Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Margarida Samsó

Biographic Data

ID7992368
NAMEMargarida Samsó
GIVEN NAMESMargarida
FAMILY NAMESamsó
SIGNATURESAMSÓ M
AFFILIATIONSBarcelona Supercomputing Center
ORCID0000-0003-2868-2755
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes

    Open Access•Paolo De Luca, Carlos Delgado‐Torres et al.•ARTICLE•Environmental Research Letters•2023

    Hot, cold and dry meteorological extremes are often linked with severe impacts on the public health, agricultural, energy and environmental sectors. Skillful predictions of such extremes could therefore enable stakeholders to better plan and adapt to future impacts of these events. The intensity, duration and frequency of such extremes are affected by anthropogenic climate change and modulated by different modes of climate variability. Here, we u…

  • Multi-annual predictions of the frequency and intensity of daily temperature and precipitation extremes

    Open Access•Carlos Delgado‐Torres, Markus G Donat et al.•ARTICLE•Environmental Research Letters•2023

    The occurrence of extreme climate events in the coming years is modulated by both global warming and internal climate variability. Anticipating changes in frequency and intensity of such events in advance may help minimize the impact on climate-vulnerable sectors and society. Decadal climate predictions have been developed as a source of climate information relevant for decision-making at multi-annual timescales. We evaluate the multi-model forec…

  • A perfect prognosis downscaling methodology for seasonal prediction of local-scale wind speeds

    Open Access•Jaume Ramón, Llorenç Lledó et al.•ARTICLE•Environmental Research Letters•2021

    This work provides a new methodology based on a statistical downscaling with a perfect prognosis approach to produce seasonal predictions of near-surface wind speeds at the local scale. Hybrid predictions combine a dynamical prediction of the four main Euro-Atlantic Teleconnections (EATC) and a multilinear statistical regression, which is fitted with observations and includes the EATC as predictors. Once generated, the skill of the hybrid predict…

  • Seasonal prediction of Euro-Atlantic teleconnections from multiple systems

    Open Access•Llorenç Lledó, Irene Cionni et al.•ARTICLE•Environmental Research Letters•2020

    Seasonal mean atmospheric circulation in Europe can vary substantially from year to year. This diversity of conditions impacts many socioeconomic sectors. Teleconnection indices can be used to characterize this seasonal variability, while seasonal forecasts of those indices offer the opportunity to take adaptation actions a few months in advance. For instance, the North Atlantic Oscillation has proven useful as a proxy for atmospheric effects in …

No prominent works on this page.

  • Seasonal prediction of Euro-Atlantic teleconnections from multiple systems

    Open Access•Llorenç Lledó, Irene Cionni et al.•ARTICLE•Environmental Research Letters•2020

    Seasonal mean atmospheric circulation in Europe can vary substantially from year to year. This diversity of conditions impacts many socioeconomic sectors. Teleconnection indices can be used to characterize this seasonal variability, while seasonal forecasts of those indices offer the opportunity to take adaptation actions a few months in advance. For instance, the North Atlantic Oscillation has proven useful as a proxy for atmospheric effects in …

  • A perfect prognosis downscaling methodology for seasonal prediction of local-scale wind speeds

    Open Access•Jaume Ramón, Llorenç Lledó et al.•ARTICLE•Environmental Research Letters•2021

    This work provides a new methodology based on a statistical downscaling with a perfect prognosis approach to produce seasonal predictions of near-surface wind speeds at the local scale. Hybrid predictions combine a dynamical prediction of the four main Euro-Atlantic Teleconnections (EATC) and a multilinear statistical regression, which is fitted with observations and includes the EATC as predictors. Once generated, the skill of the hybrid predict…

  • Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes

    Open Access•Paolo De Luca, Carlos Delgado‐Torres et al.•ARTICLE•Environmental Research Letters•2023

    Hot, cold and dry meteorological extremes are often linked with severe impacts on the public health, agricultural, energy and environmental sectors. Skillful predictions of such extremes could therefore enable stakeholders to better plan and adapt to future impacts of these events. The intensity, duration and frequency of such extremes are affected by anthropogenic climate change and modulated by different modes of climate variability. Here, we u…

  • Multi-annual predictions of the frequency and intensity of daily temperature and precipitation extremes

    Open Access•Carlos Delgado‐Torres, Markus G Donat et al.•ARTICLE•Environmental Research Letters•2023

    The occurrence of extreme climate events in the coming years is modulated by both global warming and internal climate variability. Anticipating changes in frequency and intensity of such events in advance may help minimize the impact on climate-vulnerable sectors and society. Decadal climate predictions have been developed as a source of climate information relevant for decision-making at multi-annual timescales. We evaluate the multi-model forec…

Climate change (4 works) · Climate variability and models (4 works) · Climatology (4 works) · Environmental Science (4 works) · Geography (4 works) · Geology (4 works) · Meteorological Phenomena and Simulations (4 works) · Climate model (3 works) · Meteorology (3 works) · Precipitation (3 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae