173 research outputs found

    Mauro Tebaldi, Il Presidente della Repubblica, Bologna, Il Mulino, 2005, pp. 343.

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    The author offers a review of the book by M. Tebaldi concerning the President of the Repubblic in the Italian constitutional system

    Supporting data for Tebaldi et al. 2021 - Nature Climate Change

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    This is the dataset underpinning the paper "Extreme Sea Levels at Different Global Warming Levels" accepted in Nature Climate Change in 2021. Information about the paper as well as the supporting code used to process and analyze the data can be found at: https://github.com/DOE-ICoM/tebaldi-etal_2021_natclimchange.This research was supported by the U.S. Department of Energy, Office of Science, as part of research in the MultiSector Dynamics, Earth and Environmental System Modeling Program. Pacific Northwest National Laboratory is a multi-program national laboratory operated by Battelle for the U.S. Department of Energy under Contract DE-AC05-76RL01830

    Influence of Large Scale Circulation Measures on Precipitation at Local Stations in the South East of the US Claudia Tebaldi NRCSE

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    this paper, ruled out the existence of a significant signal in either processes (intensity and occurrence) of such patterns like SOI, NPA, NAO, when considering a number of isolated stations in the South East of the US. This paper presents results from a subsequentchoice of explanatory variables, found to be more signi cantly related to the precipitation statistics in the area. Section 2 describes the data on which the results of our analysis are predicated. Section 3 briey lls in some notational details and presents results from a nonparametric exploratory data analysis stage and dierent ts of chain dependent processes to the local stations' data, comparing the performance of several choices for the dependence of the parameters on a dicotomous index of pressure over the area. Section 4 lists the results from tting the same process parameters in a waythatallows dependence on monthly/daily values of the index, this time letting the index assume values in a continuous interval. Section 5 reports the results of tting hidden Markov models using no circulation information, monthly or daily pressure indices. Discussion and further directions follow. atlanta augusta birmingham charlotte memphis nashville raleigh tallahassee Figure 1: The 8 stations under analysis. 2 Data Speci cations The rainfall data span the period 1949-1996. Daily time series of precipitation occurrence and amounts at 8 stations in the South-East region of the US have been recorded. Our analysis isolates the three winter months of each year (December, January and February), the period when the precipitation mechanisms are less inuenced by local, convective phenomena, and rather respond to larger scale circulation features over the area. The total number of daily observations for each station - not acco..

    Reusing Waste Food-packaging Plastic as Additive Modifier in Asphalt Mixtures

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    Packaging waste originated from the food-drinking sector is obtained through the maceration process, which allows the separation of aluminum foil, paper, and plastic. Due to this process, paper and aluminum foil can be reused, while plastic must be disposed. This paper aims to reuse the disposed plastic coming from this process as additive modifier to produce Polymer Modified Asphalt (PMA) mixtures. The research followed chemical and mechanical analyses. The chemical analysis evaluated whether the temperature of production of PMA was enough to melt the waste plastic and studied the chemical composition of the plastic used. Therefore, the melting points of the polymeric components were identified by the Differential Scanning Calorimetry (DSC), Fourier-transform infrared (FT-IR) spectroscopy, and X-Ray Diffraction (XRD) analysis assessed its composition. The mechanical analysis was performed by comparing the PMA mixtures, containing two percentages of reused plastic (5% and 10%), with two mixes prepared with 3.5% Styrene-Butadiene-Styrene (SBS) modified asphalt, using the SuperPave Indirect Tensile Test (IDT) at 10 °C. The DSC highlighted compatibility of the reused material in terms of melting temperatures. XRD and FT-IR results confirmed the waste plastic heterogeneity, presenting mainly Polyethylene (PE), High-Density Polyethylene (HDPE), Low-Density Polyethylene (LDPE), Polypropylene (PP), Polyethylene terephthalate (PET), and Polystyrene (PS). The mechanical analysis showed that 5% plastic PMAs behave similarly to 3.5% linear SBS-modified mixes. However, 10% plastic content decreased PMA workability. In conclusion, it was possible to notice that a 10% increase of plastic in PMAs result in mixes prone to early failure and outside standard parameters

    ScenarioMIP workshop: Pathway to next generation scenarios for CMIP7

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    On June 20-22, 2023, the first meeting of the ScenarioMIP project under the new phase of the Coupled Model Intercomparison Project, CMIP7, was held in Reading, UK. There were 78 meeting attendees in total, with 37 in person and 41 online. Participants were primarily members of scenario-related MIPs, including the ScenarioMIP Scientific Steering Committee, as well as relevant scientific experts identified by the MIPs, representatives of ESM modelling centres, and leadership of CMIP. After the conclusion of the meeting, the ScenarioMIP co-chairs Brian O'Neill, Claudia Tebaldi, and Detlef van Vuuren, and the Scientific Steering Committee have written a workshop report. This report summarises the key outcomes of the discussions during the event and outlines some of the next steps in developing the ScenarioMIP protocol and it's implementation

    Allowances for evolving coastal flood risk under uncertain local sea-level rise

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    Estimates of future flood hazards made under the assumption of stationary mean sea level are biased low due to sea-level rise (SLR). However, adjustments to flood return levels made assuming fixed increases of sea level are also inadequate when applied to sea level that is rising over time at an uncertain rate. SLR allowances—the height adjustment from historic flood levels that maintain under uncertainty the annual expected probability of flooding—are typically estimated independently of individual decision-makers’ prefer- ences, such as time horizon, risk tolerance, and confidence in SLR projections. We provide a framework of SLR allowances that employs complete probability distributions of local SLR and a range of user-defined flood risk management preferences. Given non-stationary and uncertain sea-level rise, these metrics provide estimates of flood protection heights and off- sets for different planning horizons in coastal areas. We illustrate the calculation of various allowance types for a set of long-duration tide gauges along U.S. coastlines

    Past and future sea-level rise along the coast of North Carolina, USA

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    We evaluate relative sea level (RSL) trajectories for North Carolina, USA, in the context of tide-gauge measurements and geological sea-level proxy reconstructions spanning the last ∼11,000 years. RSL rise was fastest (∼7 mm/yr) during the early Holocene and slowed over time with the end of the deglaciation. During the pre-Industrial Common Era (i.e., 0–1800 CE), RSL rise (∼0.7 to 1.1 mm/yr) was driven primarily by glacio-isostatic adjustment, though dampened by tectonic uplift along the Cape Fear Arch. Ocean/atmosphere dynamics caused centennial variability of up to ∼0.6 mm/yr around the long-term rate. It is extremely likely (probability P = 0.95) that 20th century RSL rise at Sand Point, NC, (2.8 ± 0.5 mm/yr) was faster than during any other century in at least 2,900 years. Projections based on a fusion of process models, statistical models, expert elicitation, and expert assessment indicate that RSL at Wilmington, NC, is very likely (P = 0.90) to rise by 42–132 cm between 2000 and 2100 under the high-emissions RCP 8.5 pathway. Under all emission pathways, 21st century RSL rise is very likely (P > 0.90) to be faster than during the 20th century. Due to RSL rise, under RCP 8.5, the current ‘1-in-100 year’ flood is expected at Wilmington in ∼30 of the 50 years between 2050-2100.The final publication is available at Springer via http://dx.doi.org/10.1007/s10584-015-1451-xPeer reviewe

    Climate resilience of the top ten wheat producers in the Mediterranean and the Middle East

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    Wheat is the main staple crop and an important commodity in the Mediterranean and the Middle East. These are among the few areas in the world where the climate is suitable for growing durum wheat but also are among the most rapidly warming ones, according to the available scenarios of climate projections. How much food security and market stability in the Mediterranean and the Middle East, both depending on wheat production and its interannual variability, are going to be compromised by global warming is an overarching question. To contribute in addressing it, we use a recently established indicator to quantify crop production climate resilience. We present a methodological framework allowing to compute the annual production resilience indicator from nonstationary time series. We apply this approach on the wheat production of the 10 most important producers in the Mediterranean and the Middle East. Our findings shows that if no adaptation will take place, wheat production reliability in the Mediterranean and the Middle East will be threatened by climate change already at 1.5 °C global warming. Average climaterelated wheat production losses will exceed the worst past event even if the 2 °C mitigation target is met. These results call for urgent action on adaptation to climate change and support further efforts for mitigation, fully consistently with the Paris Agreement recommendations.Fil: Zampieri, Matteo. Joint Research Centre; ItaliaFil: Toreti, Andrea. Joint Research Centre; ItaliaFil: Ceglar, Andrej. Joint Research Centre; ItaliaFil: Naumann, Gustavo. Joint Research Centre; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Turco, Marco. Universidad de Murcia; EspañaFil: Tebaldi, Claudia. Joint Global Change Research Institute; Itali

    A consistent dataset for net income deciles for 190 countries, aggregated to 32 geographical regions from 1958-2015

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    <p>This is a data record which corresponds to the paper "A consistent dataset for the net income distribution for 190 countries and aggregated to 32 geographical regions from 1958 to 2015" (Narayan et al. 2024, ESSD)</p> <p>The final paper is available here-https://essd.copernicus.org/articles/16/2333/2024/</p> <p>Description/Abstract-Data on income distributions within and across countries are becoming increasingly important for informing analysis of income inequality and understanding the distributional consequences of climate change. While datasets on income distribution collected from household surveys are available for multiple countries, these datasets often do not represent the same concept of inequality (or income concept) and therefore make comparisons across countries, over time and across datasets difficult. Here, we present a consistent dataset of income distributions across 190 countries from 1958 to 2015 measured in terms of net income. We complement the observed values in this dataset with values imputed from a summary measure of the income distribution, specifically the Gini coefficient. For the imputation, we use a recently developed nonparametric principal-component-based approach that shows an excellent fit to data on income distributions compared to other approaches. We also present another version of this dataset aggregated from the country level to 32 geographical regions. Our dataset is developed for the purpose of calibrating models such as integrated human–Earth system models with detailed data on income distributions. This dataset will enable more robust analysis of income distribution at multiple scales. </p> <p>Citation for paper- Narayan, K. B., O'Neill, B. C., Waldhoff, S., and Tebaldi, C.: A consistent dataset for the net income distribution for 190 countries and aggregated to 32 geographical regions from 1958 to 2015, Earth Syst. Sci. Data, 16, 2333–2349, https://doi.org/10.5194/essd-16-2333-2024, 2024.</p> <p> </p&gt
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