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Advances in Remote Sensing and Data Analysis: Insights from Bonn and Cologne Seminar

This document summarizes the presentations and projects discussed during the Diplomanden-Doktoranden-Seminar held in Bonn and now Cologne on July 9, 2007. Key topics covered include the necessity of understanding curvature terms for the Coriolis force, advancements in global soil moisture field calculations using AMSR data, and validation studies involving layered precipitable water. Various projects addressing error covariances in satellite retrievals, Kriging methods, and detailed soil temperature modeling were explored, highlighting significant findings and ongoing challenges in the field.

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Advances in Remote Sensing and Data Analysis: Insights from Bonn and Cologne Seminar

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  1. My_Summer_Term_Work Ralf Lindau Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  2. Projects & Studies I • Of course teaching ( 0 k€) • Do students need to know about Curvature Terms to understand the Coriolis force? • Geoland (100 k€) • Calculation of global soil moisture fields from AMSR • End of project 31.03.2007 • Final report (financial & scientific) • GRAS-CMSAF-SAF Study ( 25 k€) • Validation of Layered Precipitable Water from Champ (GRAS-SAF) and ATOVS (CM-SAF) by radiosondes • Report delivered, but pending because of suspicious biases in CMSAF retrieval Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  3. Projects & Studies II • OMDI III and IV ( 36 k€) • Proposal for a future study (1. Dec 2007 to 30. June 2008) about error covariances of satellite retrievals • Advantages of Iterative Lindau Kriging compared to ordinary Block Kriging • LandCaRe (166 k€) • Stand-alone runs of TERRA on 2.8 km resolution driven by 18-km LM-Consortial runs Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  4. Susp.TPW bias of ATOVS - 0.82 mm - 3 % + 7.08 mm + 27 % No NCEP + 3.67 mm + 14 % The bias using GME as first guess (standard) vanishes for „No first guess“ and is doubled, if NCEP is used. GME Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  5. Error Covariance D = ((x1 + Dx1) – (x2 + Dx2))2 D = 2 Var – 2 Cov + Err1 + Err2 - 2 ErrCov Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  6. Error Covariance D = ((x1 + Dx1) – (x2 + Dx2))2 D = 2 Var – 2 Cov + Err1 + Err2 - 2 ErrCov S = (x1 + Dx1)2 + (x2 + Dx2)2 S = 2 Var + Err1 + Err2 Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  7. Error Covariance D = ((x1 + Dx1) – (x2 + Dx2))2 D = 2 Var – 2 Cov + Err1 + Err2 - 2 ErrCov S = (x1 + Dx1)2 + (x2 + Dx2)2 S = 2 Var + Err1 + Err2 S – D = 2 Cov + 2 ErrCov Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  8. Negative Kriging weights Kriging is solving this matrix: Kriging error is: Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  9. LandCaRe 2020 TERRA stand-alone Resolution 0.025° (2.8 km) 250 x 300 grid points Reality/Computation factor 60 20 years: 4 months Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  10. Soil Temperature After 6 days (2.5 hours computing time) the course initial resolution is partly downscaled Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

  11. Uckermark If the domain is reduced to 1° by 1°, (approx. area of Uckermark and Weisseritz county): Reality/Computation factor: 3000 20 years: 60 h Soil Temp, 1. Nov Land-sea mask Soil Temp, 1. Feb Diplomanden-Doktoranden-Seminar Bonn, now Cologne – 9. July 2007

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