they'll
be
available
to
the
community,
and
we've
been
actually
doing
quite
well
in
terms
of
our
predictions.
This
is
showing
essentially
two
meter
air
temperature
skill
skill
is
shown
here,
so
budget
number
is
good
and
from
several
modeling
groups,
csm
results
are
shown
in
blue
here
and
we
are
doing
much
better
than
some
of
the
other
center
skill
reported
by
some
of
the
other
centers
prediction
systems.
C
On
the
decatural
time
scales,
we
have
a
40-member
large
ensemble,
and
this
is
essentially
being
used
a
lot
by
the
broader
community,
both
at
the
national
level
and
international
level,
and
I
wanted
to
show
you
just
one
quick
example
here:
this
is
showing
skill
in
summer
precipitation
over
the
sahel
region
here
in
this
box
region
over
three
to
seven
year.
Let's
say
roughly
five
year
lead
times.
C
The
top
panel
here
is
the
anomaly
correlation
coefficient
is
shown
as
a
function
of
ensemble
size.
The
blue
line
here
is
uninitialized
predictions
or
uninitialized
simulations.
They
are
not
predictions
and
it's
just
uninitialized
runs.
You
don't
expect
any
skill
necessarily
and
the
decade
of
prediction.
Large
ensemble.
The
red
line
here
is
from
our
initialized
system,
so
for
this
metric
it's
easy
to
beat
the
uninitialized
system,
so
there
is
no
issue
there,
but
another
important
metric
for
prediction-
simulations
is
so-called
persistence.
C
C
You
need
30
ensemble
members,
so
this
is
essentially
showing
an
example
of
why
you
need
multiple
ensemble
members
and
of
course
this
depends
upon
geographical
region
and
the
field
that
you
are
looking
for,
and
this
is
showing
a
comparison
of
our
decadal
prediction
system.
Blue
is
uninitialized
red
black
is
the
orbs
in
this
case,
and
then
the
red
is
our
decadal
prediction
system.
So
it's
doing
quite
well
in
terms
of
essentially
predicting
the
sort
of
low
frequency
signals
in
precipitation
in
this
region.
C
Okay,
I
I
mentioned
earlier
that
you
may
need
multiple
ensemble
members,
and
this
is
just
to
show
an
example
of
that.
As
I
mentioned
earlier,
we
have
csm1
large
ensemble
simulations
available
for
communities
use,
and
I
wanted
to
show
you
what
I
meant
by
that.
So
what
is
shown
here
is
the
sea
surface
temperature
variability
with
a
focus
in
the
north
atlantic.
It's
usually
referred
to
as
atlantic
multidecadal
variability,
but
you
don't
need
to
know
that
the
top
four
lines
here
or
four
panels
here
from
left
towards
right
are
observational
or
re-analysis.
C
Based
estimates
of
sea,
surface
temperature,
anomaly
its
low
frequency
component
and
what
is
shown
in
the
remaining
20
panels
is
just
by
changing
the
atmospheric
temperature
field
in
the
16
digit.
In
its
initial
conditions,
you
can
get
different
representation
of
this
variability,
as
shown
here.
So,
if
you're
interested
in
what's
happening,
for
example,
in
the
south
atlantic,
this
is
showing,
for
example,
cold
anomalies.
C
This
is
showing
warm
anomalies,
so
you
need
to
be
able
to
run
multiple
ensemble
members
to
get
some
confidence
on
which
one
is
essentially
more
likely.
So
that's
why
you
may
need
to
use
it
multiple
ensemble
members,
but
I
wanted
to
highlight
that
this
kind
of
product
is
available
for
everybody
to
use
in
c
for
the
community.
C
Indeed,
you're
essentially
performing
a
new
large
ensemble
csm.
True
large
ensemble,
it's
in
collaboration
with
our
colleagues
in
south
korea,
the
previous
large
ensemble,
was
performed
only
with
40
ensemble
members.
This
new
one
is
going
to
be,
is
being
performed
rather,
if
for
we
will
be
producing
100
ensemble
members,
this
is
like
the
older
slide.
Actually,
right
now
about
half
of
it,
half
of
the
ensemble
members
have
been
completed.
C
C
At
our
current
sort
of
research
level,
we
have
a
prototype
of
what
we
call
strongly
coupled
data
assimilation
system,
meaning
that
the
atmosphere
and
ocean
model
use
a
single
covariance
matrix
rather
than
two
independent
ones.
So
a
prototype
of
this
data
assimilation
system
within
the
fully
coupled
framework
is
running,
but
I
wanted
to
make
sure
you
understand
the
difference
here.
There
are
various
ways
of
performing
data
assimilation.
C
This
is
using
ensembl
common
filter,
meaning
that
each
component
model
requires
multiple
members
up
to
maybe
40
or
even
more
members
running
simultaneously
to
get
the
ensemble
spread,
correct
or
reasonable,
and
that
you
can
imagine
if
you
are
using
40
ensemble
members.
That
means
it's
going
to
cost
you
40
times
more
than
a
regular
coupled
system
to
run
this,
so
it
is
not
really
economical.
C
C
I
don't
want
to
go
into
many
details
here,
but
in
contrast
to
the
ensemble
common
filter
approach,
which
required
multiple
running
multiple
ensemble
members,
this
technique
is
essentially
requires
running
only
one
ensemble
member,
but
the
spread
is
essentially
based
on
some
previous
knowledge
of
possible
spread
that
comes
from
an
existing
simulation,
and
this
is
rather
affordable.
Even
at
high
resolution
frameworks
and
another
thing
that
I
wanted
to
mention.
C
We
do
also
have
a
high
resolution
version
of
the
model
and
the
results
from
this
are
already
available,
and
this
is
actually
a
collaboration
under
the
ihas
umbrella,
international
laboratory
for
high
resolution
earth
system
predictions.
It
is
between
us,
texas,
a
m
university
and
also
the
cinder
national
laboratory
for
marine
science
and
technology.
C
We
are
using
a
slightly
older
version
of
the
model
for
this
purpose.
Csm
1.3,
the
code
base
has
been
substantially
rewritten
to
run
on
the
machines
in
china.
They
are
sunway
systems,
they
are
somewhere
in
between
cpu
and
gpu
based
systems
and
that
code
base
is
available
and
then
the
manuscript
has
been
recently
accepted.
I
believe
I
think
it's
accepted
in
a
gmd
geoscientific
model
development
and
if
you
are
interested
in
using
these
data
sets
what
we
have
is
a
500
year
pre-industrial
control
simulation.
C
We
have
a
1850
2100
transient
simulation
run
with
rcp
8.5
scenario.
We
have
an
80
year,
1
co2
increase
run
and
we
have
also
4
cycles
of
ocean
sea
ice
coupled
forced
pinecast
simulations
for
the
1958
2018
period.
As
of
july
june,
8th,
we
made
some
of
these
simulations
already
available.
I
should
also
mention
that
we
have
also
completed
contributions
for
high
resmed
130
year:
18
1950
control,
1950
2050,
transient
simulation
and
1950
2050,
just
atmosphere
only
simulation
and
its
corresponding
low
resolution.
C
Simulations
are
also
available,
so
some
of
the
simulations
were
made
available
solutions
available
on
june8.
The
rest
of
the
data
sets
will
be
available
by
the
end
of
this
year
and
there's
a
manuscript
already
just
submitted
actually,
and
you
can
find
that
manuscript
from
the
ihas
website,
if
you
type
ihas
on
google
you'll
get
that
get
to
that
webpage,
okay
towards
csm3.
So
this
is
the
last
part
of
the
talk,
and
I
just
wanted
to
give
you
an
idea
about
where
we
are
going
in
our
model.
C
So
we
are
essentially
developing
idealized
modeling
toolkits.
This
is
going
to
make
it
a
lot
easier
to
essentially
know
what
idealized
model
configurations
available
within
cesm
we'll
be
also
developing.
Some
new
idealized
model
configurations,
such
as
extensive
extensions
of
the
single
column
ocean
model,
what
I
call
pencil
model
that
will
be
hopefully
including
the
ekman
component
as
well,
but
it
is
going
to
be
essentially
a
nice
framework
to
figure
out.
C
C
Another
thing
that
we
are
actually
looking
into
is
changing
our
atmospheric
dynamical
core
from
the
present
regular
lat
long
finite
volume
dynamical
core
and
we
are
considering
three
options.
One
is
the
ac
dye
core
that
stands
for
spectral
element,
dynamical
core,
it's
a
highly
scalable
hydrostatic
dynamical
core
and
you
can
essentially
do
grid
refinement
with
that,
and
it
can
run
also
physics
on
a
separate,
usually
coarser
grid
for
uniform
grid
applications
as
well.
C
We
also
so-called
finite
volume,
3
fe3
dynamical
core,
that's
again
in
the
cube
sphere,
version
of
the
regular
latino
finite
volume,
dynamical
core
and
the
third
dynamical
core
is
ampas.
That
is
an
irregular
grid.
Dynamical
core-
and
it's
shown
here
in
a
sort
of
hexagonal
grid
configuration
here
in
the
lower
panel,
so
we'll
be
having
some
sort
of
a
backup
in
this
dynamical
cores,
either
later
this
year
or
likely
early.
Next
year
and
as
I
alluded
to
earlier,
we
are
also
changing
our
ocean
model
from
pub2,
which
is
used
in
cesm2.
C
So
it
is,
we
are
trying
to
learn
how
this
model
behaves.
Essentially,
lots
of
documentation
and
training
opportunities
are
possible.
We
are
conducting
webinars
to
sort
of
make
sure
that
people
know
about
this
thing
and
there
are
certain
practical
cases
use
cases
available
on
the
website
as
well,
and
if
you
have
more
questions
about
this
thing,
gustavo
is
one
of
the
organizers
of
this
tutorial.
C
Okay,
with
that
40
minutes
exactly,
and
I
would
like
to
stop-
and
I
just
wanted
to
show
you
the
similar
pictures,
what
gunter
showed
if
it
weren't
for
the
virus,
we
would
be
actually
in
this
building
up
here,
conducting
this
tutorial
in
the
main
seminar
room.
In
any
case,
thank
you
for
your
attention
and
if
you
have
any
questions
I'll
be
happy
to
take
them
now.
Thank
you.
B
B
C
Well,
not
quite
because
we
are
still
sporting.
In
fact,
we
changed
our
recent
data
policy
to
support
some
of
the
earlier
code
versions,
going
all
the
way
back
to
ccsm4
roughly
10
years
ago,
and
there
are
several
reasons
for
that
is
university
users,
like
graduate
students
and
all
that
stuff
work
with
their
older
versions
of
the
model.
C
The
second
reason
is
that
csm1,
for
example,
decado
predictions
and
the
large
ensembles
are
still
using
csm
1.1
code
base
and
that's
roughly
10
years
old
and
that
they
are
also
being
still
supported,
and
similarly
our
high-res
stimulation,
csm
1.3,
almost
eight
years
or
nine
years
old,
and
we
are
still
sporting
that,
because
that's
the
only
high-res
version
that
we
have
right
now.
So
they
are.
I
guess
the
short
answer
is
yes,
we
are
sporting,
the
older
versions
within
reason,
though,.
B
E
A
Email,
because
I'm
curious
about
how
you
do
coupling
and
one
thing
the
question
I
have
is
that,
if
you're
using
different
initial
conditions,
for
instance
ocean
realities
and
atmospheric
analysis,
how
do
you
make
sure
that
those
initial
conditions
are
consistent?
Do
you
like
use
a
protocol?
Do
you
check
that
before.
C
Unfortunately,
we
don't
have
anything
automated
at
this
point
and
you
need
to
be
really
careful
as
a
user
how
to
do
that,
for
example,
from
the
ocean
side.
If
the
d.a
product
the
analysis
product
is
performed
using
our
ocean
model,
then
there
is
no
issue,
because
then
it's
done
in
a
consistent
way.
However,
we
have
also,
in
fact
I've
done.
I've
done
that
in
the
past
as
well.
C
You
need
to
make
sure
that
the
temperature
and
salinity
are
properly
filled
in
in
case
there's
a
new
sort
of
ocean
bottom
top
of
the
ocean
regions
due
to
changes
in
bottom
topography.
But,
more
importantly,
you
need
to
obey,
for
example,
in
the
ocean
model
barotropic
or
a
clinic
split.
You
need
to
make
sure
that
the
vertical
integral
of
paraclinic
mode
is
essentially
zero
and
the
vertically
integrated
of
integrated,
total
velocity
adds
up
to
the
barotopic
mode,
and
you
have
to
unfortunately
do
those
things
offline
and
make
sure
that
everything
is
consistent.
A
C
I
showed
that
slide
on
couple
data
assimilation,
that's
one
of
the
ways
that
you
can
avoid
inconsistency
between
the
two
systems
and
I
think,
whatever
you
do,
there's
going
to
be
some
kind
of
initialization
shock
of
the
system
that
you
need
to
essentially
be
careful
in
the
interpretation
of
early
part
of
the
results
and
it'll
likely
end
up
using.
I
mean
you'll
end
up
likely
using
bias
correction
for
that
purpose.
F
C
So
that
was
actually
not
mom,
that
was
the
atmospheric
dynamical
core
options
essentially,
but
so
that
is
empass
atmos,
that
is
the
empas
and
it's
own
irregular
grid.
One
advantage,
essentially
of
that
configuration
is,
you
can
do
regional
grid
refinement
in
any
way
any
any
region
that
you
would
like
to
have.
So
that's
one
advantage,
but
it's
not
necessarily
the
grid
structure
per
se.
It's
essentially
off
that
system,
it's
an
irregular
grid
and
it
allows
you
to
do
that.
I
guess
it
comes
with
the
grid.
So
that's
one
big
advantage.
C
So
that's
that's
one
beauty
of
it,
but
it's
very
expensive
because
it's
irregular,
you
don't
know
where
your
nearest
neighbor
is
and
it
computationally
becomes
extremely
expensive
and
also
potentially
it
can
represent
the
coastal
regions,
for
example,
much
better.
You
can
essentially,
for
example,
you
can
do
grid
refinement
in
let's
say
in
gibraltar
region.
You
can
put
a
lot
of
grid
there
with
large
higher
grid
resolution
and
then
make
it
coarser,
so
it
will
essentially
adjust
the
coastal
regions
or
adapt
the
coastal
regions
a
lot
better.
C
B
A
Hear
me:
yes,
yes,
yeah
thanks
for
the
lecture-
and
you
know
you
mentioned
in
the
refinement
when
we
need
a
higher
resolution,
we
can
do
refinement
for
a
certain
region
and
meanwhile
we
can
also
use
regional
climate
model.
So
I
wonder,
what's
the
difference
between
the
two
approaches
and
what's
the
pros
and
cons
of
them.
C
Well,
the
biggest
part
that
I
can
think
of
right
now
is
essentially
when
you
do
regional
refinement
in
a
global
modeling
context.
You
allow
too
fa
a
two-way
grid.
Interaction,
so,
in
other
words,
what's
happening
in
the
in
the
in
the
regional
in
the
refined
area,
can
directly
communicate
without
any
sort
of
ad
hoc
issues,
and
everything
is
done
in
a
conservative
way
in
a
sense
because
it's
within
the
same
system
within
when
you
do
it
in
a
regional
couple
model.
In
fact,
we
do
have
a
regional
couple
model
version
of
it.
C
It's
essentially
supported
by
texas
a
m
as
part
of
our
collaboration.
The
issue
is,
there
is
essentially
it
is
not
embedded.
If
it
is
not
embedded,
then
you
have
to
provide
some
kind
of
boundary
conditions.
Then
you
have
to
deal
with
the
sort
of
sponge
layers
and
all
that
stuff,
and
you
are
likely
at
the
mercy
of
the
boundary
conditions
that
you
are
specifying
at
that
point.
C
Even
if
it
is
embedded,
the
original
system
is
embedded
in
the
coupled
fully
coupled
system,
which
we
have
a
version
as
well
that
you
can
use.
Then
it
becomes
essentially
one-way.
Coupling
technically
some
people
call
it
two-way
coupling
because
of
the
ssd
interaction
with
the
atmosphere
in
that
finer
grid,
but
that's
in
my
view,
the
biggest
thing.
C
However,
a
big
disadvantage
of
regional
refinement
in
a
global
coupled
system
is
that
you,
if
you
do,
for
example,
north
authentic
refinement
it
you
end
up
essentially
spending
pretty
much
entire
your
computer
time
in
that
region.
In
any
case,
your
cfl
condition
will
likely
be
dictated
by
the
time,
step
or
grid
resolution
in
that
region.
So
you
are
going
to
be
paying
a
lot
of
computer
resources.
C
A
C
Which
one
I
see
here,
sam,
that's
the
isotope
enabled
version.
Is
that
what
yeah
I'm?
That
is
a
my,
so
you
can
essentially
talk
to
betty
and
esther
about
that
thing
and
you'll
get
more
accurate
information,
probably
from
them.
It
is
unfortunately
right
now
that
it
is
supported
only
an
older
version
of
the
model.
I
mean,
I
think
it's
supported
in
c
esm1
or
ccsm4,
I'm
not
100
sure
we
had
a
few
meetings
to
bring
all
of
the
features
of
the
isotope
enabled
version
to
a
more
recent
model
version.
C
Unfortunately,
there
is
some
work
going
on,
but
it
won't
be
completed
probably
for
another
year
or
so,
because
it
is
it,
it
was
more
expensive,
more
extensive
than
we
originally
thought.
So
I
think,
if
I'm
not
mistaken,
it's
csm4
or
csm1
based
at
this
point
and
that's
another
reason
that
we
need
to
essentially
provide
support
for
that
version.
B
A
B
B
B
Okay,
so
let's
go
ahead
and
start
with
our
first
q,
a
panel
which
will
be
moderated
by
cecil
annay
and
I'm
just
going
to
say
a
few
words
about
her
and
then
just
give
her
the
floor
as
she
will
organize.
This
sicilian
is
a
scientist
in
the
atmospheric
modeling
and
predictability
section
and
she's
deeply
involved
in
the
development
of
the
community
atmosphere
model
as
a
liaison's
atmospheric
model
working
group.
She
sees
the
climate
modeling
community
in
all
aspects
of
using
csm
and
cam
the
subject.
G
G
Okay,
then,
this
is
the
four
people
who
are
going
to
help
to
answer
your
question
today.
Then
there
is
rich
neil
with
I.
We
try
to
get
people
from
every
working
group.
Then
rich
neil
is
really
involved
in
the
development
of
the
atmospheric
model
working
group
he
used
to
be
the
co-chair
of
this
working
group.
G
Aila
is
involved
in
the
climate,
variability
and
change
working
group
and
she's.
The
co-chair
one
of
the
co-chairs
of
this
working
group,
simon
expertise,
is
the
chemistry
climate
she's.
The
liaison
of
this
working
group
and
mike
is
the
wacom
liaison
from
the
wakamoking
group
and
the
way
I
was
thinking
to
do
this.
It
was
I
people
post
some
question
online
and
we
are
going
to
go
through
these
I'm
going
to
show
the
question
here.
Sorry.
G
G
H
So
yeah
you're
right,
radiator
transfer.
We
probably
won't
modify
from
the
perspective
of
the
scheme.
I'm
sure
some
of
the
optics
are
kind
of
constantly
being
updated,
so
I
could
be
explicit
about
what
we're
doing
within
encar
within
the
atmospheric
section,
which
is
we're
focusing
on
aspects
of
improving
the
existing
club
scheme.
So
clubbers
are
cloud
layers
unified
by
by
normals.
This
is
a
high
order,
turbulent
scheme,
but
there
are
shortcomings
in
the
way
it
handles
momentum
and
the
process
is
associated
with
that.
So
that
will
be
a
focus.
H
It
seems
a
small
thing,
but
the
impact
is
undoubtedly
going
to
be
big
on
simulation
of
simulations.
The
second
thing
is:
we're
implement
we're
testing
at
least
a
unified
kind
of
boundary
layer
parcel
type.
You
know
you
could
imagine
a
convection
but
a
unified,
parcel
or
boundary
layer
turbulent
type
scheme.
It's
called
edmf
eddy
diffusivity
mass
flux,
so
the
eddy
diffusivity
is
the
boundary
layer
component,
and
that
is
that,
essentially,
the
formulation
merges
into
a
mass
flux
type
scheme
in
the
free
troposphere.
H
So
that's
the
kind
of
you
know
that
I
would
call
that
the
moist
turbulence
focus
on
the
microphysics
side,
where
it's
currently
a
two
moment
scheme
that
considers
distributions
number
concentration,
sorry
of
ice
and
liquid,
and
I
think
I'm
not
too
privy
to
that
exactly,
but
I
think
the
modification
that's
coming
is
considering
group
also
an
extra
categorization
of
ice,
and
so
that's
pretty
important,
I
believe,
in
intense
storms.
So,
as
we
go
to
high
resolution,
I
think
that'll
be
pretty
important.
I
think
that's
you
know.
H
A
G
I
G
Output,
it's
what
said,
yeah
oh
log
file,
I
didn't
yeah
yeah
yeah
and
it's
the
only
way
that
there
is
they
used
to
be.
They
will
pose
for
different
version.
But,
as
mike
said,
we
have
it
still.
The
model
became
too
complicated
with
too
many
different
options.
Then
you
have
to
generate
the
master
fill
list
on
the
fly
by
running
a
five
day
or
even
one
time,
step
run.
F
F
H
The
process
that
happens
is
that
to
form
so
for
condensation
to
form
relative
humidity
has
to
be
a
certain
magnitude,
but
also
there
has
to
be
a
presence
of
aerosols,
so
these
are
can
be
cloud
condensation
nuclei,
so
just
small
particles
dust
is
one
and
black
carbon,
for
example,
sulfates,
and
so
the
water
process
that
happens
is
you
know,
activation.
So
these
are.
These
particles
are
allowed
to
kind
of
condense
water
on
their
surfaces.
This
is
true
for
liquid
and
and
true
for
eyes.
H
They
can
also
perform
spontaneously
and
that's
called
homogeneous
nucleation,
whereas
the
the
first
process
I
described
was
heterogeneous
anyway.
The
the
idea
is
that,
with
this
two-moment
scheme,
that's
in
there
so
essentially
there's
a
mean
mass
of
liquid
and
ice.
Once
you
get
that
nucleation
and
then
there's
a
number
concentration,
so
it
says
how
you
know
it
basically
tells
you
how
the
distribution
of
the
particles
from
you
know,
small
to
large
associated
once
all
these
particles,
nucleate
and
essentially
there's
a
lot
of
physics.
H
There
that's
involved
in
terms
of
at
a
certain
mass
or
a
certain
size
that
they
reach.
Then
they
fall
out.
So
it's
called
order,
conversion
and,
and
then
an
additional
process
of
that
is
the
collection
of
cloud
water
as
they
fall,
so
the
large
particles
fall
and
they
fall
through
cloud
below
them.
Ice
ice
is
a
little
bit
different,
but
this
is
stressfully
liquid
and
then
essentially
you
know
that
that
can
fall
through
the
ground
and
also
start
to
re-evaporate
near
the
surface
when
in
clear
air.
H
So
that's
a
you
know
very
basic
examination,
and
these
are
all
process
rate
limited.
So
you
you
could
imagine
that
if
you
have,
you
can
activate
these
cloud
particles
at
a
much
lower
relative
humidity.
It
could
be
a
tuna
tunable
parameter,
but
also
a
number
of
these
processes.
You
know
such
small
scale.
Everything
is
parameterized
from
the
smallest
scale
and
the
like.
I
say
there
are
a
number
of
rate
constants
re
of
operation
rates,
et
cetera
that
can
be
modified.
G
E
Everyone
know-
maybe
it's
about.
You
know
the
spin
up.
How
do
we
actually
say
set
up
a
model
run
a
b
case.
If
we
change
the
code,
meaning
you
know,
suddenly
you
change
the
code.
Can
you
still
apply
it
and
what
we
usually
do
is
start
with
a
pre-industrial
control
simulation
to
make
sure
that
the
model
is
balanced.
G
E
Well,
the
thing
is
that
what
we
do
for
fires
right
now
is:
we
are
emitting
fire
emissions
that
are
prescribed
so
those
fire
emissions
will,
of
course,
then
impact
the
clouds
and
directly
and
indirectly
change
the
climate,
and
that's
basically
only
about
emissions.
You
can
change
them
and
then
you
get
a
different
effect.
Maybe
this
question
may
be
also
about
interactive
fire
modules.
You
know
the
model.
Can
the
land
model
can
also
calculate
the
area
burnt,
meaning
that
you
can
directly
produce
fire
emissions
from
the
land,
and
that
goes
in
the
atmosphere.
F
D
G
E
G
E
I
mean
in
in
terms
of
nudging,
what
we
do
is
only
dynamics,
so
we're
not
nudging.
Atmospheric
fields
like
you,
know,
co
from
satellite
or
something
like
that
and
the
idea
is
you
take
the
winds
and
the
temperature
or
depending
on
the
kind
of
nutrient
surface
fluxes
and
in
order
to
reproduce
the
same
ideology.
E
And
then,
if
you
want
to
look
at
changes
in
chemistry,
you
have
a
consistent
way.
You
know
you
have
actually
the
observed
meteorology.
You
can
then
compare
to
observation
of
chemistry,
but
we
are
not
matching
the
chemistry
variables.
Data
assimilation
really
is
something
like
you
start
with
a
free
running
model,
and
then
you
assimilate
temperature
fields
or
other
fields
into
the
model.
That
then
will
go
closer
and
the
winds
and
everything
will
develop
closer
to
the
observed
state.
E
Yeah
just
to
add
on
that
yeah
you
run
the
chemical
forecast,
the
webcam
forecast
and,
in
addition
to
just
what
mike
said,
it's
also
for
aircraft
campaigns
for
recent
campaigns.
Looking
at
things
like
existing
conditions,
comparing
to
observations
and
also
looking
at
four
aircraft
campaigns
being
able
to
look
at
not
only
what
the
wind
field
looks
like,
but
also
what
will
be
the
chemistry
looking
like
up
to
10
days
ahead.
F
Yeah,
you
can
also
just
use
it
to
look
at
the
influence
of
one
region
on
somewhere
else,
so
you
could
nudge,
for
example,
the
stratosphere,
either
towards
the
observations
or
towards
another
model
simulation
and
see
what
was
the
influence
of
those
circulation
anomalies
in
the
stratosphere
on
the
troposphere
or
you
could
do
nudge
the
tropics
and
see
what's
their
influence
on
the
extra
tropics.
So
you
could
nudge
locally
in
different
regions
and
see
their
impacts.
G
G
H
H
If
somebody
yeah,
I
can
say
something-
and
I
don't
know
if
peter's
on-
but
I
can
definitely
say
something
so
so.
The
hydrostatic
atmosphere
supports
gravity
waves
and
a
good
way
to
see
this.
Actually
they
generally,
the
flow
is
generally
very
well
balanced
that
they
don't
have
a
very
large
influence
on
the
flow,
pretty
small
attitude,
as
you
say,
but
a
good
way
that
you
can
see.
These
is,
if
you
do
kind
of
these
initialized
simulations.
H
F
The
gravity
waves,
sorry
yeah
gravity
waves,
though,
are
important
in
the
stratosphere,
and
when
you
have
a
high
top
model,
you
have
to
parameterize
them.
So
you
have
flow
hitting
the
topography,
and
you
also
have
fronts
and
they'll
generate
gravity
waves
that
are
parametrized
and
the
drag
is
deposited
higher
up
to.
I.
F
G
I
That's
part
of
this
tutorial,
where
we
talk
about
how
to
modify
that
file
and
then
use
it
as
what
we
call
a
user
mech
in
file
so
that
you
can
specify
in
the
env
build.xml
there's
a
there's,
a
cam
config
options
where
you
can
specify
your
own
modified
chemical
input
file,
which
will
then
run
through
the
ket.
What
we
call
the
chemistry
preprocessor
and
create
new
versions
of
the
subroutines
that
handle
chemistry
and
so
for
gas
phase
reactions.
That's
pretty
straightforward
there.
I
There
are
three
different
ways
of
specifying
those
one
is
temperature,
independent
one
is
arrhenius
and
then
there's
the
the
three
body
tro
reaction
rate
for
photochemistry
for
photolysis
rates,
it's
more
complicated
because
those
are
specified
by
reaction
cross-sections.
So
you
need
to
have
cross
sections
at
all
the
wavelength,
bins
that
are
in
the
model
and
then
the
model
integrates
those
with.
After
multiplying
by
the
the
actinic
flux
to
calculate
photolysis
rates,.
G
Okay,
thank
you
mike
okay.
Then,
the
next
question:
it's
again
a
more
practical
session
question
we
can
find
some
supporting
atmospheric
grit
with
what
mesh
refinement
in
the
grid
resolution
definitions
page.
If
we
want
to
use
a
different
refinement
for
the
atmospheric
model
grid,
what
would
we
have
to
do
create
a
new
grid
hour.
G
E
E
Yeah,
I
can
add
that
we
do
have
four
chemistry.
You
know
we
have
the
music
of
version
zero,
which
is
basically
chemcam
for
that
we
designed
a
wiki
page,
and
in
that
wiki
page
we
are
compiling
information,
how
to
design
a
new
grid
and
how
to
then
also
produce
the
emissions
and
input
data
that
you
need
to
run
with
this
new
grid.
E
E
H
Oh
joey,
to
do
it
yeah
so
yeah
I
mean
it
probably
is
obvious,
but
just
so
people
are
aware
that
the
capability
we
have
with
a
new
dynamical
core,
the
spectra
called
the
spectral
element.
Dynamical
core
now
allows
us
to
run
a
global
simulation.
That
is,
it
doesn't
have
to
be
like
equal
resolution
everywhere.
It
can
now
have
a
focus
region.
An
example
is
over
the
u.s,
where
we
can
run
much
higher
resolution
there,
often
by
a
factor
of
8
or
16,
compared
to
the
rest
of
the
globe.
So
this
is
a
this.
G
G
F
A
F
It
what
was
asked
here,
coupling
the
single
column,
atmosphere,
model
to
a
single
column,
ocean
model,
but
more
generally,
there's
plans
to
make
tool
kits
for
coupled
idealized
modeling,
so
that
you
can
couple
any
configurations
that
you
want
together
as
long
as
they
can
be
so
and
then
we'll
have
tools
to
kind
of.
If
you
want
to
make
your
own
continental
configurations
or
bathymetries
within
the
ocean
to
set
up
your
own
coupled
idealized
configuration.
So
that's
definitely
something
that's
underway.
F
It
will
probably
be
a
a
year
or
two
before
the
tools
are
really
available
to
use,
but
we're
looking
for
people
to
test
them
as
we
go
along.
So
if
that's
something
you're
interested
in
definitely
get
in
touch
with
me,
it's
scott
bachman
is
leading
the
project
together
with
me,
but
I
can
I
can
forward
things
along
to
him
if
you
send
them
to
me.
G
F
F
I
don't
know
about
the
tropical
cycle
in
part,
but
csm
has
definitely
been
used
for
forecasts
from
sub-seasonal
to
decadal
time
scales
at
the
regular
resolution
so
and
those
are
available
and
I
think
yaga
richter
is
running
them
with
csm2
sorry
there's
available
with
csm1
at
the
moment,
so
it's
definitely
been
used,
but
more
for
for
intraseasonal
to
decadal
time
scales,
perhaps
less
so
on,
for
the
weather
phenomena.
But
maybe
rich
has
something
to
say
about
that.
H
Yeah
I
mean
yeah,
that's
that's
that's
my
understanding
too.
I
mean,
I
would
say
one
of
the
in
terms
of
running
weeks
to
months.
I
don't
think
we're
doing.
We've
done
full.
You
know
higher
resolution
fully
coupled
simulations
and
the
biggest
challenge
in
that
framework
is
how
is
how
to
initialize
the
model
and
what
to
do
with
the
fact
that
it
drifts.
H
So
if
you
initialize
a
fully
coupled
system
as
a
forecast
system,
what
will
happen
is
over
weeks
and
definitely
manages
the
system
will
generate
biases
in
the
ocean
which
look
like
the
biases
you
get
if
you
just
run
typical
climate
simulations
and
there's
a
lot
of
kind
of,
shall
go
into
the
details
but
manipulation
and
like
de-trending,
that
is
done
in
that
state
of
the
ocean
to
get
a
better
forecast.
Essentially,
so
that's
where
all
the
devil
in
the
detail
and
the
effort
is
right
now,
I
think,
and
for
our
tropical
cyclones.
H
G
Yeah,
maybe
you
have
to
go
up
against
this
one?
We
had
I'm
going
to
reload
to
make
sure
that
I
don't
miss
one
but
and
we
will
just
go
through
c
oops,
I'm
going
to
go,
I'm
going
for
the
one,
the
most
voted.
Okay,
this
one.
We
did
this
one.
We
did
this
one.
We
did
this
one.
We
did
this
one.
We
did
this
one
we
did
so
we
just
did
now
by
nudging
to
observation.
We
just
did
this.
G
E
Yeah,
so
musical
development
is
starting.
Basically,
what
we
have
is
a
cam
cam
regional
refined
grid
as
defined
as
music.
At
this
point-
and
I
just
posted
the
wiki
page
there-
we
are
trying
to
work
on
a
tutorial
and
the
best
thing
is
first
to
wait
to
the
next
release,
so
you
can
actually
use
the
release
version.
E
The
tutorial
that
we
have
done
so
far
was
just
an
internal
one,
but
we
will
have
some
tutorial
coming
up
and
that
will
be
either
totally
online
with
also
office
hours,
or
it
may
be
also
more
in-person
like
lectures,
but
that
hasn't
been
defined
yet
so
really,
this
wiki
page
should
be
your
first
start
and
then
we'll
post
more
after
the
release.
I
think.
G
Okay,
thank
you
simon
and
once
again,
if
you
have
more
questions
simon
post,
the
wiki
page
of
musica
in
the
chat
group,
I
don't
know
if
my
screen
is
showing
there
do
you
see
my
screen
there
or
yeah
simon
post?
If
you
go
in
the
chat
group,
and
if
you
want
to
ask
questions,
you
can
raise
your
hand
or
you
can
post
in
the
chat
group
too.
G
H
Take
this
I'll,
give
it
a
little
bit
of
a
go.
I
mean
so
radiative
transfer
is,
is
kind
of
a
special
breed
of
scientists
that
research
radiative
transfer.
I
know
that
we
have
used
simulate
done
simulations
with
at
least
10
times
co2
with
success,
it's
hard
to
know
whether
it
really
is
successful,
given
that
is
a
very
warm
state
that
exists
in
terms
of
the
problems
that
arise.
I
G
F
I
guess
the
main
the
main
difference
is
the
feedback
between
the
high
resolution
region
and
the
rest
of
the
globe.
In
the
regional
model.
You
have
to
specify
what
the
larger
scales
are
doing
at
the
outside
and
so
there's
no
interaction
between
the
high
resolution
region
and
whereas,
in
the
variable
resolution
one
you
can
have
two-way
interactions
between
the
higher
resolution
and
the
rest
of
the
globe.
F
H
H
You
know
boundary
features
and
kind
of
you
know
spurious
things
that
look
like
they're
right
on
the
boundary,
whereas
you
know
doing
the
regional
refinement
in
the
global
model,
it
tends
to
be
much
more
kind
of
continuously
stepping
down
between
the
low
and
high
resolution.
So
that's
that's
one
problem
that
it
helps
with.
It
doesn't
get
rid
of
it
completely,
but
it
does
help.
G
E
No,
I
was
just
gonna,
say
yeah,
so
there's
the
name
list
and
you
do
have
the
gases
and
well
error.
Salts
are
treated
differently
depending
on
what
type
and
what
model
you're
using.
If
you
use
chem,
for
instance,
well,
both
came
and
the
more
comprehensive
chemistry
have
the
same
black
carbon,
primary
organics
and
sulfate
emissions.
There's
a
difference
for
the
comprehensive
chemistry
runs.
So
why
can't
men
chem
can
force
secondary
organic
aerosols?
I
G
Then
right
now
we
are
not
updating
the
diagnostic
package.
As
this
we
are
moving
to
python
and
we
are
going
to
include
a
new
observational
data
set.
But
this
new
package
is
really
in
this
infancy
right
now
and
we
don't
have
fully
funding
to
do
this
effort,
then
yeah,
I'm
not
aware
of
the
data
set
that
we
will.
We
haven't
decided
the
data
set
we
will
include,
but
this
is
yeah.
This
is
the
status
right
now.
H
Yeah,
so
so
cam
if
the
dif
main
difference
between
cam
fv
and
camera
c
that
impacts
this
is
the
way
the
grid
is
set
up.
So
cam
fv
essentially
has
you
know
quasi-constant
latitude
and
longitude.
But
of
course,
as
you
get
towards
the
pole,
the
longitude
goes
down
to
some
tiny
value.
Of
course
it
goes
to
zero,
but
the
problem
with
doing
that
is
you
get
a
lot
of
noise
with
these
smaller
longitudinal
scales,
and
you
have
to
filter
that
and
to
filter
that
you
know.
H
Basically,
all
the
grid
points
have
to
communicate,
and
it's
that
communication
that
really
kills
you,
because
cam
se
is
a
quasar
uniform.
Essentially,
so
this
the
the
latin
long
is
just
about.
Of
course,
it's
a
it's
a
cube,
it's
not
quite
right,
but
it's
just
about
the
same
resolution
everywhere,
and
this
does
not
require
this
this
filtering
and
that
if
you
think
about
it
from
a
process
point
of
view,
the
processes
that
contain
the
elements
within
spectral
element
do
not
have
to
communicate
globally
as
at
all.
H
Well,
sometimes
they
do,
but
not
as
frequently
as
finite
volume.
So
when
these
processes
themselves
don't
communicate,
have
to
communicate
globally
as
frequently
then
that
it
they
paralyze
the
scale
much
better.
So
if
you
double
the
resolution
of
se,
then
you
get
very
good
scaling,
whereas
finite
volume,
the
burden
of
this
global,
called
a
global
gather
of
the
information
just
basically
makes
it
scale
terribly.
So
that's
the
there
are
other
reasons,
but
that's
the
main
reason.
G
I
So
the
the
solar
cycle
is
specified
in
the
atmosphere
name
list
via
input
files
and
wacom
has
two
additional
ones.
Cam
has
one
that
specifies
the
the
spectral
the
solar
spectral
irradiance
for
each
wavelength
bin
versus
time,
so
it
it
has
time
variability
in
it
and
when
you're
running
a
transient
run,
it
has
the
the
solar
cycle.
I
I
A
G
G
G
G
G
G
H
So
empires,
for
those
who
don't
know,
is
a
model
prediction
for
the
model
for
prediction
across
scales.
This
has
been
developed
by
another
lab
m
cubed
here
at
encore,
and
we've
been
trying
to
integrate
that
as
a
dynamical
core
into
cam
and
we're
pretty
close
along
the
line
far
along
the
line,
and
I
think
we
have
some
simulations
with
simple
physics
right
now
so,
and
the
next
step
is
to
do
full
simulations.
I
think
we're
pretty
close
to
that.
G
G
H
G
H
Yes,
so
that
is
true,
so
we're
12
kilometers,
we
experience
what
you
mean
by
develop.
We
have
done
with
these
the
regional
refinement
about
six
kilometers
or
about
half
of
this,
but
only
in
a
particular
region
without
with
all
models.
Of
course,
if
you
can
imagine
doing
a
six
kilometer
high
resolution
model,
it
is
extremely
expensive
to
run
and
one
has
to
think
about
the
the
appropriateness
of
the
parameterization
and
a
big
one
is
deep
convection,
so
is
that
a
pro?
G
F
A
Yeah,
actually
I
I
had
one
question,
but
now
I
have
two:
if
that's
all
right,
the
first
question
is
related
to
the
0.125
degree
grid.
Basically,
the
specification
of
the
maximum
resolution
for
spectral
elements
so
you're
saying
that
it's
possible
to
so
you're
saying
it's
possible
to
go
to
higher
resolution,
and
but
we
have
to
specify
basically
because
this
would
be
a
custom
grid
per
se-
are.
H
Generation
of
the
global
grids
is
not
difficult.
You
know
at
any
resolution
minus
I
don't
do,
but
my
understanding
is,
I
mean
the
complexity
comes
from.
How
appropriate
is
you
know
to
run
800
meters
or
something
in
a
global
simulation
with
the
physics
that
we
have
that
were
not
built
for
those
resolutions?
Okay,.
A
My
second
question
is
regarding
previously:
there
was
some
mention
of
apply
of
using
python
to
kind
of
using
using
python
in
a
csm.
Is
this
like
some
sort
of
wrapper
that
is
going
to
kind
of
replace
the
the
process
that
you
have
now
per
se
when
it
comes
to
specifying
parameters,
and
things
like
that?
Is
that
the
purpose
of
the
python
script
or
the
python
framework
that
you
are
talking
about
previously?
F
F
A
G
A
Hi,
thank
you.
I
have
sort
of
two
questions
where
they're
related
the
first
one.
Is
I'm
not
that
clear
about?
What's
the
difference
or
connection
between
a
dynamical
core
and
the
spatial
resolution,
and
the
second
one
is:
if
I
change
cam's
dynamical
core,
how
would
the
compatibility
be,
with
other
components
say
the
land
model,
because
I'm
not
aware
that
land
model
has
this
capability
to
spatial
to
regionally
refine?
H
Yes,
so
there's
a
definitely
a
definite
separation
in
the
model
between
the
dynamical
core,
which
deals
with
things
like
advection,
horizontal
diffusion.
Certain
processes
like
that
versus
the
physics.
So
the
thing
about
the
physics
is
every
column
is
independent
in
in
certain
respects.
So
it
doesn't
matter.
H
H
You
know,
co-located
with
your
regional
high
resolution,
atmosphere
and
and
so
on.
The
physics
side
doesn't
care
and
for
the
dynamics
they
just
they
just
the
numerix
just
operates
at
that
high
resolution,
like
no
problem,
so
there's
no
there's
no
technical
problem
with
the
with
the
grid
per
se,
particularly
with
land.
There
isn't.
G
A
H
That's
me:
yeah,
I
mean
it's
a
compromise,
as
you
can
imagine
you
know
you
can
run
it
at
a
very
high
resolution.
It's
much
more
accurate
but
of
course
the
other,
every
obviously
double
the
time
step
you
double
the
cost
of
the
dynamical
core,
so
it
comes
down
to
keeping
this
solution
stable.
Essentially,
so
you
don't
get
spurious
gravity
waves,
for
example,
particularly
around
a
rug
feeler.
G
A
Yes,
so
my
question
is
regard
it's
also
regarding
the
python
ncl,
the
switch
I've
been
using
ncl
to
visualize
the
csm
data,
the
output
csm
on
le
output
data,
so
I've
been
following
the
instructions
online
from
ncl
there's
lots
of
guidelines
on
cl,
but
since
now
uncar
is
switching
to
python.
I'm
wondering
if
there's
like
documentation
available
online
for
how
to
do
the
same
thing.
Using
python
like
the
same
functional
same
functions
as
using
cl
before.
F
E
Everybody
who
knows
python
like
the
users
to
help
us
with
that
as
well.
I
mean
over
this
musical
effort,
but
also
with
the
diagnostics
effort,
and
it
is
desirable
to
have
you
know
the
users
help
us
and
design
routines
and
kind
of
feed
them
to
us
as
well.
I
guess
we
haven't
quite
set
that
up
that
it's
possible,
but
maybe
that
would
be
something
desirable.
So
if.
A
F
H
So
the
important
thing
to
remember
think
about
ncl
is
it's:
it's
still
supported
for
a
while,
it's
just
not
being
developed,
so
there's
nothing
new
going
in
there,
so
there
is
support
as
it
and
yeah.
The
the
main
way
to
support
is
through
ncl
talk
which
will
exist
when
as
long
as
people
need
it,
I
think
so
it's
going
to
be
years,
not
months.
I
think,
on
the
python
side,
the
plan,
as
cecile
mentioned,
the
goal
with
the
the
computational
lab
here
is
to
have
this
geocache
capability
in
python.
H
So
these
are
python
routines,
but
they
were
only
gonna
kind
of
move
across
from
ncl
those
things
that
are
not
available
in
python
easily.
Already
in
another
package,
that's
my
understanding,
so
they're
not
gonna,
just
move
all
the
same
functionality
into
a
python
package.
They're
only
going
to
select
those
things.