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Ronald J' Birk

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Title: Ronald J' Birk


1
NASA Science and Space Systems benefiting
SocietyPolarMax- Future Polar Orbiting
SystemsOctober 27, 2006
  • Ronald J. Birk
  • Applied Sciences Program
  • NASA Science Mission Directorate

2
Over 6 billion people to serve.
3
NASA Observing Spacecraft for Earth-Sun System
Research
4
Earth System Models
5
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6
Integrating Knowledge, Capacity and Systems into
Solutions
7
Application Focus Areas and Partners
8
12 Applications of National Priority
9
National and NASA Objectives
National Objective 5 Study the Earth system
from space and develop new space-based and
related capabilities for this purpose.
NASA Objective 14 Advance scientific knowledge of
the Earth system through space-based observation,
assimilation of new observations, and development
and deployment of enabling technologies, systems,
and capabilities, including those with potential
to improve future operational systems.
NASA Objective 15 Explore the Sun-Earth system to
understand the Sun and its effects on Earth, the
solar system, and the space environmental
conditions that will be experienced by human
explorers, and demonstrate technologies that can
improve future operational systems.
10
Flight Missions in extended period
11
Flight Missions in primary period
12
CloudSat and CALIPSO
CloudSat and CALIPSO will be launched together
from Vandenberg AFB in California on a single
Boeing Delta II rocket. Launch is currently
scheduled for no earlier than Nov. 7, 2005. Both
will join the A-Train formation (Aqua, CloudSat,
CALIPSO, PARASOL, and Aura).
CALIPSO
  • Combines an active lidar instrument with passive
    infrared and visible imagers.
  • Probes vertical structure and properties of thin
    clouds and
  • Atmospheric aerosols
  • Provides new insights into the role clouds and
    atmospheric aerosols play in regulating Earths
    weather, climate, and air quality.

CloudSat
  • Uses an advanced radar
  • Studies clouds and
  • Precipitation
  • Sees clouds vertical structure
  • Provides completely new observational capability.

13
Flight Missions in formulation/development
MC
IT
PDR
LRD
CDR
LRD
IT
CDR
EOPM
LRD
CDR
EOPM
LRD
CDR
PDR
EOPM
LRD
MC
IT
CDR
PDR
LRD
CDR
EOPM
CDR
LRD
EOPM
LRD
LRD Launch Readiness Date EOPM End of Prime
Mission PDR Preliminary Design Review CDR
Critical Design Review MC Manufacturing
Completed IT Integration Test Completed
14
Extending Data System Architecture
Distribution, Access, Interoperability Reuse
Flight Operations, Data Capture, Initial
Processing Backup Archive
Science Data Processing, Data Mgmt., Data Archive
Distribution
Data Transport to DAACs
Data Acquisition
Tracking Data Relay Satellite (TDRS)
Research
Spacecraft
Education
EOSDIS Science Data Systems (DAACs)
Value-Added Providers
Data Processing Mission Control
NASA Integrated Services Network (NISN) Mission
Services
WWW IP Internet
Interagency Data Centers
REASoNs
Earth System Models
Ground Stations
International Partners
Science Teams (SIPS)
Benchmarking DSS
Measurement Teams
Polar Ground Stations
TECHNOLOGY
15
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16
Lambda Inspired Architecture
Primary Computer System (NAS)
Back-Up Computer System (NCCS)
GEOS-5 HRF with GEOS-5 initial conditions
GEOS-5 HRF with NCEP initial conditions
GEOS-4/fvGCM
GEOS-5 HRF with GEOS-5 initial conditions
GEOS-5 HRF with NCEP initial conditions
GEOS-4/fvGCM
GEOS-5 HRF with GEOS-5 initial conditions
GEOS-5 HRF with NCEP initial conditions
All model Outputs
All Model Output When Running Back-Up
GEOS-4/fvGCM
GEOS5-DAS
GEOS5/NCEP
GEOS4/NCEP
Permanent and Back-Up Data Storage
0000 GMT
0600 GMT
1200 GMT
1800 GMT
(TBD) GMT
National Lambda Rail (10Gb/s)
GEOS5 Hurricane Track/Intensity
Temporary Data Storage
GEOS4/NCEP Hurricane Track/Intensity
Hyperwall
FSU Super-ensemble (offline) (production)
Hurricane Center FIU, Miami, FL
NAS/258, GSFC/33, GSFC/28 HQ/SMD (5th fl)
17
GEOS5 Encouraging Results
GEOS-5 shows early forecast of New Orleans
landfall for Katrina
Sample Training Runs for FY04 hurricane cases
18
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19
Solar Storm Simulations with theSpace Weather
Modeling Framework
  • Project Goals
  • Faster than real-time simulation of the entire
    Sun-Earth system following large geo-effective
    solar storms
  • Objectives of Project Columbia Usage
  • Simulate the most geo-effective event of the
    Halloween solar storms of October-November 2003
  • Significant Results
  • Science impacts
  • The reconnection rate in the magnetosphere
    strongly controls the temperature and density in
    the lobes and plasma sheet.
  • Code Performance (speedups)

Impact Due to Project Columbia Matched
simultaneous observations of six satellites
located at very different regions of the
magnetosphere - a qualitative leap in
magnetospheric physics.
PI Tamas I. Gombosi, CSEM, U. Michigan,
tamas_at_umich.edu URL http//csem.engin.umich.edu
20
Project Columbia Supports Modeling and Analysis
Research
21
Evaluating the use of Water Cycle Research Results
Variation in global snow cover for the period
from 2001- 2002 derived from NASA observations
22
Challenges on the Way Ahead
  • Transitioning from research to operations
  • Developing the next generation of Earth
    observation systems and demonstrating the
    sensorweb
  • Characterizing uncertainty in model forecasts for
    weather, climate, and natural hazards
  • Sustaining increases in computing capacity to
    handle volume and range of data from NASA
    observatories
  • Evolving an Earth-Sun System Gateway portal to
    provide interoperability and access between
    research results and integrators

23
RO Transition Timeline
The IBPD Earth-Sun System, Objective 14,
states 14.1 Transfer 30 percent of NASA
developed research results and observations to
operational Agencies.
Pressing issues include timing and targets of
opportunity
Budget Support
RO demo
4 yr Solicitation Cycle
24
Research and Operations
25
Benchmarking Uses of Research Results
NPP (2006) CrIS/ATMS VIIRS OMPS
Coriolis WindSat (2003)
Aqua (2002) AIRS, AMSU MODIS
METOP (2005) IASI/AMSU/MHS AVHRR
NPOESS (2009) CrIS/ATMS, VIIRS, CMIS, OMPS
ERBS
Use of Advanced Sounder Data for Improved Weather
Forecasting Numerical Weather Prediction
NOAA Real-Time Data Delivery Timeline Ground
Station Scenario
NWS/NCEP GSFC/DAO ECMWF UKMO FNMOC Meteo-France BM
RC-Australia Met Serv Canada
NOAA Real-time User
NWP Forecasts
IDPS
C3S
Joint Center for Satellite Data Assimilation
26
Sensor Web Scenario
Autonomous on-orbit re-tasking based on space
sensor web alert
27
Characterizing Uncertainty Earth-Sun System
Laboratories
JCSDA
28
NASA Earth-Sun System Gateway (ESG)
29
Intellectual Leadership
http//science.hq.nasa.gov/earth-sun/applications
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