Sensitivity of Orbit Predictions to Density Variability

Slides:



Advertisements
Similar presentations
Arctic Ocean Tides from GRACE Satellite Accelerations Bryan Killett University of Colorado and CIRES, Boulder, CO, USA TexPoint fonts used in EMF. Read.
Advertisements

Using GRACE Satellite Acceleration Data to Recover Arctic Ocean Tides Bryan Killett 1, John Wahr 1, Shailen D. Desai 2, Dah-Ning Yuan 2, Mike Watkins 2,
A.S. 3.8 INTERNAL 4 CREDITS Time Series. Time Series Overview Investigate Time Series Data A.S. 3.8 AS91580 Achieve Students need to tell the story of.
ISSUES IN PREDICTING SOLITARY WAVES IN STRAITS OF MESSINA AND LUZON A. Warn-Varnas, P. Smolarkiewicz, J. Hawkins, S. Piacsek, S. Chin-Bing, D. King and.
© Copyright 2001, Alan Marshall1 Regression Analysis Time Series Analysis.
1 Effects of solar activity, co-rotating interaction regions, and climate change on thermospheric density during the solar cycle 23/24 minimum Stan Solomon.
MURI,2008 Electric Field Variability and Impact on the Thermosphere Yue Deng 1,2, Astrid Maute 1, Arthur D. Richmond 1 and Ray G. Roble 1 1.HAO National.
Preliminary SWOT Orbit Design Study R. Steven Nerem, Ryan Woolley, George Born, James Choe Colorado Center for Astrodynamics Research, University of Colorado.
Astronomical Institute University of Bern 64 th International Astronautical Congress September 2013, Beijing, China Assessment of possible observation.
The role of the mean flow and gravity wave forcing in the observed seasonal variability of the migrating diurnal tide. David A. Ortland NorthWest Research.
4-5 graphs of sine and cosine functions
3.11 Adaptive Data Assimilation to Include Spatially Variable Observation Error Statistics Rod Frehlich University of Colorado, Boulder and RAL/NCAR Funded.
METO 621 CHEM Lesson 7. Albedo 200 – 400 nm Solar Backscatter Ultraviolet (SBUV) The previous slide shows the albedo of the earth viewed from the nadir.
Tidal Modulation of Stick-Slip Ice Stream Motion
Altitude Response of Thermosphere Mass Density to Geomagnetic Activity in the Recent Solar Minimum Jeffrey P. Thayer, Xianjing Lui, and Jiuhou Lei MURI.
The Averaging Kernel of CO2 Column Measurements by the Orbiting Carbon Observatory (OCO), Its Use in Inverse Modeling, and Comparisons to AIRS, SCIAMACHY,
Surface Variation and Mating Surface Rotational Error in Assemblies Taylor Anderson UGS June 15, 2001.
HiRes Usage. Outline ● Shower energy ( Size, dE/dx ) ● Atmospheric profile ( stdz76, radiosonde) ● Rayleigh Scattering ● Aerosols Model ( density, variability.
Neutral Density During the Recent Solar Minimum Contributions from Solar, Geomagnetic Activity, and Anthropogenic Rodney Viereck NOAA Space Weather Prediction.
Phase Shifts of Sinusoidal Graphs. We will graph sine functions of the following form: The amplitude A =  A  The period T = 22  The phase shift comes.
Time Series Report - Basic 1.Introduction 2.Long term trend 3.Seasonal Component 4.Residual Component 5.Predictions 6.Conclusion (Refer to “Stats enquiry.
Theoretical Simulations of the Martian Ionosphere and Comparisons to Observations (How do thermospheric tides and variations in solar flux affect ionospheric.
Wave Coupling Between the Lower Atmosphere and Thermosphere: Solar Cycle Influences 1 Jeffrey M. Forbes 1, Sean L. Bruinsma 2, Maura E. Hagan 3, and Xiaoli.
SMOOTHING TECHNIQUES TIME SERIES. COMPONENTS OF A TIME SERIES Components of a time series Seasonal effect Long term trend Cyclical effect Irregularity,
Pg 1 of xx AGI Orbit Lifetime Prediction Jim Woodburn.
Oceanography 569 Oceanographic Data Analysis Laboratory Kathie Kelly Applied Physics Laboratory 515 Ben Hall IR Bldg class web site: faculty.washington.edu/kellyapl/classes/ocean569_.
Colorado Center for Astrodynamics Research The University of Colorado 1 STATISTICAL ORBIT DETERMINATION Satellite Tracking Example of SNC and DMC ASEN.
Modern Navigation Thomas Herring MW 11:00-12:30 Room A
Wolf-Gerrit Früh Christina Skittides With support from SgurrEnergy Preliminary assessment of wind climate fluctuations and use of Dynamical Systems Theory.
The kinematic representation of seismic source. The double-couple solution double-couple solution in an infinite, homogeneous isotropic medium. Radiation.
Lecture 7 – More Gravity and GPS Processing GISC February 2009.
Photoelectrons as a tool to evaluate Solar EUV and XUV model irradiance spectra on Solar rotation time scales W.K. Peterson 1, T.N. Woods 1, J.M. Fontenla.
Jeff Forbes (CU), Xiaoli Zhang (CU), Sean Bruinsma (CNES), Jens Oberheide (Clemson U), Jason Leonard (CU) 1 Coupling to the Lower Atmosphere, an Observation-Based.
The General. What happens to the graph of a sine function if we put a coefficient on the x. y = sin 2x y = sin x It makes the graph "cycle" twice as fast.
A fine vertical wave structure & its relation with trace gas transport ATTREX/CONTRAST/CAST Science Team Meeting, Oct, 2014 Ji-Eun Kim University of Colorado,
Schematic diagram of the convective system life cycle size evolution Lifetime=  (A e Initiation ) Mass flux or condensation process in the initiation.
An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the.
Progress in Geoid Modeling from Satellite Missions
Diurnal Water and Energy Cycles over the Continental United States from three Reanalyses Alex Ruane John Roads Scripps Institution of Oceanography / UCSD.
University of Colorado Boulder ASEN 5070 Statistical Orbit Determination I Fall 2012 Professor Jeffrey S. Parker Professor George H. Born Lecture 23: Process.
1 A formulation for the long-term evolution of EMRIs with linear order conservative self-force Takahiro Tanaka (Kyoto university) Gravitational waves in.
Implications of Errors in Density Response Time Delay on Satellite Prediction Error Rodney L. Anderson and Christian P. Guignet October 28, 2010, NADIR.
12/12/01Fall AGU Vertical Reference Frames for Sea Level Monitoring Thomas Herring Department of Earth, Atmosphere and Planetary Sciences
Thermospheric density variations due to space weather Tiera Laitinen, Juho Iipponen, Ilja Honkonen, Max van de Kamp, Ari Viljanen, Pekka Janhunen Finnish.
Using the Mars climate Database for aerobraking ( km)
Atmosphere-Ionosphere Wave Coupling as Revealed in Swarm Plasma Densities and Drifts Jeffrey M. Forbes Department of Aerospace Engineering Sciences, University.
Periodic Functions by: Doris Santarone.
NANOGrav Long-term timing of two faint millisecond pulsars at Arecibo
S.Alessandrini, S.Sperati, G.Decimi,
Electromagnetic Waves (cont.)
The Moon.
Ionospheric Effect on the GNSS Radio Occultation Climate Data Record
Projects: Background, Design, Study Population, Exposure & Outcome Presentations start Continue on and
Unit #6: Graphs and Inverses of Trig Functions
Graphs of Trigonometric Functions
Trigonometric Functions
Assimilation of Global Positioning System Radio Occultation Observations Using an Ensemble Filter in Atmospheric Prediction Models Hui Liu, Jefferey Anderson,
Edward I. Tollerud1, Brian D. Jamison2, Fernando Caracena1, Steven E
4.4 Graphs of Sine and Cosine Functions
Ling Wang and M. Joan Alexander
Long Term Variability Of Vela X-1 with RXTE/ASm
Drawing Trigonometric Graphs.
Tidal Signatures in the Extended Canadian Middle Atmosphere Model
Measurement and Prediction of Dynamic Density
Graphing: Sine and Cosine
Section 5.5 Graphs of Sine and Cosine Functions
Measurements of lifetimes of high-l solar p-modes in sunspots
The Mars Pathfinder Atmospheric Structure Investigation/Meteorology (ASI/MET) Experiment by J. T. Schofield, J. R. Barnes, D. Crisp, R. M. Haberle, S.
7.3 Periodic Graphs & Amplitude Objectives:
Section 4.5 Graphs of Sine and Cosine
Presentation transcript:

Sensitivity of Orbit Predictions to Density Variability Rodney L. Anderson George H. Born Jeffrey M. Forbes Oct. 21-22, 2008 MURI Meeting (Boulder, CO)

Where should modeling efforts focus to improve orbit prediction? Horizontal density scales Type (shape) of density variations Magnitude of density Phase errors (errors in timing) Significant Prediction Errors (over 24 hours) Oct. 21-22, 2008 Boulder, Colorado

Method Integrate two trajectories from same I.C.s in 2-Body Problem One with “Truth” density profile One with alternate Compare position (RIC) diff. after t All results are for the CHAMP S/C Oct. 21-22, 2008 Boulder, Colorado

Prediction Differences using CHAMP & Model Data (2003) Total Difference In-track Difference Oct. 21-22, 2008 Boulder, Colorado

Isolate Effect of Different Horizontal Density Scales Determine component of orbit prediction & model error caused by different horizontal density scales Determine error introduced by missing a single wavelength (scale) Integrate one trajectory with nominal density Integrate one trajectory with density perturbation function (25% amplitude) Does the type of function matter? Which scales are most important? Oct. 21-22, 2008 Boulder, Colorado

Sine Wave (1 cycle) Position Difference Density over Time Oct. 21-22, 2008 Boulder, Colorado

Functions Give Similar Results (1 Cycle Cases) Diff.max  1.3 m Diff.max  1.4 m Diff.max  1.55 m Oct. 21-22, 2008 Boulder, Colorado

One, Two & Three Day Integration Times Diff.max  3 m Diff.max  6 m Diff.max  9 m In-track Differences 24 hours 48 hours 72 hours Orbit differences with 10,000 km wavelength increase by about 3 m per day (CHAMP S/C) Oct. 21-22, 2008 Boulder, Colorado

Predictions with Measured vs. Smoothed CHAMP Data What happens if multiple wavelengths are ignored? Use smoothing or averaging over different time intervals Raw data 6 minute averaging 30 minute averaging Reduces power of shorter wavelengths Oct. 21-22, 2008 Boulder, Colorado

Smoothed Data (30 min. Interval) (Day 324 of 2003) Oct. 21-22, 2008 Boulder, Colorado

Comparison over 2003 (24 hour, 6 minute case) Differences are primarily in the in-track direction Mean = 0.63 m Max. = 10.7 m Min. = 0.019 m Oct. 21-22, 2008 Boulder, Colorado

Comparison over 2003 (24 hour, 30 minute case) Mean = 6.21 m Max. = 56.21 m Min. = 0.24 m Oct. 21-22, 2008 Boulder, Colorado

Histogram 30 minute average 2003 2007 Oct. 21-22, 2008 Boulder, Colorado

Conclusions Single wavelength perturbations can give meter level errors Neglecting density scales below 1000 km gives meter level errors (for CHAMP) 8000 km gives errors on the order of 10s of meters (for CHAMP) Errors small but significant enough to take into account in models Oct. 21-22, 2008 Boulder, Colorado

Current Status Examining contribution of different components to error Additional altitudes Eccentric orbits Perturbations that die off Different density altitudes In-phase and out-of-phase perturbations Time delay (phase) issues Implementing density models in GIPSY-OASIS Including additional satellites Oct. 21-22, 2008 Boulder, Colorado