Numerical Weather Prediction data

HIGH VALUE
Published by: Met Éireann
Category: Environment
Views: 442
Openness rating:

Near-real-time meteorological products from the HARMONIE atmospheric model. NWP computer models use high performance computers to solve a set of hydro-dynamical equations that mathematically describe motions in the atmosphere. NWP simulations are used along with the skill of experienced forecasters to predict future weather events. There are many inputs to our prediction model such as, previous model run, current weather observations, marine buoy data and satellite imagery to name a few. The two main components of any atmospheric model are known as the dynamics and the physics. For the dynamics, we divide the forecast region into a grid and use mathematical algorithms to solve the equations governing the motions of the atmosphere at each grid-point. Currently, this grid has a 2km horizontal resolution. The physics of the model considers the key processes which occur at scales smaller than this, and thus are not “seen” by the grid. These include solar radiation and turbulence. The data presented here are from the control member of the ensemble NWP system. Each file represents the next 60 steps of the forecast. Each hourly file is availavble for approximately 24 hours here. Every effort is made to have a complete model run in each fie, that is, all 60 steps of the forecast, however due to timing and processing occasionally a file may not have all steps. This data is released in response to the EU's open data directive. For official weather forecasts please see met.ie We will be removing this page in the coming weeks. Access to NWP data can now be found here https://opendata.met.ie

Data Resources (25)

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NWP details

Data Resource Preview - NWP details

Data Owner Met Éireann
Data Owner Email opendata@met.ie
Theme Environment
Rights notes # Met Éireann Creative Commons Attribution Licence Notice ## Terms and Conditions: * Met Éireann retains Intellectual Property Rights and copyright over our data. * Met Éireann must be acknowledged (attributed) as the source. * Met Éireann does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use. * Users must remove attribution if requested by Met Éireann. ## Licence This data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ ## Summary You are free to: * Share — copy and redistribute the material in any medium or format * Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: * You must give appropriate credit (attribution) to Met Éireann as outlined below, provide a link to the licence, and indicate if changes were made. * No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the licence permits. ## Attribution Met Éireann data and its derivatives must be accredited with the following 5 statements. 1. Copyright statement: Copyright Met Éireann 2. Source www.met.ie 3. Licence Statement: This data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/ 4. Disclaimer: Met Éireann does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use. 5. Where applicable, an indication if the material has been modified and an indication of previous modifications ### For Example * Copyright Met Éireann * Source www.met.ie * This data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/ * Met Éireann does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use. * This material has been modified from the original.
Update frequency Daily
Language English
Landing page https://data.gov.ie/dataset/edit/numerical-weather-prediction-data
Spatial Reference Systems (SRS) ETRS89 (EPSG:4936)
Spatial Resolution(s) 2000m horizontal resolution
Vertical Extent 90 levels
OR: specify what period of time the dataset covers approximately 24 hours
High Value Dataset (HVD) Yes
High Value Dataset Category Meteorological
Applicable Legislation
  1. http://data.europa.eu/eli/reg_impl/2023/138/oj