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Analysis and Evaluation of MSS Error Characteristics in Ocean Modeling

This project involves assessing and developing error characteristics of Mean Sea Surfaces (MSS) in ocean modeling by analyzing different types of errors, evaluating mesoscale variability, and comparing model differences. The collaboration between CLS, DTU, and UH aims to construct error covariance functions and investigate the impact of errors on accuracy. Key components include interpolation errors, orbit-related errors, and mapping errors due to mesoscale variability. The project also focuses on examining the coupling between errors in models and sampled MSS data. The study compares MSS data from different time periods and corrections to understand sea level change and mesoscale differences.

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Analysis and Evaluation of MSS Error Characteristics in Ocean Modeling

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  1. WP6000: ASSESSMENT AND DEVELOPMENT OF MSS ERROR CHARACTERISTICS (310H) Ole B. Andersen

  2. Overview WP leader CLS. Participation of CLS (150), DTU (120h), and UH (40). Deadline (report) – end February 2011. CLS/DTU Share the work in analysing error sources and meso scale variability. Building on the results of GUTS2 the error sources are analysed and assessed individually wrt magnitude and scale. Subsequent, error covariance functions for each error component affecting the accuracy of the Mean Sea Surfaces are constructed. UH Will evaluate the MSS error characteristics in relation with ocean modeling.

  3. Error sources to be evaluated Four types of error: Interpolation error Errors due to altimeter correction models (range + geophysical) Errors due to mesoscale variability mapping. Orbit related errors (geographical – hard to quantify)

  4. MSS difference • Same 12 y MSS (DNSC08) • Based on the different set of range + geophysical corrections • Heavily smoothed (1500 km)

  5. Similar for 6y ENVISAT – now tides (upper) and DAC (lower) becomes problematic Evaluate the coupling between errors in models and error in sampled MSS. Take ”Difference between models” as indicator of error in models.

  6. Error Sources / Model differences Six years of T/P sampling of different corrections (wet+dry up, iono+inv, tide+SSB) This is representative for CLS01/CLS10 (7 years), but not for DTU10 (17 years)

  7. Meso Scale Variability / Sea Level Change Mesoscale Difference: 7 y vs 12 years Accounted for Linear SL rise CLS01 vs DNSC08

  8. DTU10 versus DNSC08 • Major differences • 2 cm from DAC • Pressure (1013 IB v. • 1011.4 mBar MOG-2D • 1 cm from SL Rise. • Arctic difference from • Including more ICESAT

  9. Work in start up phase.

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