Now showing items 1-20 of 24

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

      Ramón, Jaume; Lledó, Llorenç; Bretonnière, Pierre-Antoine; Samso Cabré, Margarida; Doblas-Reyes, Francisco (IOP Publishing, 2021)
      Article
      Open Access
      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 ...
    • Advances in the subseasonal prediction of extreme events: relevant case studies across the globe 

      Domeisen, Daniela I. V.; White, Christopher J.; Afargan Gerstman, Hilla; Muñoz, Ángel G.; Janiga, Matthew A.; Lledó, Llorenç; Manrique Suñén, Andrea; Palma, Lluis; Soret, Albert (American Meteorological Society, 2022-06)
      Article
      Open Access
      Extreme weather events have devastating impacts on human health, economic activities, ecosystems, and infrastructure. It is therefore crucial to anticipate extremes and their impacts to allow for preparedness and emergency ...
    • Challenges in the selection of atmospheric circulation patterns for the wind energy sector 

      Torralba, Verónica; Gonzalez-Reviriego, Nube; Cortesi, Nicola; Manrique‐Suñén, Andrea; Lledó, Llorenç; Marcos, Raül; Soret, Albert; Doblas-Reyes, Francisco (Wiley, 2020-10)
      Article
      Open Access
      Abstract Atmospheric circulation patterns that prevail for several consecutive days over a specific region can have consequences for the wind energy sector as they may lead to a reduction of the wind power generation, ...
    • Climate forecast analysis tools framework 

      Pérez-Zanón, Núria; Ho, An-Chi; Benincasa, Francesco; Bretonnière, Pierre-Antoine; Caron, Louis-Philippe; Chou, Chihchung; Delgado-Torres, Carlos; Lledó, Llorenç; Manubens, Nicolau; Palma, Lluís (Barcelona Supercomputing Center, 2021-05)
      Conference report
      Open Access
      The climate forecast analysis tools provide functions implementing the steps required for the analysis of sub-seasonal, seasonal and decadal forecast and operational climate services, allowing researchers to manipulate ...
    • Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information 

      Pérez Zanón, Núria; Caron, Louis-Philippe; Terzago, Silvia; Van Schaeybroeck, Bert; Lledó, Llorenç; Bretonnière, Pierre-Antoine; Delgado Torres, Carlos (Copernicus Publications, 2022)
      Article
      Open Access
      Despite the wealth of existing climate forecast data, only a small part is effectively exploited for sectoral applications. A major cause of this is the lack of integrated tools that allow the translation of data into ...
    • Co-design of sectoral climate services based on seasonal prediction information in the Mediterranean 

      Sánchez García, Eroteida; Rodríguez Camino, Ernesto; Bacciu, Valentina; Chiarle, Marta; Costa Saura, José; Lledó, Llorenç; Soret, Albert (Elsevier, 2022)
      Article
      Open Access
      We present in this contribution the varied experiences gathered in the co-design of a sectoral climate services collection, developed in the framework of the MEDSCOPE project, which have in common the application of seasonal ...
    • CSDownscale: an R package for statistical downscaling 

      Ramón, Jaume; Lledó, Llorenç; Palma, Lluís; Delgado-Torres, Carlos; Marcos, Raül (Barcelona Supercomputing Center, 2022-05)
      Conference report
      Open Access
      Downscaling is any procedure to infer highresolution information from low-resolution variables. Many of these techniques have been defined and applied to climate predictions, which suffer from important biases due to the ...
    • Development of a wind energy climate service based on seasonal climate prediction 

      Torralba, Verónica; Jiménez, Isadora; Lledó, Llorenç; González-Reviriego, Nube; Soret, Albert; Doblas-Reyes, Francisco (Barcelona Supercomputing Center, 2015-05-05)
      Conference report
      Open Access
      Climate predictions tailored to the wind energy sector represent an innovation to better understand the future variability of wind energy resources. In this work an illustration of the downstream impact of the forecasts ...
    • Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP 

      Weigel, Katja; Bock, Lisa; Gier, Bettina K.; Lauer, Axel; Lauer, Axel; Caron, Louis-Philippe; Hunter, Alasdair; Lledó, Llorenç; Pérez-Zanón, Núria; Vegas-Regidor, Javier (Copernicus Publications, 2021)
      Article
      Open Access
      This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact ...
    • How Skillful are the Multiannual Forecasts of Atlantic Hurricane Activity? 

      Caron, Louis-Philippe; Hermanson, Leon; Dobbin, Alison; Imbers, Jara; Lledó, Llorenç; Vecchi, Gabriel A. (American Meteorological Society, 2018-03)
      Article
      Open Access
      The recent emergence of near-term climate prediction, wherein climate models are initialized with the contemporaneous state of the Earth system and integrated up to 10 years into the future, has prompted the development ...
    • Investigating the Effects of Pacific Sea Surface Temperatures on the Wind Drought of 2015 Over the United States 

      Lledó, Llorenç; Bellprat, Omar; Doblas-Reyes, Francisco; Soret, Albert (American Geophysical Union (AGU), 2018-05-27)
      Article
      Open Access
      During the first quarter of 2015 the United States experienced a widespread and extended episode of low surface wind speeds. This episode had a strong impact on wind power generation. Some wind farms did not generate enough ...
    • On the reliability of global seasonal forecasts: sensitivity to ensemble size, hindcast length and region definition 

      Manzanas, Rodrigo; Torralba, Verónica; Lledó, Llorenç; Bretonnière, Pierre-Antoine (Wiley, 2022-09)
      Article
      Open Access
      One of the key quality aspects in a probabilistic prediction is its reliability. However, this property is difficult to estimate in the case of seasonal forecasts due to the limited size of most of the hindcasts that are ...
    • Outcomes of the WMO Prize Challenge to Improve Subseasonal to Seasonal Predictions Using Artificial Intelligence 

      Vitart, Frederic; Robertson, Andrew W.; Spring, Aaron; Pinault, Florian; Roskar, Rok; Lledó, Llorenç; Palma, Lluis (American Meteorological Society (AMS), 2022)
      Article
      Open Access
      There is a high demand and expectation for subseasonal to seasonal (S2S) prediction, which provides forecasts beyond 2 weeks, but less than 3 months ahead. To assess the potential benefit of artificial intelligence (AI) ...
    • Outcomes of the WMO prize challenge to improve subseasonal to seasonal predictions using Artificial Intelligence 

      Vitart, Frederic; Robertson, Andrew W.; Spring, Aaron; Pinault, F; Roškar, Rok; Lledó, Llorenç; Palma, Luis (American Meteorological Society (AMS), 2022-12)
      Article
      Open Access
    • Predicting daily mean wind speed in Europe weeks ahead from MJO status 

      Lledó, Llorenç; Doblas-Reyes, Francisco (American Meteorological Society, 2020-07)
      Article
      Open Access
      The Madden–Julian oscillation (MJO), a prominent feature of the tropical atmospheric circulation at subseasonal time scales, is known to modulate atmospheric variability in the Euro-Atlantic region. However, current ...
    • Predictive Skill of Teleconnection Patterns in Twentieth Century Seasonal Hindcasts and Their Relationship to Extreme Winter Temperatures in Europe 

      Schuhen, Nina; Schaller, Nathalie; Bloomfield, Hannah C.; Brayshaw, David J.; Lledó, Llorenç; Cionni, Irene; Sillmann, Jana (Wiley, 2022)
      Article
      Open Access
      European winter weather is dominated by several low-frequency teleconnection patterns, the main ones being the North Atlantic Oscillation, East Atlantic, East Atlantic/Western Russia, and Scandinavian patterns. We analyze ...
    • Seasonal prediction of Euro-Atlantic teleconnections from multiple systems 

      Lledó, Llorenç; Cionni, Irene; Torralba, Verónica; Bretonnière, Pierre-Antoine; Samsó, Margarida (IOP Publishing, 2020)
      Article
      Open Access
      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 ...
    • Seasonal prediction of renewable energy generation in Europe based on four teleconnection indices 

      Lledó, Llorenç; Ramón, Jaume; Soret, Albert; Doblas-Reyes, Francisco (Elsevier, 2022)
      Article
      Open Access
      With growing amounts of wind and solar power in the electricity mix of many European countries, understanding and predicting variations of renewable energy generation at multiple timescales is crucial to ensure reliable ...
    • Seasonal predictions of energy-relevant climate variables through Euro-Atlantic Teleconnections 

      Cionni, Irene; Lledó, Llorenç; Torralba, Verónica; Dell’Aquilaa, Alessandro (Elsevier, 2022-04)
      Article
      Open Access
      The goal of this analysis is the better understanding of how the large-scale atmospheric patterns affect the renewable resources over Europe and to investigate to what extent the dynamical predictions of the large-scale ...
    • Sub-seasonal to seasonal climate predictions for wind energy forecasting 

      Soret, Albert; Torralba, Verónica; Cortesi, Nicola; Christel, I.; Palma, Ll.; Manrique-Suñén, A.; Lledó, Llorenç; González-Reviriego, Nube; Doblas-Reyes, Francisco (IOP Publishing, 2019-05)
      Article
      Open Access
      Both renewable energy supply and electricity demand are strongly influenced by meteorological conditions and their evolution over time in terms of climate variability and climate change. However, knowledge of power output ...