Randall J. Donohue
Randall J. Donohue
CSIRO Land and Water
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Global review and synthesis of trends in observed terrestrial near-surface wind speeds: Implications for evaporation
TR McVicar, ML Roderick, RJ Donohue, LT Li, TG Van Niel, A Thomas, ...
Journal of Hydrology 416, 182-205, 2012
Impact of CO2 fertilization on maximum foliage cover across the globe's warm, arid environments
RJ Donohue, ML Roderick, TR McVicar, GD Farquhar
Geophysical Research Letters 40 (12), 3031-3035, 2013
On the importance of including vegetation dynamics in Budyko's hydrological model
RJ Donohue, ML Roderick, TR McVicar
Hydrology and Earth System Sciences 11 (2), 983-995, 2007
Wind speed climatology and trends for Australia, 1975–2006: Capturing the stilling phenomenon and comparison with near‐surface reanalysis output
TR McVicar, TG Van Niel, LT Li, ML Roderick, DP Rayner, L Ricciardulli, ...
Geophysical Research Letters 35 (20), 2008
Assessing the ability of potential evaporation formulations to capture the dynamics in evaporative demand within a changing climate
RJ Donohue, TR McVicar, ML Roderick
Journal of Hydrology 386 (1-4), 186-197, 2010
Roots, storms and soil pores: Incorporating key ecohydrological processes into Budyko’s hydrological model
RJ Donohue, ML Roderick, TR McVicar
Journal of Hydrology 436, 35-50, 2012
Climate‐related trends in Australian vegetation cover as inferred from satellite observations, 1981–2006
RJ Donohue, TIMR McVICAR, ML Roderick
Global Change Biology 15 (4), 1025-1039, 2009
Hydrologic implications of vegetation response to elevated CO2 in climate projections
Y Yang, ML Roderick, S Zhang, TR McVicar, RJ Donohue
Nature Climate Change 9 (1), 44-48, 2019
Assessing the differences in sensitivities of runoff to changes in climatic conditions across a large basin
RJ Donohue, ML Roderick, TR McVicar
Journal of Hydrology 406 (3-4), 234-244, 2011
Global estimation of effective plant rooting depth: Implications for hydrological modeling
Y Yang, RJ Donohue, TR McVicar
Water Resources Research 52 (10), 8260-8276, 2016
Less bluster ahead? Ecohydrological implications of global trends of terrestrial near‐surface wind speeds
TR McVicar, ML Roderick, RJ Donohue, TG Van Niel
Ecohydrology 5 (4), 381-388, 2012
Can dynamic vegetation information improve the accuracy of Budyko’s hydrological model?
RJ Donohue, ML Roderick, TR McVicar
Journal of hydrology 390 (1-2), 23-34, 2010
Lags in hydrologic recovery following an extreme drought: Assessing the roles of climate and catchment characteristics
Y Yang, TR McVicar, RJ Donohue, Y Zhang, ML Roderick, FHS Chiew, ...
Water Resources Research 53 (6), 4821-4837, 2017
Climate change effects on water-dependent ecosystems in south-western Australia
O Barron, R Silberstein, R Ali, R Donohue, DJ McFarlane, P Davies, ...
Journal of Hydrology 434, 95-109, 2012
Deriving consistent long-term vegetation information from AVHRR reflectance data using a cover-triangle-based framework
RJ Donohue, ML Roderick, TR McVicar
Remote Sensing of Environment 112 (6), 2938-2949, 2008
Long‐term CO2 fertilization increases vegetation productivity and has little effect on hydrological partitioning in tropical rainforests
Y Yang, RJ Donohue, TR McVicar, ML Roderick, HE Beck
Journal of Geophysical Research: Biogeosciences 121 (8), 2125-2140, 2016
Fractional vegetation cover estimation by using multi-angle vegetation index
X Mu, W Song, Z Gao, TR McVicar, RJ Donohue, G Yan
Remote sensing of environment 216, 44-56, 2018
The hydrological effects of varying vegetation characteristics in a temperate water-limited basin: Development of the dynamic Budyko-Choudhury-Porporato (dBCP) model
Q Liu, TR McVicar, Z Yang, RJ Donohue, L Liang, Y Yang
Journal of Hydrology 543, 595-611, 2016
Towards a national, remote-sensing-based model for predicting field-scale crop yield
RJ Donohue, RA Lawes, G Mata, D Gobbett, J Ouzman
Field Crops Research 227, 79-90, 2018
Evaluation of the remote-sensing-based DIFFUSE model for estimating photosynthesis of vegetation
RJ Donohue, IH Hume, ML Roderick, TR McVicar, J Beringer, LB Hutley, ...
Remote Sensing of Environment 155, 349-365, 2014
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