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Lars Peter Riishojgaard

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Lars Peter Riishojgaard. Global Modeling and Assimilation Office ... Apogee height = GEO technology can be reused. Cost savings. Risk reduction ... – PowerPoint PPT presentation

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Title: Lars Peter Riishojgaard


1
THE MOLNIYA ORBITIMAGERa high-latitude
imaging/winds mission concept
  • Lars Peter Riishojgaard
  • Global Modeling and Assimilation Office/
  • Goddard Earth Science and Technology Center

2
Science Team
  • Lars Peter Riishojgaard, UMBC, PI
  • Bob Atlas, GSFC, Simulation/impact experiments
  • Dennis Chesters, GSFC, Instrumentation, mission
  • Ken Holmlund, EUMETSAT, Algorithm development
  • Jeff Key, NESDIS/ORA, Data processing
  • Stan Kidder, CIRA, High-latitude applications
  • Paul Menzel, NESDIS/ORA, Cloud applications
  • Jean-Noël Thépaut, ECMWF, Global NWP applications
  • Chris Velden, CIMSS/UW, Algorithm development
  • Tom Vonder Haar, CIRA, Satellite meteorology

3
Goddard proposal team
  • Lars Peter Riishojgard (UMBC/GSFC), PI
  • Maureen Madden, Proposal Manager
  • Bill Cutlip, Goddard New Opportunities Lead
  • Will Mast, Mission Systems Engineer
  • John Oberright, Mission Systems Engineer
  • Bob Bartlett, Instrument Systems Engineer
  • Dennis Chesters, GOES Project Scientist
  • Greg Marr, Flight dynamics

4
Overview
  • High-latitude winds and numerical weather
    prediction
  • MODIS winds
  • The Molniya Orbit Imager

5
Why a new weather mission?
  • Weather forecasts (global NWP products) have on
    average become very good
  • Reducing the severity and frequency of forecast
    busts high on NWS list of priorities
  • Busts over North America often have high-latitude
    origins
  • There is a lack of high-latitude wind
    observations

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9
MODIS winds
  • Feature tracking algorithms used on MODIS image
    triplets to derive wind vectors in high latitudes
  • Imagery from two channels, 6.7 µ (WV) and 11µ
    (clouds)
  • Coverage poleward of 65o
  • Positive impact on forecast skill, mostly due to
    6.7µ channel

10
Slide courtesy of Jeff Key, CIMSS
11
animation courtesy of CIMSS
12
Forecast skill at NCEP with MODIS winds (used in
update mode)
13
Improvement in hurricane track forecasting due to
assimilation of MODIS winds (slide courtesy of
Zapotocny et al.)
14
Status of satellite wind observations
  • No operational satellite winds beyond 55-60 deg
    latitude
  • Experimental polar winds from MODIS (until 2008)
  • Data latency is problematic 4 to 6 hours after
    real time
  • Image refresh rate problematic 15 minutes is
    optimal, MODIS 100 minutes
  • No water vapor channel on VIIRS (until at least
    2015)
  • Latitudinal coverage gap between MODIS and GEO
    winds
  • gt Need for geostationary-type imagery over
    high-latitude regions Molniya Orbit Imager is a
    good candidate

15
Molniya orbit characteristics
  • Highly eccentric Kepler orbit
  • Apogee height 39750 km (geostationary orbit
    height 36000 km)
  • Perigee height 600 km
  • Inclination 63.4 degrees
  • Orbital period 11h 58m (half a sidereal day)
  • Location of apogee w.r.t. Earth is fixed and
    stable!
  • Platform in quasi-stationary imaging position
    near the apogee for about two thirds of the
    duration of the orbit
  • Used extensively by USSR (to a lesser degree by
    the US) for communications purposes
  • First suggested for meteorological applications
    by Kidder and Vonder Haar (1990)

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Why Molniya orbit?
  • Quasi-stationary perspective ideal for feature
    tracking
  • Apogee height gt GEO technology can be reused
  • Cost savings
  • Risk reduction
  • Best possible high-latitude coverage per
    satellite
  • Fully complements geostationary data no LEO-like
    latitudinal coverage gap
  • Simple ground segment real-time dissemination
    can be achieved with a single primary ground
    station, as for GEO
  • Target is user delivery of calibrated and
    rectified images within less than 20 minutes and
    winds within less than 60 minutes of real time

18
Molniya OSSE (Observing system simulation
experiment) GEOS-4 Atlas et al.
6-hour winds coverage, 4 LEOs ?
Apogee winds coverage, Molniya ?
Forecast improvement over North America, 48 cases
?
19
Additional science applications
  • Sea ice (Thorsten Markus, GSFC MSC)
  • Age, temperature, motion, thickness, model
    validation
  • Temporal resolution will benefit operational
    applications, studies of polynyas, leads and
    marginal ice zone
  • Vegetation/forest fire monitoring (Elaine Prins,
    NESDIS MSC)
  • Detection, intensity monitoring over Alaska,
    Canada, Siberia
  • Air quality applications over the Continental US
    (NOAA, EPA)
  • Volcanic eruptions SO2, ash clouds (Arlin
    Krueger, UMBC Marianne Guffanti, Dave Schneider,
    USGS)
  • NOAA, USGS interested in real-time monitoring
    capabilities for the Alaska Volcano Observatory
    for FAA/commercial aviation customers
  • Clouds, fog (Jeff Key, Paul Menzel, NESDIS
    Holger Pedersen, UCPH)
  • Several cloud products planned by CIMSS
  • Temporal resolution enables e.g. contrail/cirrus
    studies

20
Additional science applications (II)
  • Polar weather (Gary Hufford, NOAA Oreste Reale,
    UMBC/GSFC)
  • Operational monitoring of high-latitude weather
  • Development and life cycle of e.g. polar lows
  • Snow-cover and albedo monitoring (Jarkko
    Koskinen, FMI)
  • Will benefit from temporal resolution primarily
    due to higher probability of clear-sky images
  • Regional water quality (Jouni Pulliainen / HUT)
  • Dynamic phytoplankton and suspended solids
    mapping in the Baltic Sea
  • Surface radiation balance and SVAT models (Henrik
    Soegaard, UCPH)
  • Temporal resolution enables incorporation of the
    diurnal cycle in land-surface temperature,
    variability of aerosol loading and humidity in
    SVAT (Soil Vegetation Atmosphere Transfer) models

21
Mission level requirements
  • High temporal (15 minutes) and spatial (1 km VIS,
    2 km IR) resolution imagery for all areas N of 60
    degrees N for multitemporal applications and
    derived products
  • Full-disc view every 15 minutes within 60 of
    apogee
  • Special events rapid-scan capability 1000 x 1000
    km in one minute
  • Nominal 3-year mission duration
  • Nominal end of life for MODIS is 2008 no water
    water channel on VIIRS until 2015 (earliest
    possible date) 2010 launch strongly desirable
  • Real-time operational dissemination of images
    and derived products

22
Mission implementation studies
  • Overall mission design based on series of
    concurrent engineering studies by the Integrated
    Design Capability at Goddard
  • Key IDC results
  • Mission is technically feasible and classified as
    low risk
  • Total costs of three-year mission 275M (with
    30 margin)
  • Space segment
  • Instrument vendor selected (Partnership
    Opportunity Document)
  • S/C proposals from four vendors currently under
    evaluation
  • Ground segment
  • NESDIS is helping to draft plans for data
    processing chain and has indicated possibility of
    ground support (Fairbanks station)
  • Finland has committed in principle to ground
    support (Sodankyla station data processing)

23
MOI Spacecraft (IMDC flight configuration)
Instrument Scan Control
Instrument Cooler Control
Instrument Sensor Module
Instrument Main Electronics
24
Molniya Orbit Imager status
  • Mature baseline mission concept
  • Extensive pre-Phase A study work funded by
    Goddard, supplemented with a strong industry
    participation
  • Total cost of 3-year mission 275M
  • Goddard Technical Management Review (Office of
    Mission Success), 07/2005 This is
    essentially PDR level
  • Mission proposal targeted for anticipated NASA
    Earth System Science Pathfinder (ESSP)
    Announcement of Opportunity
  • Expected cost cap 240M
  • Other funding scenarios remain under exploration
  • We are working on developing partnerships
  • Some of these could substantially change the
    mission architecture

25
Strong, broad-based community support
  • WMO recommendation
  • Operational satellite agencies are encouraged to
    investigate possibilities for ensuring a
    follow-on to the high-latitude winds from MODIS
    with improved timeliness
  • Louis Uccellini, Director of NOAA/NCEP
  • there is no question that the scientific
    rationale behind the Molniya mission is rock
    solid
  • Greg Withee, NESDIS AA
  • NESDIS is there now we need to get the rest of
    NOAA onboard
  • US Navy, NPOESS IPO, ECMWF, national weather
    services in a number of countries (e.g. Canada,
    UK, Germany, Netherlands, Nordic countries) are
    behind this
  • Molniya Orbit Imager will be on the agenda at
    next EUMETSAT Council meeting initial thrust
    coming primarily from Finland and from ECMWF
  • Molniya participation as Optional Program
  • Polar Satellite Applications Facility (SAF)
    ground station, data processing and dissemination

26
Prospective partners/Cost reduction strategies
  • National science partners
  • NOAA/NESDIS ground support, data processing,
    instrument
  • DoD (USAF, NRL/FNMOC) endorsement
  • International science partners
  • EUMETSAT ground support
  • Finland (TEKES, FMI) ground support, space
    segment, launch
  • CSA under discussion, supported by MSC
  • Partners of opportunity
  • University of Calgary/FMI secondary scientific
    payload UV Aurora imager

27
Summary
  • Geostationary-class imager in a Molniya orbit can
    provide time-continuous water vapor and cloud
    imagery and derived products (e.g. winds) all the
    way to the pole
  • Scientific heritage GOES, MODIS
  • Low risk approach New science enabled by
    deploying flight-proven technology at a new
    vantage point
  • Solid baseline mission concept developed
  • Various partnership opportunities still under
    exploration this could impact the overall
    mission architecture

28
Why NASA?
  • ESE focus on societal benefits improvement in
    weather forecasting is a high-priority objective
  • Wide range of science data from a new vantage
    point
  • The Molniya Orbit Imager is a pathfinder for a
    potential new operational observing system
  • Only NASA can do the engineering and algorithm
    development required for demonstrating to the
    operational agencies that this will work
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