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Reconstructed monthly river flows for Irish catchments 1766-2016

journal contribution
posted on 20.08.2020 by Paul O'Connor, Conor Murphy, Tom Matthews, Robert Wilby
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.

Funding

Irish Research Council

Environmental Protection Agency through the JPI/AXIS project CROSSDRO (2019-CCRP-MS.60)

History

School

  • Social Sciences and Humanities

Department

  • Geography and Environment

Published in

Geoscience Data Journal

Publisher

Wiley Open Access

Version

AM (Accepted Manuscript)

Acceptance date

17/08/2020

eISSN

2049-6060

Language

en

Depositor

Dr Tom Matthews. Deposit date: 18 August 2020

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