General
Info
GCSS
WG2 (Cirrus) Model Inter-comparison Study
Introduction
We are
pleased to introduce the next GCSS WG2 (cirrus) inter-comparison. The previous inter-comparison study by WG2
illustrated that different cirrus models produce vastly different results for
IWP in time even for an idealised case study.
The order of magnitude variation was not anticipated based on the
published literature leading up to the inter-comparison. A degree of grouping was noted separately
for bin and bulk models and a strong dependence was noted on the fall-velocity
of ice. Significantly different
behaviour between these groups of models was noted in terms of the fall-velocities
and the vertical profiles of ice. The
last inter-comparison was an idealised case and so did not provide for an
opportunity to compare results to observations.
To build on
the past results, there is much interest in a cirrus case that is well grounded
in observations. This current inter-comparison has made this a focus. The aim in choosing the new case has been to
use a case with a wide range of observations available, including extensive
remote sensing and in-situ observations.
We have chosen the cirrus observed on March 9th 2000 during
the IOP at the ARM Southern Great Plains (SGP) site for this new
inter-comparison.
Case Overview
There was
an IOP for the month of March in 2000 at the SGP ARM site. Two key objectives in the IOP were:
•
Document
the 3d distribution/evolution of the cloud field as it advects
through a volume
•
Characterize
the evolving cloud properties in a CRM grid square
There was
cirrus observed on the 5th, 6th, 9th, and 13th. The 9th stands out in terms
of having good aircraft observations and remote sensing results. The cirrus observed by the MMCR radar for
the 9th is shown below:

Fig 1 MMCR Radar for March 9th 2000 (Mace)
On the 9th March, there was a SW jet to the west of the ARM SGP Central
Facility (CF). The cirrus developed in
disturbance just the west of the CF and advected
directly over the ARM site. The cloud
arrived at the CF at 14:00 (UTC) and is observed for several hours as it advected over the site.
In situ observations of cloud were taken by the UND Citation using PMS,
CPI, CVI, FrostPoint Hyg.,
and Turb probes.
Ground based remote sensing was performed using ARM operational and
supplemental instruments. Mace has
performed analysis of this case and has supplied IWC, number concentration,
effective radius, mean length, and mass squared and mean mass weighted fall
velocity profiles for the case. Analysis
of the size distributions and CVI observations have been provided from Heymsfield.
The ARM radiosondes were launched every three
hours from five sites. A sample profile
is shown in Fig 2.

Fig 2 Sample profile
The radiosonde data was used in conjunction
with profilers in an objective analysis (OA) by Zhang et al. The OA shows a weak lifting at the CF at
the time of the cirrus formation. Regional
models, however, do not show a lifting and exhibit a quiescent atmosphere or
very slight downdraft. Since the large
scale flow upstream from where the cirrus forms encounters the Rocky Mountains,
we have investigated the origin of the cirrus to most likely result from
gravity waves resulting from the flow over the mountains. The 3DVOM model has been run (Ross and Yang)
to assess the gravity wave influence and it agrees with the OA in terms of the
strength and location of the weak regional updraft at the CF site and upwind
where the cirrus forms. We use the
gravity wave results as a forcing to generate the cloud for the
inter-comparison. A plot of the gravity
wave spatial distribution is shown in Fig 3

Fig 3. Gravity wave forcing from 3DVOM (Ross and
Yang) at cloud height. The scale is in
m/s.
Model Simulations
Satellite
observations show that the cirrus forms at about 14:00 (UTC) on March 9th,
upstream from the CF. It then advects for 3.5 hours, intensifying especially as it crosses
the CF at about 17:30-1800.
In order to
keep the simulations as simple as possible and not computationally demanding,
we have chosen to do 2D model simulations using a 10km x 20km (horizontal x
vertical) domain for the period from formation of the cirrus cloud to when it
crosses the CF. The simulation is
semi-Eularian in that the whole domain at time zero
is exposed to the conditions of the cirrus at the formation location. The domain is then forced by the spatial
variation of the gravity wave as the domain advects
to the CF. In our model, we specify the
start time to be when the cloud forms upwind from the CF. We apply a gravity wave forcing according to
the results from 3DVOM model results. A
plot of the gravity wave forcing taken from Fig 3 between the location where
the cirrus forms, through the CF, and downstream is shown in Fig 4. This is the forcing that is applied in our
2D simulation. On the vertical is
ascent rate in m/s and the horizontal is the spatial coordinate. The left end of the plot is the location of
the cirrus formation and the right side is the location of CF.

Fig 4. Gravity wave forcing from 3DVOM (Ross and
Yang).
The initial
profiles are taken from the CF site and projected upstream to the location where
the cirrus forms, accounting for the influence of the gravity wave on the
profiles. We know that the cloud forms
at this point and so a slight adjustment to the temperature (within the
variation noted at different radiosonde locations)
was applied so that the water vapour (wv) is slightly
ice supersaturated. We specify a
small ice super-saturation of 10% at the start time and then allow the
simulation to evolve under the influence of the gravity wave forcing shown in
Fig 4. We chose 10% so that the cloud
forms at the correct location and yet it does not significantly influence the
cloud amount at later times. We tested
this by omitting the GW influence in a test run and it shows a weak cloud
formation and quick dissipation. Any
weaker and the cloud is delayed in forming.
Our main simulations are run with the GW forcing and show the formation
begins at the first time-step and development of the cloud coincides with the
GW forcing, as expected. We begin the run with initial random perturbations specified
in the case setup.
We use a
Fu-Liou radiation model for the solar (6 bands) and
IR (12 bands) simulation. We expect
participants to switch off their radiation schemes and use our heating rates as
an applied forcing. We provide the
heating rates with updates every 5 minutes.
We have performed runs for updates every 2, 4, and 5 minutes and the
resulting profiles of IWC agree with one another and with the on-line radiation
runs.
Part 1 of
this inter-comparison will be to study the formation and the resulting cloud
first observed at the site. Part 2 of
this inter-comparison we will update the GW forcing to correspond to a later
time in the observed cloud at the CF and shown in Fig 1.
LEM simulations at Leeds
Our
simulations at Leeds have been performed using the UK Met Office LEM model run
with the 10km x 20km domain with variable vertical resolution and 100m
horizontal resolution. This resolution
was confirmed to be adequate by Quante through
analysis of the turbulence measurements from the citation aircraft
measurements. The model uses a double
moment bulk microphysics scheme with an online coupled Fu-Liou
radiation model. We have compared the
simulation results to the CF MMCR radar returns and note that there is
reasonable agreement with the profiles of IWC (magnitude and vertical
profile). Our simulations take about
3-4 hours to run the case on a Linux PC (Pentium IV, 2.8). We expect participants to be able to setup
and run the model in a few days of work. We are now beginning more detailed
comparisons with the observations, such as those shown from remote sensing in
Fig 5 below.

Fig 5. Remote sensing results for March 9, 2000
(Mace).
Participation
This case
study is appropriate for LEM, CRM, and SCM simulations. We will give an initial four month period
for participants to run the case (See the timeline on the main page). We will then have an informal meeting at the
IUGG in Perugia, Italy in 2-13 July, 2007 where we
will discuss the first analysis of the results.
Please
refer to the download page for the case setup and requested output.
Acknowledgements
The Chair
would like to thank Mr Huiyi Yang (Leeds) for
establishing the case with the help of data and analysis from Dr Jay Mace
(Utah), Dr Andy Ross (Leeds), Dr Markus Quante
(GKSS), and Dr Andy Heymsfield (NCAR). Thanks for support from the previous
pan-GCSS Chair Dr Christian Jacob (BOM) and the current chair, Dr Piers Siebesma (KNMI).