Hydrological spatial field comparison
New quantitative methods for obtaining informative comparison measures
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This research addresses the current lack ofcomprehensive, quantitative methods for comparinghydrological spatial fields. Comparison of spatialfields is needed for assessing hydrological modelsand for data assimilation. The methods that arecurrently used for quantitative comparison generallyfail to consider the spatial arrangement of elementvalues within spatial fields. Instead, there is adependence on qualitative methods (e.g. visualcomparison) to undertake comparison of many aspects(e.g. intermediate scale features), but such methodsare non-repeatable, often biased and difficult toreport on. ...
This research addresses the current lack of
comprehensive, quantitative methods for comparing
hydrological spatial fields. Comparison of spatial
fields is needed for assessing hydrological models
and for data assimilation. The methods that are
currently used for quantitative comparison generally
fail to consider the spatial arrangement of element
values within spatial fields. Instead, there is a
dependence on qualitative methods (e.g. visual
comparison) to undertake comparison of many aspects
(e.g. intermediate scale features), but such methods
are non-repeatable, often biased and difficult to
report on. At present, the hydrological community
continues to develop its ability to observe and model
spatial fields, but comprehensive model assessment is
still in its infancy. The methods developed in this
research provide a new suite of tools to the modeller
and, if adopted, can significantly advance the art
and science of spatial hydrological modelling.
comprehensive, quantitative methods for comparing
hydrological spatial fields. Comparison of spatial
fields is needed for assessing hydrological models
and for data assimilation. The methods that are
currently used for quantitative comparison generally
fail to consider the spatial arrangement of element
values within spatial fields. Instead, there is a
dependence on qualitative methods (e.g. visual
comparison) to undertake comparison of many aspects
(e.g. intermediate scale features), but such methods
are non-repeatable, often biased and difficult to
report on. At present, the hydrological community
continues to develop its ability to observe and model
spatial fields, but comprehensive model assessment is
still in its infancy. The methods developed in this
research provide a new suite of tools to the modeller
and, if adopted, can significantly advance the art
and science of spatial hydrological modelling.
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