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Dive into the research topics where A. M. Ukkola is active.

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Featured researches published by A. M. Ukkola.


Environmental Research Letters | 2016

Land surface models systematically overestimate the intensity, duration and magnitude of seasonal-scale evaporative droughts

A. M. Ukkola; M. G. De Kauwe; A. J. Pitman; M. J. Best; Gab Abramowitz; Vanessa Haverd; Mark Decker; Ned Haughton

Land surfacemodels (LSMs)must accurately simulate observed energy andwater fluxes during droughts in order to provide reliable estimates of futurewater resources.We evaluated 8 different LSMs (14model versions) for simulating evapotranspiration (ET) during periods of evaporative drought (Edrought) across sixflux tower sites. Using an empirically defined Edrought threshold (a decline in ET below the observed 15th percentile), we show that LSMs simulated 58 Edrought days per year, on average, across the six sites,∼3 times asmany as the observed 20 d. The simulated Edrought magnitudewas∼8 times greater than observed and twice as intense. Ourfindings point to systematic biases across LSMswhen simulating water and energy fluxes underwater-stressed conditions. The overestimation of key Edrought characteristics undermines our confidence in themodels’ capability in simulating realistic drought responses to climate change and haswider implications for phenomena sensitive to soilmoisture, including heat waves.


Environmental Research Letters | 2016

Vegetation plays an important role in mediating future water resources

A. M. Ukkola; Trevor F. Keenan; Doug I. Kelley; I. C. Prentice

Future environmental change is expected to modify the global hydrological cycle, with consequences for the regional distribution of freshwater supplies. Regional precipitation projections, however, differ largely between models, making future water resource projections highly uncertain. Using two representative concentration pathways and nine climate models, we estimate 21st century water resources across Australia, employing both a process-based dynamic vegetation model and a simple hydrological framework commonly used in water resource studies to separate the effects of climate and vegetation on water resources. We show surprisingly robust, pathway-independent regional patterns of change in water resources despite large uncertainties in precipitation projections. Increasing plant water use efficiency (due to the changing atmospheric CO2) and reduced green vegetation cover (due to the changing climate) relieve pressure on water resources for the highly populated, humid coastal regions of eastern Australia. By contrast, in semi-arid regions across Australia, runoff declines are amplified by CO2-induced greening, which leads to increased vegetation water use. These findings highlight the importance of including vegetation dynamics in future water resource projections.


Journal of Hydrometeorology | 2018

Evaluating CMIP5 Model Agreement for Multiple Drought Metrics

A. M. Ukkola; A. J. Pitman; M. G. De Kauwe; Gab Abramowitz; Nadja Herger; Jason P. Evans; Mark Decker

AbstractGlobal climate models play an important role in quantifying past and projecting future changes in drought. Previous studies have pointed to shortcomings in these models for simulating droug...


Nature Climate Change | 2016

Reduced streamflow in water-stressed climates consistent with CO2 effects on vegetation

A. M. Ukkola; I. Colin Prentice; Trevor F. Keenan; Albert I. J. M. van Dijk; Neil R. Viney; Ranga B. Myneni; Jian Bi


Hydrology and Earth System Sciences | 2013

A Worldwide analysis of trends in water-balance evapotranspiration

A. M. Ukkola; I. C. Prentice


Journal of Advances in Modeling Earth Systems | 2017

New turbulent resistance parameterization for soil evaporation based on a pore‐scale model: Impact on surface fluxes in CABLE

Mark Decker; Dani Or; A. J. Pitman; A. M. Ukkola


Hydrological Processes | 2014

Hydrological evaluation of the LPX dynamic global vegetation model for small river catchments in the UK

A. M. Ukkola; S.J. Murray


Hydrology and Earth System Sciences | 2017

Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate

Sanaa Hobeichi; Gabriel Abramowitz; Jason P. Evans; A. M. Ukkola


Geoscientific Model Development | 2017

FluxnetLSM R package (v1.0): A community tool for processing FLUXNET data for use in land surface modelling

A. M. Ukkola; Ned Haughton; Martin G. De Kauwe; Gab Abramowitz; A. J. Pitman


Geophysical Research Letters | 2018

Evaluating the Contribution of Land-Atmosphere Coupling to Heat Extremes in CMIP5 Models

A. M. Ukkola; A. J. Pitman; Markus G. Donat; M. G. De Kauwe; Oliver Angélil

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A. J. Pitman

University of New South Wales

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Mark Decker

University of New South Wales

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Gab Abramowitz

University of New South Wales

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Jason P. Evans

University of New South Wales

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Ned Haughton

University of New South Wales

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Trevor F. Keenan

Lawrence Berkeley National Laboratory

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