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Tim R. McVicar  - - - 
Top co-authors See all
A. J. Dolman

232 shared publications

Department of Earth Sciences, Vrije Universiteit Amsterdam, Boelelaan 1085, Amsterdam, 1081 HV, NETHERLANDS

Santiago Beguería

115 shared publications

Estación Experimental de Aula Dei, Consejo Superior de Investigaciones Científicas (EEAD-CSIC), Zaragoza, Spain

Diego G. Miralles

77 shared publications

Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Gent, Belgium

Tim R. McVicar

69 shared publications

CSIRO Land and Water Canberra Australian Capital Territory Australia

Fernando Domínguez-Castro

53 shared publications

Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), Zaragoza, Spain

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Publication Record
Distribution of Articles published per year 
(2002 - 2018)
Total number of journals
published in
 
26
 
Publications See all
Article 0 Reads 1 Citation Hydrologic implications of vegetation response to elevated CO2 in climate projections Yuting Yang, Michael L. Roderick, Shulei Zhang, Tim R. McVic... Published: 17 December 2018
Nature Climate Change, doi: 10.1038/s41558-018-0361-0
DOI See at publisher website
Article 0 Reads 0 Citations An approach to homogenize daily peak wind gusts: An application to the Australian series Cesar Azorin-Molina, Jose A. Guijarro, Tim R. McVicar, Blair... Published: 13 December 2018
International Journal of Climatology, doi: 10.1002/joc.5949
DOI See at publisher website
Article 0 Reads 0 Citations Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology Luk J.M. Peeters, Daniel E. Pagendam, Russell S. Crosbie, Pr... Published: 01 November 2018
Environmental Modelling & Software, doi: 10.1016/j.envsoft.2018.08.020
DOI See at publisher website ABS Show/hide abstract
A crucial decision in defining the scope of an environmental impact assessment is to delineate the initial assessment area. We developed a probabilistic methodology to determine this area, which starts by identifying a key environmental variable, maximum acceptable change and acceptable probability of exceeding that threshold. The exceedance probability is determined with a limits of acceptability rejection sampling of informed prior parameter distributions. A qualitative uncertainty analysis, a formal and systematic discussion of the main assumptions and model choices, is complemented with global sensitivity analysis of the model results to identify the major sources of uncertainty and provide guidance for further research and data collection. For the case study on coal development in the Gloucester Basin (NSW, Australia), the initial assessment extent is unlikely to extend more than 5 km from the edge of the planned coal mines. The major source of uncertainty is the planned mine water production rate.
Article 0 Reads 0 Citations Present and future Köppen-Geiger climate classification maps at 1-km resolution Hylke E. Beck, Niklaus E. Zimmermann, Tim R. McVicar, Noemi ... Published: 30 October 2018
Scientific Data, doi: 10.1038/sdata.2018.214
DOI See at publisher website ABS Show/hide abstract
We present new global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present-day (1980–2016) and for projected future conditions (2071–2100) under climate change. The present-day map is derived from an ensemble of four high-resolution, topographically-corrected climatic maps. The future map is derived from an ensemble of 32 climate model projections (scenario RCP8.5), by superimposing the projected climate change anomaly on the baseline high-resolution climatic maps. For both time periods we calculate confidence levels from the ensemble spread, providing valuable indications of the reliability of the classifications. The new maps exhibit a higher classification accuracy and substantially more detail than previous maps, particularly in regions with sharp spatial or elevation gradients. We anticipate the new maps will be useful for numerous applications, including species and vegetation distribution modeling. The new maps including the associated confidence maps are freely available via www.gloh2o.org/koppen.
Article 0 Reads 0 Citations Revisiting Pan Evaporation Trends in Australia a Decade on Clare M. Stephens, Tim R. McVicar, Fiona M. Johnson, Lucy A.... Published: 27 October 2018
Geophysical Research Letters, doi: 10.1029/2018gl079332
DOI See at publisher website
Article 0 Reads 2 Citations Fractional vegetation cover estimation by using multi-angle vegetation index Xihan Mu, Wanjuan Song, Zhan Gao, Tim R. McVicar, Randall J.... Published: 01 October 2018
Remote Sensing of Environment, doi: 10.1016/j.rse.2018.06.022
DOI See at publisher website
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