RAL Space STFC, United Kingdom

Slides:



Advertisements
Similar presentations
AITA 9, MERTIS Team – MERTIS Calibration, Oct 2007 Folie 1 Development of a calibration concept for the MErcury Thermal Infrared Spectrometer Thomas Saeuberlich,
Advertisements

Summary of Terra and Aqua MODIS Long-term Performance Jack Xiong 1, Brian Wenny 2, Sri Madhaven 2, Amit Angal 3, William Barnes 4, and Vincent Salomonson.
Aqua MODIS Cold FPA Performance and Operation MODIS Characterization Support Team (MCST) April 25, 2012.
VIIRS Reflective Solar On-orbit Calibration and Performance Jack Xiong and Jim Butler Code 618.0, NASA/GSFC, Greenbelt, MD CLARREO SDT Meeting, NASA.
Brown Bag Lunch Lecture ABI Calibration
Clouds and the Earth’s Radiant Energy System NASA Langley Research Center / Atmospheric Sciences Methodology to compare GERB- CERES filtered radiances.
Pre-launch Characterization of the CERES Flight Model 5 (FM5) Instrument on NPP S. Thomas a, K. J. Priestley b, M. Shankar a, N. P. Smith a, M. G. Timcoe.
A Fundamental Climate Data Record for the AVHRR Jonathan Mittaz Manik Bali & Andrew Harris CICS/ESSIC University of Maryland.
1 PHYSICS Progress on characterization of a dualband IR imaging spectrometer Brian Beecken, Cory Lindh, and Randall Johnson Physics Department, Bethel.
Xin Kong, Lizzie Noyes, Gary Corlett, John Remedios, Simon Good and David Llewellyn-Jones Earth Observation Science, Space Research Centre, University.
ESTEC July 2000 Estimation of Aerosol Properties from CHRIS-PROBA Data Jeff Settle Environmental Systems Science Centre University of Reading.
Rachel Klima (on behalf of the MASCS team) JHU/APL MASCS/VIRS Data Users’ Workshop LPSC 2014, The Woodlands, TX March 17,2014 MASCS Instrument & VIRS Calibration.
Determining the accuracy of MODIS Sea- Surface Temperatures – an Essential Climate Variable Peter J. Minnett & Robert H. Evans Meteorology and Physical.
MERIS US Workshop, Silver Springs, 14 th July 2008 MERIS US Workshop, 14 July 2008, Washington (USA) Henri LAUR Envisat Mission Manager.
1 Reflected Solar Calibration Demonstration System - SOLARIS K. Thome, D. Jennings, B. McAndrew, J. McCorkel, P. Thompson NASA/GSFC.
1 RAL involvement in ATSR series For over 25 years RAL have been deeply involved in the ATSR series of instruments being responsible for –PI institute.
A Method for Correcting for Telescope Spectral Transmission in the Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) John D. Elwell, Deron.
The AATSR sensor and its in-flight performance Chris Mutlow (1), Gary Corlett (2) and Dave Smith (1) (1) Earth Observation and Atmospheric Science Division,
Radiative transfer in the thermal infrared and the surface source term
Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: Initial trade-off: Height-resolved.
Electro-optical systems Sensor Resolution
# x pixels Geometry # Detector elements Detector Element Sizes Array Size Detector Element Sizes # Detector elements Pictorial diagram showing detector.
Methane Retrievals in the Thermal Infrared from IASI AGU Fall Meeting, 14 th -18 th December, San Francisco, USA. Diane.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS Non-Meteorological Application for Himawari-8 Presented.
Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC.
1 CLARREO Advances in Reflected Solar Spectra Calibration Accuracy K. Thome 1, N. Fox 2, G. Kopp 3, J. McCorkel 1, P. Pilewskie 3 1 NASA/Goddard Space.
2015 GSICS Annual Meeting, Deli India March 16~20, 2015 Xiuqing Hu National Satellite Meteorological Center, CMA Yupeng Wang, Wei Fang Changchun Institute.
Future eumetsat missions: MTG/FCI, MTG/UVNS and EPS-SG/METimage
GSICS Web Meeting, 17 November 2011
Paper under review for JGR-Atmospheres …
Pre-launch Characteristics and Calibration
NOAA VIIRS Team GIRO Implementation Updates
TEMPO Instrument Update
METimage Calibration Pepe Phillips GSICS Data & Research Working
AATSR Performance Dr Dave Smith
Calibrating the METEOSAT SEVIRI solar channels using lunar observations Sébastien Wagner (1) Bartolomeo Viticchie (1), Tom Stone (2), Tim Hewison(1), Gary.
Deep Convective Clouds (DCC) BRDF Characterization Using PARASOL Bidirectional Observations Bertrand Fougnie CNES.
MODIS and VIIRS Reflective Solar Bands Calibration Methodologies and
Monitoring weather and climate from space
TEMPO Instrument Update
Verifying the DCC methodology calibration transfer
Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC Height-resolved aerosol R.Siddans.
Calibration Status for the GOME Instrument
GOES-16 ABI Lunar Data Preparation to GIRO
An Overview of MODIS Reflective Solar Bands Calibration and Performance Jack Xiong NASA / GSFC GRWG Web Meeting on Reference Instruments and Their Traceability.
AIRS (Atmospheric Infrared Sounder) Instrument Characteristics
OMEGA GROUND CALIBRATION
MODIS Lunar Calibration Data Preparation and Results for GIRO Testing
San Diego Conference 2 August 2001
Instrument Characterization: Status
MODIS Characterization and Support Team Presented By Truman Wilson
Deep Convective Cloud BRDF characterization using PARASOL
Using the Moon for Sensor Calibration Inter- comparisons
Manik Bali Jonathan Mittaz
Comparison between Sentinel-3A SLSTR and IASI aboard Metop-A and –B
Instrument Considerations
Changchun Institute of Optics Fine Mechanics and Physics
S-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) Lunar Calibration using GSICS Implementation of the ROLO model (GIRO) for Reflective Solar Bands.
MODIS L1B Data Product Uncertainty Index Jack Xiong (Xiaoxiong
Inter-calibration of the SEVIRI solar bands against MODIS Aqua, using Deep Convective Clouds as transfer targets Sébastien Wagner, Tim Hewison In collaboration.
TanSat/CAPI Calibration and validation
Deep Convective Clouds (DCC) BRDF Characterization Using PARASOL Bidirectional Observations Bertrand Fougnie CNES.
Early calibration results of FY-4A/GIIRS during in-orbit testing
Na Xu, Xiuqing Hu, Lin Chen, Min Min
Shanghai Institute of Technical Physics , Chinese Academy of Science
Status after 3 months of L1 Cal/Val
Remote sensing in meteorology
G16 vs. G17 IR Inter-comparison: Some Experiences and Lessons from validation toward GEO-GEO Inter-calibration Fangfang Yu, Xiangqian Wu, Hyelim Yoo and.
How good is IASI-A as an in-orbit reference in GSICS in LWIR and IR
Latest updates on alternative, fully automated approaches to Optical Sensors Radiometric Calibration and data quality IDEAS+ WP3520 Calibration and Data.
Presentation transcript:

RAL Space STFC, United Kingdom Calibration and In-Flight Performance of the Sentinel-3 Sea and Land Surface Temperature Radiometer Dave Smith; Arrow Lee; Mireya Extaluze; Edward Polehampton; Tim Nightingale; Elliot Newman; Dan Peters RAL Space STFC, United Kingdom dave.smith@stfc.ac.uk © 2017 RAL Space

ATSR Series 1991-2000 ATSR-1 1995-2008 ATSR-2 2002-2012- AATSR

SLSTR Key Requrements Continuity of Sea and Land Surface Temperature datasets derived from (A)ATSR Additional bands for fire radiative power measurements and improved cloud detection Dual-View Capability On-board calibration sources Daily global coverage (with 2 satellites) AATSR Level-3 product at user-defined spatial resolution Europe daytime Feb 2011 at 0.25° Global SST ENVISAT AATSR monthly composite MERIS: hermes.acri.fr AATSR: ALT: http://www.aviso.oceanobs.com/en/data/data-access-services/live-access-server-las/index.html ENVISAT AATSR hot spot fires and world fire atlas

SLSTR instrument Nadir swath >74° (1400km swath) Dual view swath 49° (750 km) Two telescopes 110 mm / 800mm focal length Spectral bands TIR : 3.74µm, 10.85µm, 12µm SWIR : 1.38µm, 1.61µm, 2.25 µm VIS: 555nm, 659nm, 859nm Spatial Resolution 1km at nadir for TIR, 0.5km for VIS/SWIR Radiometric quality NEΔT 30 mK (LWIR) – 50mK (MWIR) SNR 20 for VIS - SWIR Radiometric accuracy 0.2K for IR channels 2% for Solar channels relative to Sun On-Board Calibration Blackbody Sources for TIR VISCAL for solar channels

On-Board Calibration systems Thermal InfraRed Blackbodies VIS-SWIR Channels VISCAL Effective e >0.998 T non-uniformity < 0.02 K T Abs. Accuracy 0.07 K T stability < 0.3 mK/s 8 PRT sensors + 32 Thermistors Zenith diffuser + relay mirrors Uncertainty <2%

SLSTR-A Calibration at RAL - Jan-June 2015 Sentinel-3A launch - Feb 2016 First Image - March 2016 In-Orbit Commissioning Review – July 2016 Hurricane Ophelia 15/10/2017 © 2017 RAL Space

SLSTR-B = Refurbished Proto-Flight Model (PFMr) Refurb includes: Arrived at RAL for calibration – Oct 2016 In-Air Tests – October – Nov 2016 In-Vacuum Tests – Nov 2016 – Feb 2017 S3B Launch – Spring 2018 SLSTR-B = Refurbished Proto-Flight Model (PFMr) Refurb includes: Rebuilt BB1 New flight BB2 Recoated telescope aperture stop to reduce internal strays © 2017 RAL Space

The Goal To ensure the interoperability of satellite datasets it is a requirement for their measurements to be calibrated against standards that are traceable to SI units For temperature this is the International Temperature Scale of 1990 For IR instruments such as SLSTR the traceability is achieved via internal BB sources Instrument Blackbody Source S-PRT Fixed Point Cells

Measured signal, DN is a function of scene radiance Radiometric Model Measured signal, DN is a function of scene radiance At IR Wavelengths self emission is a significant fraction of detected signal!! DNscene = FADC(V(Pscene+Popt+Pfpa) + Voff) = G(L(Tscene)) + DNoffset Earth Scene Pscene = AΩ𝜏FPA 𝜏optL(Tscene) Optics Popt = AΩ𝜏FPA (1-𝜏opt)L(Topt) FPA Pfpa = A(𝜋-Ω𝜏FPA) L(Tfpa)

Calibration Model We can invert the radiometric model to obtain: Lscene = g-1(DNscene-DNdark) ≈ a0 + a1DNscene (assuming linear function) Notes: For calibration to be valid both dark signal and offset must be stable between calibration intervals At TIR wavelengths this requires thermal uniformity and stability of optics For SLSTR we use on board BBs to derive calibration coefficients

SLSTR L1 Processing Processing specification defined by ATBD -> DPM L0 and L1 Product Specifications Each spectral band (5 thermal bands) and detector element (2x2) for each for each earth view (separate for nadir and oblique) has unique set of calibration calibration coefficients = 40 for IR channels alone Contained in Satellite Characterisation and Calibration Database Document (S-CCDB) Configuration controlled by MPC

SLSTR IR Traceability Tree © 2017 RAL Space

SLSTR IR Channel Calibration Budget This is the flight calibration budget

Instrument Calibration – Objectives Provision of calibration data needed for data processing chain Does the end-to-end flight instrument calibration scheme work? New optical design – 2 telescopes not 1, multiple detectors per channel OME thermal design – not based on AATSR heritage Does the instrument calibration work over the full field of view and dynamic range? Wider instrument swath compared to AATSR Nonlinearity, Noise performance, Dynamic range Does calibration work in flight representative environment? Nominal BOL EOL (Hot) Orbital temperature variations © 2017 RAL Space

Calibration Topics IR Radiometry Spectral Response Calibration Blackbody calibration Radiometric accuracy over dynamic range Linearity Radiometric noise performance Orbital Stability Solar Channel Radiometry Calibration of VISCAL system Radiometric response over dynamic range Spectral Response Calibration In-band response Out of band response Temperature dependency of response Geometric Calibration Pointing Direction (LoS) Spatial Sampling Co-Registration Image Quality (MTF)

Spectral Response Calibration Measurement technique: Operated the SLSTR focal plane array as the detector in a Michelson Fourier transform spectrometer Derived spectral responses from time-resolved interferograms collected by the FPA detectors Characterised: Spectral responses of all standard channels (S1 – S9) at FPA temperatures of 87K, 92K, 100K Spectral polarisation (depth, plane and unpolarised response) of longwave channels (S7 – S9) at an FPA temperature of 87K © 2017 RAL Space

Spectral Response Profiles 0.555µm S2 0.660µm S3 0.868µm S4 1.375µm S5 1.612µm S6 2.253µm S7 3.742µm S8 10.82µm S9 12.05µm LW edge Sensitive to Temperature © 2017 RAL Space All channels within requirements 

Thermal IR Calibration Facility Alignment Optics Earth Shine Plate Initial Trials with STM completed April 2012 TV and calibration of S3A instrument March-May 2015 S3B Calibration Oct 2016 – Feb 2017 S3C 2019 S3D 2020… Point source + collimator Instrument Electronics Blackbody Source Platform Simulator ESA requirement to perform calibration tests under flight representative conditions. Thermal balance Steady State Instrument fully operational © 2012 RAL Space

TIR calibration- Blackbody Source ATSR-2 AATSR S3 SLSTR ATSR Standards E S C o l a n t P i p e c A r u h s g b f ( 2 3 6 m j x , 1 ) T B M F d y G v 5 ° R I 4 - L Precision RIRTs Calibrated to ITS90 < 0.01K Emissivity 12µm = 0.99871 11µm = 0.99870 3.7µm = 0.99911 Radiometric Accuracy < 0.05K Sources previously used for all ATSR instruments Blackbody radiances are dependent on two key parameters Temperature Calibration is achieved by calibrating thermometer systems to ITS-90 Emissivity Emissivity is harder to achieve for large targets Has to be done in a temperature controlled environment For the SLSTR operating temperatures, the ratio of signal to background is small – hence measurement uncertainties are large Radiometric accuracy required <0.1% for SLSTR Most reliable figures for emissivity are obtained by calibration of witness samples + modelled geometry.

IR Calibration Test Summary Calibration at ‘Nominal’ BOL conditions Centre of Nadir/Oblique views On-Board BBs at nominal settings (250K, 300K) Test over full dynamic range (5K intervals) Test over full swath (reduced number of scene temperatures) Calibration at ‘Hot’ EOL conditions Test over part dynamic range (10K intervals) Tests with different on-board BB temperatures Test performed at ‘Nominal’ BOL conditions Currently at ‘low’, ’medium’, ’high’ power settings +Y and –Y BBs will be switched Orbital simulation tests © 2017 RAL Space

Radiometric Noise SLSTR-B SLSTR-A Both instruments have comparable NEDT performance and well inside mission requirements © 2017 RAL Space

IR Calibration - Counts Vs. Temps 70us integration time shown only Min temperature achieved is 224K Saturation of S7 > 300K (additional step at 305K to confirm)

TIR Calibration - Measured vs Actual BT Nadir Oblique Also have calibration for fire channels up to 330K

Measured - Actual BT SLSTR-B Nadir Oblique © 2015 RAL Space aaaaa

Measured - Actual BT SLSTR-A Nadir Oblique © 2015 RAL Space aaaaa

Measurements by PTB confirm 2015 investigation Why the differences? Non-Blackness of optical stops (i.e. ɛ < 0.9) causing non-uniform thermal background Measurements by PTB confirm 2015 investigation Hence modification to stop coatings Temperature gradients in flight BBs Thermal modelling shows asymmetry of baseplate temperatures Analysis of BB radiances in progress © 2017 RAL Space

On-Orbit Monitoring Routine monitoring of SLSTR performance is performed by Sentinel-3 Mission Performance Centre Analysis of parameters critical for on-orbit calibration Analysis of SLSTR data are performed using. Level-0 data are provided via the MPC FTP server. Level-1 assessment is made via IPF products made available on the MPC server. Routine monitoring plots for L0 data are available at: http://gws-access.ceda.ac.uk/public/slstr_cpa/phase_E1/SLSTR_Calibration.html with username RAL_monitoring and password Sentinel3_RAL.

TIR Radiometric Noise Performance All channels within specification

BB Temperatures Heated BB temperature showed increase towards perihelion – Tbb ~ 304K – just below S7 saturation threshold (305K). May need to reduce heater power to avoid Tbb = 305K Small drift of PRT#1 (centre of BB) observed

IR Gains IR gains show increase as detector temperatures warm-up between outgassing cycles. Calibration should compensate but may see variations in calibration at extremes of scene temperature range due to non-linearity errors.

IR Channel Offsets IR offsets show small variation due to detector and optics temperature variations. Offset variations will determine minimum BTs (see later slides on S8 minimum temperature) Note each detector and odd/even pixels have different offset values

Nadir/Oblique View Comparisons S7 shows change between gains of Nadir and Oblique views ~ 0.1% S8/S9 show small differences <0.01%

SLSTR-A – IASI-A Comparisons Time Difference 5 min |IASI sza|<20deg:no_signal filtered S8 S9 Tomazic et al Eumetsat Conference 2016

SLSTR-A - IASI-A Comparisons 2K Binned averages Cold BB at 262K S8 Note calibration Budget uncertainties ! S9 Where is the ’stray light’? Tomazic et al Eumetsat Conference 2016 aaaaa

Conclusions Pre-Launch Calibration allows us to validate the end-to-end instrument flight calibration systems against known reference targets. Not possible after launch Provides a reference dataset against which the processing algorithms can be verified. Papers on calibration results are being prepared L1 products contain basic uncertainty estimates Noise derived from BB sources Estimates of calibration uncertainties from pre-launch characterisation Improvements are foreseen… Traceability chain needs to be documented in-order for SLSTR to become a reference sensor. © 2017 RAL Space