Research Institute for Industrial Crops
Tools for Agrometeorology and Agricultural Modelling

Agronomy Group



ClimGen

Generating weather data in ClimGen consists of the following steps:
1. Describing or geolocating the location.
2. Preparing the location parameters either with statistical analysis of real weather data, or providing know monthly statistics.
3. Generating the data.
4. Exporting the data to available file formats used by other applications.
The ClimGen Wizard provides a step-by-step procedure presenting input fields for entering parameters. The available data options and the actual data provided will determine what additional data will need to be provided or what additional data might be estimated to produce the optimal set of parameters for data generation.

The official webpage of ClimGen is at the Department of Biological Systems Engineering - Washington State University.

Download the software
Download the manual
(8.1 Mb, 19 AGO 2004)

 

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References

Acutis M., Stöckle C.O., Donatelli M., 1999. Performances of two weather generators as a function of the number of available years of measured climatic data. Proc. 1th Int. Symp. Modelling Cropping Systems, 21-23 June, Lleida, Spain, 129-130.

Bellocchi G., Maestrini C., Fila G., Fontana F., 2002. Assessment of the effects of climate change and elevated CO2: a case study in Northern Italy. VII European Society for Agronomy Congress, 15-18 July, Cordoba, Spain, 763-764. (poster)

Bellocchi G., Rivington M., Matthews K., Buchan K., Donatelli M., 2004. Scenario characterisation within a multi-factorial study of climate change impacts on whole-farm systems. VIII European Society for Agronomy Congress, 11-15 July, Copenhagen, Denmark, 219-220. (presentation)

Castellvì F., Stöckle C.O., 2002. Comparing the performance of WGEN and ClimGen in the generation of temperature and solar radiation. Trans. of ASAE, 44, 1683-1687. (abstract)

Castellvì F., Stöckle C.O., Mormeneo I., Villar J. M., 2002. Testing the performance of different processes to generate temperature and solar radiation: a case study at Lleida (Northeast Spain). Trans. of ASAE, 45, 571-580. (abstract)

Clemence B.S.E., 1997. A brief assessment of a weather data generator (CLIMGEN) at Southern African sites. Water SA, 23, 271-274.

Donatelli M., Carlini L., Bellocchi G., Fila G., 2004. Clima: software component for weatehr generation and estimation. VIII European Society for Agronomy Congress, 11-15 July, Copenhagen, Denmark, 239-240. (poster)

Harmel R.D., Richardson C.W., Hanson C.L., Johnson G.L., 2002. Evaluating the adequacy of simulating maximum and minimum daily air temperature with the normal distribution. J. Appl. Meteorol., 41, 744-753. (abstract)

Harmel R.D., Richardson C.W., Hanson C.L., Johnson G.L., 2002. Evaluation of simulating daily air temperature with the normal distribution: implication for GEM. 13th Conference on Applied Climatology, 13-16 May, Portland OR, USA. (abstract)

Jesse R., 2002. Motion enhanced information mural for climate data visualisation. International Conference on Computer Vision and Graphics, 25-29 September, Zakopane, Germany, 1, 374-379. (paper)

Jesse R., 2003. Script-based presentation of simulation results. Simulation und Visualisierung (in press). (draft)

Jesse R., Isenberg T., 2003. Use of hybrid rendering styles for presentation. Journal of WSCG, 11. (paper)

McKague K., Rudra R., Ogilvie J., 2003. ClimGen - A convenient weather generation tool for Canadian climate stations. Proc. CSAE/SCGR 2003 meeting, 6-9 July, Montréal, Québec, paper no. 03-118. (paper)

Meteotest. 2003. Meteonorm version 5.0. The global meteorological database for engineers, planners and education. Software and data on CD-ROM. James and James, London, United Kingdom. (paper)

Ndlovu L.S., 1994. Weather data generation and its use in estimating evapotranspiration. Ph.D dissertation. College of Engineering, Washington State University, Pullman WA.

Stöckle C.O., Bellocchi G., Nelson R.L., 1999. Evaluation of the weather generator ClimGen for several world locations. 7th International Congress for Computer Technology in Agriculture, 15-18 November 1998, Florence, Italy, 34-41. (paper)

Stöckle C.O., Nelson R.L., Donatelli M., Castellvì F., 2001. ClimGen: a flexible weather generation program. 2nd Int. Symp. Modelling Cropping Systems, 16-18 July, Florence, Italy, 229-230. (poster)

Tubiello F., Donatelli M., Rozenweig C., Stöckle C.O., 2000. Effects of climate change and elevated CO2 on cropping systems: model predictions at two Italian locations. Eur. J. Agron., 13, 179-189. (paper)

Zinoni F., Marletto V., Fontana G., Criscuolo L., Morgillo A., Marchesi S., 2004. DEMETER seasonal hindcasts and potential wheat yield forecasting. VIII European Society for Agronomy Congress, 11-15 July, Copehagen, Denmark, 353-354.


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