Evaluation of ALADIN NWP model forecasts by IR10.8 µm and WV06.2 µm brightness temperatures measured by the geostationary satellite Meteosat Second Generation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91726" target="_blank" >RIV/60460709:41330/22:91726 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0169809521004762?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0169809521004762?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.atmosres.2021.105920" target="_blank" >10.1016/j.atmosres.2021.105920</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of ALADIN NWP model forecasts by IR10.8 µm and WV06.2 µm brightness temperatures measured by the geostationary satellite Meteosat Second Generation

Popis výsledku v původním jazyce

An evaluation of forecasts by ALADIN numerical weather prediction model is performed by comparing synthetic and measured IR10,8 mu m (Infrared channel with a wavelength of 10,8 mu m) and WV06,2 mu m (Water vapour channel with a wavelength of 6,2 mu m) brightness temperatures (BTs) by the geostationary satellite Meteosat Second Generation. To calculate synthetic satellite images, we used a radiative transfer model RTTOV v11,3, as implemented in the ALADIN model. The evaluation of the forecasts is performed for summer month June 2020 and winter month February 2021 and for lead times from 1 to 72 h. The model horizontal resolution is 2,3 km and the verification domain covers a large part of Europe. As for verification parameters, we calculated bias, root-mean-square error, correlation coefficient (PC), Fraction Skill Score and a technique that take into account the relative position of the verified objects. We diagnosed relationships, measured by PC, between the forecasted and measured BTs on one side a

Název v anglickém jazyce

Evaluation of ALADIN NWP model forecasts by IR10.8 µm and WV06.2 µm brightness temperatures measured by the geostationary satellite Meteosat Second Generation

Popis výsledku anglicky

An evaluation of forecasts by ALADIN numerical weather prediction model is performed by comparing synthetic and measured IR10,8 mu m (Infrared channel with a wavelength of 10,8 mu m) and WV06,2 mu m (Water vapour channel with a wavelength of 6,2 mu m) brightness temperatures (BTs) by the geostationary satellite Meteosat Second Generation. To calculate synthetic satellite images, we used a radiative transfer model RTTOV v11,3, as implemented in the ALADIN model. The evaluation of the forecasts is performed for summer month June 2020 and winter month February 2021 and for lead times from 1 to 72 h. The model horizontal resolution is 2,3 km and the verification domain covers a large part of Europe. As for verification parameters, we calculated bias, root-mean-square error, correlation coefficient (PC), Fraction Skill Score and a technique that take into account the relative position of the verified objects. We diagnosed relationships, measured by PC, between the forecasted and measured BTs on one side a

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ATMOSPHERIC RESEARCH

ISSN

0169-8095

e-ISSN

1873-2895

Svazek periodika

2022

Číslo periodika v rámci svazku

265

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

20

Strana od-do

1-20

Kód UT WoS článku

000790517900003

EID výsledku v databázi Scopus

2-s2.0-85119490216