Involvement of Stochastic Weather Generators within the DAMOCLES project

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F19%3A00504221" target="_blank" >RIV/68378289:_____/19:00504221 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Involvement of Stochastic Weather Generators within the DAMOCLES project

Popis výsledku v původním jazyce

Weather generators (WGs) are often used to produce input weather data for climate change impact studies. nOur generators include mostly single-site WGs: they are either parametric or non-parametric and may run at various time steps (hourly, daily, monthly). Since 2016, emphasis has been put on developing the spatial (gridded or multi-site) weather generator SPAGETTA. Its development now proceeds within the frame of the GRIMASA project (2018-2020), which aims at further development of SPAGETTA towards the finer spatial & temporal resolution, while completing this task, it is being validated in terms of various climatic indices and its performance is compared with gridded weather data coming from other sources - including Regional Climate Models. As the most important new feature of SPAGETTA (which was based on spatializing the single-site M&Rfi generator) is its ability to produce spatially coherent weather data for multiple sites/grid points, the first validation tests focused on its ability to represent spatial events. The validation was carried out for 8 European regions at 100 km grid resolution (double of E-OBS 50km grid) and we examined the WG’s ability to reproduce “spatial” hot/cold days and spells. Later, we added a couple of temperature-precipitation compound event indices (e.g. frequency and length of hot-dry spells) into the set of validation indices.nWe believe that involvement of SPAGETTA in the DAMOCLES project could help our generator to better reproduce various compound events and thereby improve the generator’s quality. To provide a basis for this involvement, this presentation will give a brief overview of our weather generators developed since 1994, experiments, in which they were employed, and selected results obtained while validating the generators. We will focus on the most recent results obtained while validating SPAGETTA in terms of compound event indices.

Název v anglickém jazyce

Involvement of Stochastic Weather Generators within the DAMOCLES project

Popis výsledku anglicky

Weather generators (WGs) are often used to produce input weather data for climate change impact studies. nOur generators include mostly single-site WGs: they are either parametric or non-parametric and may run at various time steps (hourly, daily, monthly). Since 2016, emphasis has been put on developing the spatial (gridded or multi-site) weather generator SPAGETTA. Its development now proceeds within the frame of the GRIMASA project (2018-2020), which aims at further development of SPAGETTA towards the finer spatial & temporal resolution, while completing this task, it is being validated in terms of various climatic indices and its performance is compared with gridded weather data coming from other sources - including Regional Climate Models. As the most important new feature of SPAGETTA (which was based on spatializing the single-site M&Rfi generator) is its ability to produce spatially coherent weather data for multiple sites/grid points, the first validation tests focused on its ability to represent spatial events. The validation was carried out for 8 European regions at 100 km grid resolution (double of E-OBS 50km grid) and we examined the WG’s ability to reproduce “spatial” hot/cold days and spells. Later, we added a couple of temperature-precipitation compound event indices (e.g. frequency and length of hot-dry spells) into the set of validation indices.nWe believe that involvement of SPAGETTA in the DAMOCLES project could help our generator to better reproduce various compound events and thereby improve the generator’s quality. To provide a basis for this involvement, this presentation will give a brief overview of our weather generators developed since 1994, experiments, in which they were employed, and selected results obtained while validating the generators. We will focus on the most recent results obtained while validating SPAGETTA in terms of compound event indices.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10510 - Climatic research

Projekt

<a href="/cs/project/GA18-15958S" target="_blank" >GA18-15958S: Vývoj prostorového meteorologického generátoru s vysokým rozlišením pro použití v současném i změněném klimatu</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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