An updated long‐term homogenized daily temperature data set for Australia

Trewin, Blair; Braganza, Karl; Fawcett, Robert; Grainger, Simon; Jovanovic, Branislava; Jones, David A.; Martín, David; Smalley, Robert; Webb, Vanessa

doi:10.1002/gdj3.95

Cited by 27 publications

(61 citation statements)

References 27 publications

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“…(2006) and Sigró et al. (2015) (1901–2017). One hundred twelve homogenized temperature stations from the Australian Climate Observations Reference Network Surface Air Temperature (ACORN‐SAT) data set, version 2 ((Trewin et al., 2020), https://www.bom.gov.au/climate/data/acorn-sat/) and precipitation data from those stations (1901–2017). Two hundred fifty‐six stations from the ACRE project (Allan et al., 2011). Many have records which end before 1901, and so indices were only calculated for 46 stations.…”

Section: Datamentioning

confidence: 99%

Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3

et al. 2020

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We present the second update to a data set of gridded land‐based temperature and precipitation extremes indices: HadEX3. This consists of 17 temperature and 12 precipitation indices derived from daily, in situ observations and recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). These indices have been calculated at around 7,000 locations for temperature and 17,000 for precipitation. The annual (and monthly) indices have been interpolated on a 1.875°×1.25° longitude‐latitude grid, covering 1901–2018. We show changes in these indices by examining ”global”‐average time series in comparison with previous observational data sets and also estimating the uncertainty resulting from the nonuniform distribution of meteorological stations. Both the short and long time scale behavior of HadEX3 agrees well with existing products. Changes in the temperature indices are widespread and consistent with global‐scale warming. The extremes related to daily minimum temperatures are changing faster than the maximum. Spatial changes in the linear trends of precipitation indices over 1950–2018 are less spatially coherent than those for temperature indices. Globally, there are more heavy precipitation events that are also more intense and contribute a greater fraction to the total. Some of the indices use a reference period for calculating exceedance thresholds. We present a comparison between using 1961–1990 and 1981–2010. The differences between the time series of the temperature indices observed over longer time scales are shown to be the result of the interaction of the reference period with a warming climate. The gridded netCDF files and, where possible, underlying station indices are available from http://www.metoffice.gov.uk/hadobs/hadex3 and http://www.climdex.org.

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confidence: 99%

Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3

et al. 2020

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“…The present study mainly focuses on the top five densely populated Australian cities (Table 1). The city-scale temperature data is obtained from the high-quality station data provided by the Australian Climate Observations Reference Network -Surface Air Temperature version 2 (ACORN-SATv2) (Trewin et al, 2020) (Table 1). Unlike AWAP, the ACORN-SATv2 is a homogenized data set.…”

Section: Datamentioning

confidence: 99%

“…The homogenization is accomplished using the sophisticated percentile matching technique. The ACORN-SATv2 data set consists of 112 stations over the whole of Australia, out of which 110 stations have at least 50 years of data (Trewin et al, 2020). The city stations are selected based on the availability of long term temporally consistent data.…”

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confidence: 99%

“…The ACORN_SATV2 and AWAP datasets used in this research are available in these in-text data citation references: Trewin et al (2020) [ACORN_SATV2 station data] and Jones et al (2009) [AWAP gridded data], respectively. The SILO gridded data is obtained from https://www.longpaddock.qld.gov.au/silo/, and the further methodological details are provided in the in-text data citation reference: Jeffrey et al (2001).…”

Section: Data Availability Statementmentioning

confidence: 99%

“…The authors thank Blair Trewin for his valuable suggestions. The authors thank the Bureau of Meteorology for providing the ACORN_SATV2 station data (Trewin et al, 2020) and also Bureau of Meteorology and CSIRO for making available of AWAP data set (Jones et al, 2009). S. E. Perkins-Kirkpatrick is supported by ARC grant number FT170100106 and CLEX grant number CE170100023.…”

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confidence: 99%

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ANCHORS: A multi‐decadal tide gauge dataset to monitor Australian relative sea level changes

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Geoscience Data Journal

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Here, we describe a new national tide gauge-based sea level dataset for monitoring sea level changes around Australia, and the novel homogenization methodology used to develop it. Homogenization is a two-step process that involves the detection of jumps or steps in the data (inhomogeneities) followed by a correction applied to remove the change. This new dataset is called the Australian National Collection of Homogenized Observations of Relative Sea Level (ANCHORS).ANCHORS provides coastal sea levels at hourly resolution with homogenization performed on annual means. ANCHORS is intended to be a national tide gauge-based sea level dataset to monitor changes in mean sea level and resultant coastal flood frequency changes around Australia. Whilst sea levels are rising around Australia in response to global mean sea level changes, coastal water levels represent a notable gap in the suite of in situ high-quality datasets available for researchers, governments and industry. Tide gauge datasets are well suited to impact-based assessments of changes in flood frequency, duration and risk.In this regard, ANCHORS will sit alongside existing satellite-and numerical modelling-based sea level datasets to provide enhanced insights into the physical impacts of sea level rise on Australian coastlines. We have adapted established homogenization techniques to develop a national collection of homogenous long tide gauge records. The dataset comprises 38 tide gauge records from around Australia, varying in length from 34 to 123 years, with an average of 57 years.

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An updated long‐term homogenized daily temperature data set for Australia

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 27 publications

References 27 publications

Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3

Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3

Intensifying Australian Heatwave Trends and Their Sensitivity to Observational Data

ANCHORS: A multi‐decadal tide gauge dataset to monitor Australian relative sea level changes

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