Automated Author ProfileAmblar, Pilar
Agencia Estatal de Meteorología
Amblar, Pilar
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: 6.6 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
CLIMPY (Characterisation of the evolution of climate and provision of information for adaptation in the Pyrenees) is a transboundary project that aimed to perform a detailed analysis of recent trends in temperature, precipitation and snow cover in the Pyrenees, and their future projection. The three files provided contain daily precipitation and maximum and minimum temperature in a high-resolution gridded dataset of 1x1 km spatial resolution for the 1981-2015 period. Daily estimates for each grid point were computed from the raw data of 1,343 stations located in Spain, France and Andorra, provided by national and regional meteorological services. 7 institutions worked together (University of Zaragoza (UNIZAR), Servei Meteorològic de Catalunya (SMC), Andorran Research Institut (IEA-CENMA), Instituto Pirenaico de Ecología (IPE-CSIC), Centre d’Études Spatiales (CESBIO), Agencia Estatal de Meteorología (AEMET), Météo-France (MF)) using the daily precipitation and temperature reconstruction (quality control, reconstruction and gridding) from Serrano-Notivoli et al. (2017 and 2019) (https://doi.org/10.5194/essd-9-721-2017 and https://doi.org/10.5194/essd-11-1171-2019).
Authors
- Cuadrat, José María ;
- Serrano-Notivoli, Roberto ;
- Tejedor, Ernesto ;
- Saz, Miguel Ángel ;
- Prohom, Marc ;
- Cunillera, Jordi ;
- Llabrés, Alba ;
- Trapero, Laura ;
- Pons, Marc ;
- López-Moreno, Juan Ignacio ;
- Copons, Ramon ;
- Gascoin, Simon ;
- Luna, Yolanda ;
- Rodríguez, Ernesto ;
- Ramos, Petra ;
- Amblar, Pilar ;
- Soubeyroux, Jean-Michel