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Download fileReconstructed monthly river flows for Irish catchments 1766-2016
journal contribution
posted on 2020-08-20, 10:12 authored by Paul O'Connor, Conor Murphy, Tom Matthews, Robert WilbyRobert WilbyA 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 JournalVolume
8Issue
1Pages
34-54Publisher
Royal Meteorological Society and John Wiley & Sons LtdVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher 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
2020-08-17Publication date
2020-10-08Copyright date
2020ISSN
2049-6060eISSN
2049-6060Publisher version
Language
- en