dc.contributor.author |
Tsakiris, G |
en |
dc.date.accessioned |
2014-03-01T01:07:07Z |
|
dc.date.available |
2014-03-01T01:07:07Z |
|
dc.date.issued |
1988 |
en |
dc.identifier.issn |
0378-3774 |
en |
dc.identifier.uri |
http://hdl.handle.net/123456789/9803 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-38249032726&partnerID=40&md5=d3f3433c4f59cb9fc500fe0f67dd3d5e |
en |
dc.subject.classification |
Agronomy |
en |
dc.subject.classification |
Water Resources |
en |
dc.title |
Daily potential evapotranspiration modelling |
en |
heal.type |
journalArticle |
en |
heal.language |
English |
en |
heal.publicationDate |
1988 |
en |
heal.abstract |
The paper is concerned with a stochastic procedure for generating evapotranspiration. The procedure consists of two steps: the sequence of four different types of day in relation to rainfall occurrence is obtained by a two-state, first-order Markov chain model; and the daily potential evapotranspiration is generated for each type of day by employing a simple autoregressive model. The Wilson-Hilferty transformation is used to incorporate asymmetry in the model. Comparing the historical and synthetic series in four meteorological stations in Greece by means of the main statistical parameters, such as the arithmetic mean, standard deviation, skewness coefficient and dimensionless maximum and minimum values, the proposed procedure proved satisfactory. © 1988. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
Agricultural Water Management |
en |
dc.identifier.isi |
ISI:A1988P661000023 |
en |
dc.identifier.volume |
13 |
en |
dc.identifier.issue |
2-4 |
en |
dc.identifier.spage |
393 |
en |
dc.identifier.epage |
402 |
en |