Code and UK observation-based historical climate input data for the Rainfall and Weather GENerator (RWGEN) stochastic model
This dataset contains the stochastic Rainfall and Weather GENerator (RWGEN) model and observational historical climate inputs for UK applications. The model simulates one or more stochastic realisations of any length for rainfall (mm), temperature (°C) and potential evapotranspiration (mm) at hourly or longer timesteps. RWGEN can be used for single site or spatial simulations of historical/reference or perturbed/future climate. The model version in this dataset is a snapshot of the RWGEN Github repository, which contains new releases and developments: https://github.com/rwgen1/rwgen. The observational climate inputs consist of historical hourly rainfall and daily weather time series for selected UK Met Office (UKMO) station locations. The historical time series are derived from the UKMO Met Office Integrated Data Archive System (MIDAS) Open datasets for the period 1853 to 2020. These time series can be used to train the RWGEN model for UK locations or catchments. Note that the data coverage is not consistent throughout the 1853-2020 period, with lower data availability prior to the mid-twentieth century. A user may also choose to use alternative data for model input. Full details about this application can be found at
https://doi.org/10.5285/44c577d3-665f-40de-adce-74ecad7b304a
Simple
- Date (Publication)
- 2024-06-17
- Identifier
- doi: / 10.5285/44c577d3-665f-40de-adce-74ecad7b304a
- Other citation details
- Pritchard, D. (2024). Code and UK observation-based historical climate input data for the Rainfall and Weather GENerator (RWGEN) stochastic model. NERC EDS Environmental Information Data Centre 10.5285/44c577d3-665f-40de-adce-74ecad7b304a
- GEMET - INSPIRE themes, version 1.0
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- Environmental Monitoring Facilities
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- If you reuse this data, you should cite: Pritchard, D. (2024). Code and UK observation-based historical climate input data for the Rainfall and Weather GENerator (RWGEN) stochastic model. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/44c577d3-665f-40de-adce-74ecad7b304a
- Spatial representation type
- textTable Text, table
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
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- Environment
- Begin date
- 1853-01-01
- End date
- 2020-12-31
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- Unique resource identifier
- WGS 84
- Distribution format
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Python scripts
()
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yaml
()
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Comma-separated values (CSV)
()
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Python scripts
()
- OnLine resource
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Download the data
Download a copy of this data
- OnLine resource
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Supporting information
Supporting information available to assist in re-use of this dataset
- Hierarchy level
- application application
- Other
- application
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- The model was developed within the UK Research and Innovation (UKRI)/UKMO UK Climate Resilience Programme as part of project NE/W007037/1. The model is provided as a Python package, with installation instructions, examples and documentation. The rainfall component of the model is based on the Neyman-Scott Rectangular Pulse process. The weather and potential evapotranspiration component is based on a regression model. It has been tested against other software (RainSim V3) and against observations (although like all models it has limitations and prospective users should ensure that the model is fit-for-purpose in their applications). The historical climate time series were obtained by extracting data from the quality-controlled version (qc1) of the UKMO MIDAS-Open data collection. Further spot checks were undertaken to confirm that the extraction, processing and reformatting appear to have worked satisfactorily.
- File identifier
- 44c577d3-665f-40de-adce-74ecad7b304a XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- application application
- Hierarchy level name
- application
- Date stamp
- 2024-06-17T13:52:33
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Point of contact
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/
Overviews
Spatial extent
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Provided by
Associated resources
Not available