SlideServe
Télécharger Obtenir Pro
Menu
Accueil Pro
Préférences
ApparenceLight Aide et commentaires
© SlideServe · v2026

Assessment & Development of MSS Error Characteristics

heek avatar
heek
9 diapositives · 115 Views · Jan 05, 2020

This project aims to analyze and assess the error characteristics of Mean Sea Surfaces (MSS) in relation to different error sources and meso-scale variability. The project will construct error covariance functions for each error component and evaluate the coupling between errors in models and error in sampled MSS. The study will focus on four types of error sources: interpolation error, errors due to altimeter correction models, errors due to mesoscale variability mapping, and orbit-related errors. The project involves the participation of CLS, DTU, and UH and is expected to be completed by the end of February 2011.

#assessment & development of mss error characteristics #assessment & development of mss error characteristics ppt #powerpoint #presentation
Assessment & Development of MSS Error Characteristics - slide 1
01 / 9Assessment & Development of MSS Error Characteristics
1 / 17

Télécharger la présentation

Assessment & Development of MSS Error Characteristics
Une image / un lien ci-dessous est fourni (tel quel) pour télécharger la présentation

Politique de téléchargement : le contenu du site vous est fourni TEL QUEL pour votre information et votre usage personnel ; il ne peut être vendu, concédé sous licence ni partagé sur d’autres sites sans l’accord de son auteur.Le contenu vous est fourni TEL QUEL, pour votre information et votre usage personnel uniquement. Téléchargez la présentation en cliquant sur ce lien. Lors du téléchargement, si vous ne parvenez pas à télécharger une présentation, l’éditeur a peut-être supprimé le fichier de son serveur.Pendant le téléchargement, si vous ne parvenez pas à obtenir une présentation, le fichier a peut-être été supprimé par l’éditeur.

F I N

Plus de contenu associé

Transcription de la présentation

  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.