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Jennifer Marohasy

Jennifer Marohasy

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Homogenisation Creating Remodelled Temperature Series for Australia

The list below contains the 112 Australian Climate Observations Reference Network – Surface Air Temperature (ACORN-SAT) locations with the associated Australian Bureau of Meteorology (BoM) station ID numbers. Each entry in the list contains links to two figures in which minimum and maximum temperature data are displayed.

The raw and adjusted series are charted together. In this way it is possible to get some understanding of the extent of the remodelling.

#Site nameStateBoM IDTminTmax
1AdelaideSA023090TminTmax
2AlbanyWA009999TminTmax
3Alice SpringsNT015590TminTmax
4AmberleyQLD040004TminTmax
5BarcaldineQLD036007TminTmax
6BathurstNSW063005TminTmax
7BirdsvilleQLD038026TminTmax
8BouliaQLD038003TminTmax
9BourkeNSW048245TminTmax
10BridgetownWA009617TminTmax
11BrisbaneQLD040842TminTmax
12BroomeWA003003TminTmax
13BundabergQLD039128TminTmax
14BurketownQLD029077TminTmax
15Butlers GorgeTAS096003TminTmax
16CabramurraNSW072161TminTmax
17CairnsQLD031011TminTmax
18CamoowealQLD037010TminTmax
19CanberraNSW070351TminTmax
20Cape BordaSA022823TminTmax
21Cape BrunyTAS094198TminTmax
22Cape LeeuwinWA009518TminTmax
23Cape MoretonQLD040043TminTmax
24Cape OtwayVIC090015TminTmax
25CarnarvonWA006011TminTmax
26CedunaSA018012TminTmax
27CharlevilleQLD044021TminTmax
28Charters TowersQLD034084TminTmax
29CobarNSW048027TminTmax
30Coffs HarbourNSW059151TminTmax
31CunderdinWA010286TminTmax
32DalwallinuWA008297TminTmax
33DarwinNT014015TminTmax
34DeniliquinNSW074258TminTmax
35DubboNSW065070TminTmax
36East SaleVIC085072TminTmax
37EsperanceWA009789TminTmax
38EuclaWA011003TminTmax
39ForrestWA011052TminTmax
40Gabo IslandVIC084016TminTmax
41GayndahQLD039066TminTmax
42GeorgetownQLD030124TminTmax
43GeraldtonWA008315TminTmax
44GilesWA013017TminTmax
45GroveTAS094220TminTmax
46GunnedahNSW055024TminTmax
47Halls CreekWA002079TminTmax
48HobartTAS094029TminTmax
49Horn IslandQLD027058TminTmax
50InverellNSW056242TminTmax
51Kalgoorlie-BoulderWA012038TminTmax
52KalumburuWA001019TminTmax
53Karijini NorthWA005098TminTmax
54KatanningWA010916TminTmax
55KerangVIC080023TminTmax
56KyancuttaSA018044TminTmax
57LarapunaTAS092045TminTmax
58LauncestonTAS091311TminTmax
59Laverton RAAFVIC087031TminTmax
60LearmonthWA005007TminTmax
61LongreachQLD036031TminTmax
62Low HeadTAS091293TminTmax
63MackayQLD033119TminTmax
64Marble BarWA004106TminTmax
65MarreeSA017126TminTmax
66MeekatharraWA007045TminTmax
67MelbourneVIC086338TminTmax
68MerredinWA010092TminTmax
69MilduraVIC076031TminTmax
70MilesQLD042112TminTmax
71MorawaWA008296TminTmax
72MoreeNSW053115TminTmax
73Moruya HeadsNSW069018TminTmax
74Mount GambierSA026021TminTmax
75NhillVIC078015TminTmax
76NormantonQLD029063TminTmax
77NowraNSW068072TminTmax
78NuriootpaSA023373TminTmax
79OodnadattaSA017043TminTmax
80OrbostVIC084145TminTmax
81PalmervilleQLD028004TminTmax
82PerthWA009021TminTmax
83Point PerpendicularNSW068151TminTmax
84Port HedlandWA004032TminTmax
85Port LincolnSA018192TminTmax
86Port MacquarieNSW060139TminTmax
87Rabbit FlatNT015666TminTmax
88Rayville ParkSA021133TminTmax
89RichmondQLD030161TminTmax
90RichmondNSW067105TminTmax
91RobeSA026026TminTmax
92RockhamptonQLD039083TminTmax
93RutherglenVIC082039TminTmax
94SconeNSW061363TminTmax
95St GeorgeQLD043109TminTmax
96SydneyNSW066062TminTmax
97TarcoolaSA016098TminTmax
98Tennant CreekNT015135TminTmax
99ThargomindahQLD045025TminTmax
100TibooburraNSW046126TminTmax
101TownsvilleQLD032040TminTmax
102Victoria River DownsNT014825TminTmax
103Wagga WaggaNSW072150TminTmax
104WalgettNSW052088TminTmax
105WanderingWA010917TminTmax
106WeipaQLD027045TminTmax
107West WyalongNSW050017TminTmax
108WilcanniaNSW046012TminTmax
109WilliamtownNSW061078TminTmax
110Wilsons PromontoryVIC085096TminTmax
111WoomeraSA016001TminTmax
112YambaNSW058012TminTmax

Each figure contains annual mean temperature series, including the raw ADAM (CDO) data (derived from the monthly mean temperatures available from the BoM CDO portal), and the ACORN-SAT data (derived from the daily values available from the BoM long-term temperature record).

For the raw series, each annual mean value is calculated as the average of twelve months for the relevant calendar year. If one month is missing, the calendar year is excluded from the series.

For the ACORN-SAT series, the monthly averages are first calculated from daily values (following the BoM method: “If more than 10 days of data are missing in a given month, that monthly average is deemed to be missing”), and then the annual mean is calculated in the same way as for the raw series discussed above.

A least-squares regression line is also shown for each temperature series with the associated rate of warming or cooling (degrees Celsius over a century) indicated. The rate of warming or cooling is given in brackets for each temperature series less than 10 years.

A note on weightings:

The average temperature anomaly series for Australia (or the separate states/regions as in the BoM climate change tracker) are effectively weighted averages of the individual ACORN-SAT series.

The process is explained here.

Each ACORN-SAT site is associated with a monthly weight, based on the area it represents (its footprint), which depends on how close its nearest neighbours are.

As mainland ACORN-SAT is a daily dataset, and not all 112 records are 100% complete from 1910 to today, the weights change (potentially on a daily basis – as the mix of available stations changes, but the weights are only given per month.) Also note that the BoM excludes (or at least this is what they say) the 8 urban sites – so they actually only consider 104 ACORN-SAT sites for areal averaging purposes.

The weights are not assigned to stations and then the average calculated as the weighted sum, but rather the individual data points are interpolated on a regular 2D grid across Australia using a certain areal interpolation algorithm (Barnes successive correction). Once this is done and the average determined through the grid, the influence of each of the 112 sites are inferred after-the-fact (or as an output of the interpolation algorithm), and this influence is expressed as a “weight”.

So each weight can be seen as an estimated influence of each site on the national average, but they aren’t actually used as you would normally in calculating a weighted average.

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Jennifer Marohasy Jennifer Marohasy BSc PhD is a critical thinker with expertise in the scientific method. Read more

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