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Page 1: Improving the SSES inputs to AATSR L2P Products

Page 1Medspiration 4th User Consultation, Villefranche sur mer, 4 December 2006

Improving the SSES inputs to AATSR L2P Products

Gary Corlett

AATSR Validation Scientist

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Contents

Reminder of current SSES scheme

SSTs from AATSR

What affects the quality of AATSR SSTs?

An alternate scheme using view differences

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Current SSES scheme for AATSR L2P

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What is AATSR? Imaging infrared and visible

radiometer on ENVISAT• Similar channels to AVHRR &

MODIS.

Dual view (nadir and 55° to nadir)• Along-track scanning, two views of

same scene at different angles, for better atmospheric correction

On-board calibration • 2 on-board black bodies for IR

calibration• VISCAL unit for visible channel

calibration

500 km swath 1 km IFOV at nadir

Stirling Cycle Coolers, cooling low noise detectors to 80K, for optimum signal-to-noise ratios

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Nominal Channel Centre Primary Application

0.55 m Chlorophyll

0.66 m Vegetation Index

0.87 m Vegetation

1.6 m Cloud Clearing

3.7 m SST Retrieval

11 m SST/LST Retrieval

12 m SST/LST Retrieval

AATSR SST Retrievals Retrievals by radiative transfer

modelling Usually of the form:

where n is the number of channels

For AATSR we have 2 channels during day and 3 during night

• 3.7 µm not used during day owing to solar contamination

We have two views, so we have four SST retrievals in total

We also have two product formats

• 1-km gridded (swath)• Spatially –averaged (gridded)

Four Possible Retrievals:

Nadir 2-channel N2Nadir 3-channel N3Dual 2-channel D2Dual 3-channel D3

n

nnBTaa1

0

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Retrieval Coefficients: 1-km

Coefficient N2 N3 D2 D3

Constant -0.34 0.04 2.83 0.70

Nadir 3.7 µm - 1.08 - 2.51

Nadir 11 µm 3.42 0.65 5.42 0.63

Nadir 12 µm -2.42 -0.73 -3.08 -0.73

Forward 3.7 µm - - - -1.47

Forward 11 µm - - -3.20 -0.34

Forward 12 µm - - 1.84 0.40

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What Affects the Quality of AATSR SSTs?

For December 2005 coefficients• D2-D3 bias (the latitude dependent correction) owing to limited

number of channels• Small residual bias (~ 0.15 K at T < 280 K) most likely due to

temperature dependent emissivity• These issues are being addressed in (A)RC project

• Clouds and aerosols (claerosols)• AATSR cloud screening is over-zealous

– AATSR is designed for climate SSTs!– Much better during day owing to 1.6 µm channel– Notable edge effects at night

• Dual-view corrects for tropospheric aerosol– But not quite!– Being addressed in (A)RC project

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Distribution of M-AERI Matchups

Matchups

• Day; Overpass ± 60 min; 1x1 Block

LEGEND

All +ve D-N-ve D-N

• Bi-modal distribution of differences

• 1 distribution due to -ve dual-nadir SST differences

• 1 distribution due to +ve dual-nadir SST differences

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Nov 2003

July 2003

Remedios et al., 2007

The Affect of Saharan Dust on AATSR SSTs (30’)

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Caribbean SST differences for ‘clean months’ – November to March

Data is derived from 30’ product

Threshold =

+0.26 K

Threshold =

-0.03 K

Day

D2-N2

Night

D3-N3

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Day

D2-N2

Night

D3-N3 Threshold =

+0.26 K

Threshold =

+0.25 K

Caribbean SST differences for ‘clean months’ – November to March

Data is derived from 1-km product

Noyes et al., RSE, 2006

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Pacific Ocean – ‘clean’ months

Good et al., RSE, 2007

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BT

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Schematic of BT Effects

Good et al., RSE, 2007

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Spatial Pattern of AR Differences to Buoys

Data from Anne O’Carroll (Met Office)

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Summary Current PCF scheme used in L2P applied to AATSR data is appropriate for

nadir-only IR with poor cloud screening• Does not account for over-zealous operational AATSR cloud screening• Does not account for impact of claerosols on forward view

Can develop improved confidence flag for AATSR• Use D-N difference to identify retrievals affected by claerosols

• Threshold = mode + 3 * sigma• Link to DT_min needs further work (not suitable for AATSR?)

• SST coefficients changed in December 2005• Data not yet reprocessed so need to wait for clean months!

Need to have NADIR SST in data file• For PCF scheme• N3 is a very good product anyway!

Future scheme should take into account spatial and temporal variation in SST retrievals

• OI based bias correction field