21 October 2005 panoramas
State of SSEC, 2006
Hank Revercomb, Director
University of Wisconsin - Madison
Space Science and Engineering
Center (SSEC)
12 December 2006
Celebration of a Life
Bruce Koci, 1943-2006
Named Places in Antarctica
Koci Cliffs *
Named after Bruce Koci, Ice Coring and Drilling Services,
University of Wisconsin-Madison, an authority in ice
drilling with broad experience for many years in Antarctica
and Greenland. Date named: 1994
A thank you presented to Bruce’s wife Ann
from the NSF Office of Polar Programs
Prepared by the US Geological Service
Environmental Remote Sensing Center
(ERSC) joins SSEC
‹ Sam
Batzli, Assistant Scientist
‹ Jon Chipman, Assistant Scientist
‹ Tim Olsen, Geospatial Education Specialist
‹ Professor Steve Ventura, Soils & NI,
Interim Director
(as Tom Lillisand and Frank Scarpace retire)
Welcome! The possibilities are exciting.
Environmental Remote Sensing Center
Worked with Wisc DNR to …
• Measure water clarity in 7500 lakes
• Map invasive plants in wetlands statewide
• Radio-track carp in Lake Wingra
2002
Began new 3-year NASA project
• Monitor water levels in lakes worldwide
• Assess water quality in selected lakes
2006
Gave EPA-supported workshop
• Remote sensing for lake management
New: agriculture & public health
• Remote sensing, irrigation, & infectious disease in Egypt
Data Distribution &
Regional Observing Systems
WI 1-meter imagery online
• WisconsinView is the online distributor
of free statewide aerial imagery with
over 2,900 registered users in 2006.
Great Lakes Observing System
• Represented interests of GLOS at an
Integrated Ocean Observing System
remote sensing meeting
Data Fusion NSF Proposal
• Seeking funding to merge meteorological data with land information in
GIS web service formats.
Education & Outreach
On-going activities in Alaska and Wisconsin
• Research-based education and outreach for ERSC
• Many different ways… many different people…
Topics
A. SSEC, the Center
B. Our Science &
Engineering
C. Other 2006 Events
A1. SSEC General
‹
‹
‹
‹
‹
Our science and technology capabilities remain
diverse and sound
Our financial picture is healthy
(Reasonable spending growth and cash balance)
We have an ever growing group of scientists &
engineers that actively pursue new programs,
which gives us insurance in times of changing
commitments at NASA and ways of doing
business at NOAA
We are investing in the pursuit of major future
programs
Everyone’s contributions to our shared successes
is very much appreciated!
SSEC spending: Growth slows at healthy level
Dollars (M$)
SSEC Annual Spending (SFY)
22
20
18
16
14
12
10
8
6
4
2
0
1981
1986
1991
1996
2001
2006
Year
The balance in bank is stable (and positive)
Congratulations to everyone; thanks for your great efforts
2006 Spending by Source: ~ $20.6 M
Other*
8%
DOD
DOE
6%
3%
NASA
25%
NSF
28%
NOAA
30%
*includes MUG & non-federal money
Repeating, Things looks very good, but
We know there are still a number of elephants out
National Events that influence our work
i.e. Reading the Tea Leaves
(“we are living in interesting times”)
‹ GOES-R
(NOAA):
– Now only includes 2 spacecraft (R & S), with ABI and lightning mapper (no
operational high resolution sounder or coastal waters imager).
– A demonstration advanced sounder has been recommended, but…
– Algorithm and processing system development being organized under NOAA
(single prime approach rejected by high-level Independent Review Team)
‹ NASA
Science
– Priority frustrations continue & high-level resignations ensued as Griffin cuts
science, and Roses selections for EOS continuations are delayed
– Planning to support some Decadal Survey recommendations
‹ Decadal
Survey of
Earth Science and Applications from Space
National Research Council, National Academy
Co-Chairs, Rick Anthes & Berrien Moore
– Final report due soon—expect strong recommendation for
GIFTS and for IR Benchmark Climate Mission—
other SSEC/CIMSS possibilities include, Antarctic Polar Sitter,
Cloud Ice Experiment, and Polar Winds from Molniya Orbit)
Equity and Diversity (1)
SSEC is committed to building diversity in our staff and
to fostering the fair and equal treatment of all
SSEC employees and the people working with us.
‹
Workplace Climate Survey evaluated by SSEC Committee
Report available at
http://www.ssec.wisc.edu/employee_info/climate-survey-report/
Inputs to the Committee or the directors are encouraged
‹
Annual progress report submitted to Graduate School
as part of University-level effort
‹
Mike Dean participated in Graduate School E & D Committee
climate survey presentation (SSEC representative)
‹
Equity and Diversity Committee made permanent as recommended
and committee polices established.
Current membership is Mike Dean, Wayne Feltz, Leslie Moy,
Mark Mulligan (Chair), Jean Phillips, Drew Rushmer, and
Jean Stover
Equity and Diversity (2)
Action Item Progress:
‹
Power-assisted doors to ease building access
‹
Our Recruitment Effort Plans (REPs) for new positions now include
announcing our positions to over 500 targeted Colleges and Universities as
well as publications that specifically target women and minorities.
‹
Memoranda of Agreement for cooperation and student exchange set up with
Hampton U and CCNY that both have large minority representation
‹
SSEC conducted a weeklong workshop in Madison for Hampton U and CCNY
students, focusing on using data analysis and visualization tools to conduct
meteorological research
‹
SSEC collaborated with Hampton University on an educational outreach
project called "Science on a Sphere“ to provide, develop and implement
educational applications for NOAA’s Science on a Sphere in the Nauticus
Museum
‹
A recent successful NSF Major Research Instrumentation proposal includes
letters of support for collaboration from UW-Milwaukee, Hampton U and
CCNY
Hampton University (HU) MOA
‹
‹
Collaborative agreement opens up joint research,
teaching, and student connections/exchanges, and
Science on a Sphere in the NOAA portion of the
Nauticus Museum
Nauticus Museum, Norfolk, VA
Science on a Sphere
NSF Major Instrumentation Call: Microwave & Lidar
Instrumentation to Enhance UW Facilities
for State-of-the-Art Cloud Observations
‹
‹
Investigators: Steve Ackerman, Dave Turner,
Ed Eloranta & Wayne Feltz
New instruments for Bago deployment:
– HSRL like Ed’s new aircraft instrument to
be built here at SSEC
– Microwave Profiler
– High-frequency Microwave with high sensitivity
to low Liquid Water Path amounts
(both from Radiometer Physics, Germany)
Microwave Profiler “HATPRO”
22-30 GHz & 52-58 GHz for
T(p), WV(p) & LWP
Microwave radiometer
90 GHz & 150 GHz, 3-4 times
more sensitivity to low LWP
Lake Mendota Buoy Project
‹ Collaboration
between
SSEC and Limnology
‹ Measures:
–
–
–
–
Wind speed
Direction
Air temperature
Water temperature to 15 m
(0.5 m vertical resolution)
– Dissolved gas concentration
» O2, CO2, ….
Thanks to Bob Holz, Jonathan Thom, and Fred Best
Education and Public
Outreach
‹
‹
‹
‹
OSSE
Earth Science teachers & students
VISIT Training Sessions
40th Year of geostationary
satellites
Office of Space Science Education (OSSE)
‹
Juno, the polar orbiting spacecraft mission to Jupiter has a launch date in October 2011:
–
–
‹
Venus Express, European mission to Venus:
–
‹
Middle school students
Juno, Venus Express, and Climate Change are featured topics
India:
–
–
–
‹
1st joint ESA and NASA EPO Teacher Workshop
held in Berlin, Germany, 20 Sept 2006
Workshop at International School in Brusslls:
–
–
‹
Rosalyn Pertzborn will lead Juno’s approximately $12 million Education and Public Outreach
(EPO) program
The program targets rural America as the primary audience, Juno discovering Jupiter
including regions with substantial Native American and
Hispanic populations, and young women
8 December 2005 new release
“UW forges new ties with Indian educators, researchers”
McIDAS acquired by India Meteorological Department
Indian Space Research Organization jointed MUG to
use McIDAS with INSAT data.
One Sky, Two Views:
–
–
–
American Indian Star Stories used to present concepts of
space science
Visited 6 Wisconsin schools in 2006
Collaboration with Patty Loew
with Io
2006 Outreach Highlights
AMS WeatherFest, Science Expeditions, GPU, Workshops, UW Science Alliance, WSST…
to name a few
CIMSS 14th Student Workshop
Grandparents University
Teacher
Workshop
AMS WeatherFest
Margaret Mooney
Scott Bachmeier
40th Year of GEO
Satellites
6 December 2006
A celebration and
an effort to
spread the word
to Wisconsinites
“Verner Suomi was a giant of modern science.
His inventions were simple and elegant, and
their consequences are ubiquitous. Anyone
looking at a satellite image of the earth on
the evening weather is looking at the product
of a rare mind”
John D. Wiley, 1995
SSEC Co-Founder
Verner E. Suomi (1915-1995)
Keep it
simple
All I need is
a little group
…
We’ll keep a
critical
eye on
earth & its
environment
And in this connection, I am happy to again announce that
the Atmospheric and Oceanic Sciences Department
has established a Professorship in Vern’s honor
The Verner E Suomi
Distinguished Professorship
And the first occupant
will be none other than
our friend and colleague,
Dr. Paul Menzel
The Suomi Science Museum
at the University of Wisconsin-Madison
Atmospheric, Oceanic and Space Sciences Building
http://museum.ssec.wisc.edu
SSEC’s Newest
“Sounder”
Debuts at Picnic!
A2. SSEC Administrative
Services and Facilities
Thanks!
We get such great support for
all of our projects!
Personnel/Human Relations
‹ Processed
23 Academic & Classified
Reclasses, Rate, and Title changes
(101 in last 3 years)
‹ Hiring
rate has slowed a bit-more normal
23 Academic & Classified hires
10 Student & Grad Student hires
‹ 3 Retirements:
Evan Richards, Terri Gregory, Dave Allen
Personnel/Human Relations
One very exciting title change,
SSEC now has the first
Distinguished Scientist in the GS:
Congratulations to Allen Huang!!!
Purchasing/Accounting
‹
Purchasing Software
– Center's 3rd floor programming staff recently demonstrated
the results of a pilot project to UW Purchasing
– SSEC's purchasing system is now capable of Web interfacing
with and loading orders into UW Purchasing's central system
for direct release to vendors
– Prior to this major accomplishment, a requisition would have to
be re-keyed into three different systems before becoming a
Purchase Order
– Also demonstrated for central Purchasing were core methods
whereby less sophisticated departments could implement similar
functionality from simple Excel based departmental systems
‹
Purchases
$2,664,345 total, with 60% from Specific orders (4% of releases)
36% from Credit Card
(90% of releases)
4% from Blanket Orders (6% of releases)
‹
Did Dave Allen really retire?
Schwerdtfeger Library
‹
New Wisconsin Weather web page for general public
– One of the most popular sites cataloged in MadCat refined by
Dan Bull & David An: http://library.ssec.wisc.edu/library/weather
– Features work at SSEC, NOAA, and others
‹
Professor Werner Schwerdtfeger
– Provided research support for book, Wekusta: Luftwaffe Meteorological
Reconnaissance Units & Operations 1938-1945 featuring a group of highly educated
German atmospheric scientists and pilots that included Dr. Schwerdtfeger
– Documented his professional life for an entry in the Neue Deutsche Bibliographie
(NDB), the German “Who is Who” in science and the beaux arts.
‹
Professor Suomi, Father of Satellite Meteorology
– Linda Hedges has begun cataloging his papers and correspondence that range from
research and teaching to committees and congressional testimony. His papers chronicle
the significant developments in the atmospheric sciences and serve as a veritable
"who's who" as Dr. Suomi worked alongside many meteorological giants.
http://library.ssec.wisc.edu/library/publications/Series=suomi
‹
Lecture Material Access
– Lectures of CIMSS scientists teaching remote sensing workshops around the world are
now cataloged in the Library’s Publications Database, providing continued access to
workshop students and others at
http://library.ssec.wisc.edu/library/publications/Series=lecture
TC Highlights
‹ Help!
– Technical Computing resolved about 2800 work requests
that were entered into the request tracking system, along
with the usual informal requests via phone calls and
personal visits
‹ Existing
Clusters
– TC continues to assist SSEC's researchers with ongoing
work with existing high performance computing clusters
‹ New
Computing and Storage Resources
– Helped plan and implement yet more new computing and
storage resources to serve SSEC's continued growth
– We are proud of our work with the GOES-R Risk
Reduction group's efforts to order and successfully
deploy the Zara cluster on an extremely tight schedule
Building Support
‹ Elevator!!!!!!!!
– The new passenger elevator is really
great and a second will follow soon
Many thanks to Joanne Banks!
‹ All
new Front Doors provide
Handicapped Access
‹ Computer Room
– Still in the works
Remodeling & Upgrade
‹ Plus, the Picnic
– Thanks to a major effort by JoAnn, we had one of the best SSEC
Picnics ever on her wonderful property in the country
SSEC Data Center
‹
Real-time GOES Ingest
– Data from 4 GOES Satellites (G10, 11, 12, 13) received and archived
simultaneously (4 dishes) during August/September—a first!
– GOES 10 1-minute data: SSEC was the only receiving station to ingest the data
while the bird drifted East. We also served the data in real-time and archived it
online. The antenna pointing had to be peaked daily and several people helped with
this.
– During this time we received data from 9 GEO satellites
‹
GOES On-line Archive
– 174 TB (about 30 satellite years) storage currently inhouse
– Online inventory with browse capability
‹
‹
World Composites now available hourly
Dr. Mamoru Mohri, Director of Japan’s National Museum of Emerging
Science and Innovation and their 1st Astronaut, visited to thank SSEC
– 5 years of data for their Geo Cosmos sphere (led lit, diameter > 21 feet, 20 tons weight
‹
Remodeling of Computer Room (649)
– New temperature & noise controlled office area for operators at the North end construction to begin soon
– Electrical upgrades to handle more machines - 2nd UPS added
– Air handling remodel & upgrade to cool the additional hardware in the works
McIDAS User Group (MUG)
‹
Seven new MUG memberships
‹
Released significant new 2006 upgrades of McIDAS
– Including updates of McIDAS User's Guide, McIDAS Learning
Guide, McIDAS Programmer's Manual, and McIDAS-XCD
Administrator's Guide
‹
‹
OpenADDE (v1.2) made freely available on Website
Training and Demos Conducted
– India and Taiwan (On-site)
– NOAA-CREST participants from Hampton U and CCNY
– CIMSS Summer Workshop
‹
‹
McIDAS-V preparation continues
New SSEC Data Ingestor and Operator’s Manual
SSEC Quality Assurance Program
(Tom Demke working with Fred Best)
‹
‹
‹
‹
Continued implementing
quality processes in
technology team
Launch of Quality/Safety
Website on SSEC
Employee homepage
Defined the SSEC Quality
Policy
Held first Management
Review of the Quality
System
Processes
In Use
Processes being
Implemented
Document Control
Software
Development
Change Control
Training
Management
Review
Project Complaint
Handling
Calibration of Test
Equipment
Project Safety
Contract Review
Non-Conforming
Material
Quality Records
SSEC Safety Program
(Tom Demke)
‹ DISC
–
–
–
–
Drill Safety Program
Hazard assessments
Conducting safety trainings
Procurement of safety equipment
Safety inspections
‹ AOSS
Emergency Response Plan
– Initial plan completed
– Trainings conducted for SSEC & AOS
‹ General
Employee Safety
– Coordinated CPR & First Aid classes
– Procured AED (automatic external defibrillator)
Public Information Office
‹ Jen
O’Leary is doing a great job
(filling Terri’s shoes is a whole lot harder
than the size might suggest)
‹ SSEC
Booklet featuring many excellent articles
about our work is about to be published, and Jen
has played a key role in the group along with Tom
Achtor, Leanne Avila and Terri Gregory
B. Our Science & Engineering
Following the new SSEC Booklet,
what we do is divided into
‹
‹
‹
Observe
Analyze
Apply
To Observe
1)
2)
3)
4)
5)
6)
Lidar: HSRL, CALIPSO, ARM Raman
Antarctic/Ice Endeavors
GOES 10 1-minute Loops
GIFTS/AERI
METOP & IASI First Light
Validation: S-HIS, MAS, CPL,
AERI-bago
Long-term continuous operation of the University of Wisconsin
High Spectral Resolution Lidar in the high Arctic
Ed Eloranta, et al.
Barrow
Eureka
HSRL Operational record
first 15 months of Eureka deployment
Amazing for this type of instrumentation
Blue is liquid water cloud
Simultaneous Radar
CALIPSO Backscatter
& MODIS cloud tops
Total Attenuated Backscatter 532 nm
Bob Holz, Fred Nagel, Rich Frey, Steve Ackerman
15 June 2006
CALIPSO/MODIS
-Zooming In-
ARM Raman Lidar
‹
‹
‹
Dave Turner continues on instrument mentor team
Lots of new data products and science
New work includes:
– Derive temperature profiles from
rotational Raman backscatter
– Derive liquid water profiles in clouds
– Derive cirrus cloud properties (e.g. optical depth,
backscatter phase function, extinction)
– Combining these observations with
ARM cloud radar
8 Aug 2006
Antarctic Meteorological
Research Center
AMRC has been funded for 3 more years,
including a new collaboration with Penn State!
The AMRC has a new
member, Jonas Asuma!
Automatic
Weather Stations
Project
Kominko-Slade, Jan. 2006
Mulock, Oct. 2006
3 New
Stations
this year
Mt. Fleming, Oct. 2006
West Antarctic
Ice Sheet &
Transantarctic
Mountains
ICDS in Antarctica,
Greenland, & British Columbia
‹
Antarctica
– Improved Eclipse drill cores up to 160 m for 2
glaciers in the Dry Valleys region
– Access to brine through 20 m ice on permanent-ice
Lake Vida, sealed for 3000 years (environmental
security high- see top right)
– Air sampling cores at WAIS Divide Camp in central
West Antarctica (site for 2007 DISC drilling)
‹
Greenland
– 4” drill at Summit (2006 DISC drill site): 2 cores
‹
Jay Kyne on
Lake Vida
British Columbia
Mt. Waddington
British Columbia
– Excellent cores to 63 m from 4” and thermal coring
drills handed wet ice challenge (bottom right)
‹
International Workshop on Ice Drilling Tech
– 15 representatives from ICDS made a dozen
presentations, plus half dozen posters
– Only occurs every 6 years or so— It’s a Big Event
Beth Bergeron
drilling at 3200 m
1-min loop from GOES-10
The SSEC Data Center acquired the special rapid scan imagery while GOES-10 was
moved to 60 degrees west longitude. (T. Schmit, S. Bachmeier, B. Rabin, etc)
GIFTS EDU Testing completed
(included sky viewing with AERI)
APS optics
Foreoptics baffle
M1
Flip-in
mirror
Optical bench
PMA
Blackbodies
Aft optics
FTS
LW, GIFTS-AERI05, pixel 72,72
GIFTS LW Band shows very good agreement,
even without non-linearity correction
LW, GIFTS-AERI05, pixel 72,72
708-792 cm-1, 15 micron CO2 band
European METOP-A launched 19 October 2006
) MetOp covers the 9:30 AM/PM orbit for the NPOESS era
) Provides the first global 1 km AVHRR data
) Also IASI, the new high spectral resolution sounder
1st Global 1 km CLAVR-x Cloud Products from MetOp-A AVHRR
FALSE COLOR IMAGE
Andy Heidinger
ICE CLOUD EMISSIVITY
IASI First Light: 27 November 2006
EUMETSAT High
Resolution Operational
Sounder 1st spectra
have been acquired
First IASI Level 1C Spectra
29/11/2006, 13:42:11 UTC
Temp
(CO2)
Surface,
Clouds
Surface,
Clouds
Surface,
Clouds
CO
O3
N2O,
Temp
(CO2)
Temp
(CO2)
H2O, CH4, N2O
They look excellent!
Generated by the IASI L1 PPF and Cal/Val Facility
IASI has 1-km bore-sighted IR Images too!
S-HIS in Costa Rica
January 2006
NASA WB57
S-HIS
scans cross-track down
& views zenith
The Quetzal
Left Wing Pod
Data Analyzed in the field
with SSEC home-base support
17 Jan 2006. Aqua MODIS Visible RGB image
Scanning-HIS
900 cm-1 Tb
TES footprints
(predicted)
AIRS & S-HIS Window/N2O/CH4 & H2O
Brightness Temperature (K)
CRAVE Flight 1/17/06
AIRS
Scanning-HIS
wavenumber (cm-1)
Chris Moeller
MODIS L1B and L2
Validation Studies
•ER-2 Aircraft flights with
MAS, SHIS, CPL
•Radiometric biases
•Cloud Height Validation
•L1B calibration components
Cloud Top Height
Validation
Collection 3
Calibration
Coeff. Mods
MODIS Observed – Predicted (K)
Calibration Impact (K)
Optical Leak
Correction
MODIS
Footprint
36 km
11 um
12.0
13.3
13.7
13.9
14.2
Radiometric Bias
Collection 4,5
Scene Temperature (K)
MODIS Band Number
Simon Hook, JPL
WVSS-II Laser Diode Moisture Sensor Validation
AERIBago, 07-18 November 2006, Louisville, KY
Bago Vaisala RS-92 Rawinsonde
moisture is generally higher than a
Laser Diode Sensor
United Parcel Service B757
aircraft carry these WVSS-II
moisture sensors
Sarah Bedka, Wayne Feltz, Ralph Petersen, Erik Olson
To Analyze
1)
2)
3)
4)
5)
6)
7)
8)
9)
Planetary Meteorology
Tropical Cyclones and Global Warming
Surface emissivity
AERI-Niger & CLOWD
PEATE (Product Evaluation and Algorithm Test
Element)-MODIS Test
MODIS & WRF Model Cloud comparison
AIRS Cloud Clearing
GOES-R Algorithm Working Groups
Analysis Tool- GOES-R Demo
Research on Outer-Planet Atmospheres at SSEC
L. A. Sromovsky, P. M. Fry
Planets:
Research:
Jupiter, Uranus, Neptune
Atmospheric circulation
Dynamics of circulation features
Vertical cloud structure and composition
Techniques:
Spectroscopy and Imaging
Data Sources:
Hubble Space Telescope.
Ground based telescopes (Keck and IRTF).
Archived data from past space missions.
RECENT WORK ON URANUS
New multi-wavelength CCD observations with the Hubble Space
Telescope discovered the first Northern hemisphere dark spot on Uranus.
From the Hubble Space Telescope web page:
Moon
Shadow
Shadow
Ariel
Uranus
Earth
Our 2006 HST observations also captured the first image of
a solar eclipse on Uranus, this one by the moon Ariel.
From the Hubble Space Telescope web page:
RECENT WORK ON URANUS
New multi-wavelength near-IR observations at the Keck Observatory probe a
range of pressures to reveal vertical structure of Uranian clouds.
Methane
Hydrogen
The last observing run was
shortened by a 6.7 magnitude
earthquake on the Big Island
of Hawaii, damaging the Keck
telescope and remote
observing facility. It also
cracked pavement and
blocked roads with boulders.
Uranus’ brightest
cloud feature
Our new analysis of Uranus’ brightest cloud feature combines HST and Keck
observations to reveal a long lifetime, vertical evolution, and superimposed
oscillations in latitude and longitude, with Rossby and inertial periods.
Are global trends in hurricane intensity real or are they
introduced by data heterogeneity? To answer this
question, we constructed a more consistent record and
performed trend analyses on 2046 tropical cyclones
Collect world-wide geostationary satellite data
Reanalyze to 8 km footprints to make it homogeneous
(performed by ISCCP project)
Construct an objective algorithm that estimates hurricane
intensity from window channel brightness temperature
Objective
Algorithm
Intensity estimate
Based on radial crosssection of Tb from eye
outward
Jim Kossin
How does our new consistent record compare with present
records in the world’s best measured ocean basins?
New record
Old record
Excellent agreement in variability and trends of cyclone
energy in the Atlantic and East Pacific. This gives us
confidence that our algorithm is robust. Now we apply it to the
remaining ocean basins.
In the remaining ocean basins (NIO, WPAC, SIO, SPAC),
the upward trends in present records are shown to be spurious
All trends are significant in the old “best track” records
No trends are significant in the new UW/NCDC record
Paper in review:
Kossin, J. P., K. R. Knapp, D. J. Vimont, R. J. Murnane, and B. A. Harper, 2006:
A globally consistent reanalysis of hurricane variability and trends. Geophys. Res. Lett.
Climate Change:
It is changing, but how is complicated
Careful observations and analyses are certainly needed!
UW Global IR Land Surface Emissivity Database
Suzanne Seemann and Eva Borbas
4.3 μm
8.3 μm
10.8 μm
Dataset available: http://cimss.ssec.wisc.edu/iremis/
Paper is submitted to JAM in September 2006:
Seemann et al.: A global infrared surface emissivity database for
clear sky atmospheric
sounding retrievals from satellite-based
radiance measurements
Applications/Users:
MODIS Atmospheric Retrievals MOD07 (UW,NASA DAAC)
IMAPP/AIRS retrievals (UW)
Climate Monitoring SAF (EUMETSAT)
Cloud and Ozone retrieval from SEVIRI (EUMETSAT)
AIRS Retrieval of Dust Optical Depths (UMBC/ASL)
IASI-Metop Cal/Val (CNES, France)
Retrieval of hot spot data from AATSR (ESA)
Energy balance from ASTER over glacier (Univ of Milan)
AIRS trace gas retrieval for pollution monitoring
(Stellenbosch University, South-Africa)
Education (Seoul National Univ.; NTA, Konstantin)
August, 2003
8.3 μm
MOD07 TPW with two different surface emissivities
Emis=1
Emis=BF
MOD07 TPW with emis = 0.95
MOD07 TPW with Baseline Fit emis
NCEP- GDAS
Terra, August 1, 2005,
20-23 UTC
NCEP-GDAS TPW analysis
Emissivity Time Series
February
another “color” to record change
Baseline Fit emissivity was derived from MYD11 L3 monthly
data from 9/02 to 3/06 globally at 0.05 degree spatial
resolution. This dataset can be used to monitor changes in
land surface emissivity seasonally or from year-to-year in a
particular region (Amazon region at LEFT) or at selected
locations (BELOW).
August
Improved GOES water vapor soundings
from better surface emissivity and background error characterization
Validation with ARM site
3 years’ microwave
radiometer TPW
measurements
GOES Sounder new
algorithm gives better
TPW retrievals than
both the forecast and
the legacy product.
bias =-0.455
RMSe=2.7959
Forecast
Legacy retrieval
New retrieval
GOES retrieval team: Jun Li, Zhenglong Li, Tim Schmit, Sarah Bedka, etc.
Dave Turner, AERI mentor for ARM
Liam Gumley, Bryan Baum, Steve Dutcher
WRF Model & MODIS Cloud Data Intercomparison
Jason Otkin & Tom Greenwald
Visible Imagery
Cloud Optical Depth
Large extratropical cyclone over
North Atlantic Ocean
• Extensive upper- and lowerlevel cloud cover
• Wide range of cloud optical
depths and cloud top pressures
• Very challenging modeling and
observational case study
•
Cloud Top Pressure
WRF Model Domain
WRF (Weather Research and
Forecasting) Model
• 1000 x 1000 grid point domain
with 4-km horizontal resolution
• 3 MODIS overpasses across
WRF model domain
•
WRF Model & MODIS Cloud Data Intercomparison
Jason Otkin & Tom Greenwald
‹
‹
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‹
Eight model simulations performed
using different microphysical and PBL
parameterization schemes with varying
levels of sophistication
Model simulations and MODIS cloud
data contain very similar cloud water
path frequency distributions
Higher occurrence of low cloud optical
thicknesses in MODIS data likely due to
broken cloud structure
MODIS likely underestimates the
frequency of high optical thickness
clouds due to signal saturation
WRF model produces realistic cloud
properties with most sophisticated
schemes performing the best
AIRS/MODIS Cloud-Clearing
Global Analysis and Characterization (1-1-2004 to 2-15-2004)
Allen Huang, Hong Zhang, Jun Li, and Elisabeth Weisz
25
Percentage (%)
AIRS Sounder
Cloud Clearing
using MODIS
Imager:
An alternative to
the processing
cloudy radiances
20
15
10
5
0
147- 10- 13- 16- 19- 22- 25- 28- 31- 369- 12- 15Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Feb Feb Feb Feb Feb
Date (2004)
Clear (13.26%)
Cloud-Cleared (20.60%)
CC Failed (17.78%)
¾Significantly increases available data on lower atmosphere, compared to using
only channels not sensitive to clouds as in most current forecast applications
¾Quantitative cloud clearing errors (bias & RMS) are derived for assimilation
and retrieval applications (see next slide).
AIRS Cloud-Clearing Error Estimates
(1-1-2004 to 2-15-2004)
Bias (K)
Standard Deviation (K)
Wavenumber (cm-1)
Cloudy soundings from GIFTS radiances simulated disk with WRF
High spatial resolution gives more “clear holes” and provides above-cloud soundings
True temperature images at significant levels
(Background is BT image of a GIFTS H2O
absorption channel)
Retrieved temperature images at significant levels
(Retrievals are from simulated GIFTS radiances)
GOES-R AWG sounding team: Jun Li, Tim Schmit, Chian-Yi Liu, Jinlong Li, Elizabeth Weisz, etc.
Good collaboration with EUMETSAT
(CIMSS algorithm applied to SEVIRI) !
AURA
SEVIRI data from EUMETSAT
Meteosat
Total Ozone (DU)
SEVIRI ozone agrees with OMI
GOES-R trace gas team: Jun Li, Xin Jin, Chris Schmidt, Tim Schmit, etc.
UW/CIMSS
GOES Total Ozone from12 Feb 2006
GOES-R Cloud AWG
•UW-members: A. Heidinger (chair), M. Pavolonis, T. Schreiner, B. Baum, and J. Jung
•Cloud Application Team kicked-off GOES-R AWG efforts (June 2006)
•Completed Algorithm Design Review (December 1, 2006)
•Developed flexible algorithm
processing capabilities (GEOCAT)
•Developed validation methods and tools,
including use of GLAS lidar
Multilayered
cloud effect
Temperature
inversion?
Small particle cirrus
Cluster Computing for GIFTS/GOES-R
made easy enough for me to run something on my laptop
‹
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‹
‹
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Analysis of the huge data volumes can be tamed by clusters
But, achieving a convenient user interface is a real challenge
Bruce Flynn is charging ahead toward the solution for a demonstration
as defined by Bob Knuteson
The demonstration is based on a day of WRF simulated GIFTS data
With a few instruction from Bob, I was able calculate and display an
isosurface of relative humidity for two GIFTS cubes in < 1 minute
To Apply
1)
2)
3)
4)
5)
6)
7)
8)
9)
10)
Agriculture
Nowcasts from GOES Products
NWP and Chemical Modeling
CRAS Model
AWIPS inputs from MODIS
Direct Broadcast and IMAPP
IDEA Air Quality goes 3-D
SNAAP Nowcasting and Aviation
Biomass burning
GFS Hurricane track errors
Agricultural Applications:
Two-tier System
‹ Regional
Christine Molling
model produces quantities common
to virtually all crop models
‹ Regional model output is foundation for minimodels, which are tailor made to produce
specific products
‹ mini-models (aka post processors, plug-ins,
add-ons, gadgets) work at field scale
‹ Mini-models produce actionable output
Regional Scale
Model produces 1km x 1km
gridded quantities. Outputs
generally not useable by
customer at this scale.
•Canopy air temp
•Canopy RH
•Canopy wind speed
•Plant surface wetness
•Leaf temperature
•Growing degree days
•Evapotranspiration
•Etc.
Data used
•1km x 1km gridded weather
•1km x 1km gridded soil
•Generic crop
Field Scale
Mini-models create field-specific
information products. These
outputs are useable by customer.
•Grain moisture
•Irrigation scheduling
•Trafficability
•Harvest quality
Data used
• 1km x 1km
gridded regional
output
• crop and
hybrid
• planting date
• field soil type
• in-field
observations
Christine Molling
Agricultural Applications: Quantifying
Phosphorus losses from Agricultural Fields
16
Erosion: 46 site-events, 3 fields
14
RMSE = 1.025 t ha
Opitz Field
-1
-1
PALMS (t ha )
12
P deposition
10
8
P Erosion
6
Site 1
Site 2
4
Site 3
2
Total P erosion
0
0
2
4
6
8
10
12
14
16
-1
Measured (t ha )
hydrograph for one grid cell
erosion on one grid cell
Forecasting Corn Grain Moisture
Lutz
70.00
% moisture
60.00
50.00
Lutz obs
Lutz sim
40.00
sim+3%
sim-3%
30.00
20.00
10.00
8/11/2006
8/21/2006
8/31/2006
9/10/2006
9/20/2006
9/30/2006
10/10/2006
10/20/2006
10/30/2006
11/9/2006
day
Exner W
70.00
% moisture
60.00
50.00
Exner W obs
Exner W sim
40.00
sim+3%
sim-3%
30.00
20.00
10.00
8/1/2006
8/11/2006
8/21/2006
8/31/2006
9/10/2006
9/20/2006
day
9/30/2006
10/10/2006
10/20/2006
10/30/2006
11/9/2006
Input on
when to
harvest
Using GOES DPIs to PREDICT Convective Destabilization
Nowcasts of where Low-level Moistening and Upper-level Drying will occur simultaneously
Ralph Petersen/Bob Aune
RUC Winds give
3-6 hour predicts
from GOES
product images
Vertical Moisture Gradient
(900-700 hPa GOES PW 700-500 hPa GOES PW)
0 Hour Nowcast for 2100UTC
From 13 April 2006 2100UTC
Stable
Ð
Vertical
Moisture
Gradient
Unstable
from
Dry
13 April 2006 – 2100 UTC
700-300 hPa GOES PW
0 Hour Nowcast
13 April 2006 – 2100 UTC
900-700 hPa GOES PW
0 Hour Nowcast
Upper-level
Dryness
(left)
Ð
and
Moist
Low-level
Moisture
(right)
The results – Millions of $s in damage,
including Paul Menzel’s gutters & Ralph’s car roof, hood, trunk, etc. (he was here)
Summary – An Objective Lagrangian Nowcasting Model
- Quick and minimal resources needed
- Can be used ‘stand-alone’ or to ‘update’ other NWP guidance
DATA DRIVEN
- Data can be inserted (and combined) directly without ‘analysis smoothing
- Nowcasts retain useful maxima and minima – even with current GOES
Forecast Images agree with observations and provide accurate/timely guidance
Stable
Ð
Unstable
Dry
Ð
Moist
Goals can be met:
- Provide objective tools to increase
the length of time that forecasters
can make good use of dependable
observations (vs. only NWP output)
for their short range forecasts
-Expand the use of
GOES sounder products from
subjective observations to objective
nowcasting tools
-Plan to test system in nearby WFOs
during next year
The 15th Floor Modeling and Analysis Group
UW global hybrid isentropic coordinate model
for Climate, NWP, and Air Quality Chemistry
Donald Johnson, Allen Lenzen, Todd Schaack, Tom Zapotocny
4+ years of comparison with NCEP GFS Model
UW = 0.813841
GFS = 0.813839
UW
Northern Hemisphere 01 Apr 2002 - 30 Sep 2006
GFS
0.9
0.8
0.7
0.6
0.5
1644 Forecasts
60828
60713
60528
60412
60225
60110
51125
51010
50825
50710
50525
50409
50222
50107
41122
41007
40822
40707
40522
40406
40220
40105
31120
31005
30820
30705
30520
30404
30217
30102
21117
21002
20817
20702
20517
0.4
20401
NH day-5 500 mb
geopotential height
anomaly correlation
from the UW hybrid
model and the
NCEP GFS
Anomaly Correlation
1
Date
Identical skill with NCEP forms a strong recommendation for the
UW model, given its lower resolution and relative group resources
Real-time Air Quality Modeling System (RAQMS)
Global/regional chemical modeling & data assimilation system
Collaboration - NASA Langley and the University of Wisconsin - Madison
RAQMS 2006: Supported Aircraft Field Experiments
with 5-day global forecasts of composition and weather
•NASA INTEX NA - Intercontinental Chemical Transport Experiment – N America
•NOAA Texas Air Quality Study/Gulf of Mexico Atmospheric Composition and
Climate Study field campaign
84 hour forecast
of tropospheric
column ozone
20 October 2006
CRAS Forecast Satellite
Imagery Input to AWIPS
Forecast 11μm and 6.7μm imagery are being
generated using output from the CIMSS
Regional Assimilation System (CRAS) in real
time and transferred to the AWIPS at the NWS
Forecast Office in Sullivan, Wisconsin, as part
of an experimental satellite products evaluation
project. The real time CRAS uses 3-layer
precipitable water and cloud-top pressure
retrievals from the GOES sounders to initialize
water vapor and clouds prior to each forecast.
AREA FORECAST DISCUSSION
NATIONAL WEATHER SERVICE MILWAUKEE/SULLIVAN WI
836 PM CST THU NOV 30 2006
.....IN ADDITION CRAS IR HAS VERY GOOD INITIAL
DEPICTION OF BAROCLINIC LEAF SIGNATURE
DEVELOPING OVER KANSAS AND PROGS SOUTHERN
EDGE OF THIS SIGNATURE OVER WARNING AREA
BETWEEN 12Z AND 15Z FRIDAY.....
(From a recent forecast discussion message.)
(R. Aune, ASPB)
(Screen captures courtesy of S. Bachmeier, CIMSS)
MODIS into AWIPS
(Advanced Weather Interactive Processing System)
Steve Wanzong, Jordan Gerth, Russ Dengel, Gary Wade,
Scott Bachmeier, Scott Lindstrom, Jerry Robaidek, TomWhittaker, Kathy Strabala
‹ CIMSS
began routine insertion of MODIS products
into AWIPS central region data feed on 30 June 2006
– Current feed consists of
» MODIS L1B Bands 1 (.86 micron), 7 (2.1 micron), 26 (1.38
micron), 20 (4.0 micron), 27 (6.7 micron) and 31 (11 micron)
» Products – Cloud Phase, TPW, Cloud Top T, Fog, SST
– Keys to success
» Provide something better or new to forecasters (ie, higher
spatial resolution)
» Must be placed in format that can be accepted by AWIPS
» Must have a person at the forecast offices to champion the
data (SOO – Dan Baumgardt – ARX Jordan Gerth – MKX)
» VisitView forecast training modules – Scott Bachmeier
Forecasters view MODIS
TWP and Fog products
Sullivan, WI Weather Service Field Office July 2006
EOS Direct Broadcast Sites
More than 150 ground stations around the world
(not all are shown on this map from Nov. 2003)
Direct Broadcast: Activities Overview
‹ Real
time data processing and distribution
– Real time direct broadcast web page for quick look
data, instrument data, and products
– Support of environmental monitoring and weather
forecasting where quality and timeliness are vital
(Polar winds, IDEA, AWIPS, public interest images,
etc)
‹ Software
development and distribution
– IMAPP allows other users the ability to support their
own real time data and processing systems
– Testbed for MODIS/AIRS products
– Support of our own research (total control of system
from end to end)
‹ Remote
sensing workshops
– Global outreach
Remote Sensing Workshops
Paul Menzel, Allen Huang, Liam Gumley, Paolo Antonelli, Tom Rink,
Jeff Key, Steve Dutcher and Kevin Baggett
‹
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‹
‹
‹
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Nanjing, China (2004)
Perth, Australia (2004
Taipei, Taiwan (2005)
Beijing, China (2005)
Ardenes, Norway (2006)
Pretoria, S. Africa (2006)
IMAPP AIRS Level 2 retrieval software v1.3
(released November 2006)
The regression based algorithm produces temperature, humidity and
ozone profiles, surface skin temperature and surface emissivity at
single AIRS pixel resolution
Surface Skin Temperature
IMAPP AIRS RTV
ECMWF Analysis
MOD07 product
Elizabeth Weisz
IDEA:
Infusing satellite Data into Environmental Applications
‹
This year we shifted to 3D-AQS:
the 3D Air Quality System, to
visualize aerosols over the U.S.
in three dimensions
‹
Delivered the IDEA code to
NOAA for transition to real-time
operational aerosol forecasting
‹
Added a full, interactive image
of aerosols across the 48 states.
First screenshot of CALIPSO transect of aerosols
(in color) shown in conjunction with an AIRS
longwave IR swath (in grayscale).
Project members: Steve Ackerman, Scott Bachmeier, Bill Bellon, Scott Lindstrom, Jerrold
Robaidek, Tom Rink, Tony Wimmers
Comparison of GOES WF_ABBA and MODIS Fire Products
1 - Hour Window Comparison
GOES Fire Pixels
68% Outside of the MODIS field of view
13% Within MODIS field of view, but no match
19% MODIS match
MODIS Fire Pixels
57% No GOES match
43% GOES match
12 - Hour Window Comparison
GOES Fire Pixels
0% Outside of the MODIS field of view
43% Within MODIS field of view, but no match
57% MODIS match
MODIS Fire Pixels
38% No GOES match
62% GOES match
Elaine Prinn
Hurricane Track Error: Impact of
Removing Satellite or Conventional Data
HIRS has more
effect than AMSU,
and
GOES winds show
the largest effect
in the Pacific
Tom Zapotocny
Jim Jung
Atlantic Basin
250
200
Control
NOSAT
150
NOCON
100
50
0
12 hrs
24 hrs
36 hrs
48 hrs
72 hrs
96 hrs
120 hrs
32
27
27
23
17
14
12
Forecast Time [hours] and Counts
600
Average Track Error [NM]
Impact on WFS
Model Hurricane
Track Forecast
Average Track Error [NM]
300
East Pacific
500
400
Control
NOSAT
300
NOCON
200
100
0
12 hrs
24 hrs
36 hrs
48 hrs
72 hrs
96 hrs
17
12
10
8
2
2
Forecast Time [hours] and Counts
C. Other 2006 Events
15th International (A)TOVS Study
Conference (ITSC-15) in Maratea, Italy
‹
‹
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Many NWP centres assimilating
radiances from AIRS and
showing significant positive
forecast impact.
IMAPP used by many countries
for imagery and Level 2 products
Coordination on methods for
training young scientists on
remote sensing systems and
products
Reports on the 27 years of quality
climate data and products;
discussion on the need for
improved instrument cross
calibration
International TOVS Working Group
Recent Co-chairs
Recently De-manifested
Recently Elected
Tom Achtor
Allen Huang
Wilt Sanders at NASA Headquarters
Letter from Anne L. Kinney, Director, NASA’s Universe Division
[This is an excerpt from a long letter.]
‹
‹
‹
‹
For the past year and a half Dr. Wilt Sanders has been working in the Astrophysics
Division within the Science Mission Directorate at NASA Headquarters. I am very
impressed with the work that Dr. Sanders has done at Headquarters and want to make
sure that his home institution knows about the invaluable role that he is playing in the
science program … .
… He has exerted a quiet science leadership with considerable dedication and
considerable organizational skills. By year’s end we asked him to take on the
management of the suite of programs making up the whole Research and Analysis
budget, a program of approximately $65M per year, across a broad range of scientific
topics including technology development, theoretical studies, and general research. He
has brought better order to our grants program, enabling us to do a better job of
managing the research as well as managing our science resources.
… Dr. Sanders brings a particularly intelligent touch to leading the group at
Headquarters and to communications with the larger science community. He is a
credible lead because of his high level of competence and his high level of dedication.
We are very grateful to have Dr. Sanders here, and grateful for the improvement that he
has brought to the research program.
I am myself a graduate from the University of Wisconsin, … and so am particularly
happy and proud when another Badger excels at their job the way that Wilt has.
Beautiful Snow Line
1 December 2006
“Fader” tool uses
2.1 microns to reveil
Surface ice over
N Missouri/ S Iowa
MODIS Visible
Scott Bachmeier
Flash Food, 27 July 2006
Tommy Jasmin
Scott Bachmeier
Thanks to Sanjay, some of us
really experienced New Delhi
Jantar Mantar
Thanks for coming
Thursday will be here soon—
So we can party