CYGNSS Mission Overview and Level 1 DDM Calibration Chris Ruf E‐GEM Workshop, Quebec City, 19 July 2014 Outline • • • • • • Mission Overview Observatory Hardware Constellation Deployment and Dispersion Spatial and Temporal Sampling Level 1 Calibration of Delay‐Doppler Maps Schedule Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 2 2 CYGNSS Mission Overview • The Cyclone Global Navigation Satellite System (CYGNSS) is the NASA Earth Venture Mission selected in June 2012 • The driving science objective is rapid sampling of ocean surface winds in the inner core of tropical cyclones • CYGNSS Mission Design – Eight small satellites in low earth orbit at 35o inclination, each carrying radar receivers capable of four simultaneous bi‐static scatterometer measurements of GPS signals scattered from the ocean surface Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 3 3 CYGNSS Observatory and Key Components Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 4 4 CYGNSS Flight Segment Characteristics 8 Observatories – Size and shape driven by 2 nadir science ant and 100% science duty cycle – Mass: 25.5kg (each) – Power: 34.4W avg load – Attitude control: 3‐axis nadir – Comm: 4Mbps S‐band Launch Vehicle and Deployment Module – Single LV, GFE – Altitude: 500km – Inclination: 35deg – LV: Pegasus – Launch: Oct 2016 – Operations: 2+ years Volume – 51x59x24cm (stowed) – 51x159x24cm (deployed) Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 5 5 Day 27 after deployment Spatial Coverage in 24 hr Period Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 6 6 CYGNSS Spatial Sampling Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 7 7 CYGNSS Temporal Sampling • • • • • Temporal sampling is not deterministic due to asynchronous CYGNSS and GPS orbits Model revisit time as a random variable with empirical probability density function (PDF) derived from Monte Carlo simulations Revisit time PDF shown at right Median revisit time = 2.8 hr Mean revisit time = 5.9 hr Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 8 8 End‐to‐End Simulator Example of CYGNSS Spatial and Temporal Coverage 13-day Nature Run Storm Center Track Nolan, D. S., R. Atlas, K. T. Bhatia, and L. R. Bucci, 2013: Development and validation of a hurricane nature run using the Joint OSSE Nature Run and the WRF model. J. Adv. Earth. Model. Syst., 5 , 1‐24. Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 9 9 CYGNSS Sampling of Nature Run Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 10 10 Level 1 Calibration of DDMs (Scott Gleason, CYGNSS Instrument Scientist) Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 11 11 Data Level Definitions • Level 0, Raw DDMs telemetered to ground • Level 1, Calibrated DDMs – L1A, DDM received power in each delay,Doppler bin (watts) – L1B, DDM bi‐static scattering cross section, in each delay,Doppler bin m2) • Level 2, Geophysical products in instrument sampling time,space coordinates – Ocean surface wind speed, 25 km averaged, 10 m referenced (Clarizia) – Mean squared slope, 25 km averaged (Zavorotny) • Level 3, various re‐gridded, variable spatial res, inputs other than L1B product, … (Atlas, Majumdar, Garrison, Katzberg, Johnson, …) Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 12 12 Level 1a Calibration ● ● Convert Raw DDM (in counts) to Received Power DDM (in Watts) Compressed Science DDM’s consist of smaller area (5 KHz x 4 chips, 11 x 17 samples) near the specular reflection point DDM in Watts (Level 1a) DDM in Counts (Level 0) Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 13 13 Open Ocean DDM L1a Algorithm ● Routine 1Hz L1a signal power DDM (in Watts) can be expressed as, Level 0 DDM Noise Floor Black Body DDM Black Body Power Instrument Noise Power Black Body Counts ● ● ● CN estimated from each DDM, at delays where no signal is present Pr is estimated using temperature‐ dependent LUT, updated using Open Ocean calibration PB and CB estimated from Black Body noise‐only DDM Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 14 Noise Samples 128 Delay Samples 20 Doppler Bins 14 Level 1b Calibration ● Convert L1a DDMs (in Watts) to DDMs in units of bi‐static scattering cross section by unwrapping the radar range equation [e.g. Zavorotny and Voronovich, 2000] 2 (Level 1b) DDM in meter DDM in Watts DDM in Watts (Level 1a) DDM in Counts Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 15 15 Expression for L1b Product ● Obtained by solving the L1a signal power equation for the effective bistatic cross section Ranges L1a GPS Tx Power Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 16 GPS Tx Rx Gain Gain 16 From L1a to L1b Observables The plot shows L1a and L1b DDMA for a Range Corrected Gain (RCG) > 20*10-27 GRX RCG 2 2 RTX RRX Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 17 17 Level 1 Cal/Val with Ground Based Beacon • Beacon transmits a modulated L1 signal from the ground to a CYGNSS observatory • Transmit signal is phase‐ locked to direct GPS signal overhead • The Beacon will be used to verify the DDMI’s: – – – – Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 18 Signal power measurement Antenna pattern Prediction of location Noise measurement/Noise figure 18 Project Schedule Ruf, CYGNSS, E‐GEM Wkshp 19 Jul 2014 19 19
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