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COST-733 WG4 The EU-WATCH project and links between WB4 and COST-733 Christel Prudhomme. WATCH Overview. WATer and global CHange (WATCH). WATCH WB4. WP4 : extremes scales of hydrological events. WP4.1 Detection and attribution of extremes in the 20th century
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COST-733 WG4 The EU-WATCH project and links between WB4 and COST-733Christel Prudhomme
WATCH Overview WATer and global CHange (WATCH)
WATCH WB4 WP4 : extremes scales of hydrological events • WP4.1 Detection and attribution of extremes in the 20th century • historical droughts and large-scale floods in the 20th century • analysis and characterisation of those extremes • WP4.2 Indices and tools to detect extremes and to assess uncertainty propagation • development of indices and tools to detect hydrological extremes • assess the uncertainty in the predicted extremes. • WP4.3 Likely frequency, severity and scale of future hydrological extremes (21st century) • analysis of drought and large-scale floods based on the global and regional scenarios for the 21st century (WB3) • comparison with the simulations for the 20th century.
WATCH WB4 • Task 4.1.3 ‘ Investigate processes and phenomena of major floods in 20th century’ • Task 4.1.4 ‘Spatial and temporal scales and severity of floods in 20th century • Task 4.1.6 ‘Large-scale climate drivers and drought and flood patterns • Flood catalogue • Antecedent conditions: e.g. soil moisture, rainfall; weather types • Are GCMs able to reproduce flood-generating rainfall patterns? • Are large floods in Europe linked to specific weather types • Are flood-generating weather types well reproduced by GCMs?
Understanding large scale antecedent conditions • Weather Types/ Classifications from COST • A priori, all classifications • At present only for Europe: D00 • For each large flood events • Frequency of weather type : preceding day(s) • “ : preceding weeks • Frequency anomaly (i.e. is situation exceptional?) • Blocking situation – blocking catalogue? • Systematic occurrence of some WT ? • Synoptic situation (from ERA-40?) • Analysis of WT a-priory linked to large floods, but that did not trigger extreme events: How often? Why?
Reproduction of antecedent conditions by GCMs • Using Weather Types/ Classifications codes from COST • In priority for classifications showing good links with large floods • Generate classifications from GCM runs of 20th century • Evaluate results against classifications from re-analysis/CRU • Frequency of Weather Type (monthly/seasonal/annual) • In particular, WT linked to large floods • Frequency of Blocking situation • Feed back systematic errors to WG1 (20th century GCM simulation)
After 18th month from now • Area of interest outside Europe • Application of classifications to future projections from GCM • Changes in frequency of WT • Potential implication for change of frequency in large floods
Advise on … • …Best reference set: ERA-40? – but known deficiencies, e.g. rainfall • …CRU climatology, but not all atmospheric variables? • …What else?