presentation 1
Download
Report
Transcript presentation 1
DESIGN GUIDELINE FOR A CLIMATE
PROJECTION DATA BASE AND SPECIFIC
CLIMATE INDICES FOR ROADS: CLIPDAR
Matulla, Christoph*
Central Institute for Meteorology and Geodynamics, Austria
Namyslo, Joachim**
Andre, Konrad
Chimani, Barbara
German National Meteorological Service, Germany
Central Institute for Meteorology and Geodynamics, Austria
Central Institute for Meteorology and Geodynamics, Austria
* [email protected]
STS 49
** [email protected]
TRA2014 Paris 14‒17 avril 2014
Structure of the presentation
Introduction
Data and Methods
Results
Outlook
STS 49
First author’s
Matulla
et al. name
Please
insert
here your
affiliation
logo
+
TRA2014 Paris 14‒17 avril 2014
2
Data and Methods
Please
insert
here your
affiliation
logo
Regional scale past &
climate change projections
17 members (A1B)
• temperature, precipitation
Continental scale past &
climate change projections
8 members A1B, A2
• temperature 850hPa
Cause Effect Tensor: CET2
& Climate Indices: CIs
STS 49
First author’s
Matulla
et al. name
CET2:
CIs→Assets
TRA2014 Paris 14‒17 avril 2014
3
Possible future of cold winters
in Fennoscandia
Please
insert
here your
affiliation
logo
• Select coldest past seasons
• Apply an EOF analysis to
continental past data
• Calculate the first future time
coefficient
• Compare the near and far future
time coefficient to the past
STS 49
First author’s
Matulla
et al. name
TRA2014 Paris 14‒17 avril 2014
4
Possible future of hot summers
in the Iberian Peninsula
Please
insert
here your
affiliation
logo
• Select hottest past seasons
• Apply an EOF analysis to
continental past data
• Calculate the first future time
coefficient
• Compare the near and far future
time coefficient to the past
STS 49
First author’s
Matulla
et al. name
TRA2014 Paris 14‒17 avril 2014
5
Cold index days
in Central Europe
Climate indices (CIs)
• CI (frost days): Tmin<0°C
• CI (ice days): Tmax<0°C
• Compare the
far future (2071‒2100)
to past (1961‒1990)
conditions
Please
insert
here your
affiliation
logo
Frostdays
daysTmin < 0°C
Icedays
daysTmax < 0°C
STS 49
First author’s
Matulla
et al. name
TRA2014 Paris 14‒17 avril 2014
6
Warm index days
in Central Europe
Climate indices (CIs)
• CI (summer days): Tmax≥25°C
• CI (hot days): Tmax ≥ 30°C
• Compare the
far future (2071‒2100)
to past (1961‒1990)
conditions
Please
insert
here your
affiliation
logo
Summerdays
daysTmax ≥ 25°C
Hotdays
daysTmax ≥ 30°C
STS 49
First author’s
Matulla
et al. name
TRA2014 Paris 14‒17 avril 2014
7
Potential rutting days in
Central Europe
Climate indices (CIs)
• CI (hot days and tropical
nights): Tmax≥30°C and Tnight,min>20°C
• Compare the near
(2021‒2050) and
far (2071‒2100) future
to the past (1961‒1990)
conditions
STS 49
First author’s
Matulla
et al. name
Please
insert
here your
affiliation
logo
Near future (2021‒2050)
Far future (2071‒2100)
TRA2014 Paris 14‒17 avril 2014
8
Potential “landslides” in
Central Europe
Climate indices (CIs)
Please
insert
here your
affiliation
logo
Near future (2021‒2050)
• CI (mass movement day):
Pday>25.6 mm and P3day>37.3 mm
• Compare the near
(2021‒2050) and far
(2071‒2100) future to the
past (1961‒1990) conditions
STS 49
First author’s
Matulla
et al. name
Far future (2071‒2100)
TRA2014 Paris 14‒17 avril 2014
9
Design Guideline - principles
Please
insert
here your
affiliation
logo
Ensemble Approach (make ensemble statistics)
Ensemble building: consider model diversity,
many members (enable 15th/85th Percentiles)
Downscaling (proposal) =
= statistical regionalization + bias correction
Internal climate variability: Averaging of climate
projection data (periods of 30 y, at least 10 y)
Use preferably simple impact models
(otherwise: only a case study may be possible)
…
STS 49
First author’s
Matulla
et al. name
TRA2014 Paris 14‒17 avril 2014
10
Outlook
Please
insert
here your
affiliation
logo
Enlarge the region stepwise by consistently
including further European countries
Use new scenarios (RCPs of EURO-CORDEX)
Avoid the mixing of datasets
Ensure highest quality of data – no breaks
along borders
Include air traffic and railway transport
Expand the analysis to further CIs
(e.g. damage of bridges, water to street level)
STS 49
First author’s
Matulla
et al. name
TRA2014 Paris 14‒17 avril 2014
11
Acknowledgements:
• BMVBS/German Joint Research Programme KLIWAS:
Impacts of climate change on Waterways
and navigation - Searching for options of adaptation
THANK YOU FOR YOUR ATTENTION!
• Autobahnen- und Schnellstrassen-Finanzierungs- AG
• Federal Ministry of Transport, Innovation and Technology
of the
‒ The CliPDaR
team ‒
Republic of Austria
• German Federal Highway Research Institute
STS 49
TRA2014 Paris 14‒17 avril 2014