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Pregled bibliografske jedinice broj: 1033491

Bias correction of regional climate models over Croatian region – influence on statistical measures of temperature and precipitation


Sokol Jurković, Renata; Güttler, Ivan
Bias correction of regional climate models over Croatian region – influence on statistical measures of temperature and precipitation // EMS Annual Meeting 2019
Kopenhagen, Danska, 2019. str. 1-1 (predavanje, podatak o recenziji nije dostupan, sažetak, znanstveni)


CROSBI ID: 1033491 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Bias correction of regional climate models over Croatian region – influence on statistical measures of temperature and precipitation

Autori
Sokol Jurković, Renata ; Güttler, Ivan

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

Izvornik
EMS Annual Meeting 2019 / - , 2019, 1-1

Skup
EMS Annual Meeting 2019

Mjesto i datum
Kopenhagen, Danska, 09-13.09.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Podatak o recenziji nije dostupan

Ključne riječi
korekcija pristranosti, temperatura, oborina, klimatski modeli
(bias correction, temperature, precipitation, climate models)

Sažetak
The variables modeled in global and regional climate models deviate from observations to a certain extent, i.e., modeled variables contain systematic errors called bias. The use of climate projections in different impact models requires input with very low or without any bias. Therefore, before using outputs of the climate models in the applied research their results need to be statistically corrected. In this paper, one univariate and two bivariate methods of statistical bias correction were compared. The precipitation and temperature were modeled by regional climate models RegCM4, RCA4 and CLM forced by four CMIP5 global models at boundaries. Univariate methods are used to correct each variable separately, and bivariate corrects variables together in order to preserve the physical relationship between them. In the quantile mapping (univariate method) and in the first bivariate method, gamma (precipitation) and Gaussian (temperature) probability distribution are used while the other bivariate method is using empirical probability distributions for precipitation and temperature. Joint distribution in bivariate method was modeled using Gauss copula. The model correction was carried out according to the E-OBS19e data at a resolution of 0.1° × 0.1° on the monthly precipitation data and the mean air temperature for each season for the wider Croatian region. For calibration of the method the period 1971-1990 was used while the validation period was 1991-2004. Ensemble of regional climate models was used in analysis. The influence of the methods on trend and basic statistical measures of location, dispersion and symmetry and also their change in relation to the reference observations was studied.

Izvorni jezik
Engleski

Znanstvena područja
Geofizika



POVEZANOST RADA


Ustanove:
Državni hidrometeorološki zavod

Profili:

Avatar Url Ivan Güttler (autor)


Citiraj ovu publikaciju:

Sokol Jurković, Renata; Güttler, Ivan
Bias correction of regional climate models over Croatian region – influence on statistical measures of temperature and precipitation // EMS Annual Meeting 2019
Kopenhagen, Danska, 2019. str. 1-1 (predavanje, podatak o recenziji nije dostupan, sažetak, znanstveni)
Sokol Jurković, R. & Güttler, I. (2019) Bias correction of regional climate models over Croatian region – influence on statistical measures of temperature and precipitation. U: EMS Annual Meeting 2019.
@article{article, author = {Sokol Jurkovi\'{c}, Renata and G\"{u}ttler, Ivan}, year = {2019}, pages = {1-1}, keywords = {korekcija pristranosti, temperatura, oborina, klimatski modeli}, title = {Bias correction of regional climate models over Croatian region – influence on statistical measures of temperature and precipitation}, keyword = {korekcija pristranosti, temperatura, oborina, klimatski modeli}, publisherplace = {Kopenhagen, Danska} }
@article{article, author = {Sokol Jurkovi\'{c}, Renata and G\"{u}ttler, Ivan}, year = {2019}, pages = {1-1}, keywords = {bias correction, temperature, precipitation, climate models}, title = {Bias correction of regional climate models over Croatian region – influence on statistical measures of temperature and precipitation}, keyword = {bias correction, temperature, precipitation, climate models}, publisherplace = {Kopenhagen, Danska} }




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