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Imperial College London. Dust Longwave Forcing from GERB and SEVIRI. Vincent Gimbert, H.E. Brindley, J.E. Harries. Thanks to Rainer Hollmann, Nicolas Clerbaux, Alessandro Ipe and Richard Allan, Andy Smith. GIST 26, 03 May 2007, RAL, Abingdon. Motivation.
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Imperial College London Dust Longwave Forcing from GERB and SEVIRI Vincent Gimbert, H.E. Brindley, J.E. Harries Thanks to Rainer Hollmann, Nicolas Clerbaux, Alessandro Ipe and Richard Allan, Andy Smith GIST 26, 03 May 2007, RAL, Abingdon
Motivation • Use GERB and SEVIRI to measure TOA LW radiative forcing of Dust aerosols over the Sahara • Model Clear-sky TOA LW Radiances Using ECMWF Analyses to separate out effect of Dust from that of variable meteorology • Test the ECMWF model against observations and provide uncertainties in estimate of Dust forcing
Outline of Presentation • Method, measurements, model • March 2004: LW forcing of dust storm from GERB • Model comparison with Clearsky observations from GERB and SEVIRI IR Channels • Dust spectral forcing • Results from March 2006 • Conclusion and future work
GERB LW radiance 200403 12 UTC • Strong OLR perturbation associated with dust event • Daytime SAFNWC Dust detection
RT modelling / GERB-SEVIRI data Spectral Radiances modelled using MODTRAN 4 from 3.5 μm to ∞ • Temperature, humidity, ozone from ECMWF analyses • Unity surface emissivity • 1 * 1 Degree resolution - 60/91 vertical levels • Spectral integration over appropriate instrument/channel response Comparison with GERB and SEVIRI measurement • GERB L2 ARG • SEVIRI L1.5 Radiances (7 IR channels, 062,073,087,097,108,120,134) • 6-hourly 00:00, 06:00, 12:00, 18:00 (No GERB data at 00:00) • March 2004 and 2006
12:00 GERB - Model difference • GERB/model anomaly coincides with dust front on 3rd March 2004 • Anomalies over clear sky as well
GERB and Model 12UTC through March Cloud/dust free pixels averages over dust front region (~10*10 deg square) Over dust front (20040303) : LWRF ~ 20(+/- 3) W/m2
Time dependence of clearsky errors • Model warm bias at 06 and 18 • Larger errors at 12 (larger Std Dev than 06 and 18) • Use SEVIRI to test model...
WV 6.2 μm, High/mid atm WV 7.3μm, Mid/Low SEVIRI/model Water Vapour channels
Window channels • Persistent model warm bias at night (σ~1-2K) • Daytime cold bias (~3K), σ~3.3K • Discrepancies over LAND • Same results from 10.8μm channel
The case of 8.7μm Channel 12.0μm 8.7μm Day Night
Strong SEVIRI/model differences in 8.7μm channel • Same pattern at all time steps • Surface emissivity?
Assume emissivity (12.0μm)~1 and T(8.7 μm) ~T(12.0 μm) • Separate surface emissivity signal from 8.7 μm channel Method useful for removing consistent bias No a priori knowledge of surface spectral emissivity needed
8.7μm: Emissivity + Tsurf 12.0μm: Surface Temperature Latitudinal dependence of Clearsky errors • No dependance in WV channels
Dust LW Spectral forcing No correction: unrealistic forcing, No uncertainties 6.2um: non- physical 7.3um: Negative at 12UTC… 8.7um: Too high (emissivity bias)
March 2006 Dust event 20060307 12UTC EUMETSAT Dust RGB colour scheme
March 2006 Dust event 20060308 12UTC EUMETSAT Dust RGB colour scheme
Dust LW Spectral forcing • Maximum forcing on 20060308 • Similar spectral dependence as March 2004 • Consistent with models
Conclusion and future work • Mean 200403 Dust storm OLR forcing: ~20W/m2 • Diurnal cycle of Clear-sky GERB-model errors • Good agreement in SEVIRI WV channels (small biases) • Land Emissivity and Temperature Regional Biases in Window Channels • Very similar results for March 2004 and 2006: • Dust Spectral Forcing Future work: • Validation at Niamey ARM site: • Dust detection reliability • Diurnal cycle of Tsurf • Consistence of GERB-SEVIRI vs Model biases
Daytime Conditional Bias Model does not reproduce the range of GERB OLR at 12 Similar finding as Trigo and Viterbo (2003) with ECMWF model compared to MS7 Window channel We look at possible sources of errors at the surface