| 1. |
- Döscher, Ralf, et al.
(author)
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The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6
- 2022
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In: Geoscientific Model Development. - : Copernicus GmbH. - 1991-959X .- 1991-9603. ; 15:7, s. 2973-3020
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Journal article (peer-reviewed)abstract
- The Earth system model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major model configurations, a methodology for ensuring the simulations are comparable across different high-performance computing (HPC) systems, and with the physical performance of base configurations over the historical period. The variety of possible configurations and sub-models reflects the broad interests in the EC-Earth community. EC-Earth3 key performance metrics demonstrate physical behavior and biases well within the frame known from recent CMIP models. With improved physical and dynamic features, new Earth system model (ESM) components, community tools, and largely improved physical performance compared to the CMIP5 version, EC-Earth3 represents a clear step forward for the only European community ESM. We demonstrate here that EC-Earth3 is suited for a range of tasks in CMIP6 and beyond.
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| 2. |
- Alessandri, Andrea, et al.
(author)
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Multi-scale enhancement of climate prediction over land by increasing the model sensitivity to vegetation variability in EC-Earth
- 2017
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In: Climate Dynamics. - : Springer Science and Business Media LLC. - 1432-0894 .- 0930-7575. ; 49:4, s. 1215-1237
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Journal article (peer-reviewed)abstract
- The EC-Earth earth system model has been recently developed to include the dynamics of vegetation. In its original formulation, vegetation variability is simply operated by the Leaf Area Index (LAI), which affects climate basically by changing the vegetation physiological resistance to evapotranspiration. This coupling has been found to have only a weak effect on the surface climate modeled by EC-Earth. In reality, the effective sub-grid vegetation fractional coverage will vary seasonally and at interannual time-scales in response to leaf-canopy growth, phenology and senescence. Therefore it affects biophysical parameters such as the albedo, surface roughness and soil field capacity. To adequately represent this effect in EC-Earth, we included an exponential dependence of the vegetation cover on the LAI. By comparing two sets of simulations performed with and without the new variable fractional-coverage parameterization, spanning from centennial (twentieth century) simulations and retrospective predictions to the decadal (5-years), seasonal and weather time-scales, we show for the first time a significant multi-scale enhancement of vegetation impacts in climate simulation and prediction over land. Particularly large effects at multiple time scales are shown over boreal winter middle-to-high latitudes over Canada, West US, Eastern Europe, Russia and eastern Siberia due to the implemented time-varying shadowing effect by tree-vegetation on snow surfaces. Over Northern Hemisphere boreal forest regions the improved representation of vegetation cover tends to correct the winter warm biases, improves the climate change sensitivity, the decadal potential predictability as well as the skill of forecasts at seasonal and weather time-scales. Significant improvements of the prediction of 2 m temperature and rainfall are also shown over transitional land surface hot spots. Both the potential predictability at decadal time-scale and seasonal-forecasts skill are enhanced over Sahel, North American Great Plains, Nordeste Brazil and South East Asia, mainly related to improved performance in the surface evapotranspiration.
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| 3. |
- Onder, Graziano, et al.
(author)
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Italian guidelines on management of persons with multimorbidity and polypharmacy
- 2022
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In: Aging Clinical and Experimental Research. - : Springer Science and Business Media LLC. - 1594-0667 .- 1720-8319. ; 34:5, s. 989-996
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Journal article (peer-reviewed)abstract
- Multimorbidity and polypharmacy are emerging health priorities and the care of persons with these conditions is complex and challenging. The aim of the present guidelines is to develop recommendations for the clinical management of persons with multimorbidity and/or polypharmacy and to provide evidence-based guidance to improve their quality of care. The recommendations have been produced in keeping with the Grading of Recommendations Assessment, Development and Evaluation (GRADE). Overall, 14 recommendations were issued, focusing on 4 thematic areas: (1.) General Principles; (2.) target population for an individualized approach to care; (3.) individualized care of patients with multimorbidity and/or polypharmacy; (4.) models of care. These recommendations support the provision of individualized care to persons with multimorbidity and/or polypharmacy as well as the prioritization of care through the identification of persons at increased risk of negative health outcomes. Given the limited available evidence, recommendations could not be issued for all the questions defined and, therefore, some aspects related to the complex care of patients with multimorbidity and/or polypharmacy could not be covered in these guidelines. This points to the need for more research in this field and evidence to improve the care of this population.
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