Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1029/2004WR003851
Title (Primary) Modeling data relationships with a local variance reducing technique: applications in hydrology
Author Bárdossy, A.; Pegram, G.G.S.; Samaniego, L. ORCID logo
Source Titel Water Resources Research
Year 2005
Department CHS
Volume 41
Issue 8
Page From W08404
Language englisch
Keywords estimation; forecasting; local estimators; nearest neighbor
Abstract The assessment of an appropriate function describing the relationship between hydrological variables is a frequent problem. The usual way of estimating an overall function is a difficult task if the relationship between the variables is highly nonlinear. Nearest neighbor methods provide an alternative. In this paper different generalizations of the nearest neighbor method are suggested. Besides using different estimators the problem of finding an appropriate distance measure is discussed. Linear embedding of the observation space into an appropriate Euclidean space can improve the distance-based methods substantially. The suggested transformations and the corresponding local linear estimators are applied to two different examples: the prediction of local discharge characteristics from catchment properties and a simple 1 day flood forecasting problem.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=3170
Bárdossy, A., Pegram, G.G.S., Samaniego, L. (2005):
Modeling data relationships with a local variance reducing technique: applications in hydrology
Water Resour. Res. 41 (8), W08404 10.1029/2004WR003851