An extensible model library for generating wind speed data.
 |
2009 - Computers and Electronics in Agriculture, 69, 165-170 |
|
Donatelli, M., Bellocchi, G., Habyarimana, E., Confalonieri, R., Micale, F. |
Abstract:
Wind is a library providing a collection of stochastic approaches to generate wind speed data on daily and hourly time steps. Daily generation refers to as mean, maximum and minimum daily wind speed. The library is made available as software component, inclusive of hypertext help file, allowing the development of language-independent clients under Windows operating systems. The component includes advanced features for re-use in custom developed applications, and it allows independent extensions by third parties without requiring its re-compilation. Illustrative examples on how to extend and re-use the library are provided as C# code projects.
 |
Keywords: Model re-use, software component, weather generation, wind |
|
DOI: 10.1016/j.compag.2009.07.022 |
- Comparison of three calibration methods for modeling rice phenology
- A simple pipeline for the assessment of legacy soil datasets: An example and test with soil organic carbon from a highly variable area.
- A high-resolution, integrated system for rice yield forecasting at district level.
- Downscaling rice yield simulation at sub-field scale using remotely sensed LAI data.
- Analysis and modelling of processes involved with salt tolerance and rice.
- Estimating crop nutritional status using smart apps to support nitrogen fertilization. A case study on paddy rice.
- Development of generic crop models for simulation of multi-species plant communities in mown grasslands.
- Quantifying uncertainty due to stochastic weather generators in climate change impact studies
- Predicting rice blast disease: machine learning versus process-based models
- Boundaries and perspectives from a multi-model study on rice grain quality in Northern Italy.