gdj3.107.pdf (4.21 MB)

Reconstructed monthly river flows for Irish catchments 1766-2016

Download (4.21 MB)
journal contribution
posted on 20.08.2020, 10:12 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. Grant Number: GOIPG/2017/421

Environmental Protection Agency. Grant Number: CROSSDRO (2019‐CCRP‐MS.60)

History

School

  • Social Sciences and Humanities

Department

  • Geography and Environment

Published in

Geoscience Data Journal

Publisher

Royal Meteorological Society and John Wiley & Sons Ltd

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Wiley under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

17/08/2020

Publication date

2020-10-08

Copyright date

2020

ISSN

2049-6060

eISSN

2049-6060

Language

en

Depositor

Dr Tom Matthews. Deposit date: 18 August 2020

Licence

Exports

Logo branding

Categories

Licence

Exports