## 5 Conclusions  
This research has studied the dynamics of Gross Primary Production (GPP) obtained from an eddy covariance flux tower of a Mediterranean grassland in central Spain for almost three years. While minimum temperature was limiting for growth during winter, the soil water content was the limiting factor during the rest of the year, especially in summer. It must be noted that the presence of a secondary growing season during autumn in the Mediterranean grasslands is associated with the recovery of soil water content after summer and its extension limited by the arrival of low temperatures. In this work, the estimation of the GPP of this grassland through remote sensing data and meteorological information has been carried out through the approach of the eLUE proposed by [PERSON] et al. [27]. This approach, which was originally applied to Australian savannahs, has been demonstrated to be valid for this Mediterranean grassland ecosystem. This model was initially constructed with MODIS data. In this research, MODIS data were used to compare results with those of other studies. However, the approach has been extended to the higher spatial and temporal resolution of Sentinel-2, demonstrating the ability of this satellite to improve the GPP site-specific models over Mediterranean grasslands. The NDVI has been used instead of the EVI due to it could present a higher range in values over this Mediterranean site. The inclusion of site meteorological variables (minimum temperature and soil water content) has improved the model, especially in the summer and winter periods when these factors were constraining GPP. In addition, the main wind directions must be considered when estimating the footprint of the eddy covariance tower and selecting the appropriate Sentinel-2 pixels to build the model. This study is the first step toward a model for the GPP of Mediterranean grasslands with Sentinel-2 data to make the management of these ecosystems sustainable. It would be essential to transfer these models to farmers and policymakers of these ecosystems by the calculation of the Net Primary Production and the yield of the pasture. **Author Contributions:** V.C. : Conceptualization, Methodology, Data curation, Software, Writing--original draft, Writing--review & editing. R.I.: Conceptualization, Methodology, Writing--original draft, Writing--review & editing. E.P.S.-C.: Methodology, Data curation, Software, Writing--original draft. C.R.-C.: Methodology, Writing--original draft, Writing--review & editing. C.S. : Methodology, Data curation, Software. C.Y. : Conceptualization, Writing--review & editing, Project administration, Funding acquisition. All authors have read and agreed to the published version of the manuscript. **Funding:** This research was conducted in the framework of the I+D+i Spanish National Projects PID2020-115321 RB-I00 project (LATMOS-i) and PID2020-115509 RB-I00 project (INFOLANDYN), funded by the Ministerio de Ciencia e Innovacion of Spain MCIN/AEI/10.13039/501100011033. [PERSON] was supported by a postdoctoral [PERSON] fellowship (FJC2021-046735-I) funded by the Spanish Ministerio de Ciencia e Innovacion MCIN/AEI/10.13039/501100011033 and by the European Union \(\ll\)NextGenerationEU\(\gg\)/\(\ll\)PRTR\(\gg\). [PERSON] was also supported by a predoctoral scholarship awarded by the Community of Madrid (No. IND2020/AMB-17747). [PERSON] was also supported by a predoctoral scholarship awarded by the Community of Madrid and Quasar Science Resources, S.L. (No. IND2020/AMB-17747). Data Availability Statement: Original flux tower data are freely available upon request through the GuMNet website: [[https://www.ucm.es/gumnet/data-service](https://www.ucm.es/gumnet/data-service)]([https://www.ucm.es/gumnet/data-service](https://www.ucm.es/gumnet/data-service)) (accessed on 20 September 2023). The authors would like to thank NASA and the European Space Agency (ESA) for the images provided, which were necessary for this study.