Preprints
https://doi.org/10.5194/gmd-2018-97
https://doi.org/10.5194/gmd-2018-97

Submitted as: model description paper 06 Jun 2018

Submitted as: model description paper | 06 Jun 2018

Review status: this preprint was under review for the journal GMD. A final paper is not foreseen.

A simple weather generator for applications with limited data availability: TEmpotRain 1.0 for temperatures, extraterrestrial radiation, and potential evapotranspiration

Gerrit Huibert de Rooij Gerrit Huibert de Rooij
  • Helmholtz Centre for Environmental Research – UFZ, Soil System Science Dept., Theodor−Lieser−Strasse 4, 06120 Halle (Saale), Germany

Abstract. A weather generator is introduced that has a Bartlett−Lewis rainfall generator in which storms with exponentially distributed time intervals between their starting times consist of cells of which the intervals between their starting times are exponentially distributed, and their durations and rainfall rates are both gamma–distributed. Each day is either overcast or clear, with the probability of a cloudy day depending on the daily rainfall. A temperature generator uses a sinusoidal annual signal of which the mean and the amplitude are both normally distributed. For overcast days, the amplitude is reduced. Superimposed on this signal is a first–order autoregressive model with independently identically normally distributed shocks for the daily mean temperature, which is assumed to be the average of the daily minimum and maximum temperature. The difference between the daily mean and extremes follows a lognormal distribution, the standard deviation of which is reduced for overcast days. The daily extraterrestrial radiation, mean and extreme temperatures, and, for one of the two models used, the 30–day rainfall sum, determine the daily potential evapotranspiration. To permit the generation of very long time series, leap years are taken into account. One hundred years of weather data were generated for two contrasting climates. The results show that the choice of the evapotranspiration model is consequential for temperate climates. Additional calculations demonstrate the effect of the daily temperature fluctuations on the potential evapotranspiration. Standard computational resources (laptop) suffice to run the weather generator. The Fortran90 source codes, input file formats, and user manual are provided.

This preprint has been withdrawn.

Gerrit Huibert de Rooij

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Gerrit Huibert de Rooij

Gerrit Huibert de Rooij

Viewed

Total article views: 751 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
426 286 39 751 55 51 52
  • HTML: 426
  • PDF: 286
  • XML: 39
  • Total: 751
  • Supplement: 55
  • BibTeX: 51
  • EndNote: 52
Views and downloads (calculated since 06 Jun 2018)
Cumulative views and downloads (calculated since 06 Jun 2018)

Viewed (geographical distribution)

Total article views: 730 (including HTML, PDF, and XML) Thereof 726 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Jan 2021
Download

This preprint has been withdrawn.

Short summary
Areas that have few or no weather stations or are subject to climate change still need weather data in order to model the demand for water, the risk of floods and droughts, etc. TEmpotRain generates rainfall, daily temperature extremes, and daily potential evaporation (from the soil) / transpiration (by plants). The physical meaning of the model parameters is clear. This allows realistic values for them to be estimated, even for hypothetical (future) climates for which data are not available.