OMI Meeting KNMI June 2006 OMI groundpixels Bert van den Oord.

Slides:



Advertisements
Similar presentations
OMI ST meeting June 2008 Calibration & 0-1b data processing Marcel Dobber (KNMI)
Advertisements

M3 Instrument Design and Expected Performance Robert O. Green 12 May 2005.
Navigation Fundamentals
XRD Line Broadening With effects on Selected Area Diffraction (SAD) Patterns in a TEM MATERIALS SCIENCE &ENGINEERING Anandh Subramaniam & Kantesh Balani.
Air Shower Simulations for ANITA K. Belov UCLA. Goals Approach Estimate the energy of the UHECRs detected by ANITA using MC simulations Use well known.
Some Basic Concepts of Remote Sensing
Reflection of light.. Specula Reflection. Reflection from a mirrored or glossy surface Specula Reflection.
Orbits and Sensors Multispectral Sensors
Satellite orbits.
Status report on Light Simulator Claudia Cecchi Francesca Marcucci Monica Pepe Software meeting Udine January
Map Projections (2/2) Francisco Olivera, Ph.D., P.E. Center for Research in Water Resources University of Texas at Austin.
Graphs of Trig Functions
1 Determination of 3D CME Trajectories using Stereoscopy Paulett Liewer, Jeff Hall, Eric DeJong, JPL Vahab Pournaghsband, UCB Arnaud Thernisien and Russ.
Characterization of Orbiting Wide-angle Light-collectors (OWL) By: Rasha Usama Abbasi.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
Cylindrical and Spherical Coordinates Representation and Conversions.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods Chapter 4 Image Enhancement in the Frequency Domain Chapter.
Integration in polar coordinates involves finding not the area underneath a curve but, rather, the area of a sector bounded by a curve. Consider the region.
Spaceborne Weather Radar
11: Wave Phenomena 11.5 Polarisation. Polarisation When a charged particle loses energy, a tiny disturbance or ripple in the surrounding electromagnetic.
1 Geodesy for Neutrino Physicists by Wes Smart, Fermilab Based on: “GPS Satellite Surveying” By Alfred Leick, Wiley (1990 ) Geodesy : a branch of applied.
Geodesy, Map Projections and Coordinate Systems
Chapter 4 Linear Wire Antennas ECE 5318/6352 Antenna Engineering
POLAR COORDINATES (Ch )
10.4A Polar Equations Rectangular: P (x, y) Polar: P (r,  )  r = radius (distance from origin)   = angle (radians)
EISCAT Radar Summer School 15th-26th August 2005 Kiruna
Geodesy and Map Projections Geodesy - the shape of the earth and definition of earth datums Map Projection - the transformation of a curved earth to a.
Polar Topographic Knowledge Prior to LCROSS Impact David E. Smith 1, Maria T. Zuber 2 1 NASA/Goddard Space Flight Center 2 Massachusetts Institute of Technology.
CSE 681 Review: Transformations. CSE 681 Transformations Modeling transformations build complex models by positioning (transforming) simple components.
Unit 5: Geometric Transformations.
In mathematics, a transformation
OMEGA GROUND CALIBRATION B. Gondet,Saint Louis, 21/05/2008.
7 th SMOS Workshop, Frascati, October /17 AMIRAS campaign Fernando Martin-Porqueras.
Steve Sterley. Real World Lighting Physical objects tend to interact with light in three ways: Absorption (black body) Reflection (mirror) Transmission.
CDE CDR, September 14, 2004 Your Position, Your Name 1 GATS AIM Science Team Meeting January 23-24, 2007 CIPS Calibration Review, Aimee Merkel, Bill McClintock.
Slide Radian Measure and the Unit Circle. Slide Radian Measure 3.2 Applications of Radian Measure 3.3 The Unit Circle and Circular Functions.
Coordinate Systems and Projections. Geodesy, Map Projections and Coordinate Systems Geodesy - the shape of the earth and definition of earth datums Map.
2011 IEEE International Geoscience And Remote Sensing Symposium IGARSS’11  July 24-29, 2011  Vancouver, C ANADA A synergy between SMOS & AQUARIUS: resampling.
Sight and Waves Part 2 Problem Solving Mr. Klapholz Shaker Heights High School.
Illumination and Shading
Copyright © Cengage Learning. All rights reserved. 16 Vector Calculus.
Simulations Report E. García, UIC. Run 1 Geometry Radiator (water) 1cm x 2cm x 2cm with optical properties Sensitive Volume (hit collector) acrylic (with.
OMI ST meeting June 2006 Calibration & 0-1b data processing Marcel Dobber (KNMI)
IMF derivation from Pickup Ions observed by ASPERA UT UT UT M. Yamauchi B ion ion motion in.
Triple Integrals in Spherical Coordinates. What do you remember about Spherical Coordinates?
12/12/01Fall AGU Vertical Reference Frames for Sea Level Monitoring Thomas Herring Department of Earth, Atmosphere and Planetary Sciences
1 A conical scan type spaceborne precipitation radar K. Okamoto 1),S. Shige 2), T. Manabe 3) 1: Tottori University of Environmental Studies, 2: Kyoto University.
Sin x = Solve for 0° ≤ x ≤ 720°
Earth-Sun Relationships The Reasons for the Seasons.
S p. 702: 1-19 odd, odd, odd. Rectangular (Cartesian) coordinates plot a point by moving left/right and up/down (making a rectangle)  Polar.
Learning from the Past, Looking to the Future James R. (Jim) Beaty, PhD - NASA Langley Research Center Vehicle Analysis Branch, Systems Analysis & Concepts.
SOLAR PANELS SELECTION IN BUILDING USING CITYGML FOR ENVIRONMENT PLANNING By A.Subathra.
OMI ST meeting June 2006 Calibration working group.
Lecture Notes on Astrometry Space Newtonian Viewpoint Spatial Coord. System = Reference Frame Inertial Reference Frame Spatial Coord. Transformation.
: Chapter 13: Finding Basic Shapes 1 Montri Karnjanadecha ac.th/~montri Image Processing.
Translations, Reflections, and Rotations. Vocabulary Transformation- changes the position or orientation of a figure. Image- the resulting figure after.
Geodesy, Map Projections and Coordinate Systems Geodesy - the shape of the earth and definition of earth datums Map Projection - the transformation of.
Orbits and Sensors Multispectral Sensors. Satellite Orbits Orbital parameters can be tuned to produce particular, useful orbits Geostationary Sun synchronous.
HSAF Soil Moisture Training
Astronomical Spectroscopic Techniques
GEOGRAPHIC INFORMATION SYSTEMS & RS INTERVIEW QUESTIONS ANSWERS
VIRTIS Operations at Lutetia
AIRS (Atmospheric Infrared Sounder) Instrument Characteristics
OMEGA GROUND CALIBRATION
Orbit in Space Coordinate Frames and Time
Changchun Institute of Optics Fine Mechanics and Physics
The scattering centre becomes a secondary source of radiation
Presentation Overview
MERIS Level 1b processing Ludovic Bourg
Presentation transcript:

OMI Meeting KNMI June 2006 OMI groundpixels Bert van den Oord

OMI Team Meeting, KNMI, June 2006 Slide 2 Bert van den Oord, KNMI Contents OMI (Development Model) telescope IFOV Effect of the polarisation scrambler IFOV: summary Centre locations ground pixels Recipe for calculating response function

OMI Team Meeting, KNMI, June 2006 Slide 3 Bert van den Oord, KNMI DM Telescope FOV (1) Stray light tail Beam off secondary mirror 0.78 o OMI-DM with dummy scrambler

OMI Team Meeting, KNMI, June 2006 Slide 4 Bert van den Oord, KNMI DM Telescope FOV (2) Scrambler broadens FOV

OMI Team Meeting, KNMI, June 2006 Slide 5 Bert van den Oord, KNMI Effect of scrambler Unpolarised ray incident on scrambler is split in four rays. OMI CCD pixel measures signal from 4 footprints that are located at corners of parallelogram. Weight from releative contributions depends on polarisation state incoming radiation (s-p). Sum of four contributions gives intrinsic FOV (IFOV).

OMI Team Meeting, KNMI, June 2006 Slide 6 Bert van den Oord, KNMI Scrambler: Wybertje/Diamond effect deg 0.34 deg Slit orientation S-polarised P-polarised The angular deviations of the beams in the flight direction are  0.34 ◦ and  ◦. Flight direction

OMI Team Meeting, KNMI, June 2006 Slide 7 Bert van den Oord, KNMI IFOV: contribution of 4 rays Scrambler increases IFOV from 0.78 ◦ to 0.98 ◦

OMI Team Meeting, KNMI, June 2006 Slide 8 Bert van den Oord, KNMI IFOV: summary IFOV FWHM & centre determined by polarization state incident radiation. Weighted contributions from 4 locations. Resulting telescope IFOV:  Flat-topped Gaussian with FWHM about 0.98 ◦ (variations along swath).  Exponential stray light tails up to about  2 ◦ in flight direction.  Beyond  2 ◦ beam moves off secondary mirror: signal drop Calculations show that for global ground pixel percentage out- of-FOV radiation varies between 16.8% and 31.3% depending on swath angle.

OMI Team Meeting, KNMI, June 2006 Slide 9 Bert van den Oord, KNMI Centre locations ground pixels For each CCD pixel the LOS has been determined in OMI coordinate system (azimuth, elevation). These are stored in Operational Parameter File (OPF). GDPS: 1. Averages CCD pixel-line-of-sights per ground pixel (both in swath and wavelength direction). 2. Applies coordinate transform OMI-to-S/C reference frame that includes OMI-S/C alignment information. 3. This gives LOS in S/C reference frame. 4. Toolkit used for geolocation calculation.

OMI Team Meeting, KNMI, June 2006 Slide 10 Bert van den Oord, KNMI Centre locations ground pixels Rotation around x-axis: azimuth Rotation around y-axis: elevation

OMI Team Meeting, KNMI, June 2006 Slide 11 Bert van den Oord, KNMI Simple model for centres ground pixels Parameterization azimuth & elevation per CCD row (from OPF):

OMI Team Meeting, KNMI, June 2006 Slide 12 Bert van den Oord, KNMI Simple model: CCD readout CCD row range ModeBinningUV2 & VISUV1 Global – 408 Spatial

OMI Team Meeting, KNMI, June 2006 Slide 13 Bert van den Oord, KNMI Flat Earth differences = angle x 705 km Azimuth differences Elevation differences

OMI Team Meeting, KNMI, June 2006 Slide 14 Bert van den Oord, KNMI Recipe for OMI response function 1. Telescope response function (IFOV) in elevation direction (flat-topped Gaussian) has been measured at fixed azimuth angles. 2. Determine curves of constant azimuth on Earth surface during 2 second exposure. 3. Convolve IFOV (flat-topped Gaussian) along curves of constant azimuth to determine the Effective Response Function. 4. Set your own criterion for ground pixel size (FWHM, e- folding, 99% light, 90 % light,…….) 5. Note that for fixed point on Earth surface both elevation and azimuth change during integration!

OMI Team Meeting, KNMI, June 2006 Slide 15 Bert van den Oord, KNMI Some suggestions X Y Z Z’ X’ Y’ -Ω-Ω Place Earth at origin and transform to X’Y’Z’ frame.

OMI Team Meeting, KNMI, June 2006 Slide 16 Bert van den Oord, KNMI Some suggestions In XYZ frame:  OMI (RH cosΩ, 0, -RH sinΩ)  Point on Earth surface (A,B,C) In X’Y’Z’ frame:  OMI (RH, 0, 0)  Point on Earth surface (A’,B’,C’) (RH/R)tan az + tan az sinΩ cosθ – tan az cosΩ sinθ cosφ = sinθ sinφ Write: A=R cosφ sinθ B=R sinφ sinθ C=R cosθ RH=orbit radius R=Earth radius Ω=orbit phase

OMI Team Meeting, KNMI, June 2006 Slide 17 Bert van den Oord, KNMI Some suggestions R = 6371 km RH=7076 km Orbit phase: 0≤Ω≤2π Latitude: 0≤θ≤π Longitude: 0≤φ≤2π Swath: -56 ◦ ≤az≤ 56 ◦ (RH/R)tan az + tan az sinΩ cosθ – tan az cosΩ sinθ cosφ = sinθ sinφ Ω+δΩ Ω δΩ= rad