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High-resolution Gridded Datasets of Hydro-climate Indices for Ireland
Werner, Christopher Nolan, Paul Naughton, Owen
Werner, Christopher
Nolan, Paul
Naughton, Owen
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Christopher Werner, Paul Nolan, Owen Naughton, 'High-resolution Gridded Datasets of Hydro-climate Indices for Ireland', [report], Environmental Protection Agency, 2019-01, EPA Research Report, 267, 2019
Abstract
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This report describes the application of numerical weather prediction (NWP) simulations to develop high-quality, long-term, gridded climate datasets of hydro-climate variables for Ireland, covering the period 1981–2016. One approach to generating the requisite gridded datasets is through the use of NWP downscaled simulations. NWP models use mathematical models of the atmosphere to forecast weather based on current weather conditions. NWPs can also be used to “reanalyse” historical weather conditions, whereby past weather observations such as satellite, surface and upper-air conditions are used as model inputs. This report describes the application of downscaled NWP models to produce gridded climate datasets of key hydro-climate variables for Ireland. In this research the performances of three NWP models (COSMO-CLM, WRF and MÉRA) are compared and analysed to assess their ability to accurately represent hydro-climate variables, focusing on reference evapotranspiration (ET0) as calculated using the Food and Agriculture Organization of the United Nations (FAO) Penman–Monteith equation. All datasets are available for download through the ICHEC ERDDAP server, which can be found at https://erddap.ichec.ie/erddap/files/ EPA_Hydroclimate.
Date
2019-01
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Environmental Protection Agency
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Research_Report_267.pdf
Adobe PDF, 7.79 MB