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Title: Vicarious%20Calibration%20Using%20Earth%20Targets


1
Vicarious Calibration Using Earth Targets
  • Xiangqian (Fred) Wu
  • Sensor Physics Branch
  • Satellite Meteorology and Climatology Division
  • Center for Satellite Applications and Research
    (STAR, formally ORA)
  • National Environmental Satellite, Data, and
    Information Service (NESDIS)
  • National Oceanic and Atmospheric Administration
    (NOAA)
  • With help from many colleagues

2
Vicarious Calibration Using Earth Targets
  • Outline of the assignments
  • Overview of the technique
  • Relation to ASIC3
  • Present and planned capabilities
  • Impediments to progress
  • Recommendations

3
Vicarious Calibration Using Earth Targets
Context
  • Outline of the assignments
  • Overview of the technique
  • Relation to ASIC3
  • Necessary conditions for ASIC3
  • Common practices
  • Present and planned capabilities
  • Impediments to progress
  • Recommendations

4
Vicarious Calibration Using Earth Targets
Context
  • Some Necessary Conditions for ASIC3
  • Pre-launch
  • Sensor be fully characterized
  • Post-launch
  • Sensor performance be
  • Continuously monitored
  • Independently validated
  • Deficiency/Anomaly be identified, resolved,
    documented, and feedback for
  • re-analysis of historical data
  • development of future sensors

5
Vicarious Calibration Using Earth Targets
Context
  • Some common avenues to ASIC3 (Integrated Cal/Val
    System)
  • Verification of internal consistency of onboard
    calibration
  • Cross calibration with reference radiances
  • Dedicated sensor for on-orbit reference
  • Terrestrial Targets
  • Celestial targets Moon, Star
  • Cross calibration with measured radiances
  • Among any sensors, e.g., POES vs. GOES,
    operational vs. research
  • Same S/C (temporal, geometric), e.g., imager vs.
    sounder
  • Same series (spectral, spatial), e.g., POES vs.
    POES
  • SNO
  • Cross calibration with simulated radiances
  • NWP and CRTM
  • Monitoring, archiving, and disseminating the
    results in near real time throughout the sensor's
    mission life.

Weng
6
Vicarious Calibration Using Earth Targets
Overview
  • Outline of the assignments
  • Overview of the technique
  • Definition and Scope
  • Instrumented and non-instrumented targets
  • Four types of stable earth targets
  • Relation to ASIC3
  • Present and planned capabilities
  • Impediments to progress
  • Recommendations

7
Vicarious Calibration Using Earth Targets
Overview
  • Calibration
  • The extraction of signal from sensors
    measurements
  • by means of reference signal
  • Vicarious Calibration
  • the reference is external to the sensor

Measurement
At-aperture radiance
Artifact
Calibration signal
8
Vicarious Calibration Using Earth Targets
Overview
  • Calibration
  • The extraction of signal from sensors
    measurements
  • by means of reference signal
  • Vicarious Calibration
  • the reference is external to the sensor
  • Scope of the discussion
  • Limited to radiometric calibration
  • Focused on VISNIR (METEOSAT also used it for IR)
  • Stable earth targets

9
Vicarious Calibration Using Earth Targets
Overview
  • Instrumented Earth Targets
  • Lake Tahoe, Qinghai Lake IR imaging instruments

Hook
Zhang et al
10
Vicarious Calibration Using Earth Targets
Overview
  • Instrumented Earth Targets
  • Lake Tahoe, Qinghai Lake IR imaging instruments
  • Railroad Valley (playa), Dunhuang (desert) VISNIR

Zhang et al
Thome
11
Vicarious Calibration Using Earth Targets
Overview
  • Instrumented Earth Targets
  • Lake Tahoe, Qinghai Lake IR imaging instruments
  • Railroad Valley (playa), Dunhuang (desert)
    VISNIR
  • MOBY ocean color

NOAA/NESDIS/ORA
12
Vicarious Calibration Using Earth Targets
Overview
  • Instrumented Earth Targets
  • Lake Tahoe, Qinghai Lake IR imaging instruments
  • Railroad Valley (playa), Dunhuang (desert)
    VISNIR
  • MOBY ocean color
  • ARM Sites (SGP CART in particular) IR/MW
    sounding instruments

13
Vicarious Calibration Using Earth Targets
Overview
  • Instrumented Earth Targets
  • Lake Tahoe, Qinghai Lake IR imaging instruments
  • Railroad Valley (playa), Dunhuang (desert)
    VISNIR
  • MOBY ocean color
  • ARM Sites (SGP CART in particular) IR/MW
    sounding instruments
  • Cal/Val Campaign with aircraft/ship

Scripps
CIMSS
14
Vicarious Calibration Using Earth Targets
Overview
  • Instrumented Earth Targets
  • Lake Tahoe, Qinghai Lake IR imaging instruments
  • Railroad Valley (playa), Dunhuang (desert)
    VISNIR
  • MOBY ocean color
  • ARM Sites (SGP CART in particular) IR/MW
    sounding instruments
  • Cal/Val Campaign with aircraft/ship
  • Stable Earth Targets
  • Scene Statistics
  • Scattering Reflection
  • Ice Sheet (Greenland, Antarctica)
  • Desert (North Africa, Australia)

15
Vicarious Calibration Using Earth Targets
Overview
  • Scene Statistics
  • Representative works
  • Brest and Rossow (1992)
  • Tokunu and Itaya (1994)
  • Crosby et al (2005)
  • Reference
  • Selected scenes, global or regional, all or
    clouds
  • Assumptions
  • Statistical characteristics of the selected
    scenes are invariant in time

16
Vicarious Calibration Using Earth Targets
Overview
  • Scene Statistics

Crosby et al 2005
17
Vicarious Calibration Using Earth Targets
Overview
  • Scene Statistics
  • Easy to implement
  • No scene selection such as cloud/clear
  • Fundamental flaw in assuming that certain earth
    scenes are statistically invariant in time
  • Cannot detect climate change
  • Often violated in shorter time scale
  • Relative calibration only

18
Vicarious Calibration Using Earth Targets
Overview
  • Scattering and Reflection
  • Representative works
  • Fraser and Kaufman (1986)
  • Kaufman and Holben (1993)
  • Vermote and Kaufman (1995)
  • Reference
  • Molecular scattering and reflection from sun
    glint or cloud
  • Assumptions
  • FK VIS measurements at certain angle is
    dominated by molecular scattering, which is
    invariant in time and space
  • KH Reflection from sun glint is spectrally
    invariant
  • VK
  • Spectral difference of aerosol scattering is
    known
  • Reflection from cloud top is spectrally invariant

19
Vicarious Calibration Using Earth Targets
Overview
  • Scattering and Reflection

20
Vicarious Calibration Using Earth Targets
Overview
  • Scattering and Reflection
  • Abundant targets
  • Potential to have very large sample size
  • Absolute calibration (subject to uncertainty)
  • Rely on model
  • Uncertainty in model input
  • Sensitivity of model to input uncertainty
  • Molecular scattering signal is weak (4)

21
Vicarious Calibration Using Earth Targets
Overview
  • Ice Sheet
  • Representative works
  • Loeb 1997
  • Tahnk and Coakley (2001)
  • Reference
  • Reflection from ice sheet over Greenland and
    Antarctica
  • Assumptions
  • TOA reflectance is a quadratic function of solar
    zenith angle

22
Vicarious Calibration Using Earth Targets
Overview
  • Ice Sheet

Antarctica
Greenland
Channel 1
Channel 2
23
Vicarious Calibration Using Earth Targets
Overview
  • Ice Sheet
  • Strong signal (1/3 of dynamic range)
  • Correction involves solar zenith angle
  • Advantage in the presence of orbit drift
  • Relative calibration
  • Difficulty in cloud detection (VIS or IR)
  • Targets distribution a lot of targets for a
    short period of time

24
Vicarious Calibration Using Earth Targets
Overview
  • Desert
  • Representative works
  • Staylor (1990)
  • Rao and Chen (1996, 1999)
  • Reference
  • Reflection from selected desert sites
  • Assumptions
  • Surface characteristics is stable
  • TOA reflectance is well understood

25
Vicarious Calibration Using Earth Targets
Overview
  • Desert

From Desert by Christoph Heidelauf
26
Vicarious Calibration Using Earth Targets
Overview
  • Desert
  • Strong signal
  • Variety of signal
  • Different desert
  • Relative calibration
  • Noise (H2O, dust/aerosol, O3)

27
Vicarious Calibration Using Earth Targets
Capabilities
  • Outline of the assignments
  • Overview of the technique
  • Relation to ASIC3
  • Present and planned capabilities
  • Operational calibration at NOAA/NESDIS
  • Requirements for climate may differ from those
    for operations
  • Impediments to progress
  • Recommendations

28
Vicarious Calibration Using Earth Targets
Capabilities
  • Since 1996
  • Monthly update of AVHRR solar bands calibration
    coefficients
  • Second Tuesday every month
  • Disseminate the product
  • Level 1B data stream
  • Direct user notification
  • Web (planned improvement)
  • All actions archived

29
Vicarious Calibration Using Earth Targets
Capabilities
  • Recent Improvements
  • Product monitoring
  • Sinusoidal Function
  • More checks for non-target pixels (cloud,
    precipitation, dust)
  • Target homogeneity
  • Precision
  • Current 5-10
  • Planned 3-5

30
Vicarious Calibration Using Earth Targets
Capabilities
  • Product Monitoring Precision

N16 N17 AVHRR during SNO Mean 40 Difference
lt 2
31
Vicarious Calibration Using Earth Targets
Capabilities
  • Product Monitoring Precision
  • Standard Deviation

Ch. 1 Ch. 2 Ch. 3
1s reflectance () 0.44 1.23 1.00
_ 3s reflectance _ Mean reflectance 3.5 8.7 4.5
32
Vicarious Calibration Using Earth Targets
Capabilities
  • Recent Improvements
  • Product monitoring
  • Sinusoidal Function
  • More checks for non-target pixels (cloud,
    precipitation, dust)
  • Target homogeneity
  • Precision
  • Current 5-10
  • Planned 3-5
  • Accuracy Uncertain
  • Earlier (Aircraft via NOAA-9) 37.8 for Channel
    1
  • Lately (MODIS, supported by ATSR and MISR) 41
  • Reconcile the difference
  • Impact on users

33
Vicarious Calibration Using Earth Targets
Capabilities
  • Planned for near future
  • Account for water vapor variation

ReflaßtAcos(?tf0)
Heidinger
34
Vicarious Calibration Using Earth Targets
Capabilities
  • Planned for near future
  • Account for water vapor variation
  • Other model of target BRDF

ReflaßtAcos(?tf0)
cos?cos?cos?0 sin?sin?0cos(azm) ?0 ?
cos?cos?0 Stable orbit ? ?0t
  • Are ? and ?0 reciprocal?
  • Is Refl linear function of cos??
  • Account for orbit drift (METEOSAT)?

35
Vicarious Calibration Using Earth Targets
Impediments
  • Outline of the assignments
  • Overview of the technique
  • Relation to ASIC3
  • Present and planned capabilities
  • Impediments to progress
  • Target characterization
  • Reference value
  • Diurnal/Annual variation
  • Atmospheric effect (water vapor, aerosol, O3)
  • Sensor characterization
  • Multiple good targets
  • Recommendations

36
Vicarious Calibration Using Earth Targets
Impediments
37
Vicarious Calibration Using Earth Targets
Impediments
38
Vicarious Calibration Using Earth Targets
Impediments
  • Sensor Characterization
  • Spectral Response Function
  • Inadequately specified
  • Many unknowns
  • Effort to archive all online
  • and quantify their uncertainty
  • Radiometric Calibration
  • Pre-launch calibration procedure

39
Vicarious Calibration Using Earth Targets
Impediments
  • Perfect target generates the same signal
  • At different time
  • On synoptic (weather), seasonal (vegetation),
    and inter-annual (El Niño) scales
  • High altitude (less water vapor and dust
    variation)
  • From different parts
  • Sensors IFOV, navigation error, cloud detection
  • In different spectral band
  • Difference/Uncertainty in SRF of sensors
  • To different directions (sun/sensor geometry)
  • Flat
  • Low latitude
  • Near the upper limit of sensors dynamic range
  • To increase S/N ratio and
  • To reduce uncertainty when extrapolated
  • Not contaminated (by clouds)
  • More for GEO

40
Vicarious Calibration Using Earth Targets
Recommendations
  • Outline of the assignments
  • Overview of the technique
  • Relation to asic3
  • Present and planned capabilities
  • Impediments to progress
  • Recommendations

41
Vicarious Calibration Using Earth Targets
Recommendations
  • Continue the effort in vicarious calibration
    using stable earth targets
  • No other way to measure and calibrate the climate
    in the past
  • Collaboration
  • International (sites, sensors, creativity)
  • GEO and LEO
  • Research and operation
  • Producer and user. Find a good application.
  • NDVI
  • Aerosol
  • Cryosphere
  • Radiation budget
  • Learn the lesson
  • Channel alignment (GOES-R ABI with VIIRS)
  • Better specifications
  • Operation overlap

42
Backup
43
Backup
Channel Index Channel Index Pixel Size (m) Pixel Size (m) Central l (nm) Central l (nm) Dl (nm) Dl (nm) Aligned With
ABI VIIRS ABI VIIRS ABI VIIRS ABI VIIRS VIIRS?
1 M3 1000 750 470 488 40 20 No
2 I1 500 375 640 640 100 80 No
3 I2 1000 375 860 865 40 39 Yes
4 M9 2000 750 1380 1378 30 15 Yes
5 I3 1000 375 1610 1610 60 60 Yes
6 M11 2000 750 2260 2250 50 50 Yes
  • Some were modified to be aligned with VIIRS
  • Some differences remain

44
Backup
45
Backup
46
Backup
47
Backup
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