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SOLAR RADIATIONSOLAR RADIATION
VALIDATIONVALIDATION
Jean-Louis RoujeanJean-Louis Roujean
CNRM / Météo-FranceCNRM / Météo-France
3
DSSF Validation StrategyDSSF 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)
7
Comparisons with in-situ measurements(period 2004-2006)
Stat. 2004 à 2006Stat. 2004 à 2006
Clear sky : bias : 5 W/m2 stdev : 40 W/m2
Cloudy sky :Bias : 5 W/m2 stdev : 115 W/m2
8
VALIDATION TIME SERIES: ALL SITES
bias=5W/m2 stdev=40W/m2
6 Stations in Europe (2004-2006)
ab
so
lute
4 Stations in Africa (2006)
bias=45W/m2 stdev=75W/m2a
bs
olu
te
bias=-2W/m2 stdev=125W/m2a
bs
olu
te
bias=5W/m2 stdev=115W/m2a
bs
olu
te
Overestimation of the radiation in clear sky situations (potentially due to aerosol effect)
9
Validation of DSSF over France with RADOME network (8 km)Validation of DSSF over France with RADOME network (8 km)
15/01/2006 12 h 15/06/2006 12 h 15/10/2006 12 h
10
Yearly profile (2006) of DSSF for 2 contrasted sitesYearly profile (2006) of DSSF for 2 contrasted sites
Carpentras (Provence) & Roissy (Paris airport)Carpentras (Provence) & Roissy (Paris airport)
ECMWF: -> under-estimate (clear) & over-estimate (cloudy)
DSSF Validation : NIAMEY DSSF Validation : NIAMEY (from RADAGAST project, ARM mobile station)(from RADAGAST project, ARM mobile station)
March, 2March, 2 May, 12May, 12 July, 1July, 1
DSSF Validation : AGOUFOU DSSF Validation : AGOUFOU (CESBIO data)(CESBIO data)
January, 13January, 13 March, 2March, 2 May, 12May, 12
Comparison of DSSF SAF-LAND / ECMWF – August 2005Comparison of DSSF SAF-LAND / ECMWF – August 2005
-> Tracking > Tracking of convective zones of convective zones
-> Less radiation-> Less radiation
14
Comparison between daily cumulative DSSF (DIDSSF) (left) and ECMWF forecast product (SSRD) over France at different dates during June 2009.
Daily DSSF (DIDSSF)
15
Comparison between daily cumulative DSSF (DIDSSF) (left) and ECMWF forecast product (SSRD) over France at different dates during June 2009.
16
COMPARISON WITH MODIS ALBEDO
[0.4µm,0.7µm]
[0.7µm,4µm]
[0.3µm,4µm]
over
Eur
ope
(fro
m 2
005-
06-0
1 to
200
6-10
- 01)
16-day average MSG Albedo –
MODIS albedo projected on SEVIRI grid
10-25 juin 2006
18
June 10, 2005
MSG – VIS-DH SAF Land – Quality Flag
MSG – MODIS : absolute difference MSG – MODIS : relative difference
VISIBLE Broad-Band
19
June 10, 2005
MSG – NIR-DH SAF Land – Quality Flag
MSG – MODIS : absolute difference MSG – MODIS : relative difference
NIR Broad-Band
20
Statistical results (bias/stdev) betweenbroadband albedos MSG et MODIS over Europe
Bias is negligible exceptVIS = 0.015 (due to aerosols ?)
Standard deviation :0.015 for VIS0.030 for NIR
21
Albedo Time Series: EvoraAlbedo Time Series: Evora
0.6µm 0.8µm 1.6µm
[0.4µm,0.7µm] [0.3µm,4µm] [0.7µm,4µm]
22
0.6µm 0.8µm 1.6µm
[0.4µm,0.7µm] [0.3µm,4µm] [0.7µm,4µm]
Albedo Time Series: BarraxAlbedo Time Series: Barrax
24
July 19, 2006
MSG – VIS-DH SAF Land – Quality Flag
MSG – MODIS : absolute difference MSG – MODIS : relative difference
VISIBLE Broad-Band
Bias = 0,047 ; RMSE = 0,026
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
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)