O’Connor, Paul and Murphy, Conor and Matthews, Tom and Wilby, Robert L. (2021) Reconstructed monthly river flows for Irish catchments 1766–2016. Geoscience Data Journal, 8 (1). pp. 34-54. ISSN 2049-6060

Preview

Download (4MB) | Preview

Abstract

A 250-year (1766–2016) archive of reconstructed river flows is presented for 51 catchments across Ireland. By leveraging meteorological data rescue efforts with gridded precipitation and temperature reconstructions, we develop monthly river flow reconstructions using the GR2M hydrological model and an Artificial Neural Network. Uncertainties in reconstructed flows associated with hydrological model structure and parameters are quantified. Reconstructions are evaluated by comparison with those derived from quality assured long-term precipitation series for the period 1850–2000. Assessment of the reconstruction performance across all 51 catchments using metrics of MAE (9.3 mm/month; 13.3%), RMSE (12.6 mm/month; 18.0%) and mean bias (−1.16 mm/month; −1.7%), indicates good skill. Notable years with highest/lowest annual mean flows across all catchments were 1877/1855. Winter 2015/16 had the highest seasonal mean flows and summer 1826 the lowest, whereas autumn 1933 had notable low flows across most catchments. The reconstructed database will enable assessment of catchment specific responses to varying climatic conditions and extremes on annual, seasonal and monthly timescales.

Item Type:	Article
Additional Information:	Cite as:O’Connor, P, Murphy, C, Matthews, T, Wilby, RL. Reconstructed monthly river flows for Irish catchments 1766–2016. Geosci Data J. 2021; 8: 34– 54. https://doi.org/10.1002/gdj3.107
Keywords:	hydrological modelling; Ireland; reconstruction; river flow time series;
Academic Unit:	Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
Item ID:	15857
Identification Number:	https://doi.org/10.1002/gdj3.107
Depositing User:	Conor Murphy
Date Deposited:	25 Apr 2022 09:36
Journal or Publication Title:	Geoscience Data Journal
Publisher:	Wiley
Refereed:	Yes
Funders:	Environmental Protection Agency
URI:	https://rmets.onlinelibrary.wiley.com/
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads