Monthly mean maximum temperature

Borroloola Airport

The Monthly mean maximum temperature is the average of all available daily maxima for the month. The Daily maximum air temperature is nominally recorded at 9 am local clock time. It is the highest temperature for the 24 hours leading up to the observation, and is recorded as the maximum temperature for the previous day. Temperature data prior to 1910 should be used with extreme caution as many stations prior to that date used non-standard shelters. About temperature data

Key: Units = °C. 12.3 = Not quality controlled or uncertain, or precise date unknown
Period for calculating statistics:
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
Graph Graph January data Graph February data Graph March data Graph April data Graph May data Graph June data Graph July data Graph August data Graph September data Graph October data Graph November data Graph December data Graph Annual data
1987 35.533.5
1994 33.330.130.031.334.336.438.336.1
1995 33.334.532.733.532.129.530.730.235.335.437.136.933.4
1996 32.434.033.933.632.432.530.231.934.336.037.937.033.8
1997 33.434.435.135.233.031.830.531.435.836.638.237.034.4
1998 34.935.033.935.033.431.831.333.135.437.637.136.034.5
1999 34.735.332.932.532.230.329.832.235.037.235.334.833.5
2000 35.132.732.332.830.327.030.032.735.034.235.432.532.5
2001 33.731.733.432.331.431.230.631.634.635.637.537.433.4
2002 34.435.335.036.433.430.330.131.534.638.337.138.734.6
2003 30.933.533.535.333.531.530.632.135.137.537.635.033.8
2004 34.032.033.534.232.530.030.231.033.037.537.536.933.5
2005 34.134.833.934.832.830.831.131.035.337.336.838.234.2
2006 34.334.631.430.829.428.628.730.933.934.738.036.732.7
2007 35.233.732.633.233.926.929.531.735.537.238.336.433.7
2008 35.633.932.933.831.930.430.131.135.337.538.636.133.9
2009 32.232.435.035.832.231.330.533.835.936.937.337.934.3
2010 34.234.032.632.031.829.531.131.635.135.636.034.833.2
2011 33.932.232.232.430.027.929.431.634.036.435.434.532.5
2012 34.634.733.233.830.729.327.635.135.736.738.037.133.9
2013 37.336.134.333.932.530.730.933.435.738.436.236.734.7
2014 34.133.134.234.934.030.530.731.035.837.038.037.734.2
2015 33.939.936.633.831.930.932.435.236.239.733.8
2016 36.536.635.937.134.732.731.132.435.336.439.936.835.4
2017 33.231.535.334.033.430.632.833.836.238.337.338.534.6

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YearJanFebMarAprMayJunJulAugSepOctNovDecAnnual
2018 33.135.035.236.433.030.931.932.535.838.839.039.035.0
2019 36.937.936.934.232.430.431.632.335.338.840.341.435.7
2020 38.435.934.935.631.631.831.133.836.037.939.635.835.2
2021 35.733.033.934.833.530.632.633.835.639.237.237.134.8
2022 35.436.139.236.734.331.228.933.336.539.337.736.835.4
2023 34.032.733.035.331.932.630.533.435.638.338.139.534.6
2024 36.134.133.033.733.431.030.534.136.138.637.037.834.6
2025 38.536.635.132.831.630.131.832.435.6

Summary statistics for all years

StatisticJanFebMarAprMayJunJulAugSepOctNovDecAnnual
Mean34.734.234.234.332.530.530.532.335.237.237.736.834.1
Lowest30.931.531.430.829.426.927.630.233.034.235.332.532.5
5th %ile32.331.932.232.230.227.528.831.034.035.035.434.232.6
10th %ile33.132.232.632.430.828.729.431.034.335.636.034.833.1
Median34.334.133.934.232.530.630.532.235.337.237.636.934.2
90th %ile36.936.135.936.433.931.931.833.836.038.839.638.735.2
95th %ile37.836.638.036.734.132.532.233.936.139.039.839.235.4
Highest38.537.939.937.134.732.732.835.136.539.340.341.435.7

Data within the table which are in italics represent observations which have not been fully quality controlled, a process which may take a number of months to complete. While these data may be correct, you should exercise caution in their use.

Gaps occur in the table where there are missing valid daily observations within the month. This is frequently associated with the observer being unavailable (where observations are undertaken manually), a failure in the observing equipment, or when an event has produced suspect data.

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Product Code: IDCJAC0002 reference: 0123409975

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Page created: Fri 24 Oct 2025 04:52:37 AM AEDT