Why GOES-R? - Office of the Federal Coordinator for Meteorology ...

GOES-R Series:
The Next Generation of
GOES
Committee on Integrated Observing Systems
Office of the Federal Coordinator for Meteorology
Greg Mandt
System Program Director

Outline
• Overview
• Spacecraft & Instrument Capabilities
• Ground Segment Status
• Algorithm Status
• User Readiness
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Why GOES-R?
• Continuation of the U.S. capability required to observe, protect and manage the earth’s resources to
promote environmental stewardship.
• Enhance ability to predict and track storms; plan routes for airlines and ship traffic, identify demands for
natural resources such as gas and water, and assess space weather impacts on sensitive electronics such
as satellites and terrestrial communications.
GOES-R Instruments
Improve hurricane track & intensity forecast
Improve thunderstorm & tornado warning lead time
Improve aviation flight route planning
Improve solar flare warnings for communications and
navigation
Improve power blackout forecasts due to solar flares
Improve energetic particle forecasts
Advanced Baseline Imager (ABI) and
Geostationary Lightning Mapper (GLM)
Extreme Ultra Violet Sensor /
X-Ray Sensor Irradiace Sensor (EXIS)
Solar Ultra Violet Imager (SUVI)
Space Environmental In-Situ Suite
(SEISS)
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GOES Program History
GOES 4-7
• Vertical profiling
GOES 13,14,15
• Simultaneous, independent
imaging, sounding
1975 1980 1994 2006 2015
GOES 1-3
• NOAA’s First GOES
• Spin-stabilized
GOES 8-12
• 3-axis stabilized
• Simultaneous imaging,
sounding 100% of time
GOES-R series
• Improved spectral, spatial
and temporal resolution in
imaging
• Lightning mapping
• Improved space weather
monitoring
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Continuity of GOES Operational Satellite Program
Calendar Year
As of September 1, 2010
07 08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27 28 29 30 31 32 33 34 35 36
GOES-11
GOES West
GOES-12*
Transitioning to South American Operations
GOES-13
GOES East
GOES-14
On-orbit spare
GOES-15
In post launch checkout
GOES-R
GOES-S
GOES-T
GOES-U
Satellite is operational
beyond design life
* Backup and South American Coverage
beginning June 2010
On-orbit GOES storage
Operational
Future Options
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GOES-R Program
Management Structure
Program Scientist (NOAA)
Lead: Steven Goodman
GOES-R Program Office
System Program Director (SPD): Greg Mandt (NOAA)
Deputy SPD: Rick Pickering (NASA)
Assistant SPD: Mike Corbett (NOAA)
Program Control
Lead: Stephen Shaeffer (NOAA)
Program Systems Engineering
Lead: Barbara Pfarr (NASA)
Deputy: Craig Keeler (NOAA)
Program Mission Assurance
Lead: Roman Kilgore (NASA)
Contracts
Lead: Kelly Mabe (NOAA)
NESDIS STAR
(Algorithm Development)
Flight Project
Project Manager: Michael Donnelly (NASA)
Deputy (Spacecraft): Tim Walsh (NOAA)
Deputy (Instruments): Kathy McIntyre (NASA)
Ground Segment Project
Project Manager: Vanessa Griffin (NOAA)
Deputy: Robin Pfister (NASA)
Assistant: Vacant (NOAA)
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2007 2008 2009 2010 2011 2012 2013 2014 2015
Program
/System
Spacecraft
System Design
Review complete
Spacecraft SDR
Complete
Working towards System PDR
Working towards PDR in
January 2011
Launch
Readiness
Oct. 2015
Flight
Segment
Ground
Segment
Instruments
5 Instrument contracts
underway
EXIS & SUVI
passed CDR
Core contract awarded
to Harris Corp.
Core SRR complete
80% delivery of baseline
product algorithms
RBU lease awarded
Development
ABI PTM in thermal
vacuum (TVAC) testing
GLM CDR in December
Antenna and GAS
contracts awarded
Working towards PDR in
Spring 2011
Integration and Testing
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GOES-West
137° West GOES-R System Configuration
GOES-East
75° West
Other Users
Remote
Backup Facility
Fairmont, WV
NOAA
Satellite Operations Facility
Suitland, MD
Command and Data Acquisition Station
Wallops, VA
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8

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GOES-R Spacecraft
Specifications
Size: ~5.5 meters (from launch vehicle interface
to top of ABI)
Mass: Satellite (spacecraft and payloads) dry
mass 4000W at end-of-life (includes
accounting for limited array degradation)
Current Status
• Lockheed-Martin Space Systems Co (LMSSC) of
Newtown, PA is primary contractor
• Spacecraft System Definition Review (SDR)
completed March 9-10, 2010.
• Spacecraft baseline established in April 2010.
• Working towards Preliminary Design Review
(PDR) in January 2011.
Solar UV Imager
(SUVI)
Space Environment
In-situ Suite (SEISS)
Geostationary Lightning
Mapper (GLM)
Extreme UV/X-ray
Irradiance Sensor (EXIS)
Magnetometer
Advanced
Baseline Imager
(ABI)
Unique Payload Services:
• High Rate Information Transmission/Emergency Managers Weather
Information Network (HRIT/EMWIN)
• Data Collection System (DCS)
• Search and Rescue Satellite Aided Tracking (SARSAT) Repeater
• GOES-R Re-Broadcast (GRB)

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Advanced Baseline Imager (ABI)
Specifications
• 16 channel imager
• Improves upon current capabilities in spectral information (3X),
spatial coverage (4X), and temporal resolution (5X)
• Continues current products and will enable new products for severe
weather forecasting, fire and smoke monitoring, volcanic ash
advisories, and more
Current Status
• ITT Corporation (Ft. Wayne, IN) is primary contractor
• PTM instrument team successfully completed Bench Testing, Vibe
Testing and EMI Testing early
• The ABI PTM is now undergoing thermal vacuum (TVAC) testing
‣ Plan to complete testing ~ December
• ABI Flight Model activity centered on suppliers and module level
Delta CDRs
ABI Proto-Type Model (PTM)

ABI: Improved Resolution
Corresponding Simulated GOES Imager Spectral Bands:
Simulated “ABI” Spectral Bands:
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ABI Scan Mode 3 Product
Demonstration
Courtesy of J. Li, CIMSS
Total precipitable water (TPW) and Lifted Index (LI) are demonstrated in a Mode 3 timeline
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GOES-R Fog Probability
Product Improvements
• Improved algorithm technology - the GOES-R algorithm provides quantitative information on fog
probability, while heritage GOES fog detection products are more qualitative in nature
• Improved sensor technology - the ABI has greatly improved spectral information, spatial resolution,
and temporal resolution
Heritage GOES
Fog Detection
GOES-R Algorithm
Applied to GOES
GOES-R Algorithm
Applied to GOES-R
Courtesy: Mike Pavolonis/NESDIS STAR
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GOES-R Atmospheric Motion Vectors
Product Example: Hurricane Katrina
Low-mid level vectors - cyan
IR AMVs derived from current GOES-12
4km resolution; 15-minute time step
Upper-level vectors - yellow
IR AMVs derived from WRF model images
using simulated future GOES-R radiances
2 km resolution; 5-minute time step
Courtesy C. Velden: UWisc-CIMSS/NOAA-STAR
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Volcanic Ash Product Suite
(Extent, Height, Mass Loading, Size)
- Eyjafjallajökull Volcanic Ash Cloud -
The GOES-R ash cloud heights closely match the
CALIPSO cloud top boundary. The traditional
methodology underestimates the cloud height.
Ash cloud cross-section
White: GOES-R Heights
Magenta: IR Window Heights
May 6, 2010 (14:00 UTC)
The ash cloud top height is critically important for determining if ash is at jetliner cruising altitudes
(nowcasting component). In addition, the ash cloud height is a very important parameter for initializing
dispersion models (forecasting component).
Courtesy: Mike Pavolonis/NESDIS STAR
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Geostationary Lightning Mapper (GLM)
Specifications
• Detects total lightning: in cloud, cloud to cloud,
and cloud to ground
Sensor Unit
Mechanical
Support Structure
Metering tube
Optical Assembly
– Aids in forecasting severe storms and
tornado activity, and convective weather
impacts on aviation safety and efficiency.
– Currently no ocean coverage, and limited
land coverage in dead zones
Current Status
• Lockheed Martin Applied Technology Corp (Palo Alto, CA)
is primary contractor
• Critical Design Review scheduled for December 2010
• Engineering Design Unit (EDU) continuing to go thru
fabrication
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GOES-R+S
GLM Combined FOV
GLM Characteristics
• Staring CCD imager
(1372x1300 pixels)
• Near uniform spatial
resolution
- 8 km nadir
- 12 km edge fov
• Single band 777.4 nm
• Simple commanding
• Adaptive thresholding
• 2 ms frame rate
• 7.7 Mbps downlink rate
• < 20 sec product latency
LIS/OTD Combined Lightning 1997-2005
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Lightning Trends
Depict Storm Intensification
Total lightning (Upper) from the North Alabama LMA coincident with NEXRAD radar-derived storm
relative velocity (Lower) at 1236 (Left) and 1246 (Right) UTC on 6 May 2003. The lightning surge of
over 200% occurs 14 minutes prior to a confirmed tornado touchdown.
Image courtesy of Geoffrey Stano and SPoRT.
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Space Weather Instruments
…Space Environment Impacts Earth!
– Instruments provide early warning
– Communications satellites / power grids
– Voice and data blackouts over poles
• Communications blackouts
• Aviation routing
– Astronaut safety
• Solar storms can expose astronauts to equivalent
of 8 chest X-rays
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Space Weather Instruments
Current Status:
• Extreme UV/X-ray Irradiance Sensor (EXIS)
‣ Completed CDR in November 2009
‣ Procurement & fabrication of flight parts is underway
SUVI Structural Assembly
• Space Environment In-Situ Suite (SEISS)
‣ Completed CDR in June 2010
‣ Program focus has been on transitioning to flight model
manufacturing
• Solar UV Imager (SUVI)
‣ Completed CDR in December 2009
‣ EDU integration ongoing & flight fabrication underway
EHIS
SGPS
DPU
MPS-Lo
MPS-Hi
SEISS Brassboard Units
EXIS Instrument
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GOES-R Ground System
System Architecture
Remote Back-Up Facility
NOAA Satellite
Operation Facility
GAS
Wallops Command and
Data Acquisition Station
AWIPS
(NWS)
CLASS
(OSD)
Product
Users
Dk. Blue – Primary
Lt. Blue – Back-up

Ground Segment Status
• Integrated Baseline Review (IBR): Government
review of Harris concluded proper integration
of planned cost and schedule into the contract
baseline (November 2009)
• Core GS System Definition Review (SDR): Joint
Harris/Government SDR passed with “Green”
rating in April 2010
• Core GS Preliminary Design Review (PDR)
scheduled for February 28 – March 4, 2011
• Established stakeholder Steering Group
• Draft GOES-R Metadata plan released
NOAA Satellite Operation Facility (NSOF)
Suitland, Maryland
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Ground Segment Status (con’t)
Remote Backup Unit (Fairmont, WV)
• Lease signed in Dec 2009
• Site preparations are underway
Antenna System
Contract awarded to Harris Co.
in July 2010
Wallops, VA
ESPDS/GOES-R Access System (GAS)
• Evolution of legacy ESPC systems including data ingest, product processing & distribution for
future JPSS & GOES-R era
• Contract awarded to Solers, Inc. in August 2010
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Algorithm Working Group
Algorithm
Development
Calibration, Validation,
and Verification
Algorithm Sustainment
and Product Tailoring
AWG Achievements:
• 80% Algorithm Packages for Baseline
Products completed Sept 2009
Looking forward to:
• 100% Algorithm Packages for
Baseline Products due Nov. 2010
• 80% Algorithm Packages for Option
Products due November 2010
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GOES-R Products
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Algorithm Testing and Validation
“Ground Truth” Datasets…
Aeronet Stations
Aerosol Optical Depth
CALIPSO, CLOUDSAT
Clouds, Icing
Bouys, Ships
SST
SURFRAD, ARM
LST, Radiation
Radiosondes
Winds, Temperature,
Moisture, Stability
NWP Analyses
Winds, Temperature,
Moisture
Rain Guages
Precipitation
Sfc Snow Reports,
NESDIS IMS
Snow
Ground-based Ozone
Ozone
Pilot Reports
Icing,Turbulence
National Lightning
Detection Network (NLDN)
Lightning
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Algorithm Maturity & Validation
Proxy & Ground Truth Datasets
•Algorithms mature; get
better algorithms
Seasonal conditions
represented
Wide variety of
atmospheric and
surface conditions
are represented
Level 2 Product
Generation
Validate with
Ground Truth
MORE IS
BETTER!!
•Better estimates of
product performance
• Increased confidence
that on-orbit product
performance will meet
specs
• Increased confidence
that user needs are met
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User Readiness
Training and Education
• Online training modules
• http://meted.ucar.edu/goes_r/envmon/
• http://cimss.ssec.wisc.edu/satmet/
Proving Ground
• Working with cooperative institutes, weather
forecast offices, NCEP National Centers, and
NOAA Testbeds (75+ partners)
• Intended outcomes are Day-1 readiness and
maximum utilization for both the developers
and users of GOES-R products, and an
effective transition to operations
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GOES-R Proving Ground
Aerosols/Dust
GOES-R Proving Ground bridges the gap
between research and operations:
– Utilizing current systems (satellite, terrestrial,
or model/synthetic) to emulate future GOES-R
capabilities
– Infusing GOES-R products and techniques into
NWS operations with emphasis on AWIPS and
transitioning to AWIPS-II.
– Putting prototype GOES-R products in hands of
forecasters
– Keeping lines of communication open between
developers and forecasters
– Allowing end user to have say in final product,
how it is displayed and integrated into
operations
Derived Winds
Lightning
Radiances
Volcanic Ash
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Thank you!
Any ???