1. AS REPRESENTED BY HIGH RESOLUTION CMCC CLIMATE MODELS
EXTREME EVENTS
AS REPRESENTED BY HIGH RESOLUTION
CMCC CLIMATE MODELS
AT GLOBAL AND REGIONAL (Euro-Mediterranean) SCALE
Antonella Sanna(2), E. Scoccimarro(1), S. Gualdi(1,2), A. Bellucci(2), M. Montesarchio(2), E. Bucchignani(2,3), A. Navarra(1,2)
(1)INGV - Istituto Nazionale di Geofisica e Vulcanologia (National Institute for Geophysics and Volcanology), Bologna, Italy
(2)CMCC - Centro Euro-Mediterraneo per i Cambiamenti Climatici (Euro-Mediterranean Centre for Climate Change), Bologna, Italy
(3)CIRA - Centro Italiano Ricerche Aerospaziali
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2. STRUCTURE OF PRESENTATION
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STRUCTURE OF PRESENTATION
Brief models description
Indexes definition
Examples of results
Model verification 1

3. MODELS DESCRIPTION “International Conference
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MODELS DESCRIPTION 2

4. CLIMATE MODELS AT CMCC: the global model
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CLIMATE MODELS AT CMCC: the global model
GLOBAL ATMOSPHERE MODEL (historical+sresa1b prescribed gases and aerosols)
ECHAM5 T159 ~ 80 km and 31 vert. levels
Roeckner et al. (2003)
Heat, Water and Momentum Flux
Heat, Water and Momentum Flux
SST and Sea-ice
SST
COUPLER
OASIS 3
Valcke (2006)
GLOBAL OCEAN
& SEA-ICE MODEL
OPA/ORCA2 2º ~200 km
31 vert, levels
Madec et al. (1998)
LOUVAIN-LA-NEUVE
SEA- ICE MODEL
Timmermann et al. (2005)
MEDITERRANEAN
SEA MODEL
NEMO/MFS 1/16° ~ 7 km
71 vert. levels
Oddo et al. (2009)
T, S,u, v, η
Coupling between atmosphere and oceans every 2 hours
Coupling between global ocean and Mediterranean Sea every 8 hours 3

5. CLIMATE MODELS AT CMCC: the regional model
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CLIMATE MODELS AT CMCC: the regional model
CMCC-CLM Regional Climate Model (RCM) domain. The horizontal resolution is 14 km. The simulation is forced using 6 hourly data from CMCC-MED over period. 4

6. DATA AVAILABILITY Global model (T159, 2ox2o, 1/16°)
Regional model ~ 14 km
Both climate model simulations cover the period 5

7. INDEXES FOR EXTREME EVENTS CHARACTERIZATION
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INDEXES FOR EXTREME EVENTS CHARACTERIZATION 6

8. “International Conference
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TEMPERATURE INDEXES:
5th Percentile of the daily minimum temperature: TN5P
10th Percentile of the daily minimum temperature: TN10P
95th Percentile of the daily minimum temperature: TN95P
90th Percentile of the daily minimum temperature: TN90P
Seasonal average of minimum daily temperature: MEANTN
5th Percentile of the daily maximum temperature: TX5P
10th Percentile of the daily maximum temperature: TX10P
95th Percentile of the daily maximum temperature: TX95P
90th Percentile of the daily maximum temperature: TX90P
Seasonal average of maximum daily temperature: MEANTX
Total number of consecutive days with maximum daily
temperature exceeding the long term ( )
90th percentile: WSDI90
Total number of consecutive days with minimum daily
temperature is below the long term ( )
10th percentile: CSDI10 7

9. PRECIPITATION INDEXES:
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PRECIPITATION INDEXES:
95th Percentile of the total daily precipitation: PREC95P
90th Percentile of the total daily precipitation: PREC90P
5th Percentile of the total daily precipitation: PREC5P
10th Percentile of the total daily precipitation: PREC10P
Number of days with daily precipitation exceeding
the long term ( ) 90th percentile : R90N
the long term ( ) 95th percentile : R95N
Number of days with daily precipitation lower than
the long term ( ) 10th percentile : RL10N
the long term ( ) 5th percentile : RL5N
Averaged daily precipitation over wet days
(wet day defined if precipitation is >= 1[mm/day]): SDII
Maximum (not total) number of consecutive dry days
(dry day defined if precipitation is < 1 [mm/day]): CDD 8

10. WIND INDEXES: 95th Percentile of the 10 meter wind speed: WI95P
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WIND INDEXES:
95th Percentile of the 10 meter wind speed: WI95P
90th Percentile of the 10 meter wind speed: WI90P
Number of days with daily wind speed exceeding
the long term ( ) 90th percentile : WI90N
the long term ( ) 95th percentile : WI95N
95th Percentile of the 10 meter maximum wind speed: WIMAX95P
90th Percentile of the 10 meter maximum wind speed: WIMAX90P
Number of days with maximum wind speed exceeding
the long term ( ) 90th percentile : WIMAX90N
the long term ( ) 95th percentile : WIMAX95N 9

11. EXAMPLES OF RESULTS “International Conference
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EXAMPLES OF RESULTS
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12. Example: CMCC global model TX90P and trends SUMMER SEASON
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Example: CMCC global model TX90P and trends SUMMER SEASON
1111

13. Example: CMCC global model PREC10P and trends SUMMER SEASON
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Example: CMCC global model PREC10P and trends SUMMER SEASON
1212

14. Example: CMCC global model WI90P and trends SUMMER SEASON
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Example: CMCC global model WI90P and trends SUMMER SEASON
1313

15. Example: CMCC global model WI90N and trends SUMMER SEASON
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Example: CMCC global model WI90N and trends SUMMER SEASON
1414

16. MODEL VERIFICATION “International Conference
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MODEL VERIFICATION
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17. OBSERVATIONAL DATASET: SPAIN02
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OBSERVATIONAL DATASET: SPAIN02
Spain02 is a new high-resolution daily precipitation and maximum and minimum temperatures gridded dataset developed for peninsular Spain and the Balearic islands. A dense network of ~2500 quality-controlled stations (~250 for temperatures) from the Spanish Meteorological Agency (AEMET) was selected to build the Spain02 grid with a regular 0.2º (aprox. 20 km) horizonal resolution spanning the period from 1950 to The gridding methodology used for precipitation is based on a two step kriging approach (binary for precipitation outcomes, and ordinary for amounts); in the case of temperatures, thin plane splines are fitted to the monthly data considering the orography (elevation) and an ordinary kriging was later applied to the residuals.
1616

18. PREC90P: DJF 1971-2000 “International Conference
on Fire Behavior and Risk”
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PREC90P: DJF
1717

19. PREC90P: JJA 1971-2000 “International Conference
on Fire Behavior and Risk”
Alghero, 5 October 2011
PREC90P: JJA
1818

20. PREC10P: DJF 1971-2000 “International Conference
on Fire Behavior and Risk”
Alghero, 5 October 2011
PREC10P: DJF
1919

21. PREC10P: JJA 1971-2000 “International Conference
on Fire Behavior and Risk”
Alghero, 5 October 2011
PREC10P: JJA
2020

22. TX90P: DJF 1971-2000 “International Conference
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TX90P: DJF
2121

23. TX90P: JJA 1971-2000 “International Conference
on Fire Behavior and Risk”
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TX90P: JJA
2222

24. TN10P: DJF 1971-2000 “International Conference
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TN10P: DJF
2323

25. TN10P: JJA 1971-2000 “International Conference
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TN10P: JJA
2424

26. The authors thank AEMET and UC for the data provided for this work (Spain02 dataset)
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