Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 608889

Statistical distributions for the SPI computation


Cindrić, Ksenija; Juras, Josip; Pasarić, Zoran
Statistical distributions for the SPI computation // EMS Annual Meeting Abstracts
Berlin: EMS, 2012. str. GF48: EMS2012-316 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 608889 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Statistical distributions for the SPI computation

Autori
Cindrić, Ksenija ; Juras, Josip ; Pasarić, Zoran

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
EMS Annual Meeting Abstracts / - Berlin : EMS, 2012, GF48: EMS2012-316

Skup
12th EMS Annual Meeting & 9th European Conference on Applied Climatology

Mjesto i datum
Łódź, Poljska, 10.09.2012. - 14.09.2012

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
drought; monitoring; SPI; precipitaitn; square root normal distribution; compound poisson distribution; gamma distribution

Sažetak
In the meteorological drought monitoring it is a common practice to transform the observed precipitation amounts to the corresponding Standardized Precipitation Index (SPI). For this purpose, the 2 parameter Gamma distribution is typically employed. However, in regions where the frequency of months with no recorded precipitation is high, this approach usually gives unreliable SPI values. Thus, some other statistical distributions for precipitation records which also incorporate the zero precipitation data should be more appropriate. In this study three such distributions are analyzed: Censored Gamma Distribution (CG), Compound Poisson Exponential Distribution (CPE) and the Square Root Normal Distribution (SQRTN). The goodness of fit of the theoretical and empirical distributions in their tails is investigated in more details. The monthly precipitation series from several Mediterranean stations with secular records are used for this purpose. The results show that it is not possible to recommend a single, optimal distribution. It is suggested that the ratio of skewness and the coefficient of variation could be the indicator for the choice of the most appropriate distribution for a particular region.

Izvorni jezik
Engleski

Znanstvena područja
Geologija



POVEZANOST RADA


Projekti:
004-1193086-3035 - Klimatske varijacije i promjene i odjek u područjima utjecaja (Gajić-Čapka, Marjana, MZOS ) ( CroRIS)

Ustanove:
Državni hidrometeorološki zavod

Profili:

Avatar Url Zoran Pasarić (autor)

Avatar Url Ksenija Cindrić Kalin (autor)


Citiraj ovu publikaciju:

Cindrić, Ksenija; Juras, Josip; Pasarić, Zoran
Statistical distributions for the SPI computation // EMS Annual Meeting Abstracts
Berlin: EMS, 2012. str. GF48: EMS2012-316 (poster, međunarodna recenzija, sažetak, znanstveni)
Cindrić, K., Juras, J. & Pasarić, Z. (2012) Statistical distributions for the SPI computation. U: EMS Annual Meeting Abstracts.
@article{article, author = {Cindri\'{c}, Ksenija and Juras, Josip and Pasari\'{c}, Zoran}, year = {2012}, pages = {GF48: EMS2012-316}, keywords = {drought, monitoring, SPI, precipitaitn, square root normal distribution, compound poisson distribution, gamma distribution}, title = {Statistical distributions for the SPI computation}, keyword = {drought, monitoring, SPI, precipitaitn, square root normal distribution, compound poisson distribution, gamma distribution}, publisher = {EMS}, publisherplace = {\L\'{o}d\'{z}, Poljska} }
@article{article, author = {Cindri\'{c}, Ksenija and Juras, Josip and Pasari\'{c}, Zoran}, year = {2012}, pages = {GF48: EMS2012-316}, keywords = {drought, monitoring, SPI, precipitaitn, square root normal distribution, compound poisson distribution, gamma distribution}, title = {Statistical distributions for the SPI computation}, keyword = {drought, monitoring, SPI, precipitaitn, square root normal distribution, compound poisson distribution, gamma distribution}, publisher = {EMS}, publisherplace = {\L\'{o}d\'{z}, Poljska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font