Controls on lag time in Philippine catchments identified using rainfall–runoff modelling and a generalized additive model (GAM)

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http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/7613 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/7613 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/7613 archive 32968 disk0/00/00/21/97 2026-03-02 14:51:07 2026-03-02 14:51:19 2026-03-02 14:51:07 data_collection show Tolentino Pamela Louise M. 49364 Hurst Martin D. 36737 0000-0002-9822-076X Williams Richard D. 34783 0000-0001-6067-1947 Hoey Trevor B. Boothroyd Richard J. 51341 0000-0001-9742-4229 glaresearchdata:2026-02-26-2197 Controls on lag time in Philippine catchments identified using rainfall–runoff modelling and a generalized additive model (GAM) 30400000 This dataset comprises an integrated catchment-scale database developed to investigate the environmental controls on rainfall–runoff lag time in Philippine catchments. It combines derived lag time metrics from rainfall–runoff modelling with physiographic and landscape predictor variables, including topographic indices and land use/land cover classifications. The dataset was constructed to support generalized additive model (GAM) analyses aimed at identifying non-linear relationships between catchment characteristics and hydrological response timing. It enables replication of the statistical modelling, uncertainty assessment (via bootstrapping), and predictive analyses presented in Tolentino et al. (2026). 2026-02-26 University of Glasgow 10.5525/gla.researchdata.2197 Code Spreadsheet Other University of Glasgow 303063 Catchment susceptibility to hydrometeorological events: sediment flux and geomorphic change as drivers of flood risk in the Philippines Richard Williams Natural Environment Research Council (NERC) NE/S003312/1 GES - Geography FALSE English 2014 2020 2036-02-26 R email FALSE FALSE