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SOLAR RADIATION VALIDATION Jean-Louis Roujean CNRM / Météo-France.

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Presentation on theme: "SOLAR RADIATION VALIDATION Jean-Louis Roujean CNRM / Météo-France."— Presentation transcript:

1 SOLAR RADIATION VALIDATION Jean-Louis Roujean CNRM / Météo-France

2 2 DSSF daily cycle

3 3 DSSF Validation Strategy Validation with in-situ data: Carpentras, Roissy Other ground stations: Data access to be coordinated with other SAFs Satellite product inter-comparison (SAFs,…) Comparison with model output (ECMWF)

4 4 Validation with in situ measurements

5 5 DAILY TIME SERIES EXAMPLES Clear Sky Cloudy Sky Clear Sky Cloudy Sky AOT 440nm X10-3

6 6

7 7 Comparisons with in-situ measurements (period ) Stat à 2006 Stat à 2006 Clear sky : bias : 5 W/m2 stdev : 40 W/m2 Cloudy sky : Bias : 5 W/m2 stdev : 115 W/m2

8 8 VALIDATION TIME SERIES: ALL SITES bias=5W/m2 stdev=40W/m2 6 Stations in Europe ( ) absolute 4 Stations in Africa (2006) bias=45W/m2 stdev=75W/m2 absolute bias=-2W/m2 stdev=125W/m2 absolute bias=5W/m2 stdev=115W/m2 absolute Overestimation of the radiation in clear sky situations (potentially due to aerosol effect)

9 9 Validation of DSSF over France with RADOME network (8 km) 15/01/ h15/06/ h15/10/ h

10 10 Yearly profile (2006) of DSSF for 2 contrasted sites Carpentras (Provence) & Roissy (Paris airport) ECMWF: -> under-estimate (clear) & over-estimate (cloudy)

11 DSSF Validation : NIAMEY (from RADAGAST project, ARM mobile station) March, 2 May, 12 July, 1

12 DSSF Validation : AGOUFOU (CESBIO data) January, 13 March, 2 May, 12

13 Comparison of DSSF SAF-LAND / ECMWF – August > Tracking of convective zones of convective zones -> Less radiation

14 14 Comparison between daily cumulative DSSF (DIDSSF) (left) and ECMWF forecast product (SSRD) over France at different dates during June Daily DSSF (DIDSSF)

15 15 Comparison between daily cumulative DSSF (DIDSSF) (left) and ECMWF forecast product (SSRD) over France at different dates during June 2009.

16 16 COMPARISON WITH MODIS ALBEDO [0.4µm,0.7µm] [0.7µm,4µm] [0.3µm,4µm] over Europe (from to ) 16-day average MSG Albedo – MODIS albedo projected on SEVIRI grid juin 2006

17 17 Comparison MSG with MODIS MSGMODIS

18 18 June 10, 2005 MSG – VIS-DHSAF Land – Quality Flag MSG – MODIS : absolute differenceMSG – MODIS : relative difference VISIBLE Broad-Band

19 19 June 10, 2005 MSG – NIR-DHSAF Land – Quality Flag MSG – MODIS : absolute differenceMSG – MODIS : relative difference NIR Broad-Band

20 20 Statistical results (bias/stdev) between broadband albedos MSG et MODIS over Europe Bias is negligible except VIS = (due to aerosols ?) Standard deviation : for VIS for NIR

21 21 Albedo Time Series: Evora 0.6µm 0.8µm 1.6µm [0.4µm,0.7µm] [0.3µm,4µm] [0.7µm,4µm]

22 22 0.6µm 0.8µm 1.6µm [0.4µm,0.7µm] [0.3µm,4µm] [0.7µm,4µm] Albedo Time Series: Barrax

23 juillet 2006 COMPARISON WITH MODIS ALBEDO

24 24 July 19, 2006 MSG – VIS-DHSAF Land – Quality Flag MSG – MODIS : absolute differenceMSG – MODIS : relative difference VISIBLE Broad-Band Bias = 0,047 ; RMSE = 0,026

25 25 X10 for AOT SAF-Land albedo Observed albedo Rainfall The temporal evolution of the albedo estimate is related to the evolution of surface properties (typically rainfall). The spurious fluctuations appear to be caused by aerosol effects. Modis SW-DH albedo ALBEDO TIME SERIES (Agoufou; Mali)

26 26 The temporal evolution of the albedo estimate is related to the evolution of surface properties (typically rainfall). The spurious fluctuations appear to be caused by aerosol effects. ALBEDO TIME SERIES (Banizoumbou; Niger)

27 27 The temporal evolution of the albedo estimate is related to the evolution of surface properties (typically rainfall). The spurious fluctuations appear to be caused by aerosol effects. ALBEDO TIME SERIES (Niamey; Niger)


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