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TASKS AND EXPECTED RESULTS



Task 1: Data acquisition and management on lightning data and related surface features

Expected results:
i – To construct different lightning datasets (in a GIS) allowing its quantitative analysis and geospatial analysis (outputs to Task 2 and Task 3)
ii – To construct different datasets/layers of surface characters (in a GIS) allowing its quantitative and geospatial analysis (outputs to Task 3)


Task 2: Spatial and temporal variability patterns of lightning activity in Portugal

Expected results:
- to define a catalogue of thunderstorm days in Portugal (June 2002-2008), based on lightning data
- to describe the main temporal regimes of thunderstorm activity in Portugal
- to evaluate the main spatial contrasts of lightning activity over the Portuguese territory
- to obtain classification of thunderstorm days according a typology (e.g. local, multi-local, widespread) based on lightning spatial features.

Task 3 – Effects of surface features on lightning activity

Expected results:
- identification and hierachisation of the major effects of surface features on lightning activity in Portugal
- to evaluate the role of surface turbulent heat fluxes to trigger convection with effects on lightning activity in (mesoscale) selected areas.
- to test the hypothesis of urban/polluted areas affecting lightning activity patterns (Lisbon region).


Task 4: Atmospheric environment of thunderstorm events in Portugal

Expected results:
- to identify the main large scale circulation types associated with thunderstorm occurrence in Portugal
- to evaluate the ability of a RCM (BRAMS) to predict thunderstorms in Portugal
- to simulate selected thunderstorm events by running a RCM model (BRAMS)
- to assess the synoptic circulations and thermodynamic conditions associated with thunderstorms in the Lisbon region
- to classify the most intense storms affecting the Portuguese area, according to its related convective phenomena (2002-2008). 

Task 5 – Socioeconomic impacts of lightning activity in Portugal

The expected results of this task will serve to build databases and maps showing when and where damage occurs. This essential component of the final research product can be applied to: i) building knowledge bases that can support policy decisions that local authorities need to make; ii) increasing public security and the safety of communities during severe weather conditions; iii) advising land managers of what might trigger wildfires; iv) giving guidelines to protect better electrical and transportation systems, and other economic activities.