Estimating the uncertainty of Australian area‐average temperature anomalies. (29th October 2021)

• Record Type: Journal Article
• Authors: Grainger, Simon; Fawcett, Robert; Trewin, Blair; Jones, David; Braganza, Karl; Jovanovic, Branislava; Martin, David; Smalley, Robert; Webb, Vanessa
• Is Part Of: International journal of climatology. Volume 42:Number 5(2022)
• Page Start: 2815
• Page End: 2834
• Publication Date: 2021-10-29
• Subjects: annual temperature -- Australia -- climate change -- error model -- Monte Carlo simulation -- trend analysis -- uncertainty; Climatology -- Periodicals; Climat -- Périodiques; Climatologie -- Périodiques; 551.605
• DOI: 10.1002/joc.7392
• Languages: English
• ISSNs: 0899-8418

Abstract

Abstract: An important metric for communicating the context and impact of climate change is regionally or nationally averaged temperature anomalies. Quantifying the associated uncertainty adds confidence in the reporting of temperature records and trends. For area‐averaged temperature anomalies derived from point‐source observations we model the uncertainty by a three‐step process: (1) observation random error; (2) spatial analysis grid point uncertainty; and (3) area‐average uncertainty. Each step should reflect the method used to calculate the area average. For Australian area‐average temperature anomalies, the observation random error is modelled as the sum of the sampling uncertainty and the uncertainty in the adjustment process. Daily maximum and minimum temperature time series from the 104 non‐urban locations of the Australian Climate Observation Reference Network—Surface Air Temperature (ACORN‐SAT) version 2 dataset for 1981–2010 are used to estimate the sampling uncertainty, based on predicted location pair zero‐distance correlations having values of less than 1.0. ACORN‐SAT version 2 breakpoint information is used to estimate the uncertainty from the selection of reference stations used in the detection and homogenization processes. Monthly area‐average temperature uncertainty is estimated for the 1910–2018 period from Monte Carlo simulations using the observation uncertainty and the available ACORN‐SAT network for each month. The uncertainty in annual area‐average temperature anomalies is then obtained from the monthly uncertainties and inter‐month correlations modelled with a periodic auto‐regressive model. The ±2 σ annual mean temperature area‐average uncertainty is ±0.084°C in 2018 and ± 0.176°C in 1910. The larger value in 1910 is primarily due to decreased ACORN‐SAT coverage over areas of inland Australia. The Australian annual mean temperature change and associated uncertainty from ACORN‐SAT version 2 over 1910–2018 is found to be 1.42 ± 0.28°C. This is consistent with global air temperature warming by around 1°C since 1850. Abstract : Area‐average temperature is one of the seven headline climate indicators defined by the World Meteorological Organization. The utility of area‐average temperature as a metric is enhanced if the associated uncertainty is quantified. Here, we present an estimate of the uncertainty in the Australian annual mean temperature for 1910–2018 based on homogenized station data. Annual uncertainties of less than ±0.18°C are much smaller than the estimated temperature change over the 1910–2018 period of +1.42 ± 0.28°C.