EMULATE
This reporting period relates primarily to the EMULATE measurable objectives 2 to 4. Initial achievements for all three objectives were briefly reported upon earlier. 2: Derive a set of characteristic atmospheric circulation patterns, and study their variations and trends for each season 3: Relate v...
| Other Authors: | |
|---|---|
| Format: | Text |
| Language: | English |
| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.511.596 http://www.cru.uea.ac.uk/projects/emulate/finalreport/EMULATE_final_S2.pdf |
| Summary: | This reporting period relates primarily to the EMULATE measurable objectives 2 to 4. Initial achievements for all three objectives were briefly reported upon earlier. 2: Derive a set of characteristic atmospheric circulation patterns, and study their variations and trends for each season 3: Relate variations and trends in atmospheric circulation and associated surface climate variability over Europe to sea surface temperature patterns, particularly from the North Atlantic 4: Relate variations and trends in atmospheric circulation patterns to prominent extremes in temperature and precipitation Scientific achievements: Using the daily MSLP dataset developed earlier [Objective 1 for the area (25ºN to 70ºN; 70ºW to 50ºE on a 5º by 5º grid spacing) from 1850], EMULATE has used three different methods of classifying all days into objective circulation types. The results of all three methods are available on the project website, but the most advantageous one appears to be that using Simulated Annealing. This is due to the method producing different counts of days in the various types, unlike traditional clustering which tends to give similar totals for each type. With the emphasis on extremes (later in |
|---|