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Citation

Judson, Josiah, Chapman, Pippa J., Galdos, Marcelo and Holden, Joseph (2026) SD-TOPMODEL data from hydrological modelling of agroforestry scenarios at Kiddal Quarry Farm, Yorks, UK 2024-25. University of Leeds. [Dataset] https://doi.org/10.5518/1859

Dataset description

This dataset contains outputs generated using SD-TOPMODEL for all stages of the process of modelling catchment hydrological responses to a range of real and hypothetical agroforestry planting scenarios at Kiddal Quarry Farm, Yorkshire, between July 2024 and July 2025. The dataset includes modelled responses to both synthetic rainfall events at calibration and testing stages and catchment rainfall event data recorded between July - December 2024 at the validation stage.

Keywords:	nature-based solutions, natural flood management, agroforestry, hedges, soil, hydrology, runoff, woodland
Subjects:	F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F752 - Hydrology F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F770 - Soil science F000 - Physical sciences > F800 - Physical geographical sciences > F810 - Environmental geography
Divisions:	Faculty of Environment > School of Geography
Related resources:	Location Type https://doi.org/10.1002/hyp.70554 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	14 May 2026 10:52
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1550
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Judson, Josiah https://orcid.org/0000-0001-7364-3750 University of Leeds https://ror.org/024mrxd33 ror Chapman, Pippa J. https://orcid.org/0000-0003-0438-6855 University of Leeds https://ror.org/024mrxd33 ror Galdos, Marcelo https://orcid.org/0000-0002-6080-0726 University of Leeds https://ror.org/024mrxd33 ror Holden, Joseph https://orcid.org/0000-0002-1108-4831 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: UKRI NERC Panorama DTP, Woodland Trust Grant numbers: NE/S007458/1 Publication date: 2026 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: josiah@cantab.net Last Modified: 14 May 2026 11:03

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