Forewarned is forearmed: Managing the impacts of extreme climate events - Debbie Hudson Bureau of Meteorology
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Forewarned is forearmed: Managing the impacts of extreme climate events Debbie Hudson Bureau of Meteorology
BoM Climate prediction service Seasonal Outlooks (beyond the 7-day weather forecast) http://www.bom.gov.au/climate/ahead • Monthly and seasonal outlooks Probability of above/below median rainfall/Tmax/Tmin • Forecasts of ENSO & IOD • Northern rainfall onset • Seasonal streamflow forecasts • Tropical cyclone outlook • Sea surface temperature forecasts
New climate outlook model: ACCESS-S • Higher definition (60km instead of 250km resolution) • More accurate • Cutting edge science (UK Met Office collaboration) • More supercomputing power
The model simulates how the atmosphere and ocean evolves Rainfall (shaded) and MSLP (contour) Sea surface temperature Evolution of atmosphere and ocean over the Australian region from a single ACCESS-S forecast
Higher definition maps • Increased grid resolution: 60km instead of 250km • Finer detail for more localised information POAMA 250km resolution ACCESS-S 60km resolution
Produces a more realistic climate Example: Mean rainfall (mm/day) for spring (SON) Observations ACCESS-S1 POAMA
Week 1+2 Week 2+3 Week 3+4 Month 1 Month 2 Rainfall Month 3 Season (0-lead) Season (1-mnth lead) Week 1+2 Week 2+3 Week 3+4 Month 1 ACCESS-S1 Month 2 TMAX Month 3 Season (0-lead) Season (1-mnth lead) POAMA Week 1+2 Week 2+3 Forecasts of probability of above median Week 3+4 More accurate outlooks Average accuracy for all AUS and all times of year Month 1 Month 2 TMIN Month 3 Season (0-lead) Season (1-mnth lead)
Improved accuracy for predicting El Niño Higher values are better Correlation skill for NINO3 outlooks initialised on 1st May
More improvements coming… • New multi-week forecasts Ø For next week and the week after • A new version of ACCESS-S Ø Performs even better for the Australian region Week Next Coming Coming ahead Fortnight Month Season
A key challenge… Understanding and communicating probabilities 2015/16 engagement: User comprehension is linked with user satisfaction i.e. those that answered comprehension questions incorrectly were 3 times as likely to be dissatisfied with the service Courtesy of Beth Ebert
BoM Climate prediction service Seasonal Outlooks (beyond the 7-day weather forecast) http://www.bom.gov.au/climate/ahead • Monthly and seasonal outlooks Probability of above/below median rainfall/Tmax/Tmin • Forecasts of ENSO & IOD • Northern rainfall onset • Seasonal streamflow forecasts • Tropical cyclone outlook • Sea surface temperature forecasts
Rural RnD4Profit Project: Forewarned is forearmed Forewarned is forearmed: managing the impacts of extreme climate events Research partners Rural RDC & other partners BoM Univ. Melbourne Meat and Livestock Australia Grains RDC Monash Univ. Univ. S. Queensland SARDI USERS Sugar Research Australia Cotton RDC AgriFutures Australia DEDJTR Dairy Australia DAFQ Wine Australia Birchip Cropping Group Australian Pork Managed by Meat and Livestock Australia; 17 collaborating partner organisations; 2017-2022
1. The foundation Assessing user Improving the Underpinning needs forecast system science Research partners Rural RDC & other partners BoM Meat and Livestock Australia Univ. Melbourne Work package 1: Grains RDC Monash Univ. Sugar Research Australia User needs and Cotton RDC Univ. S. Queensland SARDI Forecast system AgriFutures Australia Dairy Australia DEDJTR development Wine Australia DAFQ Australian Pork Birchip Cropping Group
Assessing user needs What kind of extreme? Critical times of year Critical timescales (weeks/months/seasons) How far in Prolonged heavy rain in advance do you A run of very hot nights in October is…… If I knew there need to know? September is bad for …… were going to be more than average extremely wet days I could….. I really need to know if Oct-Dec is going to be a very wet season. Early frosts have a very Ideally I need to know this by July. If negative impact. If I knew I knew, then I could make decisions there was an increased to … likelihood of a frosts more than one week in advance, I could….
Underpinning science e.g. ENSO Increased chance of heat extremes during El Niño especially in Spring Observations POAMA SON SON Increased chance of an extremely hot week Heat extreme: weekly-mean Tmax in decile 10
Forecast skill: Windows of forecast opportunity Example: More skill in El Niño/La Niña periods Skill for forecasting extreme heat Skill when in Skill when ENSO is El Niño/La Niña weak/neutral Higher values are better Decile 10 Tmax in JJA in weeks 2 and 3 of the forecast
2. Developing and delivering forecasts Work package 2: Extreme forecast products development and delivery • Develop a range of heat, cold and rainfall experimental extremes forecast products from ACCESS-S on multi-week to seasonal timescales; • Make experimental products available on a research web server for trial and feedback; • Deliver operational forecasts for a subset that have sufficient accuracy and utility. The products will be of broad utility across industries (i.e. not highly tailored for a specific industry).
What is an extremes forecast product? Forecasting climate extremes Averaged/accumulated over a period (e.g. week, fortnight, month, season) e.g., extremely hot month, extremely dry season Forecasting extreme weather events (beyond the 7-day forecast) Likelihood of weather events in a given period e.g., probability of heatwaves, frosts, heavy rainfall events
Forecasts 99 equally likely outcomes/scenarios ("ensemble" of forecasts) Outlooks for multi- week and seasonal timescales Forecasts are updated every day The ensemble is used to create the forecast probabilities e.g., if 80 of these 99 outlooks predict above-average rainfall for a season, then the likelihood of a wetter than average season for the location is 80%
Currently available product operationally is: Probability of above median Forecast for JFM 2019 Rainfall
Getting more information from the forecast: 3-category probabilities Forecast for JFM 2019 Rainfall: Probability for most likely category
Getting even more information from the forecast: Chance of being in outer deciles (e.g., very dry) Forecast for JFM 2019 Rainfall: Chance of being in decile 1&2 Increased likelihood of having Decile 1&2 (brown colours) (i.e. of being amongst the driest fifth of JFM seasons Climatological expected probability for Decile 1&2 (20%)
Heat extremes example 25 - 31 December 2018 WEEK 2 FORECAST: Chance of a heatwave (three or more consecutive days Tmean > 90th percentile) Observed Tmean anomaly 25 – 31 December 2018
Forecast timeseries example Observations Loxton: Mar 2019 Tmax Grey shading shows thresholds for what has historically happened for that time of year. Can see how forecast differs from what is "usually" expected. Grey line is the median – "average" value for that time of year. Forecast 95th percentile Forecast 75th percentile A summary Forecast of the 99 median "outlooks" Forecast 25th percentile Forecast 5th percentile
3. Linking forecasts and user decisions Work package 3: USERS Interfacing to Industry decisions Research partners Rural RDC & other BoM partners Univ. Melbourne Meat and Livestock Australia Grains RDC Monash Univ. Sugar Research Australia Univ. S. Queensland Cotton RDC SARDI AgriFutures Australia DEDJTR Dairy Australia DAFQ Wine Australia Australian Pork Birchip Cropping Group
Linking forecasts and user decisions Courtesy of Jemma Pearl, Birchip Cropping Group
4. Extension and training Work Package 4: Extension and USERS training Research partners Rural RDC & other BoM partners Univ. Melbourne Meat and Livestock Australia Grains RDC Monash Univ. Sugar Research Australia Univ. S. Queensland Cotton RDC SARDI AgriFutures Australia DEDJTR Dairy Australia DAFQ Wine Australia Australian Pork Birchip Cropping Group
Rural RnD4Profit Project: Forewarned is forearmed Feedback Module 4: Adoption Adoption Module 3: Extension and USERS Interfacing to training Industry decisions Photo: Jennifer Metcalfe, Econnect Communications Adoption Feedback Feedback Module 2: Extreme forecast products development and delivery Feedback Feedback Rural RDC & other Research partners partners BoM Univ. Melbourne Module 1: Meat and Livestock Australia Grains RDC Monash Univ. User needs and Sugar Research Australia Univ. S. Queensland Cotton RDC SARDI Forecast system AgriFutures Australia DEDJTR development Dairy Australia DAFQ Wine Australia Birchip Cropping Group Australian Pork
Partnerships with users will become increasingly important in order to unlock the true potential and value of multi-week and seasonal forecasts No matter how accurate a weather The sidewalk forecast or climate outlook is: The sidewalk that the user wants was built – If it doesn’t provide information users need – If it isn’t issued when users are making their critical decisions – If it is misinterpreted – If it cannot help make a decision…. Canberra 2017 *The forecast has little real value
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