Agenda
1. Summary of progress and feed back from AMS
meeting and LWG meeting (10min)
(Michiko)
2. NASA portal status update (Harper and Michiko) 5min
3. Diagnostics study from T799 NR (Oreste) 25 min
4 Arctic boundary layer in T511 NR ( Nikki)25min
5. Troubles in precursor run (Yuanfu Trouble, Jack,
Michiko, Daryl) 15min
6 Progress in simulation of observation (Input from Tong,
and Ron Errico , Stoffellen ) 15 min
7. Schedule Next meeting (Avoid Spring break)
Integrations of meso/regional OSSE effort
into Joint OSSEs
Note: There are global meso-scale model (NICAM, GFDL, ESRL)
and relatively low resolution regional OSSEs are considered.
Good hurricanes and storms in T799 run even for meso scale OSSEs.
Before producing regional NR, it is highly recommended to perform regional
OSSEs (40-60km resolution) with T799 global NR.
Mesoscale NR must be another Joint OSSE NR which will be shared within
Joint OSSE
Regional OSSEs are affordable to Universities. Simulation of observations
may be difficult.
Regional OSSE must present evaluation of effect of lateral boundary
conditions.
Potential candidate for the next NR
NICAM
Nonhydrostatic icosahedral atmospheric model
Global cloud resolving model
3.5 km model integrations are done for one week (stop due to
computing resource)
7 and14km model integrated for 100-200 days
40 levels
Forecast skill is yet to be proved
Only seven day integration was performed
www.nicam.jp
Requirement for the meso scale (can be global) Nature run
- sample suggestions♦Could be either global or regional.
♦The NWP model must have good forecast skill
Great visualization does not guarantee good forecast skill.
♦At least 3 month lower resolution run with same model is
required to provide a period for spin up for bias correction.
♦Must have a good TC or a severe storm in the nature run
period.
♦Sufficient number of vertical levels. Minimum 91 levels.
♦Some degree of coupling with ocean and land surface
♦If it is regional, the effect of the lateral boundary must be
evaluated.
♦ A list of verification method must be produced by Joint OSSE.
♦ Need NR to be shared within Joint OSSE
♦ User friendly archive
NASA Portal
Contact person is now
Harper Pryor ( [email protected])
Maitemance of portal at NASA/GSFC potal was moved from SIVO to
NCCS
There are several of copies of NR at NASA
Portal, Backup in original form
Files Reorganized for GMAO users,
Oreste’s file system at NCCS
8TB od disk space will be allocated. 7TB for nature run in grib code.
There are some data with binary format.
Better support software will be provided. Down load of multiple files will
be available.
The data will be reorganized for each time period.
Any comments to be made how to organize data. What we need.
NASA portal maintenance was moved from SIVO to NCCS Data
Portal
NCCS = NASA Center for Computation Sciences
The NCCS is managed by CISTO
CISTO = Computational and Information Sciences and Technology
Office
Contact person Harper Pryor [email protected]
Harper Pryor is the Programs Development Manager for CISTO and
the SMD User Advocate to the NCCS
Alindo is working on reorganizing the data.
Verification data was delivered to NRL/Monterey
Verification data: 1x1 deg and 0.5x0.5 deg lat lon gridded data in
pressure, potential temperature and surface data. Reorganized for
each time period and grads control files are created. Links to make
the ctl file work are also provided.
Trouble in precursor run
Zonal mean RMS
Analysis Increment of U1000
Absolute value of
Analysis Increment of U1000
It looks like there is a pretty bad drift in the temperatures over antarctica. I
wonder if the drift is the result of a model problem, and that there is no
data (i.e. satellite data) to control and correct the problem. Just look at the
surface temperatures over this region from the 10th to the 20th, there is a
pretty big drift downward.
The regions where I see the negative moisture problem develop also
correspond to bullseye's in really cold skin temperatures that develop
(from the surface flux files).
I'm starting to see a pattern develop, but I'm not sure how to fix it. We
may need to talk to some of the modelers or Suru (or someone that has
run the forecast model in cmip / climate mode).
I'll try and dig some more tomorrow.
daryl
I have a better suggestion than running with a new time step (or in addition to
this).
I'm noticing that in the extreme cold regions, that the older version of the lim-q
constraint is behaving very poorly, and actually making things worse. There
could be some positive feedback developing here.
So, i'd suggest just turning off the moisture constraint as a sensitivity test. In
the GSI namelist "SETUP", set the following parameters:
factqmin=0.0,factqmax=0.0
If you need help setting this up, let me know. All this means is that the model
may generate negative and supersaturated moisture points, but the analysis
will no longer try to constrain them.
daryl
Simulation of GOES-R ABI radiances for OSSE
Tong Zhu et al. : 5GOESR P1.31 at AMS annual meeting
http://www.emc.ncep.noaa.gov/research/JointOSSEs/publications/AMS_Jan2008/Poster-88thAMS2008-P1.31-OSSEABI.ppt
Simulated from T511 NR. GOES data will be simulated to investigate its
data impact
Black lines are total points
mean Tb, red lines are the
mean Tb over clear sky
condition, and the blue lines
are the mean Tb over cloudy
condition. Clear sky
condition is defined as
where total cloud coverage
(TCC)< 0.1, and cloudy
condition is where TCC >
0.1
GOES-12 Sounder
Simulated Radiances
Nature Run simulated GOSE-12 sounder 18 bands
In nature Run, there is hurricane generated on September 27. At 1200 UTC October
1, it is located at about 43 W, 20N. The high moisture air mass associated with the
hurricane is shown clearly.
Compare with the observed GOES-12 Sounder
Observed GOES-12 18 bands on 0230 UTC October 01, 2005 for North
Atlantic Ocean section.
Observed GOES-12 18 bands on 0230 UTC October 01, 2005 for North Atlantic Ocean section.
Progress in simulation of Observation at GMAO
1. Our software development for our first attempt at a GSI DA with all currently
used observations is nearly complete. We are still working on some final pieces
for the IR radiances and expect it to be working for both AIRS and HIRS by the
middle of March. The code has been developed with the hope of also applying it
to AMSU with minimal changes, but since we as yet know little about that
instrument, we can't say yet what special effort may be required. All the
simulated observations have some random error added and the datasets are in
bufr format. They are all produced directly from the sigma-level data on the
reduced Gaussian grid.
2. The new version of the GMAO GSI adjoint is now working, so all our tuning of
the observation simulations will be conducted using that tool, rather than running
OSEs. If you want to learn about this tool, Ron gelaro will present a seminar
describing its use and validation on Monday Feb 25th at 2:30 at GSFC.
3. In order to save processing time, we are producing radiances for only a
thinned set of locations. The thinning is not as drastic as the GSI applies so it
still allows the GSI to apply its own data selection algorithm, but to a reduced
set. Also, we plan to produce AMSU results only over oceans, since the current
version of GSI that we use does not use such obs over land. This makes our
task much easier, with both fewer issues to consider and less data to process.
4. We hope to have tunned results for all observations by this summer, which
allows us several iterations of 2-4 week assimilation experiments to conduct
before then. These will be for a winter period.
The tunning concerns parameters used to specify cloud effects and error
statistics. Once we have the tunned results, we will make available the bufr
datasets we have and the software we used to produce them. We will also then
begin to complete the full year of simulated observations.
5. Runhua is currently busy with some other projects, but will return to the OSSE
work shortly. I have other things I am supposed to be doing now, but have
instead been working on the OSSE code development, augmenting what
Runhua has done. Some components took us a long time to develop; if someone
who understood some critical pieces that we had to get from elsewhere, we
could have saved 6 weeks at least. None-the-less, I like what we have thus
far. It seems easy to both use and modify, being in the form of modules
independent of the massive GSI code.
6. After this first set of tunned simulated obs are produced (this summer) I will
work on further improvement of the realism of the observations.
Ad Stoffelen 2/20/2008
There is no connection between the EE format discussed by Tan et al and the
LIPAS BUFR. We are currently not in a position to provide you with Aeolus
data as you will get them in NRT, but we will be able closer to the launch. In
principle we could deliver:- L1B data and a L2B processor, standalone and
portable source code- L2B data (LOS wind profiles, optically classified)The
L2B processor needs NRT T meteo input with accuracy better than 10K.T
sensitivities and references are delivered in the L2B data, so any Met centre
may correct for his own best T, but there appears not much reason to do so
(all are better than 10K). The T (and less p) sensitivity is important for the
width of the molecular Rayleigh distribution, which is used in the
processing.Both datasets may be delivered in ESA EE format and BUFR. The
former is about ten times the size of BUFR. What would you require in terms
of format and timeliness?Please ask for further clarification if need be. More
details are available.Cheers,Ad
Expanding interest and collaboration
Michiko start note on help record. Any small help provided to be
recorded so help will be acknowledged appropriately.
Michiko, Yuanfu, Yucheng and Tong will form a help line to answer
basic questions and direct to right people, and build knowledge base
for OSSE.