DATA PRODUCTION

Climate impact indicators
Global essential climate variables/indicators used

One high-resolution (10min / 5km) RCM projection from JMA's Meteorological Research Institute
CMIP5 GCMs projections from the Climate Data Store

Regional/local indicators used and produced

Rainfall Intensity-Duration-Frequency (IDF) curves  and design rainfalls
Inundation depth variations

Global data to regional/local scale

Step 1: Data collection: compilation of rainfall data from long-term historical observations, a high-resolution RCM projection and several GCM projections from the Climate Data Store

Step 2: Empirical analysis: investigation of how differences in rainfall extremes between two climatological periods at daily resolution are related to corresponding changes at shorter durations.

Step 3: RCM/GCM evaluation: evaluation of short-duration rainfall extremes in terms of e.g. Rainfall Intensity-Duration-Frequency (IDF) statistics in RCM and GCM projections for historical and future periods.

Step 4: Flood risk assessment: local flood risk impact modelling (reference simulations) and evaluation in terms of e.g. inundation depth and frequency, and comparison with corresponding results from the Climate Data Store.

Step 5: Adaptation support: performance evaluation of a “hard measure” (underground reservoir) to reduce future flood risk, for decision support.

Step 6: Outreach: development of an Interactive Climate Atlas and external  presentations.

  
Department of Civil and Environmental Engineering, Tokyo Metropolitan University (TMU)

 


Civil Engineering Support and Training CenterBureau of Construction of Tokyo Metropolitan Government

Poster displayed at the Kick–Off meeting, 7/8 September 2017, Norrköping, Sweden

Distribution of times for hourly rainfall of 50 mm