Regional climate projections for NSW
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1 Regional climate projections for NSW Dr Jason Evans
2 Climate Change Projections Global Climate Models (GCMs) are the primary tools to project future climate change CSIROs Climate Change in Australia UNSW/DECCW projections Do you need higher spatial resolution? Downscaled climate projections for NSW Statistical downscaling Analogue technique (Timbal et al) Stochastic Weather Generator (Liu et al) Dynamical downscaling NARCliM project
3 GCM Projected Changes
4 GCM Projected Changes
5 GCM Simulations
6 GCM Projected Changes
7 CSIROs Climate Change in Australia
8 CSIROs Climate Change in Australia
9 CSIROs Climate Change in Australia
10 UNSW/DECCW projections Prof. Andy Pitman et al. Combined four GCMs to produce an ensemble projection of climate change for NSW Some GCMs are better than others at regional scales GCMs not spatially detailed enough to have confidence in changes occurring in areas smaller than ~1/4 of NSW
![[A2]](/docs-images/74/70358951/images/11-2.jpg "spring")
11 Rainfall to 2050 [A2] spring autumn summer winter
12 Temperature (to 2050, A2) Spring +2.0oC to +2.5oC Summer +1.0oC to +1.5oC Spring +1.5oC to +2.5oC Winter +2.0oC to +3.0oC
13 Do you need higher spatial resolution? Are surface variations important? Coastlines Mountains Abrupt land-use changes Are regional scale atmospheric phenomena important? Frontal rain systems Mountain barrier jets Sea-breezes Tropical cyclones...
14 GCM Simulations
15 GCM Simulations
16 GCM Projected Changes
17 GCM Projected Changes
18 GCM Simulations
19 GCM Simulations
20 GCM Projected Changes
21 GCM Projected Changes
22 GCM Simulations
23 GCM Simulations
24 GCM Projected Changes
25 GCM Projected Changes
26 Getting to smaller spatial scales Downscaling Statistical Dynamical Regional Climate Models Weather Research and Forecasting (WRF) model 10km horizontal resolution
27 GCM Simulations
28 GCM Simulations
29 GCM Simulations
30 Downscaled climate projections for NSW
31 BoM Analogue statistically downscaled projections Timbal, B., E. Fernandez and Z. Li. 2009: Generalization of a statistical downscaling model to provide local climate change projections for Australia, Environmental Modelling and Software, 24, Variables downscaled Daily precipitation, min & max temperature To station locations & 0.05 grid Contact: B.Timbal@bom.gov.au
32 BoM Analogue statistically downscaled projections Methodology: Find a historical analogue based on a small set of predictors Predictors can include: Mean sea level pressure, temperature at 850 hpa, wind speed at 850 hpa,... Limitation: cannot predict an event that has not occurred in the historical record.
33 BoM Analogue statistically downscaled projections
34 NSW DPI stochastic weather generator statistically downscaled projections Dr De Li Liu, NSW Department of Primary Industries, Senior Research Scientist Variables downscaled Daily precipitation, min & max temperature To station locations Contact:
35 NSW DPI stochastic weather generator statistically downscaled projections Methodology: Estimate statistical distributions of precipitation, min & max temperature from historical daily record Estimate changes to these distributions from GCM monthly projections Use stochastic weather generator to generate synthetic daily time series from these distributions Limitation: How well do GCMs reproducing current statistical distributions? How are changes at the monthly time-scale reflected in daily distributions?
36 NSW/ACT Regional Climate Modelling (NARCliM) Project Dynamical downscaling project which is just starting. A collaboration between CCRC, UNSW & OEH. Due to complete in 3 years. Variables downscaled More than 100 climate and related variables At least 3 hourly, daily and monthly times scales 10km resolution grid Project contact: Graham.Turner@environment.nsw.gov.au Research contact: jason.evans@unsw.edu.au
37 NSW/ACT Regional Climate Modelling (NARCliM) Project Methodology: Create lateral (& SST) boundary conditions from GCMs Drive RCMs with GCM boundary conditions Limitations: Requires large amounts of computer time & data storage. (estimated at ~6 million CPU hours & 1PB)
38 The NARCliM domain
39 Currently available climate projections for NSW Directly GCM based CSIRO Climate Change in Australia UNSW / DECCW Downscaled climate projections BoM analogue statistically downscaled projections NSW DPI stochastic weather generator statistically downscaled projections In the future there will be NARCliM dynamically downscaled projections
40 Regional climate projections for NSW Dr Jason Evans
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