Gaya M.,Agencia Estatal de Meteorologia
Atmospheric Research | Year: 2011
A climatology of tornadoes, waterspouts, and straight winds linked to convection in Spain is presented. The database is divided into three periods according to the main source of information. The three distributions of severe weather are very sensitive to the sources of information, much more than to a possible change in climate. The early period, up to 1825, comprises cases that contain the real facts together with spurious inputs such as religion, myths, beliefs, etc, mixed in an unknown proportion. The period between 1826 and 1975, and the most recent one, up to 2009, enable us to observe geographical and temporal variations as a function of societal changes. The analysis of temporal and geographical distributions allows us to frame the risk in the face of severe storms, and the changes in their perception and management that have come about over time. Although the most recent tornadoes have been weak or strong, the Cádiz tornado of 1671 demonstrates that an extremely rare and violent event can occur in Spain. The large number of victims claimed by this tornado makes it one of the most important in the world. © 2010 Elsevier B.V. Source
Agency: Cordis | Branch: FP7 | Program: ERC-SG | Phase: ERC-SG-PE10 | Award Amount: 1.50M | Year: 2011
MUSICA aims to understand the atmospheric water cycle and its interplay with climate change applying unique long-term high quality and global remote sensing observations of tropospheric stable water vapour isotopologues. It is well established that water in its various forms plays a dominant role in nearly all aspects of the Earth s climate system. Understanding the full cycle of evaporation, cloud formation, and precipitation is of highest scientific priority for predicting climate change. The ratio of the isotopologues (e.g. HD16O/H216O) is affected by evaporation, condensation, and cloud processes, and offers a unique opportunity for investigating how water moves through the troposphere. Incorporating isotopologues in atmospheric general circulation models (AGCM) and comparing the isotopologue simulations to observations has the potential to test the models ability of reproducing the global atmospheric water cycle and its interplay with climate change. So far this research field has not been explored due to the lack of consistent, long-term, high-quality, and area-wide observational data. MUSICA will for the first time combine long-term ground- and space-based remote sensing measurements in a consistent manner, and will generate novel tropospheric HD16O/H216O data, taking benefit from both the high and well documented quality of the ground-based observations and the wide geographical coverage of the space-based observations. This unique observational data set will allow a new dimension of water cycle research. MUSICA will collaborate with the Stable Water Isotope Intercomparison Group (SWING) in order to improve current state-of-the-art water isotope AGCMs. MUSICA will investigate and improve the understanding of tropospheric water vapour sources and transport pathways, and empirically assess how well climate feedbacks are captured by current climate models and thereby it will constrain a major uncertainty of climate projections.
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: SPA.2011.1.5-03 | Award Amount: 2.97M | Year: 2012
The main goal of MyWave is to lay the foundation for a future Marine Core Service that includes ocean waves. The proposal has identified four target areas where concerted research is needed to establish a high quality GMES Marine Core Service for ocean waves: 1. increase the use of earth observations by improving data processing algorithms and data assimilation systems, 2. improve the physics in current wave models and provide a framework for coupled model systems (atmosphere/waves/ocean), 3. establish a new standard for probabilistic wave forecasts based on ensemble methods, 4. derive standard protocols for validation products.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ENV.2012.6.1-1 | Award Amount: 13.24M | Year: 2012
Recent advances in our understanding and forecasting of climate and climate change have brought us to the point where skilful and useful predictions are being made. These forecasts hold the potential for being of great value for a wide range of decision-makers who are affected by the vagaries of the climate and who would benefit from understanding and better managing climate-related risks. However, such climate information is currently under-used, mis-used, or not used at all. Therefore there exists the opportunity to develop new technologies to properly exploit emerging capability from the climate community, and more importantly, to engage with the users of such technologies to develop useful and useable tools. The EUPORIAS project will develop and deliver reliable predictions of the impacts of future climatic conditions on a number of key sectors (to include water, energy, health, transport, agriculture and tourism), on timescales from seasons to years ahead. The project will do this through a strong engagement with the forecast providers and the users/decision-makers, who are both represented within the project. EUPORIAS will develop climate services and tools targeted to the needs of the users, and will share knowledge to promote the technologies created within the project. EUPORIAS will also improve the users understanding of their vulnerability to varying climatic conditions as well as better prepare them to utilise climate forecasts, thereby reducing risks and costs associated with responding to varying climatic conditions. As a result businesses, governments, NGOs, and society in general will be able to better manage risks and opportunities associated with varying climatic conditions, thus becoming more resilient to the variability of the climate. The project will provide the basis for developing a strong climate service market within Europe, offering the opportunity for businesses to capitalise on improved management of weather and climate risks.
Agency: Cordis | Branch: H2020 | Program: IA | Phase: LCE-03-2014 | Award Amount: 17.79M | Year: 2015
Predictability and flexibility are key enablers to increase CSP penetration in the energy mix by a) increasing dispatchability b) making CSP less/not reliant on subsidies c) supporting stable grid operation d) enabling operators to access new revenue streams (electricity trading, ancillary services). Today CSP plants with molten salt storage only partly achieve these objectives. Key enabling technologies to be demonstrated and introduced in the market are 1) design and operation of molten salt once-through steam generator This will allow fully flexible plant operation; 2) design and implementation of integrated weather forecasting and dispatch optimization This will allow optimal management of the energy storage to maximize revenues while respecting constraints/commitments (e.g. to the grid). Towards 1), an innovative design approach is proposed, integrating process and equipment design with dynamic simulation of the system. Proven technologies in separate fields (molten salt ; once-through steam generator ; optimum control) will be for the first time integrated and demonstrated. Towards 2), different approaches to DNI forecasting (direct; mesoscale models) will be integrated to extend geographical coverage and improve reliability. Dispatch optimization under conditions of uncertainty (weather forecast) and perturbations (e.g. grid support requests) will be developed. Furthermore, automatic plant performance characterization by machine learning will be implemented to ensure a real optimum is achieved. For succesfull market introduction, a down-scale pilot will be realized. Here, integrated operation of once-through steam generator, weather forecast and dispatch optimization will be demonstrated. CSP will undergo large growth in developing markets, where grid constraints and market liberalization will play a role. Developint these key-enabling technologies will put european industries in the position to compete at the forefront in the market worldwide.