Automated Author ProfilePerrot, Xavier
LMD/IPSL laboratory, ENS, F-75005 PARIS
Perrot, Xavier
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Users of satellite Sea Surface Salinity products stress the importance of temporal and spatial resolution for the study of processes especially in river plumes.The Ocean Salinity Center of Expertise for CATDS (CATDS CEC-OS) has derived a new methodology aiming at keeping high temporal SMOS and SMAP SSS variability in highly variable regions while filtering outliers in low variability regions.As for the global 18-day CATDS CEC products, the high resolution (HR) products are built using a temporal interpolation, grid node per grid node. This interpolation is done simultaneously with the estimation of the across-track SSS biases [Boutin et al., 2018]. The main change with respect to the global CEC CATDS products comes from the different kernel used for the temporal smoothing.The use of an exponential kernel for the temporal smoothing allows: - an improvement of the spatial contrasts either on the SMOS period alone or on the SMOS + SMAP period on almost all considered regional areas. - a better restitution of the temporal dynamics for the low SSS at the mouths of the river plumesThere is a substantial gain in the correlation indicators with the In Situ data in the SMOS+SMAP period with an exponential core.Overall, there is no noise degradation with the HR products.Moreover, there is a suppression of certain orbit "lineages" with the use of an exponential kernel.This version 0 of the products are delivered in 8 regions.Feedbacks from users about the quality of these new experimental products are very welcome and essential for the CATDS expertise center to improve future versions.A detailed description is described on https://data.catds.fr/cecos-locean/Ocean_products/HIGH_RESOLUTION_8_REGIONS/documentation/Doc_High_Resolution_8_Regions.pdf.
Authors
- Boutin, Jacqueline ;
- Vergely, Jean-Luc ;
- Olivier, Léa ;
- Reverdin, Gilles ;
- Perrot, Xavier ;
- Thouvenin-Masson, Clovis