76 research outputs found

    A dataset of future daily weather data for crop modelling over Europe derived from climate change scenarios

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    Coupled atmosphere-ocean general circulation models (AOGCMs, or just GCMs for short) simulate different realizations of possible future climates at global scale under contrasting scenarios of greenhouse gases emissions. While these datasets provide several meteorological variables as output, but two of the most important ones are air temperature at the Earth's surface and daily precipitation. GCMs outputs are spatially downscaled using different methodologies, but it is accepted that such data require further processing to be used in impact models, and particularly for crop simulation models. Daily values of solar radiation, wind, air humidity, and, at times, rainfall may have values which are not realistic, and/or the daily record of data may contain values of meteorological variables which are totally uncorrelated. Crop models are deterministic, but they are typicallyrun in a stochastic fashion by using a sample of possible weather time series that can be generated using stochastic weather generators. With their random variability, these multiple years of weather data can represent the time horizon of interest. GCMs estimate climate dynamics, hence providing unique time series for a given emission scenario; the multiplicity of years to evaluate a given time horizon is consequently not available from such outputs. Furthermore, if the time horizons of interest are very close (e.g. 2020 and 2030), averaging only the non-overlapping years of the GCM weather variables time series may not adequately represent the time horizon; this may lead to apparent inversions of trends, creating artefacts also in the impact model simulations. This paper presents a database of consolidated and coherent future daily weather data covering Europe with a 25 km grid, which is adequate for crop modelling in the near-future. Climate data are derived from the ENSEMBLES downscaling of the HadCM3, ECHAM5, and ETHZ realizations of the IPCC A1B emission scenario, using for HadCM3 two different regional models for downscaling. Solar radiation, wind and relative air humidity weather variables where either estimated or collected from historical series, and derived variables reference evapotranspiration and vapour pressure deficit were estimated from other variables, ensuring consistency within daily records. Synthetic time series data were also generated using the weather generator ClimGen. All data are made available upon request to the European Commission Joint Research Centre's MARS unit.JRC.H.7-Climate Risk Managemen

    Cochlear Implant Surgery: How to Fix Receiver/Stimulator Avoiding Extrusion:

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    Cochlear implant (CI) surgery is generally safe and associated with a limited number of complications, among which the extrusion of the receiver/stimulator (R/S) or the electrode misplacement and migration might require a CI re-implantation. The aim of this pilot study is to describe a new technique to firmly fix the R/S using the Mitek suture anchors system (Depuy Mitek Surgical Products, Inc. Raynham, Massachusetts). We tested two different models and in our experience, the web of suture created with this device can improve the stability of the bond of the R/S to the underlying curved bone surface. So, this system resulted in a less laborious manner keeping low the complication rate

    Performance of Circulating Placental Growth Factor as A Screening Marker for Diagnosis of Ovarian Endometriosis: A Pilot Study

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    The aim of this study is to compare the circulating placental growth factor (PlGF) concentration in women with and without endometrioma to verify the performance of this marker to diagnose the disease

    Assessing agriculture vulnerabilities for the design of effective measures for adaptation to climate change (AVEMAC project)

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    This final report of the AVEMAC study presents an assessment of the potential vulnerability of European agriculture to changing climatic conditions in the coming decades. The analysis is based on weather data generated from two contrasting realizations of the A1B emission scenario of the Intergovernmental Panel on Climate Change (IPCC) for the time horizons 2020 and 2030. These two realizations (obtained from two different general circulation models, downscaled using regional climate models and biascorrected) represent the warmest and coldest realizations of the A1B scenario over Europe as estimated by the ENSEMBLES project. The future weather data fed two types of analyses. The first analysis consisted in computing static agro-meteorological indicators as proxies of potential vulnerabilities of agricultural systems, expressed as changes in the classification of agricultural areas in Europe under climate constraints. The second analysis relied on biophysical modelling to characterize crop specific plant responses derived from crop growth simulations at different production levels (potential production, water-limited production, and production limited by diseases). Assessing the importance of vulnerability to climate change requires not only the localisation of relative yield changes, but also the analysis of the impact of the change on the acreage affected. Consequently, the simulation results of the impact assessment on crops were further processed to estimate the potential changes in production at sub-national (NUTS2) level. This was achieved by relating the simulation results to farm typologies in order to identify which types of systems are likely to be affected by reductions in production. The analyses of this study must be considered as a first step only, since they have neither included adaptation strategies that the farmer can take in response to changes in climate, nor a bio-economic evaluation of estimated vulnerabilities. Therefore, the main aspects and the requirements for a possible future integrated analysis at EU27 level to address climate change and agriculture with the target of providing policy support are also presented in this report. Eventually the results of this study shall help the formulation of appropriate policy options and the development of adequate policy instruments to support the adaptation to climate change of the EU agricultural sector.JRC.H.4-Monitoring Agricultural Resource

    JRC MARS Bulletin - Crop monitoring in Europe, December 2018

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    Sowing and development of winter cereals had been delayed due to dry conditions in large parts of Europe. Relatively mild conditions have slowed hardening of winter wheat in western Europe. In central, northern and eastern Europe, forecasts of colder conditions are expected to improve frost tolerance.JRC.D.5-Food Securit

    JRC MARS Bulletin - Crop monitoring in Europe, November 2018

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    Harvesting of root and tuber crops also affected In large parts of central Europe, persistently dry soil conditions, complicated field preparations and sowing operations, and limited plant emergence and early crop development. Rapeseed areas in Germany, eastern Poland and northern Czechia are expected to be significantly reduced. Soft wheat can still be (re)sown in some countries. Favourable conditions for the sowing and emergence of winter crops prevailed in most parts of western and northern Europe.JRC.D.5-Food Securit

    La modelación biofísica y agroclimática: Asimilación y aplicación de la plataforma BioMA en Cuba para evaluar los impactos del cambio climático y opciones de adaptación

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    Este informe resume el trabajo realizado para hacer la transferencia de la plataforma BioMA a Cuba y sus primeras aplicaciones para evaluar los impactos del cambio climático y de opciones de adaptación del agro-manejo. Estos trabajos fueron conducidos en el contexto del proyecto BASAL Proyecto Bases Ambientales para la Sostenibilidad Alimentaria Local (BASAL), un proyecto de cooperación de Cuba con la Unión Europea, que pretende reducir las vulnerabilidades relacionadas con el cambio climático en el sector agrícola a nivel local y nacional.JRC.D.5-Food Securit

    The Silent Epidemic of Diabetic Ketoacidosis at Diagnosis of Type 1 Diabetes in Children and Adolescents in Italy During the COVID-19 Pandemic in 2020

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    To compare the frequency of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes in Italy during the COVID-19 pandemic in 2020 with the frequency of DKA during 2017-2019
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