climate outlook and review january 2016 no 105_final 1
TRANSCRIPT
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University of Southern Queensland | Document title 1
Climate Outlook and ReviewFocus on sugar industryrequirements
Issued 1 January 2016
Roger C Stone
International Centre for
Applied Climate Sciences
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University of Southern Queensland | International Centre for Applied Climate Sciences (ICACS)| Climate Outlook and Short Review from Professor Roger Stone 3
Figure 1: Forecast rainfall probability values for Queensland - probability of
exceeding the respective long-term median values overall for the total period
January to March 2016. Regions shaded grey have around normal probability values
while areas shaded blue and dark blue have above normal probability values. Yellow
areas have low probability values. Note that these values are relative to normal
rainfall at this particular period of year.
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University of Southern Queensland | International Centre for Applied Climate Sciences (ICACS)| Climate Outlook and Short Review from Professor Roger Stone 4
Figure 2:Probability of maximum temperatures averaged over the three month
period January to March 2016 being above the long-term median for this time of the
year. Regions shaded yellow have below normal maximum temperature probability
values likely due to increased cloud cover with this current three month pattern.
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University of Southern Queensland | International Centre for Applied Climate Sciences (ICACS)| Climate Outlook and Short Review from Professor Roger Stone 5
Figure 3:Probability of minimum temperatures averaged over the three month
period January to March 2016 being above the long-term median for this time of
the year. Regions shaded blue and dark grey have above normal probability values.
Regions shaded yellow have below normal overall probability values for minimum
temperatures.
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Figure 4:Probability of radiation values, averaged over the three month period
January to March 2016 of being above the long-term median for this time of the
year. Regions shaded blue and dark grey have well above normal probability
values. Regions shaded yellow have below normal values.
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Figure 5: Forecast rainfall probability values for Australia for the overall period January to
March 2016 (after Stone, Hammer and Marcussen, 1996). Regions shaded red, yellow
and light grey have low probability values for this period relative to this time of the year.
Regions shaded dark grey and dark blue have above normal probability values.
Figure 6: Monthly SOI values since January 2010 the most recent phase is rapidly
falling.The most recent 30-day average value, to 31 December 2015, is minus
10.09 (-10.09). The SOI has been mostly negative for over 20 months now.
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University of Southern Queensland | International Centre for Applied Climate Sciences (ICACS)| Climate Outlook and Short Review from Professor Roger Stone 8
Longer-term forecasts:
The ECMWF and POAMA models provide useful assessments of longer-term rainfall
probability values for sugar regions (and other agricultural regions).
The ECMWF example suggests very low rainfall probability values for the coming
March to May 2016 period for our regions.
The United States Climate Prediction Center and the Bureau of MeteorologyCAWCR Centre provide useful forecasts of sea-surface temperatures in important
regions of the tropical Pacific Ocean that have relevance for longer-term rainfall
and temperature patterns over Australian sugar regions. An example of a
recent/current forecast of sea-surface temperatures in the Nino3.4 region is
provided in Figure 8 below. This figure indicates well above normal sea-surface
temperatures likely to extend into the first half of 2016 but decreasing rapidly
through autumn 2016. Note that this is a particularly volatile time of the year and
forecasts can change rapidly from now through to about May.
Figure 7. Updated ECMWF forecast rainfall probability values for eastern Australia and the
region generally, for the March to May period, 2016. Lower rainfall probability values
(probability of exceeding the long-term median) are indicated by the yellow-beige colours
with the scale provided at the top of the diagram (Courtesy ECMWF, Reading, UK).
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Figure 8.Forecast of sea-surface temperature anomalies (how much they vary from normal) for
the central Equatorial Pacific Ocean for the period through to September, 2016. At this stage this
forecast shows a major shift towards much cooler sea-surface temperatures and the associated
demise of the El Nio pattern in the late southern hemisphere autumn of 2016. Courtesy US
Climate Prediction Center
Detailed rainfall probability values for selected locations.
MossmanJanuary to March 2016
100% chance of exceeding 804mm
90% 1388mm
80% 1458mm
70% 1504mm
60% 1541mm
50% 1773mm
40% 1829mm
30% 1924mm
20% 1936mm
10% 1961mm
Max ever record this pattern at Mossman 1991mm
Probability of exceeding the long-term median at Mossman: 90%
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InnisfailJanuary to March 2016
100% chance of exceeding 1012mm
90% 1596mm
80% 1608mm
70% 1737mm
60% 1773mm
50% 1878mm
40% 2175mm
30% 2271mm
20% 2450mm
10% 2483mmMax ever record this pattern at Innisfail 3103mm
Probability of exceeding the long-term median at Innisfail: 54%
Mareeba January to March 2016
100% chance of exceeding 279mm
90% 374mm
80% 443mm
70% 470mm
60% 545mm
50% 563mm
40% 728mm
30% 839mm
20% 941mm
10% 1066mm
Max ever record this pattern at Mareeba 1116mm
Probability of exceeding the long-term median at Mareeba: 46%
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InghamJanuary to March 2016
100% chance of exceeding 531mm
90% 756mm
80% 869mm
70% 1042mm
60% 1163mm
50% 1243mm
40% 1398mm
30% 1587mm
20% 1860mm
10% 2034mmMax ever record this pattern at Ingham 2306mm
Probability of exceeding the long-term median at Ingham: 46%
Ayr(BSC) January to March 2016
100% chance of exceeding 167mm
90% 268mm
80% 351mm
70% 427mm
60% 648mm
50% 759mm
40% 888mm
30% 928mm
20% 1135mm
10% 1308mm
Max ever recorded this pattern 1326mm
Probability of exceeding the long-term median: 61%
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Mackay SugarJanuary to March 2016
100% chance of exceeding 483mm
90% 594mm
80% 643mm
70% 713mm
60% 765mm
50% 887mm
40% 924mm
30% 1040mm
20% 1076mm
10% 1337mmMax ever recorded this pattern 1928mm
Probability of exceeding the long-term median: 46%
BundabergSugarJanuary to March 2016100% chance of exceeding 181mm
90% 220mm
80% 264mm
70% 348mm
60% 368mm
50% 416mm
40% 481mm30% 574mm
20% 630mm
10% 647mm
Max ever recorded this pattern 656mm
Probability of exceeding the long-term median: 36% for this period.
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University of Southern Queensland | International Centre for Applied Climate Sciences (ICACS)| Climate Outlook and Short Review from Professor Roger Stone 13
ChildersJanuary to March 2016
100% chance of exceeding 121mm
90% 229mm
80% 281mm
70% 322mm
60% 349mm
50% 434mm
40% 513mm
30% 527mm
20% 667mm
10% 782mmMax ever record this pattern at Childers 971mm
Probability of exceeding the long-term median at Childers: 53%
Condong (NSW) Sugar MillJanuary to March 2016
100% chance of exceeding 273mm
90% 291mm
80% 333mm
70% 399mm
60% 460mm
50% 532mm
40% 626mm
30% 712mm
20% 770mm
10% 896mm
Max ever recorded this pattern 1448mm
Probability of exceeding the long-term median: 40%
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Recent forecast maps
As these forecasts are issued for a three-month validity on a rolling monthly
basis it has been decided to provide a continuous reference to these forecasts, as
below:
Seasonal climate forecast valid
1 November 2015 to 31 January 2016
Seasonal climate forecast valid
1 October to 31 December 2015
Seasonal climate forecast valid
1 December 2015 to 29 February 2016
Seasonal climate forecast valid
1 January to 31 March 2016
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