Relevant bibliographies by topics / Bureau of Meteorology

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  2. Dissertations / Theses
  3. Books
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Academic literature on the topic 'Bureau of Meteorology'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Bureau of Meteorology"

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Greenslade, Diana, and Leon Majewski. "Bureau of Meteorology Annual R&D Workshop 2019." Journal of Southern Hemisphere Earth Systems Science 70, no. 1 (2020): 106. http://dx.doi.org/10.1071/esv70n1_fo2.

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Grotz, Reinhold. "Australian Government, Bureau of Meteorology, ed, Climate of Australia." Zeitschrift für Australienstudien / Australian Studies Journal 25 (2011): 118–21. http://dx.doi.org/10.35515/zfa/asj.25/2011.12.

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May, P. T., F. Cummings, J. Koutsovasilis, R. Jones, and D. Shaw. "The Australian Bureau of Meteorology 1280-MHz Wind Profiler." Journal of Atmospheric and Oceanic Technology 19, no. 6 (June 2002): 911–23. http://dx.doi.org/10.1175/1520-0426(2002)019<0911:tabomm>2.0.co;2.

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ZILLMAN, J. W., D. GRIERSMITH, J. LE MARSHALL, and D. J. GAUNTLETT. "Remote sensing applications in the Australian Bureau of Meteorology." International Journal of Remote Sensing 11, no. 11 (November 1990): 1979–97. http://dx.doi.org/10.1080/01431169008955156.

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Gamble, Felicity, Grant Beard, Andrew Watkins, David Jones, Catherine Ganter, Vanessa Webb, and Alex Evans. "Tracking the El Nino-Southern Oscillation in real-time: a staged communication approach to event onset." Journal of Southern Hemisphere Earth Systems Science 67, no. 2 (2017): 64. http://dx.doi.org/10.1071/es17006.

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Communicating the development of El Niño and La Niña events is often challenging, largely due to the general misconception that the transition to an event can occur rapidly – like flicking a switch. Additionally, in Australia the association of El Niño with drought, and La Niña with flood, and the impacts that result, can often cloud the message. The Australian Bureau of Meteorology is responsible for issuing updates on the current status of the El Niño-Southern Oscillation (ENSO), and declaring the onset and demise of an event. To assist in the communication of this often complex message, the Bureau of Meteorology developed an online tool, the ENSO Outlook, to keep stakeholders informed of the potential for El Niño or La Niña to develop in the upcoming seasons.
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H Sparks, Adam, Mark Padgham, Hugh Parsonage, and Keith Pembleton. "bomrang: Fetch Australian Government Bureau of Meteorology Data in R." Journal of Open Source Software 2, no. 17 (September 21, 2017): 411. http://dx.doi.org/10.21105/joss.00411.

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Chubb, Thomas H., Michael J. Manton, Steven T. Siems, and Andrew D. Peace. "Evaluation of the AWAP daily precipitation spatial analysis with an independent gauge network in the Snowy Mountains." Journal of Southern Hemisphere Earth Systems Science 66, no. 1 (2016): 55. http://dx.doi.org/10.1071/es16006.

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The Bureau of Meteorology&apos;s Australian Water Availability Project (AWAP) daily precipitation analysis provides high resolution rainfall data by interpolating rainfall gauge data, but when evaluated against a spatially dense independent gauge network in the Snowy Mountains large systematic biases are identified. Direct comparisons with the gauge data in May–September between 2007 and 2014 reveal average root mean square errors of about 4.5 mm, which is slightly greater than the average daily precipitation amount, and the errors are larger for higher elevation gauges. A standard Barnes objective analysis is per-formed on the combined set of independent gauges and Bureau of Meteorology gauges in the region to examine the spatial characteristics of the differences. The largest differences are found on the western (windward) slopes, where the Barnes analysis is up to double the value of the AWAP analysis. These differences are attributed to a) the lack of Bureau of Meteorology gauges in the area to empirically represent the precipitation climatology, and b) the inability of the AWAP analysis to account for the steep topography exposed to the prevailing winds. At high elevation (&gt;1400 m) the Barnes analysis suggests that the precipitation amount is about fifteen percent greater than that of the AWAP analysis, where the difficulties of measuring frozen precipitation likely have a large impact.
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Bettio, Lynette, John R. Nairn, Steven C. McGibbony, Pandora Hope, Andrew Tupper, and Robert J. B. Fawcett. "A heatwave forecast service for Australia." Proceedings of the Royal Society of Victoria 131, no. 1 (2019): 53. http://dx.doi.org/10.1071/rs19006.

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The Australian Bureau of Meteorology monitors, researches, predicts and communicates Australia’s weather and climate. Australia’s mean temperature has risen by over 1°C since 1910, leading to an increase in the frequency of extreme heat events. Extreme heat can profoundly impact human health, infrastructure and the environment. Research conducted at the Bureau and elsewhere shows that climate change is impacting the intensity and frequency of extreme heat events. One way that the Bureau has responded to this challenge is by providing a forecast service specifically targeted at identifying heatwaves. The heatwave service identifies areas expected to be impacted by three or more consecutive days of unusually high maximum and minimum temperatures on a national map. The service has been developed with clear impact-based categories of heatwave severity. This heatwave service is now available operationally on the Bureau’s website during the heatwave season (nominally November to March) and is proving a valuable tool for engaging the community, including emergency services, with forecasts and warnings of extreme heat.
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Govekar, Pallavi Devidas, Christopher Griffin, and Helen Beggs. "Multi-Sensor Sea Surface Temperature Products from the Australian Bureau of Meteorology." Remote Sensing 14, no. 15 (August 6, 2022): 3785. http://dx.doi.org/10.3390/rs14153785.

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Sea surface temperature (SST) products that can resolve fine scale features, such as sub-mesoscale eddies, ocean fronts and coastal upwelling, are increasingly in demand. In response to user requirements for gap-free, highest spatial resolution, best quality and highest accuracy SST data, the Australian Bureau of Meteorology (BoM) produces operational, real-time Multi-sensor SST level 3 products by compositing SST from Advanced Very-High-Resolution Radiometer (AVHRR) sensors on Meteorological Operational satellite (MetOp)-B and National Oceanic and Atmospheric Administration (NOAA) 18, along with SST from Visible Infrared Imaging Radiometer Suite (VIIRS) sensors on the Suomi National Polar-orbiting Partnership (Suomi NPP) and NOAA 20 polar-orbiting satellites for the Australian Integrated Marine Observing System (IMOS) project. Here we discuss our method to combine data from different sensors and present validation of the satellite-derived SST against in situ SST data. The Multi-sensor Level 3 Super Collated (L3S) SSTs exhibit significantly greater spatial coverage and improved accuracy compared with the pre-existing IMOS AVHRR-only L3S SSTs. When compared to the Geo Polar Blended level 4 analysis SST data over the Great Barrier Reef, Multi-sensor L3S SST differs by less than 1 °C while exhibiting a wider range of SSTs over the region. It shows more variability and restores small-scale features better than the Geo Polar Blended level 4 analysis SST data. The operational Multi-sensor L3S SST products are used as input for applications such as IMOS OceanCurrent and the BoM ReefTemp Next-Generation Coral Bleaching Nowcasting service and provide useful insight into the study of marine heatwaves and ocean upwelling in near-coastal regions.
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Carrara, E., J. Sharples, and E. Nation. "Making Australian groundwater data accessible: the value of collaboration." Water Practice and Technology 12, no. 3 (August 1, 2017): 675–80. http://dx.doi.org/10.2166/wpt.2017.070.

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Access to nationally consistent information is essential to support informed decision-making about Australia's vital groundwater resources. However, until now it has been difficult to depict a seamless national picture of groundwater resources and frame groundwater issues at a national scale. This is because groundwater data is typically managed locally without consistent format or terminology. Under the Commonwealth Water Act, the Bureau of Meteorology now collects, standardises, stores and analyses groundwater information from Australian lead water agencies to ensure the best available information is on hand to help understand this complex and largely hidden resource. One of the main objectives of the Bureau in the last few years has been to adopt a collaborative approach and work closely with State and Territory governments and other Commonwealth agencies to develop a consistent representation of Australian groundwater that is accessible and can be easily downloaded. This has resulted in the Bureau's Groundwater Information Suite.
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Dissertations / Theses on the topic "Bureau of Meteorology"

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Johnson, M. E., and n/a. "The application of statistics to the mesoscale study of wind speed and direction in the Canberra region." University of Canberra. Information Sciences, 1986. http://erl.canberra.edu.au./public/adt-AUC20060802.154807.

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The temporal and spatial variability in wind speed and direction was investigated in a study of the mesoscale wind fields in the Canberra region. The statistical description of the winds was based on twelve months of three-hourly data at seventeen sites obtained in a joint program carried out by the Division of Land Use Research, CSIRO, the National Capital Development Commission, and the Bureau of Meteorology. The statistical analysis proceeded in stages. The first two stages were concerned with the determination and examination of averages and measures of dipersion. Information on the temporal variability in regional wind, defined as the average of the winds at the seventeen collection sites, provided the first insight into the important determinants of winds in the region. The data were then categorized on the basis of the information thus obtained, and the averages over time for each site were analysed in each category. The variation between sites revealed the extent of the spatial variability in the region. For each category, for each site, there were perturbations around the average state, and in the last stage of the study, the analysis examined how the perturbations were related across sites using correlation coefficients. Generalized Procrustes Analysis was used, followed by the extensive use of cluster analysis. Linear modelling techniques were used at all stages of the study, not only for wind speed, but also for wind direction which is an angular variate and thus required different modelling procedures. The models related the variables of interest to terrain features such as position, elevation and surface roughness. These models allowed an informed judgement to be made on the likelihood of accurately estimating the winds at other locations in the region using interpolation techniques.
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Wang, Yao-Wu, and 王耀武. "Key Elements Pertinent to Integrated Information Service of Meteorological Agencies – A Case Study of Navy Meteorology & Oceanography Bureau." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/94057154598881126208.

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Zheng, Letian. "Spatio-temporal models of Australian rainfall and temperature data." Phd thesis, 2011. http://hdl.handle.net/1885/149934.

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This thesis presents three essays on the analysis of historical meteorological data in Australia. The Australian Bureau of Meteorology has established a network of more than one thousand stations across Australia that have recordings dating from early last century, resulting in a large dataset of meteorological records. These data provide important information on the dynamics of the Australian climate system and systematic investigation using these data can help us to better understand our climate and prepare for possible changes. The purpose of this thesis is to develop models and methods to analyse such meteorological data from a statistical perspective. In Chapter 2, a spatia-temporal model is developed based on monthly average temperature data at 177 locations in south-eastern Australia over 40 years. Guided by a preliminary analysis, a model with components dealing with spatial varying mean and seasonality, short-term and long-term temporal trends is built, and the space-time interaction is modelled by the kernel-convolution method. It is shown that the temperature has become warmer in most of the south-eastern Australia during the period under investigation. In Chapter 3, a new duration-dependent Hidden Markov Model is proposed as an extension to the Hidden Markov Model (HMM) and Non-homogeneous Hidden Markov Model (NHMM) which assumes that the transition probabilities are either constant or only depend on some independent variables. The possibility of duration-dependent effects is formally considered in this chapter where the transition probabilities are allowed to be explicitly correlated to duration - how long the hidden system has been in the current state. This approach is used to model the amount of daily rainfall amount at 5 locations in Darwin, Northern Territory. For data arising from climate phenomenon, such as the temperature and rainfall data considered here, it is common for outliers to be present. The presence of outliers could unduly influence the results of any analysis that are conducted and make conclusion non-robust. But it is often difficult to detect them simultaneously because of the masking effect. Motivated by this problem, a general method is proposed in Chapter 4 for identifying multiple influential observations in regression models. The ability of this method is tested and illustrated by both a thorough simulation and several examples.
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Books on the topic "Bureau of Meteorology"

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Meteorology, Australia Bureau of, ed. The weather watchers: 100 years of the Bureau of Meteorology. Carlton, Vic: Melbourne University Publishing, 2007.

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O'Brien, D. M. Technical assessment of the joint CISRO/Bureau of Meteorology proposal for a geostationary image/sounder over the Australian region. Melbourne: Commonwealth Scientific and Industrial Research Organization, Australia, Division of Atmospheric Research, 1987.

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Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies, National Academies of Sciences, Engineering, and Medicine, and Committee for the Review of the BOEM "Air Quality Modeling in the Gulf of Mexico" Study. Review of the Bureau of Ocean Energy Management Air Quality Modeling in the Gulf of Mexico Region Study. National Academies Press, 2020.

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Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies, National Academies of Sciences, Engineering, and Medicine, and Committee for the Review of the BOEM "Air Quality Modeling in the Gulf of Mexico" Study. Review of the Bureau of Ocean Energy Management Air Quality Modeling in the Gulf of Mexico Region Study. National Academies Press, 2020.

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Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies, National Academies of Sciences, Engineering, and Medicine, and Committee for the Review of the BOEM "Air Quality Modeling in the Gulf of Mexico" Study. Review of the Bureau of Ocean Energy Management Air Quality Modeling in the Gulf of Mexico Region Study. National Academies Press, 2020.

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United States. Bureau of Reclamation. Denver Office. Applied Sciences Branch., ed. Acid precipitation and Bureau of Reclamation water resources: Potential effects and sensitivity of storage reservoirs. Denver, Colo: Applied Sciences Branch, Research and Laboratory Services Division, Denver Office, Bureau of Reclamation, U.S. Dept. of the Interior, 1989.

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Book chapters on the topic "Bureau of Meteorology"

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Pagano, T. C., J. F. Elliott, B. G. Anderson, and J. K. Perkins. "Australian Bureau of Meteorology Flood Forecasting and Warning." In Flood Forecasting, 3–40. Elsevier, 2016. http://dx.doi.org/10.1016/b978-0-12-801884-2.00001-3.

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Seebeck, Lesley, Tim F. Pugh, Damian Aigus, Joerg Henrichs, Andrew Khaw, Tennessee Leeuwenburg, James Mandilas, et al. "Resilient HPC for 24×7×365 Weather Forecast Operations at the Australian Government Bureau of Meteorology." In Contemporary High Performance Computing, 1–30. CRC Press, 2019. http://dx.doi.org/10.1201/9781351036863-1.

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Cardoso, Edna, Ilda Novo, Nuno Moreira, Pedro Silva, Álvaro Silva, and Vanda Pires. "Clusters analysis applied to drought and forest fires in mainland Portugal (NUT III regions) from 1980 to 2019." In Advances in Forest Fire Research 2022, 1054–61. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_159.

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The Australian Fire Danger Rating System (AFDRS) was launched on 1 September 2022, bringing a generational change to the way that Australia calculates and communicates fire danger. Its focus is improved public safety and reduced impacts of bushfires though: • Improving the science behind fire danger predictions. • Improving the way that fire danger is communicated. • Providing government and industry with better decision-making tools. • Reducing future costs associated with bushfire impacts. The previous fire danger rating system was introduced in the 1960’s by Australia’s first full-time bushfire researcher, Alan McArthur, based on extensive experimental fires. While useful, the system included only two fire behaviour models (dry sclerophyll forest and grassland), was not easily updateable and fires were being experienced that increasingly exceeded its design parameters. In July 2014, Senior Officers and Ministers agreed that the development of a new system was a national priority. The new system was developed by the New South Wales Rural Fire Service in collaboration with the Bureau of Meteorology, all Australian states and territories and the Commonwealth government. Program management and system implementation were coordinated by AFAC (Australia’s National Council for Fire and Emergency Services). The new AFDRS uses contemporary fire behaviour science, makes better use of available data and uses software infrastructure that can be continuously improved. The AFDRS starts with eight fire behaviour models representing a representative range of Australian vegetation types, it captures current fuel information, uses satellite data, integrates weather from the Bureau of Meteorology and calculates fire danger down to a 1.5km by 1.5-kilometer grid. These calculations are linked to tools that assist fire operational decision-making via a Fire Behaviour Index that is calibrated to operational implications for fire management. A separate arm of the project developed a public-facing Fire Danger Rating framework, guided by one of Australia’s largest social research projects. The research found that, while fire danger signage was well recognised, few acted on fire danger ratings to plan their activities. Focus groups and subsequent surveys found that the community preferred a simplified public-facing system where each fire danger rating had a distinct call to action. The implementation of the new system required an enormous effort from all levels of government across all States and Territories as well as the Commonwealth. It required updates to legislation, policy, procedures, web pages and other IT infrastructure, as well as replacement of physical signage. However, as a result, Australia has a significantly new way of calculating and communicating fire danger, that is continuously improvable and which will bring benefits for decades to come.
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"After the mid-1970s, the low values of the SOI were hnaovteab cc eoemnp th aeniceadsebybedfrooruegthhtastats im wei . despread as would itm hese apparent changes demand so mAet th st eud ve yryolfea th st e , sta p ti lsitciactailom ns e th fo ordsseoarso cl niaml at peremdo ic dteilosn . , whether with The strength of the relationshi Nino-Southern Oscillation and ps Aubse tr taw li eaennctlhiemaE te l ----- t eo (1 ro 9l9o3 gic va fsoyrs ri te a m tio sns fo mrecaln im s ecast schemes atthe at i a re prted is icrteiloan ti , vealnyds em ismep ve le ratlodd if efveerleonpt different organisations -s eorm gi engg . ov Seor , n m in e n th teagfeuntcu ie re s , , ----- d so is m tr eibpurtiivnagtef or oercgaasn ts is fao ti rodnrsou -g hwti . llTbhe is p se re em pa sriln ik g and lead to confusion, since the systems and forecast eslywtio ll differ. In the past, such confusion has at times led consumers to doubt the credibility of the forecasts; such doubts will continue to arise. strategies to deal with an increas W ing e m nu u m st bdeerv is oef A (p uosttern al tiiaalilsy to cboenn fl eifcittin fr g o ) mftohreecparsetds ict oafb il d it ryopurgohvti , deidf ibsyntohteoEvleN rc ionmo-eS , oAuutshte ra rln ia Owsicli lllcao ti notn in . uIefttho is bceha su ll bejnegcet to th South eeerxnceO ss climate variability produced by El Nino- tive aspects o sc fitlh la etipohnew no it m ho euntong ’ asin in in fl guefn ro ce m . the posi­ Beth Lavery provided the drought time series for FTihgeurSeO3I . 1 v . alCua es rs tfeonr Frederiksen p the figures we rroevipdreodviFdiegdurbey3t . h3e . Bureau of Meteorology’s National Climate Centre." In Droughts, 79. Routledge, 2016. http://dx.doi.org/10.4324/9781315830896-56.

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Conference papers on the topic "Bureau of Meteorology"

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BERMOUS, I., M. NAUGHTON, and W. BOURKE. "SUPERCOMPUTING UPGRADE AT THE AUSTRALIAN BUREAU OF METEOROLOGY." In Proceedings of the Eleventh ECMWF Workshop. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701831_0010.

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May, Peter, Alain Protat, Alan Seed, Susan Rennie, Xingbao Wang, Claire Cass, and Aoife Murphy. "The use of advanced radar in the Bureau of Meteorology." In 2013 International Conference on Radar. IEEE, 2013. http://dx.doi.org/10.1109/radar.2013.6651952.

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LOGAN, L. W. "AUSTRALIAN BUREAU OF METEOROLOGY – IMPLICATIONS OF TERAFLOP COMPUTATION FOR REGIONAL FORECASTING." In Proceedings of the Tenth ECMWF Workshop on the Use of High Performance Computers in Meteorology. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704832_0027.

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"WAFARi: A new modelling system for Seasonal Streamflow Forecasting service of the Bureau of Meteorology, Australia." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.e12.shin.

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"Ocean meets river: connecting Bureau of Meteorology ocean forecasts and river height predictions for improved flood warnings." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.e12.taylor.

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Reports on the topic "Bureau of Meteorology"

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Smith, Grant. Ensemble Methods: Nowcasting to Climate Change - Abstracts of the Bureau of Meteorology Annual R and D Workshop, 26th November to 30th November 2018, Melbourne, Australia. Edited by Keith Day, Saima Aijaz, Surendra Rauniyar, Carlos Velasco-Forero, and Meelis Zidikheri. Chair Michael Naughton. Bureau of Meteorology, November 2018. http://dx.doi.org/10.22499/4.0030.

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