Such works, hopefully published soon in 2026, are fostered by the Gov4Water project (lnkd.in/eueGmF5F), in which Umbria region is one of the focus areas.

More details soon!

Within the region, it is located the 4th Italian Lake by extension, the Trasimeno Lake. It suffers from strong seasonal fluctuations and an overall progressive reduction of its level. We asked ourselves how the lake could evolve by the end of the century under CMIP6 climate #projections (↘️ right).

We carried out a comprehensive comparison between long-term, #satellite-based #irrigation #water use datasets (released under the @esa.int CCI-AWU project, lnkd.in/dUinZN6H) and estimates from #global #hydrological #models.
🌍 Areas: CONUS, India, Ebro (Spain) and Murray-Darling (Australia) basins

🎯 The objective? To showcase and quantify the persuasive power of awareness-raising actions on household #water consumption.
The paper has just been accepted, more details soon

This time we wrote a paper different from the usual ones, describing an experiment designed by Renato Morbidelli and targeting a sample from the population of our university - Università degli Studi di Perugia.
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This work wants to bridge the gap from monitoring #irrigation dynamics for understanding the human impacts on the water cycle to support agricultural #water management strategies. Usual scales of interest for water allocation managers and a very fine sampling (10 m) are considered.

The scientific paper is available at: lnkd.in/dmQpfrUu

Its exciting aim is to develop a high-resolution (1 km) satellite-based IWU data set at the European scale. To do this, the SM-based inversion approach (lnkd.in/dBmzbcr8) will be implemented operationally to estimate IWU with a short latency.
Stay tuned for updates!

The activity is an output of the Tethys Plus project, supported by the E.U.- PR FESR Regione Lazio. Stay tuned for more information!

Performances in reconstructing irrigation dynamics have been assessed at different scales of interest for #water allocation managers, i.e., from the consortium level to the farm and single field ones.

We applied the SM-based inversion approach (lnkd.in/d9jUtghB) for #irrigation #quantification and the TSIMAP method ( lnkd.in/dhbuabGB) for irrigation #mapping at the unprecedent sampling of 10 m.

Grazie Giulio!

Thanks for sharing!!

The proposed framework merges benefits of analytical and water-balance-based approaches. More interesting, soil hydraulic parameters are calibrated using #rainfall as a target observation, more readily available than groundwater-related information.