TRENDS OF DAILY PEAK WIND GUSTS IN AUSTRALIA, 1948-2016 ...

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Cesar AZORIN-MOLINA 1,2* , Tim R. McVICAR 3,4 , Jose A. GUIJARRO 5 , Blair TREWIN 6 , Andrew FROST 6 , Lorenzo MINOLA 1 , Gangfeng ZHANG 1,7 , Deliang CHEN 1 2. MONTHLY SPATIOTEMPORAL TRENDS OF DPWG ACROSS AUSTRALIA FOR 1948-2016 TRENDS OF DAILY PEAK WIND GUSTS IN AUSTRALIA, 1948-2016 CL5.02 - Climate Data Homogenization and Analysis of Climate Variability, Trends and Extremes ABSTRACT. Daily Peak Wind Gust (DPWG) time series are important for the evaluation of wind-related hazard risks to different socioeconomic and environmental sectors. Yet wind time series analyses can be impacted by several artefacts, such as anemometer changes and site location changes, both temporally and spatially, that may introduce inhomogeneities that mislead the study of their decadal variability and trends. A previous study (EGU2018- 14546 and Azorin-Molina et al. 2019. Int. J. Climatol. 39(4), 2260-2277) presented a strategy in the homogenization of this challenging climate extreme such as the DPWG. The automatic homogenization of this DPWG dataset was implemented in the recently developed version 3.1 of the R package Climatol which: (i) represents an advance in homogenization of this extreme climate record; and (ii) produced the first homogenized DPWG dataset to assess and attribute long-term variability of extreme winds across Australia. Given the inconsistencies of wind gust trends under the widespread decline in near-surface wind speed (stilling), the aim of this poster presentation is to show DPWG trends in 35 Bureau of Meteorology operated stations for 1948-2016, with particular focus on the spatiotemporal magnitude (wind speed maxima) of DPWG at annual, seasonal and monthly time-scales. Acknowledgements: We acknowledge the Australian Bureau of Meteorology for the provision of the data. This work has been supported by the project “Detection and attribution of changes in extreme wind gusts over land” (2017-03780) funded by the Swedish Research Council. 3. CONCLUDING REMARKS The main findings of this study can be summarized as follows: (i) DPWG showed an annual widespread dominance of statistically significant declining trends, particularly in summer and spring and over the eastern and southern part of the country. (ii) At monthly time-scales, a distinct monthly cycle is detected with negative trends dominating across Australia in January-May and October-December, whereas non-significant declines or even positive trends were observed from June till September. 1. ANNUAL AND SEASONAL SPATIOTEMPORAL TRENDS OF DPWG ACROSS AUSTRALIA FOR 1948-2016 (Left) Location of the 35 Bureau of Meteorology operated stations used in the analysis. (Right) Temporal coverage for 1/Jan/1948 to 31/Dec/2016 (69-years) series. Colors indicate the percentage of observations. DPWG series 1 2 3 4 5 6 7 *Corresponding author: Cesar Azorin-Molina, Regional Climate Group (http://rcg.gvc.gu.se) Department of Earth Sciences, University of Gothenburg, Box 460, 405 30 Gothenburg, Sweden E-mail: [email protected] Annual Summer (DJF) Autumn (MAM) Winter (JJA) Spring (SON) January February March April May June July August September October DPWG have substantial socioeconomic and environmental impacts (Right) Wind erosion in a coastal sand beach due to gusty winds November December View publication stats View publication stats

Transcript of TRENDS OF DAILY PEAK WIND GUSTS IN AUSTRALIA, 1948-2016 ...

Page 1: TRENDS OF DAILY PEAK WIND GUSTS IN AUSTRALIA, 1948-2016 ...

Cesar AZORIN-MOLINA1,2*, Tim R. McVICAR3,4, Jose A. GUIJARRO5, Blair TREWIN6, Andrew FROST6, Lorenzo MINOLA1, Gangfeng ZHANG1,7, Deliang CHEN1

2. MONTHLY SPATIOTEMPORAL TRENDS OF DPWG ACROSS AUSTRALIA FOR 1948-2016

TRENDS OF DAILY PEAK WIND GUSTS IN AUSTRALIA, 1948-2016 CL5.02 - Climate Data Homogenization and Analysis of Climate Variability, Trends and Extremes

ABSTRACT. Daily Peak Wind Gust (DPWG) time series are important for the evaluation of wind-related hazard risks to different socioeconomic andenvironmental sectors. Yet wind time series analyses can be impacted by several artefacts, such as anemometer changes and site location changes, bothtemporally and spatially, that may introduce inhomogeneities that mislead the study of their decadal variability and trends. A previous study (EGU2018-14546 and Azorin-Molina et al. 2019. Int. J. Climatol. 39(4), 2260-2277) presented a strategy in the homogenization of this challenging climate extreme suchas the DPWG. The automatic homogenization of this DPWG dataset was implemented in the recently developed version 3.1 of the R package Climatolwhich: (i) represents an advance in homogenization of this extreme climate record; and (ii) produced the first homogenized DPWG dataset to assess andattribute long-term variability of extreme winds across Australia. Given the inconsistencies of wind gust trends under the widespread decline in near-surfacewind speed (stilling), the aim of this poster presentation is to show DPWG trends in 35 Bureau of Meteorology operated stations for 1948-2016, withparticular focus on the spatiotemporal magnitude (wind speed maxima) of DPWG at annual, seasonal and monthly time-scales.

Acknowledgements: We acknowledge the Australian Bureau of Meteorology for the provision of the data. This work has been supported by the project “Detection and attribution of changes in extreme wind gusts over land” (2017-03780) funded by the Swedish Research Council.

3. CONCLUDING REMARKS

The main findings of this study can be summarized as follows:

(i) DPWG showed an annual widespread dominance of statistically significant declining trends, particularly in summer and spring and over the eastern and southern part of the country.

(ii) At monthly time-scales, a distinct monthly cycle is detected with negative trends dominating across Australia in January-May and October-December, whereas non-significant declines or even positive trends were observed from June till September.

1. ANNUAL AND SEASONAL SPATIOTEMPORAL TRENDS OF DPWG ACROSS AUSTRALIA FOR 1948-2016

(Left) Location of the 35 Bureau of Meteorology operated stations used in the

analysis.

(Right) Temporal coverage for1/Jan/1948 to 31/Dec/2016 (69-years)

series. Colors indicate the percentage of observations.

DPWG series

1 2 3

4

5 6 7

*Corresponding author: Cesar Azorin-Molina, Regional Climate Group (http://rcg.gvc.gu.se)Department of Earth Sciences, University of Gothenburg, Box 460, 405 30 Gothenburg, Sweden

E-mail: [email protected]

Annual Summer (DJF) Autumn (MAM) Winter (JJA) Spring (SON)

January February March April May June

July August September October

DPWG have substantial socioeconomic and environmental

impacts

(Right) Wind erosion in a coastal sand beach due to gusty winds

November December

View publication statsView publication stats