TY - JOUR
T1 - Spatio-temporal modelling of rainfall in the Murray-Darling Basin
AU - Nowak, Gen
AU - Welsh, A. H.
AU - O'Neill, Terence
AU - Feng, Lingbing
PY - 2018/2/1
Y1 - 2018/2/1
N2 - The Murray-Darling Basin (MDB) is a large geographical region in southeastern Australia that contains many rivers and creeks, including Australia’s three longest rivers, the Murray, the Murrumbidgee and the Darling. Understanding rainfall patterns in the MDB is very important due the significant impact major events such as droughts and floods have on agricultural and resource productivity. We propose a model for modelling a set of monthly rainfall data obtained from stations in the MDB and for producing predictions in both the spatial and temporal dimensions. The model is a hierarchical spatio-temporal model fitted to geographical data that utilises both deterministic and data-derived components. Specifically, rainfall data at a given location are modelled as a linear combination of these deterministic and data-derived components. A key advantage of the model is that it is fitted in a step-by-step fashion, enabling appropriate empirical choices to be made at each step.
AB - The Murray-Darling Basin (MDB) is a large geographical region in southeastern Australia that contains many rivers and creeks, including Australia’s three longest rivers, the Murray, the Murrumbidgee and the Darling. Understanding rainfall patterns in the MDB is very important due the significant impact major events such as droughts and floods have on agricultural and resource productivity. We propose a model for modelling a set of monthly rainfall data obtained from stations in the MDB and for producing predictions in both the spatial and temporal dimensions. The model is a hierarchical spatio-temporal model fitted to geographical data that utilises both deterministic and data-derived components. Specifically, rainfall data at a given location are modelled as a linear combination of these deterministic and data-derived components. A key advantage of the model is that it is fitted in a step-by-step fashion, enabling appropriate empirical choices to be made at each step.
UR - http://www.scopus.com/inward/record.url?scp=85039417101&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2017.11.021
DO - 10.1016/j.jhydrol.2017.11.021
M3 - Article
SN - 0022-1694
VL - 557
SP - 522
EP - 538
JO - Journal of Hydrology
JF - Journal of Hydrology
ER -