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SWOT Jet Propulsion Laboratory California Institute of Technology SWOT Ground System IGARSS – August 2011 Helene Vadon (CNES, Toulouse) Phil Callahan (Jet Propulsion Lab, California Institute of Technology) http://swot.jpl.nasa.gov

SWOT Ground System IGARSS – August 2011

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http://swot.jpl.nasa.gov. SWOT Ground System IGARSS – August 2011 . Helene Vadon (CNES, Toulouse) Phil Callahan (Jet Propulsion Lab, California Institute of Technology) . SWOT Ground System Outline . Introduction SWOT mission Mission phases Ground segment overview - PowerPoint PPT Presentation

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Page 1: SWOT  Ground System IGARSS  –  August  2011

SWOTJet Propulsion Laboratory California Institute of Technology

SWOT Ground System

IGARSS – August 2011

Helene Vadon (CNES, Toulouse) Phil Callahan (Jet Propulsion Lab, California Institute of

Technology)

http://swot.jpl.nasa.gov

Page 2: SWOT  Ground System IGARSS  –  August  2011

SWOTJet Propulsion Laboratory California Institute of Technology

SWOT Ground System Outline

• Introduction– SWOT mission– Mission phases – Ground segment overview

• KaRIN Data Acquisition and Products– Acquisition characteristics– KaRIN processing – Data Products– Sizing estimates

• Joint Ground System Development – Commonality levels and approach for the processing development

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SWOT Mission

• Mission – Extraction of water surface heights over ocean and continental water

bodies– The principal instrument is KaRIN, a Ka-band interferometric SAR

system – Other instruments are a nadir altimeter, radiometer, and precision tracking

systems (classical Jason Altimeter suite)

• Main scientific requirements– Oceanography: Global coverage (< 78°) of oceans, sea surface height

precision < 2 cm at approximately 1 km resolution LR mode

– Hydrology: Global inventory of rivers > 100 m (50 m) and lakes > (250 m)2, water surface height precision of the order of 10 cm (averaged over 1 km2), slope precision 1 cm/km (averaged over 10 km); average posting 50 m HR mode

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Mission Phases

• Launch and Early Orbit Operations (~ 3 days) – Launch planned for late 2019

• Checkout / Commissioning (~ 30 - 45 days)

• Fast repeat orbit at 3 (or 1) days for ~90 (or 30) days – For ocean sub-mesoscale

• Calibration / Validation (Cal/Val) (3 – 6 months, covering Fast Repeat and Science Operations)

• Transition to Science Orbit, Operations (~ 15 days) – Non-sun-synchronous, 22 day exact repeat, 970 km altitude, 78 deg inclination

• Science Observations (Requirement = 3 years; starts ~4.5 months after launch)

• Disposal and Ground System Closeout (= 3 months)

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SWOT Ground System Challenges

• High precision for both ocean (1-2 cm) and hydrology (~10 cm) – Complete, accurate algorithms – Use of instrument and spacecraft calibration data – External corrections; Ancillary information

• Large Data Volume – both telemetry and data products – Raw data downlink for land data. Requires >~ 600 Mbps X-band

downlink – Data products posted at fine resolution: LR = 500 m, HR = 50 m (~100

giga-samples per cycle for LR+HR)

• Likely Near Real Time requirements – Ocean from Jason suite similar to Jason series – Hydrology (floods, reservoirs) from KaRIN

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Architecture Diagram

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CNES

CNES X-band Network(also has S-band Uplink)

Science Processing Archive & Distribution

CNES ElementsNASA ElementsJoint Elements

S/C Control Center (SCC) (Contractor)

CNES S-band Network

KaRIN Science Data

Data exchangeJPL

Science Data Processing

Science Data Center

To CNES: Ack. successful downlink Payload commands

Karin

Radiometer

Nadir AltimeterPayload module

X bandTM

S/C Bus

UPLINK: S/C & P/L Cmd. DOWNLINK: Jason Suite Sci Data (Nadir Alt, Rad, GPS) and All Eng Telem

TBD Additional X-band Sta

JPL Science Data Archiving

& Distribution

X-band Network Center

Payload Operations Center

JPL Payload

Operations Center

To JPL: X-band data, S-band Sci, s/c Telemetry, TBD[KaRIN Eng]

To JPL: Jason Suite L2. Cal/val. To CNES: KaRIN TBD[L1b]. POD. Cal/val.

Ancillary Data: Tropo model(s), Iono info, Tide

model(s), DEM, SSH

To JPL: X-band data, TBD[KaRIN Eng]

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Ground System Elements (1 of 2)

• Tracking Stations – CNES S-band stations: Downlink for Nadir Alt, Radiometer, DORIS,

GPS (“Jason Altimeter Suite”, JAS); Engineering. Uplink commanding

– X-band network (620 Mbps (nominal, min)): Downlink for high rate science (KaRIN), and associated Engineering data

• Front End Networks – Network from X-band Data Center(s) to JPL and CNES operation

centers. Minimum data rate to return all downlink within approximately 20 mins is >~ 300 Mbps (similar to downlink)

– Network from CNES to JPL for S-band science and engineering data

• Spacecraft Control Center (SCC, CNES/Contractor) – Real time monitoring of s/c and p/l via S-band housekeeping telemetry

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Ground System Elements (2 of 2)

• Payload Operations Centers (POC) – JPL: Near Real Time health monitoring of KaRIN, GPS, Radiometer.

Determine X-band data quality, need for replay.– CNES: Near Real Time health monitoring of Jason Altimeter Suite

• Science Processing Centers – JPL: Processing of KaRIN, POD – CNES: Jason Suite, POD

• Data Archiving and Distribution Centers – JPL: PODAAC – CNES: AVISO

• Project Data Distribution Networks – JPL-CNES link – Science Processing Centers to Archiving/Distribution Centers

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SWOT Ground System Outline

• Introduction– SWOT mission– Mission phases – Ground segment overview

• KaRIN Data Acquisition and Products– Acquisition characteristics– KaRIN processing – Data Products– Sizing estimates

• Joint Ground System Development – Commonality levels and approach for the processing development

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KaRIN Data Acquisition

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Vsat

KaRIN altimetry Resolution << Swath : (2.5m x 10m to 70m) << ~100km Almost full coverage

2.5 m70m max

20 km120 km

50km

50km

6 -10 km

Vsat

Classical Nadir Altimetry Resolution = Swath ( ~ 10km) Inter-track at equator ~ 100km

A few km

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KaRIN Processing Steps

• SAR processing (range and azimuth compression)

• Interferometric processing (co-registration, computation of interferometric phase and coherence)

• Application of acquisition geometry: geolocation, precise orbit determination, correction of roll, baseline variations

• Propagation corrections: tropospheric, ionospheric delay

• Interferogram flattening/correction, land phase unwrapping

• Estimation of geophysical parameters: water surface detection (HR only), computation of water surface heights, slopes etc.

• Establish/refine floodplain DEM (annually (goal) or mission)

• High-level and multi-temporal processing is a Science Team activity

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Data Products (1 of 4)

• Level 0 ( ~ 1 TB/day) – Ocean KaRIN: partial interferograms (Raw to partial interferograms

processing onboard)– Hydro KaRIN: raw data– Nadir altimeter and Radiometer data: instrument raw data– GPSP and DORIS data: POD raw data

• Level 1: Nadir Alt, Radiometer, KaRIN ( ~ 10-12 TB/day) – L1a: Engineering unit conversion, calibration data separated for

additional processing – L1b: Final instrument level data with calibrations appended

• Ocean: 9-11 onboard interferograms (1km x 1 km), correlations, amplitudes with instrument calibrations and phase variations corrected combined

• Hydro (HR): KaRIN phase flattened Interferograms• Altimeter, radiometer compliant with Jason-2 Science Data record

processing (SGDR)

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High Level Data Products (2 of 4)

• L2A– Ocean KaRIN : As L1B + Geophysical corrections. Nadir data

merged for cross calibration. – Ocean Crossover Attitude Correction: Estimate attitude errors

from ocean crossovers for correcting both ocean and land data. – Intermediate Hydro: L1B + water mask detection; rain, snow,

ice/frozen detections

• L2B (standard distributed products)Remark: Every field will be associated with an uncertainty estimate– Ocean (LR, fixed swath grid, 500 m; ~ 3 G-samples/day):

• Sea surface (SS) heights in latitude/longitude grid• SS slope at each point of the grid • Sigma 0• Wind speed• Ocean Sea Wave Height on same grid (goal)

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High Level Data Products (3 of 4)

• L2B (standard distributed products) (continued) – Hydrology (HR, regions, network, 50 m; TBD[80] GB/day):

• Geo-localized water mask (lakes > (250 m)^2, rivers >100 (50) m)• Estimated water elevations (same sampling as mask) -> Triangular

interpolated network (+ uncertainties)• Topographic map of the flood plain surrounding the water surface

and channel cross sections (requirement to be produced by the end of the mission; goal - annually)

– Ocean Nadir: Similar to current Jason-2 SGDR

• NRT (goal)– Ocean: as Level 2 products but with lower accuracy (quick-look orbit and

calibration using past cross-overs)– Hydro: Level 1 products (SLC + interferogram), no calibration data, use of

ancillary DEM for phase flattening– Nadir products: OGDR/ IGDR products (see Jason-2 OSS)

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High Level Data Products (4 of 4)

• POD – determined from GPS and DORIS

• Ancillary Data – updated daily – Atmospheric models: Dry Tropo (surface pressure), Wet Tropo (water

vapor) – Input to ionospheric model

• Geophysical Models – updated infrequently – Mean Sea Surface, Geoid – DEM, Water mask (a priori, then self derived) – Elastic Ocean Tides, Earth Tides, “Pole Tide”

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Sizing Considerations

• Global coverage, continuous acquisition• Acquisition hypothesis

– Sea 70%, Land 30% => In the average orbit, KaRIN will acquire 67 GB of data to be transmitted to

ground=> ~1 TB /day (~ 99% HR data)

• Archive Plan – Nominal mission duration: 3 years– Long term archive of (main contributors in terms of volume) Raw HR, SLC

(L1A), Interferograms + masks (L2A), Geo-localized hydro products (L2B) => ~10 000TBytes

• Comparison to other missions – CNES: more than 5 times Pleiades satellite archive (dual civilian/defense

optical imagery, to be launched soon)– NASA: similar to proposed DESDynI (Earth deformation and sea ice from L-

band Radar repeat pass interferometer)

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Page 17: SWOT  Ground System IGARSS  –  August  2011

SWOTJet Propulsion Laboratory California Institute of Technology

SWOT Ground System Outline

• Introduction– SWOT mission– Mission phases – Ground segment overview

• KaRIN Data Acquisition and Products– Acquisition characteristics– KaRIN processing – Data Products– Sizing estimates

• Joint Ground System Development – Commonality levels and approach for the processing development

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General Levels of Commonality

• Commonality between two processing systems may be achieved at different levels

– Commonality of the full production system (clone, e.g. Jason)• Prevents existing systems reuse. Not necessary for SWOT development

– Commonality of the algorithms, software, and products• Products are guaranteed 100% similar. May be the right level.

– Commonality of specification and reference data• Independent developments. Risky because reference data does not cover

all cases so products will not be 100% similar.

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General Algorithm Development Approach

• Science processing algorithms will be developed primarily by supplier of each instrument

• Algorithm flow will be iterated within entire development team

• Data product definitions will be iterated with Science Team • Algorithm testbed will be set up and prototype processing

developed – Testbed will read and write specified products – Test data will be (or emulate) specified products

• After initial development cycle, algorithm specifications will be written for review by System Engineering team and selected subset of Science Team

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CNES Usual Development Approach

• Algorithms prototyping activities and operational chain development are relatively independent The scope of prototype development may be larger than scope of operational

system development But not true the other way: prototypes are needed to build the reference data

for the validation of the operational chain

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Algorithmic prototyping

Operational chain development

GS Infrastructure development

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JPL Usual Development Approach

• Testbed prototype will incorporate as much of the processing framework as possible

• Notes: • NRT processing will be based on standard algorithms but may not use the

processing framework • Existing POD processing will be implemented in project environment

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Algorithmic prototyping

Operational chain development

GS Infrastructure development

Processing framework from previous projects will be leveraged

Algorithm and framework developers will agree on interfaces and control mechanisms

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Commonality Approach for SWOT

• Complementary prototyping activities will be conducted by JPL and CNES

• The order and nature of the processing steps of the operational LR and HR processing chains will be discussed and agreed on by JPL/NASA and CNES

• The detailed work share is not yet defined, but the operational algorithms and related binary code will be common

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BACKUP

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SWOT 40 month Mission Timeline

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Mission PhaseLaunch(02 Dec 2019)

2020 2021 2022 2019

EOM (Mar 2023)

Checkout / Commissioning (up to L + ~65 days)

LEOP ~3 days: nominal s/c state

Calibration/ Validation Period

OrbitInjection

ScienceDisposal

Calendar Years

22-day repeat, 78 deg, 970 km (non-sun-sync)

2023

Decommissioning( ~ 30 days)

Cal/Val

Eclipse Season (illustration only)

Fast Repeat

Science Observation (36 months)

TBD[3, 1 day; near 22 day]Science Processing Closeout

Fast sampling orbit acq 4 weeks

In-Flight Assessment Meeting

In-Flight Assessment Meeting

Operational Phase

Initial Phase

First Verification Workshop

~ 2-4 weeks Nominal Orbit Acquisition

Final Verification workshop (Sci Team meeting at L + 12 months

Backup or here ?

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Science Operations (1 of 1)

• Science data collection phase starts ~ 4.5 months after launch. Collect data for 3 full years in observational orbit

• Full validation period: 6 months of data in science orbit + 2 months processing, internal review

– Science Team meeting to assess initial data products ~ 12 months after launch – Processing update based on Science Team assessment implemented ~ 2 months after

meeting • Ready to reprocess all data with updated system ~ 16 months after launch. • Science Requirements on Reprocessing (assume “caught up” at 24 months)

puts requirements on total Processing Center throughput (Suggest project aggregate > 5x). Budget/scenario:

– Cal/val data (~3 months) – as science phase starts – Initial science phase data (~12 months +3 months cal/val) – within TBD [< 3] months.

Result: at ~20 months after launch version 2 of all usable data available. Support Science Team meeting at ~24 months to validate data

– End of nominal mission: Reprocess all data a second time with SDS update done from ~ 30 – 36 months after launch; takes 6 – 8 months (runs until 3 months after end of mission [assumes no extended mission])

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