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SPLIT-WINDOW TECHNIQUE

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Presentation on theme: "SPLIT-WINDOW TECHNIQUE"— Presentation transcript:

1 SPLIT-WINDOW TECHNIQUE

2 SPLIT-WINDOW TECHNIQUE
It is retrieval scheme which attempt to correct the signal from the surface. Some meteorologically important quantities, such as sea and land surface temperatures, are properties of the surface. To retrieve them, atmospheric modification of the upwelling radiation must be corrected. An extremely important technique used in many of these schemes is the so called split-window technique. Ret Schemes are 3 broad types Physical retrieval, Statistical Retrieval and Hybrid retrieval In Phy Retrieval, First Guess temp profile is chosen. Then weighting fns are calculated. The forward problem is solved to calculate the radiances. Then this calculated radiances are compared with actual radiances. If not within the limits, then current profile is adjusted. Two widely used methods are Chahine and Smith TO RETRIEVE THE SURFACE PROPERTY WE OPERATE IN THE WINDOW REGION REGION. BUT IT IS NOT A PERFECTLY CLEANER WINDOW WE AIM TO CORRECT EFFECTS OF ABSORBTION. IN 10-12UM THERE IS WATER VAPOUR ABS. IT DEPENDS ON WAVE LENGTH. ONE WAVELENGTH ABS > THAN OTHER CHANNEL. WE UTILISE THIS PROPERTY TO GET THE EFFECT OF WATER VAPOUR. SST EASIER TO RETRIEVE UNLIKE LAND SUR TEMP DUE VARIABLE EMMISIVITY.

3 SPLIT-WINDOW TECHNIQUE
Surface observations are made in atmospheric windows. However, these windows are dirty; that is, the radiance leaving the surface is modified by the atmosphere. For IR windows, the radiative transfer equation can be written as L = B(TS) 0() + B(TA) [1 - 0()] Where 0() is the transmittance from the surface to the satellite at wavelength , TS is the surface brightness (equivalent blackbody) temperature, and TA is the mean brightness temperature of the atmosphere given by B(TA) = 1/(1 - 0() )  =0∫ B(T) d 1

4 SPLIT-WINDOW TECHNIQUE
Some windows, particularly the 10.5 – 12.5 m window, are wide enough to permit observations in two channels. The split-window technique uses observations at two wavelengths to eliminate the influence of TA and solve for TS. Suppose that radiances at two wavelengths 1 and 2 are measured. Then L1 = B1(TB1) = B1(TS)1+ B1(TA) [1 - 1] L2 = B2(TB2) = B2(TS)2+ B2(TA) [1 - 2] Where the subscripts 1 & 2 indicate wavelength, TB is a brightness temperature (equivalent blackbody temperature), and  is understood to mean 0.

5 SPLIT-WINDOW TECHNIQUE
If the two wavelengths are close together, we can expect three things:- The weighting functions in the two channels will be similar, and therefore TA will be same in both equations. In the 10.5 – 12.5 m window, TA varies by less than 1 k. The surface emittance and thus TS will also be the same in each equation. Difference in transmittance will be the result of differences in the absorption coefficient of the same absorbing gas. In 10.5 – 12.5 m window, water vapour is the chief absorber.

6 SPLIT-WINDOW TECHNIQUE
If U is the column-integrated water vapour (the precipitable water), then   exp [-  (U/)] L1 = B1(TB1) = B1(TS)1+ B1(TA) [1 - 1] ……………………* L2 = B2(TB2) = B2(TS)2+ B2(TA) [1 - 2] ……………………** Given measurements of L1 and L2, the equations appears to constitute two equations in three unknowns; TA, TS, and U. It will turn out, however, that because the optical depth is small, eliminating TA also eliminates U.

7 SPLIT-WINDOW TECHNIQUE
The split-window technique can be used directly to obtain TS, but not U, from satellite measurements at two wavelengths. U can be retrieved, however, if an independent estimate of TA is available. To solve the equations for TS, the wavelength dependence must be eliminated. Since the weighting functions peak at the surface, TS, TB1 and TB2 will be close to TA . Expanding the plank functions about TA; B(T)  B(TA) +  B/T (T - TA) Where partial derivative is evaluated at T = TA.

8 SPLIT-WINDOW TECHNIQUE
Writing this equation for each wavelength and eliminating T - TA between two equations yields an equation that relates radiance changes at one wavelength to radiance changes at the other: B2(T)  B2(TA) + [( B2/T) / ( B1/T)] {(B1(T) – B1(TA)} Using equation to approximate B2(TB2) and B2(TS) yields ** B1(TB2) = B1(TS)2 + B1(TA) (1 - 2) Finally, eliminating B1(TA), the split-window equation becomes:- B1(TS) = B1(TB1) + [B1(TB1) - B1(TB2)], where =(1 - 1)/(1 - 2)

9 SPLIT-WINDOW TECHNIQUE
By approximating the plank function as locally linear, a slightly less accurate but more popular form of the split-window equation can be derived: TS = TB1 + [TB1 – TB2] Two important points must be made about the split-window equation. .

10 SPLIT-WINDOW TECHNIQUE
First, the split window technique is a correction technique. The difference between observations at two wavelengths is used to correct one of the observations for the atmospheric effects to yield an improved estimate of surface radiance or temperature. Second, the factor  does not depend on the amount of absorber U. Since the transmittance is relatively large in atmospheric windows, equation can be approximated as 2  1 -  (U/); and, therefore   1 / (2 - 1)

11 SPLIT-WINDOW TECHNIQUE
IF AVHRR Channel 4 (11 m) & 5 (12 m) are used for the first and second wavelengths, respectively, then   3. ( is positive because channel 5 is more sensitive to water vapour than channel 4.) Channels in separate windows, ( for example, the 3.7 and the 10.5 – 12.5 m windows), which are both clouded by the same gas can be used to estimate surface temperature, but one should not expect the equation to take the exact form of the split-window equation. In general, the surface temperature will be a linear combination of the measured brightness temperatures plus a constant term.

12 SPLIT-WINDOW TECHNIQUE
When channels in different windows are used, the technique is referred to as multiple-window technique. In practice the split-window technique is rarely used directly. Rather, it provides theoretical justification for regressing the surface temperature of interest against measured or simulated brightness temperatures.


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