posted on 2024-02-21, 16:41authored byAndrew FullhartAndrew Fullhart, David C. Goodrich, Guillermo E. Ponce-Campos, Menberu B. Meles, Ryan P. McGehee, Gerardo Armendariz, Paulo T. Oliveira, Cristiano N. Almeida, José C. de Araújo, Werner Nel
<p dir="ltr">CLImate GENerator (CLIGEN) is a stochastic weather generator that produces daily and sub-daily timeseries of weather variables. This gridded CLIGEN parameterization complements existing coverage for South America and Africa by adding new coverage for Central America, the Caribbean, the Middle East, South Asia, Southeast Asia, Australia, New Zealand, and various islands. This parameterization used the methodology and trained machine learning models discussed in a dataset article by Fullhart et al. (2022), <a href="https://doi.org/10.1080/20964471.2022.2136610">https://doi.org/10.1080/20964471.2022.2136610</a>. The primary dataset for South America and Africa may also be found in Ag Data Commons at <a href="https://doi.org/10.15482/USDA.ADC/1524754">https://doi.org/10.15482/USDA.ADC/1524754</a>.</p><p dir="ltr">The data are formatted as CLIGEN .par files, which are the only required input for CLIGEN. The files are contained in the "Grid Files" download with n=37105 files. The files are labeled according to grid point lat/lon coordinates (WGS84) in decimal degrees. The labeling convention uses 'N' and 'E' (north, east) to represent coordinates with a positive sign and 'S' and 'W' (south, west) to represent coordinates with a negative sign.</p><p dir="ltr">Resources in this dataset:</p><ul><li>Resource Title: Grid Files.File Name: Grid Files.zipResource Description: CLIGEN input files (.par)<br></li><li>Resource Title: Summary Table.File Name: SummaryTable.docxResource Description: Summary table that lists CLIGEN parameters and basic dataset characteristics of the gridded parameterization.<br></li><li>Resource Title: Map Layer.File Name: Map Layer.kmzResource Description: Map layer showing point locations of the CLIGEN grid.</li></ul><p><br></p>
Applications for this dataset should consider the spatial variability of climate within the resolution of the grid. Strong climate gradients may be poorly represented in some cases, such as in mountainous areas, coastal areas, and other situations. Sub-daily precipitation timeseries produced by CLIGEN generally have higher uncertainty than daily timeseries.
0.25 deg. grid covering Central America, the Caribbean, the Middle East, South Asia, Southeast Asia, Australia, New Zealand, and various islands.
ISO Topic Category
climatologyMeteorologyAtmosphere
Ag Data Commons Group
Long-Term Agroecosystem Research
National Agricultural Library Thesaurus terms
climate models; time series analysis; weather; South America; Africa; Central America; Caribbean; Middle East; South Asia; South East Asia; Australia; New Zealand; artificial intelligence; soil erosion models; hydrologic models; climate change
Fullhart, Andrew T.; Goodrich, David C.; Ponce-Campos, Guillermo E.; Meles, Menberu B.; McGehee, Ryan P.; Armendariz, Gerardo; Oliveira, Paulo T.; Almeida, Cristiano N.; de Araújo, José C.; Nel, Werner (2022). Gridded 20-Year Parameterization of a Stochastic Weather Generator (CLIGEN) to Fill Gaps in Coverage South of the 40th Parallel. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1528372