Development of HYPER-P: HYdroclimatic PERformance-enhanced Precipitation at 1&thinsp;km/daily over the Europe-Mediterranean region from 2007 to 2022

Filippucci, Paolo; Brocca, Luca; Ciabatta, Luca; Mosaffa, Hamidreza; Avanzi, Francesco; Massari, Christian

doi:https://doi.org/10.5194/essd-17-5221-2025

Articles | Volume 17, issue 10

https://doi.org/10.5194/essd-17-5221-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-5221-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 10

Data description paper

|

10 Oct 2025

Data description paper |

| 10 Oct 2025

Development of HYPER-P: HYdroclimatic PERformance-enhanced Precipitation at 1 km/daily over the Europe-Mediterranean region from 2007 to 2022

Paolo Filippucci, Luca Brocca, Luca Ciabatta, Hamidreza Mosaffa, Francesco Avanzi, and Christian Massari

Data sets

4DMED precipitation product: 1 km merged precipitation from CPC, IMERG-LR for mediterranean basin P. Filippucci et al. https://doi.org/10.5281/zenodo.15025397

4DMED precipitation product: 1 km merged precipitation from CPC, IMERG-LR and SM2RAIN-ASCAT for mediterranean basin P. Filippucci et al. https://doi.org/10.5281/zenodo.10402392

4DHydro precipitation product: 1 km merged precipitation from IMERG-LR and SM2RAIN-ASCAT for Europe P. Filippucci et al. https://doi.org/10.5281/zenodo.15025462

4DHydro precipitation product: 1 km merged precipitation from ERA5-Land, IMERG-LR and SM2RAIN-ASCAT for Europe/HYPER-P: HYdroclimatic PERformance-enhanced Precipitation at 1 km/daily over the Europe region from 2007 to 2022 P. Filippucci et al. https://doi.org/10.5281/zenodo.15025514

Short summary

Accurate rainfall data is essential, yet measuring daily precipitation worldwide is challenging. This research presents HYdroclimatic PERformance-enhanced Precipitation (HYPER-P), a dataset combining satellite, ground, and reanalysis data to estimate precipitation at a 1 km scale from 2000 to 2022. HYPER-P improves accuracy, especially in areas with few rain gauges. This dataset supports scientists and decision-makers in understanding and managing water resources more effectively.