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Multi-resolution analysis of aggregated spatial data to simulate yield and irrigation water demand at regional scales


Ojeda, J and Rezaei, EE and Remenyi, T and Webb, M and Webber, H and Kamali, B and Harris, R and Brown, J and Kidd, D and Mohammed, C and Siebert, S and Ewert, F and Meinke, H, Multi-resolution analysis of aggregated spatial data to simulate yield and irrigation water demand at regional scales, iCROPM2020 Book of Abstracts, 3-5 February 2020, Montpellier, France, pp. 195-196. (2020) [Conference Extract]

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Input data aggregation influences crop model estimates at the regional level (Eyshi Rezaei et al., 2015). Previous studies have focused on the impact of aggregating the climate data used to compute crop yields (Hoffmann et al., 2015; van Bussel et al., 2011; Zhao et al., 2015). Little is known about the combined data aggregation effect of climate (DAEc) and soil (DAEs) model inputs. This study explores the implications of using coarse resolution input data on model outputs (irrigated and rainfed yield and irrigation water demand [IWD]) in Tasmania, Australia by (i) separately assessing the DAEc and DAEs of model input data and (ii) assessing the combined impact of DAEc and DAEs. We provide a framework to quantifying the input uncertainty introduced by using aggregated data to meet the objectives of modelling exercises.

Item Details

Item Type:Conference Extract
Keywords:data resolution, scale, regional modeling, data aggregation, spatial heterogeneity
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Agriculture, land and farm management
Research Field:Agricultural spatial analysis and modelling
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Understanding climate change
Objective Field:Climate change models
UTAS Author:Ojeda, J (Dr Jonathan Ojeda)
UTAS Author:Remenyi, T (Dr Tom Remenyi)
UTAS Author:Harris, R (Dr Rebecca Harris)
UTAS Author:Mohammed, C (Professor Caroline Mohammed)
UTAS Author:Meinke, H (Professor Holger Meinke)
ID Code:137050
Year Published:2020
Deposited By:Agriculture and Food Systems
Deposited On:2020-01-29
Last Modified:2020-03-24
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