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    Temperature and precipitation regional climate series over the central Pyrenees during 1910-2013
    Perez-Zanon, N ; Sigro, J ; Ashcroft, L (WILEY, 2017-03-30)
    ABSTRACT Quality controlled homogenized regional anomaly series of temperature and precipitation are obtained for the central Pyrenees for the period 1910–2013. A 0.1 °C decade−1 positive trend is found for minimum and maximum annual temperature exceeding the significance level of 0.05 for the whole studied period. A significant warming is found in all seasons except boreal spring in minimum temperature and winter in maximum temperature. The annual regional precipitation anomaly series shows a high inter‐annual variability and a slightly negative non‐significant trend of −0.6% decade−1. Non‐significant negative trends of precipitation are found in all seasons for the whole period examined. Considering the recent period 1970–2013, values of temperature trends are generally higher than those obtained for the whole period. For this latest period, all maximum temperature trends are significant while only the minimum temperature trend in winter is non‐significant. Spring is the season that presents the greatest warming, with 0.9 °C decade−1 for maximum temperature and 0.4 °C decade−1 for minimum temperature. Evaluating the same period for precipitation anomalies, trends in the annual, winter and summer series remain negative, while spring and autumn trends are positive although non‐significant. This series represents the longest homogenized climate data set available for the central Pyrenees region, including the newly recovered period 1910–1949, offering new possibilities for climate analysis and paleoclimate proxy calibration.
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    Revisiting the 1888 centennial drought
    Ritman, MEH ; Ashcroft, LC (Royal Society of Victoria, 2020-01-01)
    Droughts are a key feature of Australia's climate and can lead to water shortages, crop failure and economic instability. Historical droughts are an important source of information to better understand recent droughts and how they might be managed. However, the majority of studies into Australian drought only consider dry periods in the 20th and 21st centuries. Here, a newly developed gridded rainfall dataset from the Bureau of Meteorology and a network of historical rainfall stations are used to re-examine the short but sharp Centennial Drought of 1888. The Centennial Drought is explored on a monthly scale, highlighting key periods of rainfall deficiency, and identifying the impacts of relevant atmospheric circulation patterns. The most significant rainfall declines occur in autumn and spring and are likely to be the result of an El Niño event, a positive Sub-Tropical Ridge intensity anomaly, and seasonal fluctuations of the Southern Annular Mode. Comparing the Centennial Drought to other short droughts of 1914-15, 1982-83 and 2017~ indicates that the magnitude of the rainfall deficiencies and widespread spatial extent are comparable, placing the Centennial Drought alongside some of the most severe short droughts in Australia's colonial climate history.
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    Climate indices in historical climate reconstructions: a global state of the art
    Nash, DJ ; Adamson, GCD ; Ashcroft, L ; Bauch, M ; Camenisch, C ; Degroot, D ; Gergis, J ; Jusopovic, A ; Labbe, T ; Lin, K-HE ; Nicholson, SD ; Pei, Q ; Prieto, MDR ; Rack, U ; Rojas, F ; White, S (COPERNICUS GESELLSCHAFT MBH, 2021-06-17)
    Abstract. Narrative evidence contained within historical documents and inscriptions provides an important record of climate variability for periods prior to the onset of systematic meteorological data collection. A common approach used by historical climatologists to convert such qualitative information into continuous quantitative proxy data is through the generation of ordinal-scale climate indices. There is, however, considerable variability in the types of phenomena reconstructed using an index approach and the practice of index development in different parts of the world. This review, written by members of the PAGES (Past Global Changes) CRIAS working group – a collective of climate historians and historical climatologists researching Climate Reconstructions and Impacts from the Archives of Societies – provides the first global synthesis of the use of the index approach in climate reconstruction. We begin by summarising the range of studies that have used indices for climate reconstruction across six continents (Europe, Asia, Africa, the Americas, and Australia) as well as the world's oceans. We then outline the different methods by which indices are developed in each of these regions, including a discussion of the processes adopted to verify and calibrate index series, and the measures used to express confidence and uncertainty. We conclude with a series of recommendations to guide the development of future index-based climate reconstructions to maximise their effectiveness for use by climate modellers and in multiproxy climate reconstructions.
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    An Evaluation of the Performance of the Twentieth Century Reanalysis Version 3
    Slivinski, LC ; Compo, GP ; Sardeshmukh, PD ; Whitaker, JS ; McColl, C ; Allan, RJ ; Brohan, P ; Yin, X ; Smith, CA ; Spencer, LJ ; Vose, RS ; Rohrer, M ; Conroy, RP ; Schuster, DC ; Kennedy, JJ ; Ashcroft, L ; Broennimann, S ; Brunet, M ; Camuffo, D ; Cornes, R ; Cram, TA ; Dominguez-Castro, F ; Freeman, JE ; Gergis, J ; Hawkins, E ; Jones, PD ; Kubota, H ; Lee, TC ; Lorrey, AM ; Luterbacher, J ; Mock, CJ ; Przybylak, RK ; Pudmenzky, C ; Slonosky, VC ; Tinz, B ; Trewin, B ; Wang, XL ; Wilkinson, C ; Wood, K (AMER METEOROLOGICAL SOC, 2021-02)
    Abstract The performance of a new historical reanalysis, the NOAA–CIRES–DOE Twentieth Century Reanalysis version 3 (20CRv3), is evaluated via comparisons with other reanalyses and independent observations. This dataset provides global, 3-hourly estimates of the atmosphere from 1806 to 2015 by assimilating only surface pressure observations and prescribing sea surface temperature, sea ice concentration, and radiative forcings. Comparisons with independent observations, other reanalyses, and satellite products suggest that 20CRv3 can reliably produce atmospheric estimates on scales ranging from weather events to long-term climatic trends. Not only does 20CRv3 recreate a “best estimate” of the weather, including extreme events, it also provides an estimate of its confidence through the use of an ensemble. Surface pressure statistics suggest that these confidence estimates are reliable. Comparisons with independent upper-air observations in the Northern Hemisphere demonstrate that 20CRv3 has skill throughout the twentieth century. Upper-air fields from 20CRv3 in the late twentieth century and early twenty-first century correlate well with full-input reanalyses, and the correlation is predicted by the confidence fields from 20CRv3. The skill of analyzed 500-hPa geopotential heights from 20CRv3 for 1979–2015 is comparable to that of modern operational 3–4-day forecasts. Finally, 20CRv3 performs well on climate time scales. Long time series and multidecadal averages of mass, circulation, and precipitation fields agree well with modern reanalyses and station- and satellite-based products. 20CRv3 is also able to capture trends in tropospheric-layer temperatures that correlate well with independent products in the twentieth century, placing recent trends in a longer historical context.
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    Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system
    Slivinski, LC ; Compo, GP ; Whitaker, JS ; Sardeshmukh, PD ; Giese, BS ; McColl, C ; Allan, R ; Yin, X ; Vose, R ; Titchner, H ; Kennedy, J ; Spencer, LJ ; Ashcroft, L ; Bronnimann, S ; Brunet, M ; Camuffo, D ; Cornes, R ; Cram, TA ; Crouthamel, R ; Dominguez-Castro, F ; Freeman, JE ; Gergis, J ; Hawkins, E ; Jones, PD ; Jourdain, S ; Kaplan, A ; Kubota, H ; Le Blancq, F ; Lee, T-C ; Lorrey, A ; Luterbacher, J ; Maugeri, M ; Mock, CJ ; Moore, GWK ; Przybylak, R ; Pudmenzky, C ; Reason, C ; Slonosky, VC ; Smith, CA ; Tinz, B ; Trewin, B ; Valente, MA ; Wang, XL ; Wilkinson, C ; Wood, K ; Wyszynski, P (WILEY, 2019-10)
    Historical reanalyses that span more than a century are needed for a wide range of studies, from understanding large‐scale climate trends to diagnosing the impacts of individual historical extreme weather events. The Twentieth Century Reanalysis (20CR) Project is an effort to fill this need. It is supported by the National Oceanic and Atmospheric Administration (NOAA), the Cooperative Institute for Research in Environmental Sciences (CIRES), and the U.S. Department of Energy (DOE), and is facilitated by collaboration with the international Atmospheric Circulation Reconstructions over the Earth initiative. 20CR is the first ensemble of sub‐daily global atmospheric conditions spanning over 100 years. This provides a best estimate of the weather at any given place and time as well as an estimate of its confidence and uncertainty. While extremely useful, version 2c of this dataset (20CRv2c) has several significant issues, including inaccurate estimates of confidence and a global sea level pressure bias in the mid‐19th century. These and other issues can reduce its effectiveness for studies at many spatial and temporal scales. Therefore, the 20CR system underwent a series of developments to generate a significant new version of the reanalysis. The version 3 system (NOAA‐CIRES‐DOE 20CRv3) uses upgraded data assimilation methods including an adaptive inflation algorithm; has a newer, higher‐resolution forecast model that specifies dry air mass; and assimilates a larger set of pressure observations. These changes have improved the ensemble‐based estimates of confidence, removed spin‐up effects in the precipitation fields, and diminished the sea‐level pressure bias. Other improvements include more accurate representations of storm intensity, smaller errors, and large‐scale reductions in model bias. The 20CRv3 system is comprehensively reviewed, focusing on the aspects that have ameliorated issues in 20CRv2c. Despite the many improvements, some challenges remain, including a systematic bias in tropical precipitation and time‐varying biases in southern high‐latitude pressure fields.
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    Benefits and challenges of incorporating citizen science into university education.
    Mitchell, N ; Triska, M ; Liberatore, A ; Ashcroft, L ; Weatherill, R ; Longnecker, N ; van Rijnsoever, FJ (Public Library of Science (PLoS), 2017)
    A common feature of many citizen science projects is the collection of data by unpaid contributors with the expectation that the data will be used in research. Here we report a teaching strategy that combined citizen science with inquiry-based learning to offer first year university students an authentic research experience. A six-year partnership with the Australian phenology citizen science program ClimateWatch has enabled biology students from the University of Western Australia to contribute phenological data on plants and animals, and to conduct the first research on unvalidated species datasets contributed by public and university participants. Students wrote scientific articles on their findings, peer-reviewed each other's work and the best articles were published online in a student journal. Surveys of more than 1500 students showed that their environmental engagement increased significantly after participating in data collection and data analysis. However, only 31% of students agreed with the statement that "data collected by citizen scientists are reliable" at the end of the project, whereas the rate of agreement was initially 79%. This change in perception was likely due to students discovering erroneous records when they mapped data points and analysed submitted photographs. A positive consequence was that students subsequently reported being more careful to avoid errors in their own data collection, and making greater efforts to contribute records that were useful for future scientific research. Evaluation of our project has shown that by embedding a research process within citizen science participation, university students are given cause to improve their contributions to environmental datasets. If true for citizen scientists in general, enabling participants as well as scientists to analyse data could enhance data quality, and so address a key constraint of broad-scale citizen science programs.
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    The Australian Science Communicators conference 2020
    Ashcroft, L ; Cobb, M ; Bailey, L ; Martin, J ; Daniel, S (SCUOLA INT SUPERIORE STUDI AVANZATI-S I S S A-INT SCH ADVANCED STUDIES, 2020)
    This special issue of JCOM features six commentary articles from the research stream of the Australian Science Communicators conference, held in February 2020. These opportunistic assessments and deliberate analyses explore important themes of trust, engagement, and communication strategy across a diverse range of scientific contexts. Together, they demonstrate the importance of opportunities to come together and share the research that underpins our practice. The conference and these commentaries enable us to engage in professional development during these exceptional times when successful evidence-based science communication is of critical significance.
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    A historical climate dataset for southwestern Australia, 1830-1875
    Gergis, J ; Baillie, Z ; Ingallina, S ; Ashcroft, L ; Ellwood, T (WILEY, 2021-08)
    Abstract Southwestern Australia is a high priority area for climate research as there has been a significant, anthropogenically influenced winter rainfall decline detected in the region since 1970. Here we present the oldest daily historical climate dataset for Perth, southwestern Australia, to provide an extended record for analysing pre‐industrial climate variability and extremes from the region. This newly digitized record contains sub‐daily observations of temperature, barometric pressure, wind direction and weather remarks, including rain days, from 1830 to 1875. Following quality control and homogeneity adjustments, we demonstrate that the historical dataset reliably resolves modern characteristics of Perth's weather and climate variability, including the seasonal cycle and the ability to capture daily extremes like storm and heatwave events. We compare covariations in temperature, pressure, wind and rain days to cross‐verify our historical dataset against modern observations for Perth. We also use the historical dataset, modern Australian Bureau of Meteorology observations, the Twentieth Century Reanalysis, and historical documents to further validate our results. The multivariate method introduced in this study demonstrates that using multiple variables and data sources is a useful approach to reconstruct past variability, extremes and their societal impacts from historical observations. This is the first long instrumental record to be developed for southwestern Australia; an important region for observing pre‐industrial Indian and Southern Ocean variability and extremes. The new record from Perth provides 19th century data from a data sparse region of the Southern Hemisphere that can now be compared with daily observations from South Africa, New Zealand and southeastern Australia. This comparison will improve our understanding of contemporary changes in Southern Hemisphere atmospheric circulation.