Hank Revercomb, Director
University of Wisconsin - Madison
Space Science and Engineering
Center (SSEC)
9 December 2004

Magic 8-Ball & Special Dice

Maciek Smuga-Otto, Designer , with contributions from
Bill Bellon, Terri Gregory, Jean Phillips, Tom Achtor, Dave Tobin

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Our leadership role in science and technology is diverse and sound
Our financial picture is healthy (Reasonable spending growth and cash balance)
We have more and more people leading efforts to actively pursue funding, which gives us insurance in ever changing times
We are investing in pursuing interesting future programs
Again, I want to applaud the spirit of our group that allows us to revel in shared successes as well as individual achievements!

SSEC Annual Spending (SFY)
10
8
6
4
2
0
18
16
14
12
1980 1985 1990 1995 2000 2005
Year
And, the balance in bank has stayed positive
Congratulations to all of you and thanks for the great work

SSEC 2004 Funding: ~ $16 M

233 members

‹ Executive Directorship: Key role for SSEC--
Executive in this case is one who executes-i.e. gets things done
‹ Now that I am officially the SSEC Director,
I feel comfortable to officially make my choice of Executive Directors, and I would like to introduce them to you

‹ John leads our Executive Director team
‹ works closely with a wide range of university administrators
‹ is a masterful problem solver
‹ has organized and runs an exceptional administrative group that provides support for our research and is nationally recognized as exemplary
(CIMSS 5-year review)
‹ John keeps his focus on what counts, gets things done, and he makes it an honor to work with him

‹ Tom coordinates our science and data system activities
‹ writes many proposals, making good use of his organized mind & superior writing skills
‹ interfaces to national agencies to promote our accomplishments & foster new programs
‹ is knowledgeable and active in education and public outreach activities
‹ fosters our international connections in general and specifically, with Co-leadership of the International TOVS Working Group

‹ Fred coordinates our engineering and computer support functions
‹ has a good eye for future needs, as well as an eye for detailed current needs
‹ knows how to find and marshal talent
‹ a leader himself in cutting-edge engineering
Thanks to this unusually talented team for sticking with me and the Center--It’s hard to envision how it would all work without your efforts

I really value your advice!

1st CIMSS
5-year
NOAA Review a Great
Success!

of effectiveness
& desirability of Institutional Awards (non-competitive)
‹ Review excerpt: “It is imperative that the cooperative agreement with CIMSS continue...the challenge is to NOAA to more effectively utilize this invaluable resource”
‹ Very impressed with Steve’s job as director

NOAA Atmospheric
Research Observatory
South Pole
AWS-Cape Spensor

‹ A3RI/IceCube is moving to a new home in
1st quarter ‘05
‹ Unfortunately,
SSEC needs to relinquish 333
N. Randall, but we will arrange to put ICDS folks together when they return
West Washington, expected new home of A3RI/IceCube

My Office: Please come visit when you have something on your mind.
And by the way,
Feel comforted, some of this still remains
But, see what
Camie Tucker &
Terri Gregory have achieved

Thanks to all of you that give such great support to our projects!

‹ Processed 54 Academic & Classified
Rate and Title changes (up from 24 in 2003)
‹ 21 Student Wage Increases
‹ Continue to handle a high rate of hiring
32 Academic & Classified hires
34 Student & Grad Student hires
‹ Helped process 27 J, F, H1B, TN visas, plus paperwork involved in Perm. Residency or the
EAC (Employment Authorization Card)
‹ Normal handling of staff leave of absences, % changes, & benefits when staff start, leave, have babies, etc.

‹ Full Purchasing Delegation granted to SSEC Purchasing (9/2)
Full delegation (not limited to < $25K as before) means that
Official Sealed Bids and Request for Proposals can be done totally in-house—1 st PO took 2 weeks instead of previous 6-8 weeks! —
Special thanks to Judy Cohen
‹ 1st use of new Accounting interface - SSEC's new Labor run
Whole system is being moved to a windows-type interface, upgrading from DOS-based system
‹ 1 st automated Shipper created from scanned bar-codes (7/28)
Palm with scanner used for EHWD shipping inventory database
‹ Handled 5 major aircraft instrument field experiments , including Europe and Alaska

‹ 295 PC system conversions and installations
195 windows XP and 100 Linux Redhat Enterprise.
(also several new Sun Solaris installs, some clients and many infrastructure servers)
‹ New Windows XP Domain replaces Novell servers
‹ New email server, with server side virus scanning, web client, server side rules
‹ New web and wireless access servers
‹ Network upgrade providing more functionality, including replacement of all switches as part of the 21st century network project and new documentation system for every connection
‹ New Computing Clusters

‹ Library Publications now Searchable http://library.ssec.wisc.edu/library/publications
‹ 58% Searchable in UW MadCat & all items being bar-coded (1/3 to date)
‹ Library course “Finding Scholarly Information in the Atmospheric” will become part of AOS
907 in 2005
‹ Supported UW Special Purposes Library effort for Allied Drive children —talked to them about the science of snow

‹ New fire alarm system installed
‹ UPS (Uninterruptable Power Supply) for the
Data Center
UPS will be installed on 7th floor, with all crucial equipment in the
Data Center connected to it. In the event of a power outage the UPS will give us enough time to power equipment down gracefully
‹ Electrical Upgrade for the Computer Room
(649) and for the Server Room (515A)
‹ Elevators: Still expected in 2005

‹ SGI Altix linux cluster
‹ 24 processors (64-bit) with high speed interconnects
(6.4 GB / second transfer speeds between memory and processors)
‹ 192 GB shared memory
‹ 2.5x increase in model run speed
‹ 12x increase in model domain size capability.
Special thanks to Allen Huang, and his crew

‹ Combined NASA research cluster: 24 PIII and 22 P4 processors with gigabit interconnect.
‹ NOAA development cluster:
14 P4 processors with gigabit interconnect and tape archive system.
‹ Expandable asset
New Modeling System will relieve some of the pressure

‹ “The panel believes it is essential to preserve the data archive center of CIMSS, which has long been a beacon of the program.”
‹ While the Data Center is considered a broader facility of
SSEC..., it is an integral and vital component of the infrastructure of CIMSS, and an essential element of almost all research done at CIMSS.
‹ The loss of about 50% of its support as the transition to a centralized archive at NCDC occurs is serious. There are unique enough aspects of the data that warrant continuing its support, not only for CIMSS but wider data users including NOAA itself.

‹ Meteosat-8 (Meteosat Second
Generation-1) real-time data received at SSEC beginning on March 15, 2004, as soon as Wallops began transmission. Data is being archived as of April 8.
‹ Providing weather products & data to Honeywell Aerospace for transmission to the cockpits of commercial airlines. Current products contain information on Cloud Top Heights, Winds,
Turbulence & Convection. All products are made using McIDAS.
‹ Started supporting IDEA Environmental Applications as of March
‹ Global IR clouds over a colored base map & Global Water Vapor
SST products supplied to Global Imagination for use on their globe displays. SSEC will run a server for their users to pick up products.

Vaisala Ceilometer
Radiosonde Receiver
Upgrade… or should we say shrinkage (GPS, RS92, & Ozone Sonde capability)

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7)
Antarctic Endeavors
Special SSEC Observing Capabilities
Key Applications: Progress & New
Development
Atmospheric Modeling
GIFTS
Planetary Sciences
Education and Public Outreach

‹ Ice Coring and Drilling Services
‹ Enhanced Hot Water Drill for IceCube
‹ Antarctic Meteorological Research Center

‹ Finds its home in SSEC : Last spring, Graduate School confirmed that ICDS would stay with SSEC
(much to the pleasure of SSEC, and ICDS as well)
‹ Next-generation “Deep Ice-Sheet Coring” (DISC) drill : design and construction on course for Greenland field test next summer. Antarctic operation in late 2006 is expected to add a gold mine of paleoclimatic information to that from its worn-out predecessor that produced the famous GISP-2 core in Greenland
(3,053 meter drill hole recorded 110,000 years of Greenland's climate )
‹ Polar ice sheet field support continues to grow : Supported 5 in Antarctica and 2 in Greenland last year, and have made preparations for 8 in the Antarctic austral season that just began

Ice Coring and Drilling Services is designing and building the next
United States Deep Ice Coring Drill
Tower and base being assembled in Stoughton, WI (photo by Tony W)
•Funded by NSF
•With the collaboration of engineers from Denmark
,
France, and Germany
•To be tested in Greenland in 2005
•Capable of penetrating 4000 meters
(2½ miles) of ice

WCSAR involvement greatly appreciated
Alex Shturmakov

Eclipse 3-inch core drill
Commonwealth
Glacier, Antarctica
Dr Karl Kreutz site
(ICDS also provided two drillers—picture from Jim Green

Taylor Glacier,
Blood Falls
Those 4 orange dots are our guys

Summary
Cargo at McMurdo ( 600,000 lbs)
Seasonal Equipment Site at Pole
Cargo being unloaded at South Pole
Assembly: November/December
‹ Completed Integration, Verification, & Testing at PSL, packed, shipped, unpacked, and in the midst of assembly
‹ The plan is to drill and deploy (4) strings in January

Antarctic Meteorological Research Center (AMRC)
Precipitation study on Ross
Ice Shelf with
AMSR-E Data
NASA Antarctic
Peninsula Sea Ice
Mission Support
McMurdo at Center
25 April
NOAA-17 IR, 30 Nov
New AMRC Case
Study Repository
(16 May Storm)

Automatic Weather Stations/
Earth’s Largest Icebergs Project
3 New Webcams (Williams Field,
C-16 Iceberg, & Nascent Iceberg) from Webcam, Williams F
Deployment of 4 new
AWS stations:
Emilia, Vito, Nascent, and B-15K
Nascent AWS
Dr. Stearns is named an AMS Fellow

‹ Imaging Lidar: VIL
‹ Calibrated Lidar: Arctic HSRL
‹ Aircraft IR Instrument: Scanning HIS
‹ Ground-based IR: AERI

UW Volume Imaging Lidar: Validation
Lake Michigan Land Breeze Boundary Layer Simulation
Validates Greg Tripoli’s model embedded in US Eta

Arctic
High Spectral
Resolution
Lidar
2004:
Extended operation at SSEC, plus deployment in
Alaskan field experiment

Multi-layer Ice Cloud:
HSRL gets accurate backscatter

Multi-layer Ice Cloud:
Ordinary single-channel lidars miss a lot

HSRL senses Water Phase (Ice vs Liquid) from Polarization Changes

Arctic HSRL from SSEC penthouse
Smoke from Alaskan forest fires over Madison, Wisconsin

Mixed-Phase Arctic Cloud Expt
AHSRL & AERI at Barrow
AERI at Oliktok Point
Barrow
North Slope of Alaska
S-HIS on Proteus

MPACE 10/17: Sample S-HIS and AERI-ER spectra for radiative transfer studies
Above cloud (S-HIS nadir and zenith views from 22:35 to 22:40)
Within cloud (S-HIS nadir and zenith views from 22:55 to 23:00)
Below cloud (ground based
AERI-ER from 22:35 to 23:00)

INTEX: IN ter-continental chemical
T ransport Ex periment
ADRIEX: A erosol D irect R adiative
I mpact Ex periment
EAQUATE: E uropean Aqua T hermal
E xperiment
MPACE: M ixedP hase A rctic C loud
E xperiment
AVE: A ura V alidation E xperiment
Proteus aircraft used for 1 st 3, WB57 for AVE

Aqua overpass at 01:05 UTC
Aqua overpass at 00:53 UTC

Potenza

Aqua overpass at 13:19 UTC
Aqua overpass at 12:54 UTC

S-HIS –Tropospheric Emission Spectrometer (TES) Bands near 31 Oct overpass
∼
5.5 x 16 km

Many AIRS Spectrum Validation data sets
AIRS, 01:09 UTC
S-HIS, 01:10-01:20 UTC
Dave Tobin

AIRS, 12:54 UTC
S-HIS, 12:45-12:57 UTC

AIRS, 22:29 UTC
S-HIS, 22:20-22:30 UTC

AERI-00
1994
15
µ m
CO
2
AERI-01
675-680 cm -1
µ
985-990 cm -1
Cloudy
10
µ m window
Clear
2004
Bob Knuteson

AERI adjusts RUC Analysis Water Vapor Field
Wayne Feltz

AERIbago Will Be Deployed in Spring 2005 to Validate
Water Vapor Sensors (WVSS 2 and TAMDAR)

Progress & New Developments
‹ Cloud Climatology
‹ ASAP: Satellite data for
Aviation Safety
‹ IDEA: Satellite data for Air
Quality with EPA
‹ Retrieval: Cloud Clearing,
Surface emissivity & GPS
‹ Tropical Cyclones

AVHRR Cloud Climatology, PATMOS-x
(Pathfinder Atmospheres Extended Project – PATMOS-x)
Cloud Type Examples
Each cloudy pixel is classified into one of following cloud types: (0) clear, (1) fog, (2) water , (3) super-cooled water
(4) opaque ice, (5) cirrus, (6) multilayer cirrus
Andy Heidinger & Mike Pavolonis

Comparison of Total Cloud Amount Trends
The figure shows Total Cloud
Amount time series from 60S to
60N for July
• PATMOS-x does not exhibit the downward trend seen in
ISCCP
• Differences in magnitude are likely due to PATMOS-x weighting of partly cloudy pixels. ISCCP and HIRS do no weighting of partly cloudy pixels
PATMOS-x trends are preliminary until calibration work is finished
UW/HIS: Paul Menzel & Don Wylie

What is the optical depth limit of cloud detection?
Cloudiness depends on your sensitivity i.e. there are almost always a few cloud particles around
This question is being addressed with the HSRL which can now operate in a hands-off mode and thus provide large data sets for comparison with other observations. The figure demonstrates the relationship between cloud fraction and the detection optical depth limit of an instrument, as a function of altitude.
OD=2
52%
OD=.03
70%
Cloud fraction (%)
There is almost a 20% change in the total cloud cover as seen between instruments with an optical depth lower threshold of 2 as opposed to 0.03.
Mike Mores

Using New Satellite Lidar System (GLAS) to estimate optical depth sensitivity of cloud climatologies
By filtering out GLAS results with optical depths below some minimum, we can estimate the sensitivity of our passive cloud climatologies:
Minimum GLAS optical depth to match observed High Cloud Amount :
AVHRR Day – 0.23
AVHRR Night – 0.1
MODIS/TERRA – 0.12
ISCCP Day – 0.27
ISCCP Night – 0.40
HIRS Day/Night – 0.04
***Pavolonis, M.J. and A. K. Heidinger:
Global cloud comparisons from the
AVHRR, MODIS, and GLAS, In
Preparation.

GLAS-Night Terra-MODIS Daytime
Good agreement in total cloud frequency during the day, except over Antarctica.
Pavolonis, M.J. and A.K. Heidinger, 2004:Preliminary global cloud comparisons from the AVHRR, MODIS, and
GLAS: Cloud amount and cloud overlap, SPIE 4 th International Asia-Pacific Environmental Remote Sensing
Symposium.

Cloud Top Altitude/Mask Turbulence
Volcanic
Ash
Convection
Validation
FAA, NASA, MIT, UAH, UW: Wayne Feltz-lead

Turbulence Regions from Water Vapor Data
Experimental tropopause folding product : As part of the ASAP program, a product has been developed that uses gradients in the water vapor channe l to estimate areas of tropopause folding, which can cause turbulence. The product i s compared in real time to pilot reports of turbulence in a web based java animation.
Tony Wimmers

1.
MODIS Water Vapor Detection of Mountain
Wave Turbulence (ASAP Program)
2.
3.
1. 03/06/04 MODIS WV image showing mountain waves and turbulence reports with 0=negative report and
9=severe turbulence
2. 05/11/04 MODIS WV image
3. IDV cross section of zonal wind speeds along 39 th parallel (direction of flow)
4. IDV cross section of wind speeds along flow direction with turbulence plotted
4.

ASAP GOES Cloud Top Pressure
Validation with aircraft Lidar (CPL)
GOES
Sounder
Imager
Lidar
Higher
Validation of GOES-12
Imager and Sounder cloud top height. Heights are compared to Cloud Phase
Lidar measurements from
ATReC (Atlantic
THORPEX Regional
Campaign).
Black=Lidar
Sarah Thomas

MODIS Volcanic Ash Cloud Top Retrieval
(ASAP Program)

ASAP Convective Weather Analysis & Nowcasting
GOES Visible Data High-Density Winds Cloud-Top Cooling Thunderstorm Forecast
Current Radar Reflectivity and Lightning Counts
Radar /Lightning 45 Minutes Later
Utilize GOES-12 Rapid Scan VIS and IR imagery to produce 30-60 min forecasts of new thunderstorm development and the first occurrence of cloud lightning for use in improving aviation safety through the ASAP initiative
High-density satellite winds used to identify rapidly cooling cumulus cloud tops, which coincide with regions of dangerous convectively-induced turbulence Kris Bedka

IDEA (Infusing satellite
• • CIMSS has adapted an
NASA LaRC that uses
Tony Wimmers

(7.3 µm)
New Cloud
Clearing
Method
Using all
MODIS IR to Cloud
Clear AIRS
It works very well!
CC AIRS has more clear than
MODIS
Alone
Jun Li
AIRS Clear
14 km resolution
Hurricane Isabel (17 Sept. 2003)
AIRS Clear + CC
14 km resolution
MODIS Clear
1 km resolution

Including Land Surface in training is improving total Water Vapor Retrievals from MODIS
#5, Mixed Forests #6, Closed Shrubs
•15 IGBP ecosystem groups for land, as a function of month and latitude band.
•MODIS MOD11 emissivity and laboratory measurements were used to derive these new emissivities:
•Symbols indicate MOD11 points; lines are based on laboratory baseline fit to MODIS MOD11 measurement points .
Suzanne Seemann, Eva Borbas

Water Vapor (TPW)
Retrieval Improvement
MODIS
Old OLD: Collection 4 Aqua
GOES-12
Along-track noise significantly reduced due to improved training data, surface characterization, and BT zones
Magnitude of TPW also improved throughout TX and OK
MODIS
New NEW: Collection 5 Aqua

Validation of AIRS (red) & AIRS+GPS (blue) retrievals
GPS
Improves
AIRS T by
0.5 K at the tropopause
Geometry of radio occultation
Active limb sounding system
Passive sounding system
Eva Borbas

The year of the
Hurricane

Aqua AMSR E image of
“It really helps to see the evolution of banding features and how the lowlevel convergence patterns change,”
NHC
MIMI (Morphed, anImated Microwave Imagery): The CIMSS Tropical images of hurricanes from low earth orbiting satellites into an animation that helps scientists and forecasters observe eyewall
Tony Wimmers

‹ CIMSS Regional Assimilation System
(CRAS)
‹ Regional Air Quality Modeling System
(RAQMS)
‹ Hybrid model comparison with NCEP GFS
‹ Microwave Assimilation for JCSDA

CIMSS Regional Assimilation System
The CRAS is a regional numerical weather prediction system used to assess the impact of space-based observations on numerical forecast accuracy.
Since 1995, the development of
CRAS model dynamics and physics has been guided by validating forecasts using information from satellites.
Bob Aune

CRAS Development Philosophy Guided by Information from Satellites
SATELLITE VALIDATION
CRAS generates forecast 11um and 6.5um satellite images and are validated using actual GOES imagery.
CRAS 24hr forecast 6.7um satellite image at 40km resolution
(clear sky)
CRAS 12hr forecast 6.7um satellite image at 40km resolution
(clear sky) CRAS 18hr forecast
11um image at 20km resolution
CRAS 06hr forecast
11um image at 20km resolution
6.7 um water vapor image from GOES-10 valid 00UTC, October 12, 2004
11um image from GOES-12 valid 18UTC August 9, 2004
Images courtesy of G. Wade

61 km real-time CRAS consistently outperformed other models in predicting the tracks of the four major hurricanes that affected
Florida during the 2004 season
69hr Forecast Track of Hurricane Frances from the
61 km real-time CRAS valid 09UTC September 5, 2004
CIMSS scientists are investigating why the 61- km real-time CRAS produced better hurricane track forecasts than some of the operational models during the
2004 season. Two hypotheses are:
Actual track of
Hurricane Frances
The non-dissipative nature of the CRAS numerics preserves hurricane structure
The use of cloud/moisture information from the GOES sounders improves the moisture distribution in the vicinity of the vortex
69-hr CRAS forecast position
Actual position at
09UTC Sept 5,2004
C
@
G
69-hr forecast position from the NCEP GFS forecast
“C” indicates CRAS 6-hourly positions based on 850 hPa vorticity
Initial forecast position
Note: The real-time 61-km CRAS is initialized using winds and temperatures from the NCEP GFS analysis and clouds/moisture from the GOES sounders.

Collaboration - NASA Langley and the University of Wisconsin - Madison
UW Hybrid
θ
-
η
Model
Global model
NASA Langley Impact Model
Chemical Module
UW - NMS
Regional model
RAQMS provided daily global meteorological and chemical forecasts to the 2004 Intercontinental Chemical Transport Experiment - North
America (INTEX-NA) science team for DC-8 flight planning (11 May –
31 August) .
Don Johnson’s group with Brad Pierce, NASA LaRC

Collaborative Effort with NCEP
(Don Johnson’s Group)
The goal is to help ascertain reasons for NCEP model biases and improve weather and medium-range forecasts, especially emphasizing the isentropic approach .
• Diagnostic package developed at the UW is being migrated to NCEP
(currently working with the Global Modeling Branch)
Diagnostics are being used with both global model forecasts and assimilated data sets to evaluate:
1. The numerical accuracies of transport and exchange.
2. The impact of different parameterization algorithms on NWP.
3. The impact of increased horizontal and vertical resolution.
• Diagnostics from the isentropic perspective of the global circulation are also being migrated and applied as part of this effort.
• Scientific exchange on hybrid isentropic coordinate modeling as NCEP and other groups move toward developing hybrid coordinate models.

5-day moisture forecast from UW isentropic model is more accurate than the NCEP GFS!
Tom
Zapotocny

Microwave Radiance
Assimilation--JCSDA
Adds Precipitation
& Cloud information
1 st Year Achievements
1. Fast, accurate
Radiative Transfer
Models developed
2. NCEP Global
Forecast System
Tb validated
R. Bennartz, T. Greenwald,
C. O’Dell, and A. Heidinger
AMSR-E
89 GHz
NCEP
12-hr
Hurricane
Karl
Max scattering sensitivity in Karl

‹ Killed and Reborn
‹ NOAA support of algorithm and ground system development at SSEC continues as risk reduction for GOES R
‹ IgeoLab: Put GIFTS in space as an
International resource
‹ Blackbody calibration references at SSEC

Blackbody with temperature sensors
Blackbody Controller

“Frenchy” our trusted blackbody painter sprays on the black coating
Nick hand paints the cavity cone apex

Blackbody temperature sensors will be calibrated to 40 mK absolute accuracy

Unexpectedly active planet, meteorologically
Many more atmospheric features (31) than observed from
Space
Telescope
2 Faces of Uranus

‹ OSSE
‹ Science Expeditions
‹ Satellite Observations for Science
Education

Visit to a tribal school in India –
26 June 2004
Viveka - Tribal Center for Learning (VTCL), Hosahalli
,
Karnataka, INDIA

Office of Space Science Education
2004 Highlights
‹ Telescope workshop at 128 th AAPT
Miami, January 2004
‹ Exploring Mars – Public Lectures, Kottayam, Mumbai,
Dombivili, February 2004
‹ Search for Life on Mars – Lecture at Bangalore
‹ Atmospheres of Venus and Mars – Ahmedabad
‹ Education Session at India-US Collaboration in Space Science,
Applications and Commerce, June
‹ Satellite Meteorology Workshop-Madison-(Margaret Mooney)
‹ GLOBE Workshop – Crystal Lake, Illinois, Madison
‹ PEOPLE Workshop – June – July 2004
‹ Geoscience Education Workshop – Bangalore, Kanpur

Summer 2004 Outreach &
Education Activities
Grandparents University
High School Student
Summer Workshop on
Atmospheric, Earth &
Space Science
Teacher Workshop in Satellite Meteorology & GLOBE

OSSE 2004 Events, continued…
‹ Sanjay Limaye:
– Appointed as DPS Press Officer (2005 – 2008).
– Facilitator for India-US Conference on Space, Applications &
Commerce (June, Bangalore India).
‹ Rosalyn Pertzborn:
– Appointed as U.S. Delegate for Space Education & Training, India-
US Conference on Space Space, Applications & Commerce (June,
Bangalore India).
– Co-Author Policy Guide to the Office of Space Science Education &
Public Outreach Evaluation Criteria (March 2004).
– Provided Keynote Presentation for Education Plenary Session at
EGU (April, Nice, France).
– Appointed as Education & Public Outreach Lead for NASA New
Frontiers (Juno) Concept Study Report with JPL/ Lockheed-Martin.

Satellite
Observations for
Science
Education
A NASA funded education project to develop a data analysis and visualization toolbox that provides students with interactive learning experiences that train them in remote sensing and exploratory data analysis.
Collaboration between
SSEC/CIMSS, the American
Meteorological Society,
University of CA, and UW DoIT

Plans for a new web-based Lobby Display and more are in the works--software is being written and hardware planned
Bill Bellon
Leanne Avila
Tom Achtor
Rick Kohrs
Tom Whitaker
Scott Bachmeier
Jim Sinclair
Joanne Banks
Terry Gregory

UW Office of
Corporate
Relations

MARS Direct
Broadcast Antenna
a new cooperative effort with Italy
Maybe Paolo thinks it’s the planet

Yes, that is the
Pantheon

IRS Busan,
Korea,
Aug 2004an exercise

Hole-Punch Clouds over Alabama:
Falling Ice Clears it out
“Black” Cirrus over Canada:
Cirrus warmer (-35ºC) than ground (-45 ºC)

S-HIS on Proteus
WB57 with S-HIS
Space Ship 1
Vomit Comet, et al.
Super Guppy

Monona
Terrace
17 September

Home Computer, Popular Mechanics, 1954

As a golfer,
I think we can make this work

1)
2)
7)
8)
9)
10)
3)
4)
5)
6)
McIDAS-V: NOAA Proposal
HIGH-LATITUDE WINDS FROM MOLNIYA
ORBIT: NASA ESSP
SIRICE: Cloud Ice from NASA ESSP
Missing Baryon Explorer: Cosmology
Venus “VALOR” Proposal: Co-I & EPO
Juno: NASA New Frontiers: EPO
Arrhenius: IR Spectra for Climate
IgeoLab plan for flying GIFTS
Ground System for India
NPP Atmosphere PEATE (Product Evaluation and Algorithm Test Element)

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Based on VisAD via Unidata
Integrated Data Viewer (IDV)
Visualization and analysis of any data encountered
Wide variety of 2- and 3-D display types
Innovative ways of graphically interacting with data
User scripting in Python
Strong distributed computing
Support for existing McIDAS-X applications
In collaboration with Unidata,
BOM, NCAR, NCSA, etc

Arctic “GEO”
HIGH-LATITUDE WINDS FROM
MOLNIYA ORBIT a mission concept for NASA’s ESSP Program
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‹
‹
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Lars Peter Riishojgaard
NASA Global Modeling and Assimilation Office
A geostationary-class imager in a Molniya orbit
Aim is to demonstrate continuous coverage of water vapor and cloud imagery and derived products (e.g. winds) all the way to the pole
Scientific heritage provided in part by the GOES imagers, in part by the success of the MODIS winds
CIMSS/SSEC/NOAA would contribute via the science team and in data processing
Winds coverage with geos and MODIS Winds coverage with geos and Molniya

Infrared – thin IWP
PI: Steve Ackerman
Mission Measurement
Submm – IWP microwave - LWP
SSEC to build the IR Imager with GSFC microwave precipitation
SSEC Data Center will collect & process science products
Technical & Management Review
November 3, 2004
2

UW/SSEC
Instrument
Management
To be resubmitted at the next opportunity

Twin Balloonborne aerostats to sample composition & dynamics
Sanjay is a Co-I,
Rose to
Manage EPO

Science Objectives:
- Atmospheric Composition & Dynamics of
Jupiter from Polar Orbit
- Characterization of Polar Magnetosphere
- Interior Structure, Core Mass &
Deep Convection
PI: Dr. Scott Bolton, JPL
E/PO Lead : Rosalyn A. Pertzborn, OSSE Director
29 October 2004 JUNO Education & Public Outreach Pertzborn- 1