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Towards repeat-track measurements of elevation change using ICESat/GLAS B. E. Smith Funded by the ICESat science team With thanks to Charlie Bentley, Charlie.

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Presentation on theme: "Towards repeat-track measurements of elevation change using ICESat/GLAS B. E. Smith Funded by the ICESat science team With thanks to Charlie Bentley, Charlie."— Presentation transcript:

1 Towards repeat-track measurements of elevation change using ICESat/GLAS B. E. Smith Funded by the ICESat science team With thanks to Charlie Bentley, Charlie Raymond, Ian Joughin, and Howard Conway

2 Repeat track elevation change

3 Outline Three questions Data Estimating elevation changes Evaluating elevation change estimates Three answers

4 Three questions I have a study site on an ICESat track. Can I find the elevation rate? Will cross-track slopes confuse the elevation rate estimates? When should I believe that an along-track elevation rate is accurate?

5 Elevations from GLA12 –L2A, L2B and L3A, and L3D campaigns have the best pointing models. Data filtering for apparent reflectivity, pulse shape rejects 20% of all data Errors estimated from same- period crossovers over flat terrain and apparent surface roughness Data 2A 2B 3A 3B 3C 3D 3E 3F

6 Elevation rate estimates: repeat track analysis Techniques Applied to 1 km segments of track Assume elevations follow: –as a matrix equation: Generalized inverse: Elevation rate and slope estimates: –Model covariance matrix: x y C zz … … C zx C xx … C zy C xy C yy Covariance between m y and dz/dt Variance in dz/dt

7 Pick a point on a ground track Fit nearby ICESat data with a plane Estimate dz/dt from residuals to the plane Example

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9 Elevation rate estimates: repeat track analysis Techniques Applied to 1 km segments of track Assume elevations follow: –as a matrix equation: Generalized inverse: Elevation rate and slope estimates: –Model covariance matrix: x y C zz … … C zx C xx … C zy C xy C yy Covariance between m y and dz/dt Variance in dz/dt

10 Interpretation of the model covariance matrix Techniques Interpretation of the model covariance matrix Expected errors in model parameters given by  dz/dt = C zz 1/2  x-slope = C xx 1/2  y-slope = C yy 1/2 Expected correlations between errors determined by off-diagonal components E[  y /  dz/dt ] given by C zy /C yy Correlation between cross-track slope and dz/dt given by C zy /(C zz C yy ) 1/2  dz/dt yy  dz/dt tan(  )=C zy /C yy correlation=C zy /(C zz C yy ) 1/2 C zz … … C zx C xx … C zy C xy C yy Covariance between m y and dz/dt Variance in dz/dt Covariance between m x and dz/dt

11 Interpretation of the model covariance matrix Techniques Estimates of dz/dt may be problematic if  dz/dt is large -Or- there is a large slope error -And- There is a strong correlation between slope and dz/dt -And- errors dz/dt depend strongly on errors in the slope How often is this a problem? C zz … … C zx C xx … C zy C xy C yy Covariance between m y and dz/dt Variance in dz/dt Covariance between m x and dz/dt  slope  dz/dt  dz/dt  slope d  dz/dt /d(  slope ) =Czy/Cyy correlation=C zy /(C zz C yy ) 1/2

12 Magnitude of covariance terms Techniques  slope  dz/dt  dz/dt  slope d  dz/dt /d(  slope ) =Czy/Cyy correlation=C zy /(C zz C yy ) 1/2

13 Magnitude of covariance terms Techniques  slope  dz/dt  dz/dt  slope d  dz/dt /d  slope =C zy /C yy correlation=C zy /(C zz C yy ) 1/2 For most segments, there is a moderate dependence of dz/dt errors on slope errors BUT The correlation between the two is usually weak

14 DEMs provide slope estimates on a 10+ km scale Local slopes from dynamically supported topography are much larger. Can derive slope estimates from crossing tracks Evaluating slope estimates Techniques x y

15 Evaluating slope estimates Techniques Derive slopes at cross-over points Compare ascending slope, descending slope, and cross- over slope Red: slope estimates from ascending tracks Blue: slope estimates from descending tracks Purple: slope estimates from both ascending and descending tracks

16 Slope error magnitudes Techniques Derive slopes at cross-over points Compare ascending slope, descending slope, and cross- over slope Assume that the cross-over slope is correct. m/km

17 Interpret only the best models: Segments ignored if –  dz/dt > 0.2 ma -1 – RMS residual > 0.4 m OR – R 2 between dz/dt and slope > 0.5 AND –d  dz/d /d(slope) > 0.05 (m/a)/(m/km) Of the remaining points, 68% have  dz/dt < 0.06 ma -1 Cross-over analysis on dz/dt estimates is consistent with formal errors –68% of differences < 0.09 ma -1 –Implies  dz/dt ≈ 0.07 ma -1 Along-track elevation rates Errors

18 Elevation rates Results Ross embayment ice streams Lines: along track dz/dt estimates Points: dz/dt estimates at crossings

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20 Three questions I have a study site on an ICESat track. Can I find the elevation rate? Usually Will cross-track slopes confuse the elevation rate estimates? Usually not How can I know that an along-track elevation rate is accurate? When  dz/dt is small and C yz is small compared to C zz and C yy


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