GEO-GEO products – diurnal variations

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Presentation transcript:

GEO-GEO products – diurnal variations Tim Hewison EUMETSAT

Overview Modify ATBD for GEO-LEO hyperspectral IR inter-calibration: Same geometric alignment criteria: Δsecθ < 0.01 Same Time difference Δt < 300 s (usually 0) But compare individual pixel:pixel Faster! But no averaging Pre-compute selected blocks of pixels Rule of thumb: for maxsec=0.01 lonmin=(a.ssnom+b.ssnom)/2-maxsec*4500./abs(a.ssnom-b.ssnom)/2 lonmax=(a.ssnom+b.ssnom)/2+maxsec*4500./abs(a.ssnom-b.ssnom)/2 Faster Assumes relative positions don’t change significantly over 24hr! Use unweighted linear regression

GEO-GEO Geo(metry) - Collocation Criteria Simultaneous near-Nadir Overpasses ΔLat<35° ΔLon<35° Δt< 5 min Δsecθ < 0.01 MSG2-IASI and MSG1-IASI MSG2-MSG1 Restricted to ~tropics ~1000 collocations/orbit/night Restricted to strip 4.9° wide Can extend to cover 24hr Example Image of Meteosat-9 10.8μm Channel Red points show collocated MSG-IASI pixels Example Image of Meteosat-9 10.8μm Channel Grey area shows collocated MSG2-MSG1 pixels

Overlap between 0.0°E and 9.5°E Collocations follow narrow strip Centred on 4.95°E Rule of Thumb: Δlon<4.96°

Overlap between 0.0°E and 9.5°E in RSS Collocations follow narrow strip Centred on 4.95°E Rule of Thumb: Δlon<4.96°

Overlap between 0.0°E and 3.4°E Collocations follow narrow strip Centred on 1.7°E Rule of Thumb: Δlon<14.26°

Overlap between 0.0°E and 3.4°E – in RSS Collocations follow narrow strip Centred on 1.7°E Rule of Thumb: Δlon<14.26°

Spectral Band Adjustment Factors Broadband IR comparison: No spectral convolution Need Spectral Band Adjustment Factor For GEO-GEO inter-calibration products Can neglect for relative differences in time series

Spectral Conversion Using IASI Obs Meteosat-8 and -9 have different Spectral Response Functions (SRFs) Take representative radiance spectra observed by IASI (cloudy + clear) Convolve with SRFs of MSG1 and MSG2 Synthetic radiances Compare by linear regression Function to convert LMSG1 to LMSG2 Need to include this function when comparing (MSG2-MSG1) with (MSG2-IASI)-(MSG1-IASI) Meteosat9-8 Brightness Temperature Differences from synthetic radiances calculated from IASI obs. Red lines show quadratic fit with 1-σ uncertainty. Typical differences ~0.2K, correctable with rms~0.03K (except IR3.9, because of non-linear radiance-Tb). This is not the limiting factor in these 3-way comparisons.

2014-03-01 MSG3-MSG1 Tb Diffs for Standard Scenes Blue/Green = Mean Tb-Tbref (RHS) Black = ΔTSTD(MSG3-MSG1) (LHS) Red = Mean (TMSG3-TMSG1) (LHS)

2014-03-01 MSG3-MSG1 Tb Diffs for Cold Scene (220K) Blue/Green = Mean Tb-Tbref (RHS) Black = ΔTSTD(MSG3-MSG1) (LHS) Red = Mean (TMSG3-TMSG1) (LHS)

Mean Variance over 24h Periods in 2014-02/03 Mean diurnal SD over ~1 month data Limited Validity of statistics: Outside eclipse season Will update in eclipse season Nominal BB Calibration Views Will update for experimental intervals Show GEO-GEO cal differences Assume each vary independently! >Theoretical Uncertainty ~Day-to-day variability Need to update guidance to users Just in ReadMe files? MSG3-MSG1 Channel Mean SD for TSTD[K] Mean SD Tb=220K IR3.9 0.212 3.24 IR6.2 0.052 0.27 IR7.3 0.039 0.35 IR8.7 0.42 IR9.7 0.038 0.44 IR10.8 0.040 0.41 IR12.0 0.050 0.36 IR13.4 0.33 Total Uncertainty (k=1) from Uncertainty Analysis ~0.01K Total Uncertainty (k=1) from Uncertainty Analysis ~0.7K for IR3.9 ~0.2K for IR10.8