2017

Project Start Date

01st Feb 2017

2018

Project End Date

01st May 2018

High-Resolution Gridded Datasets of Hydro-Climate Indices for Ireland

This project, co-funded by GSI and EPA, will result in high-resolution gridded hydro-climate datasets for Ireland.

 

GSI EPA logo

The overall aims for this project are to produce ‘definitive’ gridded datasets of hydro-climate variables including reference and actual evapotranspiration, along with soil moisture deficits and the Standardized Precipitation Index (SPI) for Ireland for the period 1981-2016, over daily, monthly, seasonal and yearly time steps. The need for hydro-climatic variables is a pre-requisite for both hydrological and ecological assessments, and variable like these  are crucial for ensuring water sustainability, agronomic management, and the management of flood and drought risks. The production of these datasets has been achieved by comparing the output of three downscaled ERAInterim climate simulations:

  • ICHEC WRF with 2-km grid spacing
  • ICHEC COSMO-CLM5 with 1.5-km grid spacings
  • Met Éireann re-analysis (MÉRA) with 2.5-km grid spacings

These outputs have been compared with measurements recorded at synoptic stations across Ireland in order to quantify the uncertainties of individual climate fields. A comprehensive statistical analysis has been undertaken in order to validate the datasets and assign error estimates to the climate fields. The climate data, together with the uncertainty estimates, have been made publicly available so that researchers, policy makers, Irish industry and the general public can utilise the datasets. 

All datasets made available for download are available through ICHEC's ERDDAP server, which can be found at https://erddap.ichec.ie/erddap/files/EPA_Hydroclimate

Key stakeholders have been consulted with in order to produce the data required to facilitate an update of the ‘Agroclimatic Atlas of Ireland’, and in addition on the implementation of the resulting methods in order to enhance the operational weather forecast products.

It has been shown during this study that MÉRA is the best performer of all three models and variables and is recommended by the project team to be used as the indicative datasets for Ireland for the hydro-climate variables. Figure 1 shows the annual average reference evapotranspiration across Ireland for all three models. MÉRA covers the period 1981-2016, whereas COSMO-CLM and WRF cover 1981-2017.

Annual average reference evapotranspiration using COSMO-CLM, WRF (1981-2017) and MÉRA (1981-2016) models
Figure 1: Annual average reference evapotranspiration maps using COSMO-CLM, WRF (1981-2017) and MÉRA (1981-2016).

Across Ireland there are multiple soil drainage types and this has been outlined in the Teagasc National Soil Drainage Map. This has been used following collaboration with Teagasc to create indicative datasets of actual evapotranspiration and soil moisture deficits relative to soil drainage class. Countrywide maps of these variables have also been produced for each individual drainage class. Figure 2 shows the average annual actual evapotranspiration sum across all drainage classes. Figure 3 shows the average monthly soil moisture deficits across all drainage classes.

Annual average actual evapotranspiration for COSMO-CLM, WRF and MÉRA (1981-2016) using Teagasc's National Soil Drainage Map
Figure 2: Annual average actual evapotranspiration maps for COSMO-CLM, WRF and MÉRA using the Teagasc Soil Drainage Map
Mean monthly soil moisture deficits for COSMO-CLM, WRF and MÉRA using the Teagsac National Soil Drainage Map
Figure 3: Mean monthly soil moisture deficit maps for COSMO-CLM, WRF and MÉRA using the Teagasc Soil Drainage Map

High resolution datasets of climatologically important variables such as evapotranspiration and soil moisture deficits are measured at a limited number of weather stations across Ireland, and the current lack of such datasets represents a serious knowledge gap in Irish hydrological and agro-climatic modelling. These high-resolution datasets will lead to a better understanding, not only of the physical climate system, but also of the interaction of climate and Irish society. The datasets produced will allow for an assessment of the impact of resolution, data assimilation, and NWP model choice on simulation accuracy. In addition, it is envisaged the datasets will be used as a basis for more-focused hydro-climate impact studies.

Project Participants: Christopher Werner (ICHEC), Dr Paul Nolan (ICHEC) and Dr Owen Naughton (TCD)

Partners