Drought Situation
In Italian Only
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- Ramona Magno
- Gli invasi di Sardegna, Sicilia e Puglia (Capitanata) contengono da 3% al 15% di acqua in meno rispetto all’omologo periodo del 2023, mentre la Basilicata presenta un lieve incremento dell’1% (vedi grafico).
- In merito ai grandi laghi del nord Italia, al 10 Febbraio 2025, presentano tutti valori di riempimento ben al di sopra della media grazie soprattutto agli apporti pluviometrici fra fine Gennaio e inizio Febbraio.
- La produzione di energia idroelettrica in Sicilia nella settimana fra il 27 Gennaio e il 2 Febbraio chiude in netta risalita rispetto allo scorso anno e anche ad altri anni quali il 2023, 2021 e 2018.
Previsioni per i prossimi mesi
Per quanto riguarda le temperature dell’aria del trimestre Marzo-Maggio 2025, i dati d’insieme dei maggiori centri europei per le previsioni a medio termine indicano valori sopra la media su tutta Europa con una probabilità dal 60 al 100%. Anche le temperature superficiali del Mar Mediterraneo dovrebbero restare al di sopra della media per tutto il trimestre con una probabilità del 70-100%. Per quanto riguarda le piogge, la previsione indica valori superiori alla media su parte della Scandinavia. Sul resto del continente i valori dovrebbero mantenersi in media o, con una probabilità fra 40% e 50%, al di sotto.- Regenerating Soil Helps Tackle Water Crisis, Experts Say
- Siccità, dall’Ue 37 milioni di aiuti all’Italia
- Siccità, Greenpeace chiede soluzioni strutturali
- Siccità, al sud dopo l’estate il 29% del territorio è in emergenza severa
- Sud Italia, siccità estrema nel 29% del territorio e invasi vuoti
- Siccità al Sud: Greenpeace e Cnr-Ibe fanno il bilancio di fine estate
Drought WebGIS
Please Note: Due to the size of the images, it is possible to download sections of the vegetation indices smaller than the whole geographic window.
Please Note: due to problems concerning the Terra MODIS satellite, the TCI and VHI indices are available until the 9th of November 2022. They will be replaced soon with new products.
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Other Services
Open data
Through CKAN and GeoServer, a complete catalog to publish data and metadata in several formats and standard protocols. Spatial data can be integrated and reused by any third-party client applications.
API REstful
The service allows the integration of any client application data from the Drought Observatory Spatial Data Infrastructure. The RESTful APIs developed are available on the GitHub platform.
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The drought is a complex phenomenon
The challenge
Increasing environmental resilience
A Scientific Proactive approach
Technical support and timely information
A frequent Phenomenon
After flooding, it is the second natural disaster that affects the population.
Long term impact
The impact on the environment and human activities can show up late and persist even after the end of the drought event.
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HIGH VARIABILITY
Its intensity and spatial extent are extremely variable.
A CREEPING PHENOMENON
With respect to other natural extreme events, drought is characterised by a slow and often difficult to define onset and a long-lasting evolution.
Drought Observatory: the reason why
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Drought monitoring and forecasting system
Integration of ground-based and satellite data
The Indices: Drought occurrences and trends
The system is based on a monitoring component and on a forecasting ones. It uses two type of indices:
- direct climate-based indices.
- indirect vegetation-based indices
A continuous Work-in-Progress
Spatial Data Infrastructure
SOA | OGC | PostgreSQL
A Service-Oriented Architecture (SOA) based on Open Geospatial Consortium (OGC) standards. Database-centred architecture, with PostgreSQL DataBase Management System.
Innovative Approach
The geographic data flows (from the download of remote sensing and climatic data to the storage of final indices) and all the related geoprocessing functions are integrated in a single environment.
Advanced Statistical Procedures
The integration of the PL/R (R Procedural Language) wrapper into the procedural language of PostgreSQL (PL/pgSQL) allowed the creation of advanced statistical procedures using R engine.