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Sökning: WFRF:(Lambert Yves)

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1.
  • Kageyama, Masa, et al. (författare)
  • The PMIP4 contribution to CMIP6-Part 1 : Overview and over-arching analysis plan
  • 2018
  • Ingår i: Geoscientific Model Development. - 1991-959X .- 1991-9603. ; 11:3, s. 1033-1057
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper is the first of a series of four GMD papers on the PMIP4-CMIP6 experiments. Part 2 (OttoBliesner et al., 2017) gives details about the two PMIP4-CMIP6 interglacial experiments, Part 3 (Jungclaus et al., 2017) about the last millennium experiment, and Part 4 (Kageyama et al., 2017) about the Last Glacial Maximum experiment. The mid-Pliocene Warm Period experiment is part of the Pliocene Model Intercomparison Project (PlioMIP) Phase 2, detailed in Haywood et al. (2016). The goal of the Paleoclimate Modelling Intercomparison Project (PMIP) is to understand the response of the climate system to different climate forcings for documented climatic states very different from the present and historical climates. Through comparison with observations of the environmental impact of these climate changes, or with climate reconstructions based on physical, chemical, or biological records, PMIP also addresses the issue of how well state-of-the-art numerical models simulate climate change. Climate models are usually developed using the present and historical climates as references, but climate projections show that future climates will lie well outside these conditions. Palaeoclimates very different from these reference states therefore provide stringent tests for state-of-the-art models and a way to assess whether their sensitivity to forcings is compatible with palaeoclimatic evidence. Simulations of five different periods have been designed to address the objectives of the sixth phase of the Coupled Model Intercomparison Project (CMIP6): the millennium prior to the industrial epoch (CMIP6 name: past1000); the mid-Holocene, 6000 years ago (midHolocene); the Last Glacial Maximum, 21 000 years ago (lgm); the Last Interglacial, 127 000 years ago (lig127k); and the mid-Pliocene Warm Period, 3.2 million years ago (midPliocene-eoi400). These climatic periods are well documented by palaeoclimatic and palaeoenvironmental records, with climate and environmental changes relevant for the study and projection of future climate changes. This paper describes the motivation for the choice of these periods and the design of the numerical experiments and database requests, with a focus on their novel features compared to the experiments performed in previous phases of PMIP and CMIP. It also outlines the analysis plan that takes advantage of the comparisons of the results across periods and across CMIP6 in collaboration with other MIPs.
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2.
  • Kageyama, Masa, et al. (författare)
  • The PMIP4 contribution to CMIP6-Part 4 : Scientific objectives and experimental design of the PMIP4-CMIP6 Last Glacial Maximum experiments and PMIP4 sensitivity experiments
  • 2017
  • Ingår i: Geoscientific Model Development. - 1991-959X .- 1991-9603. ; 10:11, s. 4035-4055
  • Tidskriftsartikel (refereegranskat)abstract
    • The Last Glacial Maximum (LGM, 21 000 years ago) is one of the suite of paleoclimate simulations included in the current phase of the Coupled Model Intercomparison Project (CMIP6). It is an interval when insolation was similar to the present, but global ice volume was at a maximum, eustatic sea level was at or close to a minimum, greenhouse gas concentrations were lower, atmospheric aerosol loadings were higher than today, and vegetation and land-surface characteristics were different from today. The LGM has been a focus for the Paleoclimate Modelling Intercomparison Project (PMIP) since its inception, and thus many of the problems that might be associated with simulating such a radically different climate are well documented. The LGM state provides an ideal case study for evaluating climate model performance because the changes in forcing and temperature between the LGM and pre-industrial are of the same order of magnitude as those projected for the end of the 21st century. Thus, the CMIP6 LGM experiment could provide additional information that can be used to constrain estimates of climate sensitivity. The design of the Tier 1 LGM experiment (lgm) includes an assessment of uncertainties in boundary conditions, in particular through the use of different reconstructions of the ice sheets and of the change in dust forcing. Additional (Tier 2) sensitivity experiments have been designed to quantify feedbacks associated with land-surface changes and aerosol loadings, and to isolate the role of individual forcings. Model analysis and evaluation will capitalize on the relative abundance of paleoenvironmental observations and quantitative climate reconstructions already available for the LGM.
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3.
  • Tubaro, Marco, et al. (författare)
  • Pre-Hospital Treatment of STEMI Patients : A Scientific Statement of the Working Group Acute Cardiac Care of the European Society of Cardiology
  • 2012
  • Ingår i: Revista Española de Cardiología. - 0300-8932 .- 1579-2242. ; 65:1, s. 60-70
  • Tidskriftsartikel (refereegranskat)abstract
    • In ST-elevation myocardial infarction (STEMI) the pre-hospital phase is the most critical, as the administration of the most appropriate treatment in a timely manner is instrumental for mortality reduction. STEMI systems of care based on networks of medical institutions connected by an efficient emergency medical service are pivotal. The first steps are devoted to minimize the patient's delay in seeking care, rapidly dispatch a properly staffed and equipped ambulance to make the diagnosis on scene, deliver initial drug therapy and transport the patient to the most appropriate (not necessarily the closest) cardiac facility. Primary PCI is the treatment of choice, but thrombolysis followed by coronary angiography and possibly PCI is a valid alternative, according to patient's baseline risk, time from symptoms onset and primary PCI-related delay. Paramedics and nurses have an important role in pre-hospital STEMI care and their empowerment is essential to increase the eff ectiveness of the system. Strong cooperation between cardiologists and emergency medicine doctors is mandatory for optimal pre-hospital STEMI care. Scientific societies have an important role in guideline implementation as well as in developing quality indicators and performance measures; health care professionals must overcome existing barriers to optimal care together with political and administrative decision makers.
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