6/21/10 Ionospheric mitigation schemes and their consequences for BIOMASS product quality O. French & S. Quegan, University of Sheffield, UK J. Chen, Beihang.

Slides:



Advertisements
Similar presentations
Introduction to the Global Positioning System
Advertisements

Surface Water and Ocean Topography (SWOT) Satellite Mission
Modelling complexity in the upper atmosphere using GPS data Chris Budd, Cathryn Mitchell, Paul Spencer Bath Institute for Complex Systems, University of.
IK March 1st 2012 Slide 0 EMMA: Update on BPM modelling and mapping March 1 st 2012 Ian Kirkman.
ESWW 5 Some ionospheric effects on ground based radar Y. Béniguel, J.-P. Adam.
Colorado Center for Astrodynamics Research The University of Colorado ASEN 5070 OD Accuracy Assessment OD Overlap Example Effects of eliminating parameters.
Study of propagative and radiative behavior of printed dielectric structures using the finite difference time domain method (FDTD) Università “La Sapienza”,
Astronomical Institute University of Bern 64 th International Astronautical Congress September 2013, Beijing, China Assessment of possible observation.
Using a DPS as a Coherent Scatter HF Radar Lindsay Magnus Lee-Anne McKinnell Hermanus Magnetic Observatory Hermanus, South Africa.
The Challenges of Validating Global Assimilative Models of the Ionosphere L.F. M c Namara 1,C.R. Baker 2, G.J. Bishop 2, D.T. Decker 2, J.A. Welsh 2 1.
Department of Electrical and Computer Engineering Development of a Portable Work Zone Traffic Safety Information System using DSRC Based V2I and V2V Communication.
Space Weather influence on satellite based navigation and precise positioning R. Warnant, S. Lejeune, M. Bavier Royal Observatory of Belgium Avenue Circulaire,
GLOBAL POSITIONING SYSTEM FOR ENVIRONMENTAL MANAGEMENT.
GTECH 201 Session 08 GPS.
Digimap Carto is an advanced version of classic but with many more options. You need to return to the Digimap home page and this time select the “Digimap.
Direction - Conférence 1. Latest developments in MEO radiation belt Models D.Lazaro, A.Sicard-Piet, S.Bourdarie ONERA/DESP, Toulouse, France Session 2:
Per R. Bodin Global Posision System GPS. Per R. Bodin Litt historie 1960: nasA & DoD are Interested in developing a satellite based position system with.
What is GPS and UTM and how do they work? K. Michalski.
PRESENTATION BASED ON GPS. Introduction To GPS Introduction To GPS.
World Renewable Energy Forum May 15-17, 2012 Dr. James Hall.
1 UNCLASSIFIED – FOUO – Not for Public Release Operational Space Environment Network Display (OpSEND) & the Scintillation Network Decision Aid Dr. Keith.
The Global Epidemic Simulator Wes Hinsley 1, Pavlo Minayev 1 Stephen Emmott 2, Neil Ferguson 1 1 MRC Centre for Outbreak Analysis and Modelling, Imperial.
Monday 13 th November GSY/050388/ © BAE SYSTEMS All Rights Reserved ESA Space Weather Applications Pilot Project Service Development.
GEOREFERENCING SYSTEMS
SVY 207: Lecture 4 GPS Description and Signal Structure
SU 4100 GEODETIC POSITIONING Instructor: Indra Wijayratne.
Improving the Representation of Fire Disturbance in Dynamic Vegetation Models by Assimilating Satellite Data E.Kantzas, S.Quegan & M.Lomas School of Maths.
Progress Meeting #27, April 2015, Barcelona SPAIN T3.2 Retrieval algorithm Estrella Olmedo BEC team SMOS Barcelona Expert Centre Pg. Marítim de la.
Ionospheric mitigation schemes and their consequences for BIOMASS product quality O. French & S. Quegan, University of Sheffield, UK J. Chen, Beihang University,
How Does GPS Work ?. Objectives To Describe: The 3 components of the Global Positioning System How position is obtaining from a radio timing signal Obtaining.
GPS(Global Positioning System) -An Introduction. What is the GPS? Orbiting navigational satellites Transmit position and time data Handheld receivers.
UTSA Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) G. S. Bust and G. Crowley UTSA S. Datta-Barua ASTRA.
10. Satellite Communication & Radar Sensors
Modern Navigation Thomas Herring
BASIC CONCEPTS OF GLOBAL POSITIONING SYSTEMS (GPS) Introduction to GPS Merritt College Marc Epstein, Instructor.
USE OF GPS FOR CROP AREA MEASUREMENT The CIRAD experience.
Ground-based ionospheric networks in Europe Ljiljana R. Cander.
Claudinei Rodrigues de Aguiar Federal University of Technology - Parana Paulo de Oliveira Camargo São Paulo State University.
P. Wielgosz and A. Krankowski IGS AC Workshop Miami Beach, June 2-6, 2008 University of Warmia and Mazury in Olsztyn, Poland
GSI Japan - 21st of June 1999 GPS-Positioning using Virtual Reference Stations - Theory, Analysis and Applications Herbert Landau Spectra Precision Terrasat.
Space platform and Orbits Introduction to Remote Sensing Instructor: Dr. Cheng-Chien LiuCheng-Chien Liu Department of Earth Sciences National Cheng Kung.
VARIABILITY OF TOTAL ELECTRON CONTENT AT EUROPEAN LATITUDES A. Krankowski(1), L. W. Baran(1), W. Kosek (2), I. I. Shagimuratov(3), M. Kalarus (2) (1) Institute.
The Mesoscale Ionospheric Simulation Testbed (MIST) Regional Data Assimilation Model Joseph Comberiate Michael Kelly Ethan Miller June 24, 2013.
Lecture 4: Global Positioning System (GPS)
AGBell -1- Build the A Train Constellation using STK Next we will use global information about the Earth to help define and understand how the A-Train.
SWOT Hydrology Workshop Ka-band Radar Scattering From Water and Layover Issues Delwyn Moller Ernesto Rodriguez Contributions from Daniel Esteban-Fernandez.
Study on the Impact of Combined Magnetic and Electric Field Analysis and of Ocean Circulation Effects on Swarm Mission Performance by S. Vennerstrom, E.
Formosat3/COSMIC Workshop, Taipei, Oct. 1-3, 2008 The Ionosphere as Signal and Noise in Radio Occultation Christian Rocken, Sergey Sokolovskiy, Bill Schreiner,
Electron density profile retrieval from RO data Xin’an Yue, Bill Schreiner  Abel inversion error of Ne  Data Assimilation test.
SATELLITE ORBITS The monitoring capabilities of the sensor are, to a large extent, governed by the parameters of the satellite orbit. Different types of.
0 7th ESWW, Bruges, Ionospheric Scintillations Propagation Model Y. Béniguel, J-P Adam IEEA, Courbevoie, France.
Biosimilar (Insulin) – Competitive Landscape and Market & Pipeline Analysis, 2016 DelveInsight’s, “Biosimilar (Insulin) – Competitive Landscape and Market. Request for sample of this research report:
Thermospheric density variations due to space weather Tiera Laitinen, Juho Iipponen, Ilja Honkonen, Max van de Kamp, Ari Viljanen, Pekka Janhunen Finnish.
Effects of January 2010 stratospheric sudden warming in the low-latitude ionosphere L. Goncharenko, A. Coster, W. Rideout, MIT Haystack Observatory, USA.
Project presentation - Significant parameters for satellite communication.
Interminimum Changes in Global Total Electron Content and Neutral Mass Density John Emmert, Sarah McDonald Space Science Division, Naval Research Lab Anthony.
Actions & Activities Report PP8 – Potsdam Institute for Climate Impact Research, Germany 2.1Compilation of Meteorological Observations, 2.2Analysis of.
Disturbance Dynamo Effects in the Low Latitude Ionosphere
How Things Work: Global Positioning System
Update on the GIRO Benchmark
ISRS2007, Lamada Plaza Hotel, Jeju, Korea, 31 October - 2 November 2007 Radargrammetry of High-Resolution Synthetic Aperture Radar A Theoretical Study.
Off-Road Equipment Management TSM 262: Spring 2016
Comparing NetCDF and a multidimensional array database on managing and querying large hydrologic datasets: a case study of SciDB– P5 Haicheng Liu.
Results and Discussions Data Used and Methodology
Next we will use global information about the Earth to help define and understand how the A-Train orbits the Earth.
Hoonyol Lee Department of Geophysics Kangwon National University
SSAEM Sensors Paul R Straus October 14, 2011.
A KU-BAND GEOSYNCHRONOUS SYNTHETIC APERTURE RADAR MISSION ANALYSIS WITH MEDIUM TRANSMITTED POWER AND MEDIUM-SIZED ANTENNA Josep Ruiz Rodon, Antoni Broquetas,
SP-UK-TRISTATIC Meso-scale ion-neutral coupling
HG contribution to the GRC and more
Presentation transcript:

6/21/10 Ionospheric mitigation schemes and their consequences for BIOMASS product quality O. French & S. Quegan, University of Sheffield, UK J. Chen, Beihang University, China ESA, Holland, 4th March 2010 Task 100: Database of Ionospheric Scenarios

6/21/10 Overview 1. Limitations of initial strategy 2. Modified strategy 3. Deliverables a. database; b. simulation codes; c. technical note 1; 4. Technical issues and scope of software 5. Further work 6. Effect of orbit local time upon ionospheric scintillation 7. Relation of TEC fluctuations to FR 8. Use of GPS TEC database

6/21/10 Limitations of Initial Strategy Original proposed approach was to generate database of ionospheric phase screens Limitations: a. Computationally onerous b. Large data storage requirements c. Inflexible d. Redundancy e. Can only be performed at UoS

6/21/10 Modified Strategy To generate a database of the WBMOD output To provide codes that can run simulations using the above database Advantages over previous methodology a. More flexible b. Reduced data storage requirements c. Time savings d. Reduced redundancy e. ESA can run on site

6/21/10 Deliverables: Database Database entries for the following scenarios: ParameterValues contained within databaseParameter type Satellite altitude (km)650 Satellite Antenna length (m)20.16Satellite Orital inclination (°)98Satellite Frequency (MHz)435Satellite Orbital node typedawn duskSatellite Look angle (°)+30 (night) -30 (day)Satellite Planetary index, Kp Ionosphere Ck confidence interval (%)99.0 Ionosphere Date inclusive at 10 day intervals Temporal Satellite latitude (°)-80 to 80 inclusiveSpatial Satellite longitude (°)-180 to 180 inclusive Spatial

6/21/10 Deliverables: Database Each entry comprises the WBMOD output for: a. Satellite locations between ±80°N at 1° resolution in latitude and longitude. b. Fixed equatorial local time throughout a single date c. A specific set of ionospheric and satellite parameters See Technical note 1 for full list and definitions of WBMOD parameters.

6/21/10 Ground Latitude Ground Longitude log10 {CkL} Global map for 99th percentile of log10 CkL Night-looking dawn node on 1/1/1995 and Kp = 1

6/21/10 Deliverables: Simulation codes Runs simulations of ionospheric phase screens for a particular scenario: a. Location b. Time c. Ionospheric conditions d. Orbit configuration Codes draw the WBMOD data required for a given simulation from the database. See Technical note 1 for full description of simulation codes and their operation.

6/21/10 Deliverables: Simulation codes Data outputs: 2D phase screens Range autocorrelation Azimuth autocorrelation 1D phase slices Point spread functions Metrics Statistics Phase screen geometry:

6/21/10 Deliverables: Simulation codes Ly (km) Lx (km) Phase deviation

6/21/10 Deliverables: Simulation codes Phase deviation (rad) Azimuth (km)Azimuth (m) Normalised PSF

6/21/10 Scope of codes Run Times On the University of Sheffield servers, 100 phase slice realisations for a given scenario takes approx. 30 minutes. This can vary depending on the number of 1D phase slices extracted from each Limitations Memory constrains maximum side length of square phase screen to be twice synthetic aperture

6/21/10 Further Work Simulation of 1D phase screen Length of simulation extended at expense of full 2D correlations (ongoing) Full study of 2D correlation 2D autocorrelation function given by Rino 1979 Can be calculated from WBMOD output Extent of decorrelation will dictate retrieval algorithms

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Locations covered: Boreal (BO): Sweden Temperate (TE): Austria Equatorial (EQ): Borneo

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Orbital parameters used: Altitude = 650km; Inclination = 98°; Look angle = 30° (night looking); Frequency = 435 MHz; Antenna length = 20.16m (Concept 2 of BIOMASS RfA). Ionospheric conditions: date = 21/6/2000, close to solar maximum; KP = 3 (electron precipitation boundary at 61.2°MagN); log10CkL percentile = 99%;

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Satellite node is defined by its local time (LT) as it passes the equator Orbital nodes considered: o Dawn ascending 05:00 06:00 07:00 o Dusk descending 17:00 18:00 19:00 Away from equator LT deviates from its equatorial value

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Local Time 18:0 0 06:0 0 Later

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Boreal location: Sweden (17°E, 65°N) High disruption for all nodes; CkL ≈ 1033 Little variation with orbit local time Ly (km) Lx (km) One-way phase deviation f Azimuth distance (m) Point spread function 06:00

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Equatorial location: Borneo (115°E, -2°N) Little disruption to PSF for all dawn nodes, and 17:00 and 18:00 nodes. CkL ≈ 1031 Ly (km) Lx (k m) One-way phase deviation Point spread function Azimuth distance (m) 18:00

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Equatorial location: Borneo (115°E, -2°N) Large disturbance for 19:00 node post-dusk region → high fluctuations, CkL ≈ 3.6 x 1035 Ly (km) Lx (km) One-way phase deviation Azimuth distance (m) Point spread function 19:00

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Equatorial location: Borneo (115°E, -2°N) Satellite is night looking – looking into the region of high ionospheric fluctuation Effect disappears for the 19:00 orbit when day looking configuration is used Looking away from region of high fluctuation Temperate location: Austria (12.5°E, 47°N) Little disruption for all nodes; CkL ≈ 1031 Little variation with orbit local time

Click to edit Master subtitle style 6/21/10 Effect of orbit local time Summary General trends as LT moves from night to day: Increase in mean TEC and FR; Decrease in ionospheric fluctuations (CkL). Post sunset equatorial zone: Pronounced increase in CkL for 19:00 night-looking node Can be avoided by using day-looking setup Boreal zone is a problem under all circumstances.

Click to edit Master subtitle style 6/21/10 TEC fluctutations & FR Phase fluctuation, φ (rad), is related to TEC (TECU) via and FR, Ω (rad) to TEC by [1] Therefore [1] Belcher, D.P. Theoretical limits on SAR imposed by the ionosphere, IET Radar Sonar Navig., 2, (2008)

Click to edit Master subtitle style 6/21/10 TEC fluctutations & FR For BIOMASS, f = 435 MHz and this reduces to and for Bm = 3.5 x 10-5 T Meaning that a phase fluctuation of at least 445° is required to achieve a fluctuation of 1° in FR. Is this beyond measurement capabilities?

Click to edit Master subtitle style 6/21/10 Use of GPS data Various sources of GPS TEC data: Centre for Orbital Determination in Europe (CODE) International IGSS Service (IGS) - includes CODE Longitude -180° to 180° E 5° resolution Latitude -87.5° to 87.5° N 2.5° resolution Time From 1992 onwards 2 hours resolution

Click to edit Master subtitle style 6/21/10 Use of GPS data Centre for Orbital Determination Europe (CODE) data Accuracy of ±3.5 TECU Thorough statistical analysis ongoing