FN Archimer Export Format
PT J
TI Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods
BT 
AF Benkiran, Mounir
   Ruggiero, Giovanni
   Greiner, Eric
   LE TRAON, Pierre-Yves
   Remy, Elisabeth
   Lellouche, Jean-Michel
   Bourdallé-Badie, Romain
   Drillet, Yann
   Tchonang, Babette
AS 1:1;2:1;3:2;4:1,3;5:1;6:1;7:1;8:1;9:1;
FF 1:;2:;3:;4:PDG-ODE;5:;6:;7:;8:;9:;
C1 Mercator Ocean International, Ramonville-Saint-Agne, France
   Collecte Localisation Satellites, Ramonville-Saint-Agne, France
   Laboratoire Géodynamique et Enregistrements Sédimentaires, Institut Français de Recherche pour l’Exploitation de la Mer, Plouzané, France
C2 MERCATOR OCEAN, FRANCE
   CLS, FRANCE
   IFREMER, FRANCE
SI MERCATOR
SE PDG-ODE
IN WOS Ifremer UPR
   DOAJ
   copubli-france
IF 5.247
TC 9
UR https://archimer.ifremer.fr/doc/00706/81787/86521.pdf
   https://archimer.ifremer.fr/doc/00706/81787/86522.jpeg
LA English
DT Article
DE ;data assimilation;satellite altimetry;OSSE (Observing System Simulation Experiment);SWOT (Surface Water Ocean Topography);forecasting system
AB The future Surface Water Ocean Topography (SWOT) mission due to be launched in 2022 will extend the capability of existing nadir altimeters to enable two-dimensional mapping at a much higher effective resolution. A significant challenge will be to assimilate this kind of data in high-resolution models. In this context, Observing System Simulation Experiments (OSSEs) have been performed to assess the impact of SWOT on the Mercator Ocean and Copernicus Marine Environment Monitoring Service (CMEMS) global, high-resolution analysis and forecasting system. This paper focusses on the design of these OSSEs, in terms of simulated observations and assimilation systems (ocean model and data assimilation schemes). The main results are discussed in a companion paper. Two main updates of the current Mercator Ocean data assimilation scheme have been made to improve the assimilation of information from SWOT data. The first one is related to a different parametrisation of the model error covariance, and the second to the use of a four-dimensional (4D) version of the data assimilation scheme. These improvements are described in detail and their contribution is quantified. The Nature Run (NR) used to represent the “truth ocean” is validated by comparing it with altimeter observations, and is then used to simulate pseudo-observations required for the OSSEs. Finally, the design of the OSSEs is evaluated by ensuring that the differences between the assimilation system and the NR are statistically consistent with the misfits between real ocean observations and real-time operational systems. 
PY 2021
PD JUN
SO Frontiers In Marine Science
SN 2296-7745
PU Frontiers Media
VL 8
UT 000689507300001
DI 10.3389/fmars.2021.691955
ID 81787
ER

EF