Bibliographies thématiques / Multiple climate

Littérature scientifique sur le sujet « Multiple climate »

Auteur : Grafiati
Publié le 11 mars 2023

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Articles de revues sur le sujet "Multiple climate"

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Ferreira, David, John Marshall et Brian Rose. « Climate Determinism Revisited : Multiple Equilibria in a Complex Climate Model ». Journal of Climate 24, no 4 (15 février 2011) : 992–1012. http://dx.doi.org/10.1175/2010jcli3580.1.

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Abstract Multiple equilibria in a coupled ocean–atmosphere–sea ice general circulation model (GCM) of an aquaplanet with many degrees of freedom are studied. Three different stable states are found for exactly the same set of parameters and external forcings: a cold state in which a polar sea ice cap extends into the midlatitudes; a warm state, which is ice free; and a completely sea ice–covered “snowball” state. Although low-order energy balance models of the climate are known to exhibit intransitivity (i.e., more than one climate state for a given set of governing equations), the results reported here are the first to demonstrate that this is a property of a complex coupled climate model with a consistent set of equations representing the 3D dynamics of the ocean and atmosphere. The coupled model notably includes atmospheric synoptic systems, large-scale circulation of the ocean, a fully active hydrological cycle, sea ice, and a seasonal cycle. There are no flux adjustments, with the system being solely forced by incoming solar radiation at the top of the atmosphere. It is demonstrated that the multiple equilibria owe their existence to the presence of meridional structure in ocean heat transport: namely, a large heat transport out of the tropics and a relatively weak high-latitude transport. The associated large midlatitude convergence of ocean heat transport leads to a preferred latitude at which the sea ice edge can rest. The mechanism operates in two very different ocean circulation regimes, suggesting that the stabilization of the large ice cap could be a robust feature of the climate system. Finally, the role of ocean heat convergence in permitting multiple equilibria is further explored in simpler models: an atmospheric GCM coupled to a slab mixed layer ocean and an energy balance model.
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Bouchal, Johannes Martin, Tuncay Hüseyin Güner et Thomas Denk. « Middle Miocene climate of southwestern Anatolia from multiple botanical proxies ». Climate of the Past 14, no 10 (17 octobre 2018) : 1427–40. http://dx.doi.org/10.5194/cp-14-1427-2018.

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Abstract. The middle Miocene climate transition (MMCT) was a phase of global cooling possibly linked to decreasing levels of atmospheric CO2. The MMCT coincided with the European Mammal Faunal Zone MN6. From this time, important biogeographic links between Anatolia and eastern Africa include the hominid Kenyapithecus. Vertebrate fossils suggested mixed open and forested landscapes under (sub)tropical seasonal climates for Anatolia. Here, we infer the palaeoclimate during the MMCT and the succeeding cooling phase for a middle Miocene (14.8–13.2 Ma) intramontane basin in southwestern Anatolia using three palaeobotanical proxies: (i) Köppen signatures based on the nearest living-relative principle; (ii) leaf physiognomy analysed with the Climate Leaf Analysis Multivariate Program (CLAMP); (iii) genus-level biogeographic affinities of fossil flora with modern regions. The three proxies reject tropical and hot subtropical climates for the MMCT of southwestern Anatolia and instead infer mild warm temperate C climates. Köppen signatures reject summer-dry Cs climates but cannot discriminate between fully humid Cf and winter-dry Cw; CLAMP reconstructs Cf climate based on the low X3.wet∕X3.dry ratio. Additionally, we assess whether the palaeobotanical record resolves transitions from the warm Miocene Climatic Optimum (MCO, 16.8–14.7 Ma) to the MMCT (14.7–13.9 Ma), and a more pronounced cooling at 13.9–13.8 Ma, as reconstructed from benthic stable isotope data. For southwestern Anatolia, we find that arboreal taxa predominate in MCO flora (MN5), whereas in MMCT flora (MN6) abundances of arboreal and non-arboreal elements strongly fluctuate, indicating higher structural complexity of the vegetation. Our data show a distinct pollen zone between MN6 and MN7+8 dominated by herbaceous taxa. The boundary between MN6 and MN7+8, roughly corresponding to a first abrupt cooling at 13.9–13.8 Ma, might be associated with this herb-rich pollen zone.
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Shinoda, Masato, Troy Sternberg et Banzragch Nandintsetseg. « Multiple climate hazards in Eurasian drylands ». Natural Hazards 92, S1 (novembre 2018) : 1–2. http://dx.doi.org/10.1007/s11069-018-3516-4.

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Tien Thanh, Nguyen. « A Proposal to Evaluate Drought Characteristics Using Multiple Climate Models for Multiple Timescales ». Climate 6, no 4 (26 septembre 2018) : 79. http://dx.doi.org/10.3390/cli6040079.

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This study presents a method to investigate meteorological drought characteristics using multiple climate models for multiple timescales under two representative concentration pathway (RCP) scenarios, RCP4.5 and RCP8.5, during 2021–2050. The methods of delta change factor, unequal weights, standardized precipitation index, Mann–Kendall and Sen’s slope are proposed and applied with the main purpose of reducing uncertainty in climate projections and detection of the projection trends in meteorological drought. Climate simulations of three regional climate models driven by four global climate models are used to estimate weights for each run on the basic of rank sum. The reliability is then assessed by comparing a weighted ensemble climate output with observations during 1989–2008. Timescales of 1, 3, 6, 9, 12, and 24 months are considered to calculate the standardized precipitation index, taking the Vu Gia-Thu Bon (VG-TB) as a pilot basin. The results show efficient precipitation simulations using unequal weights. In the same timescales, the occurrence of moderately wet events is smaller than that of moderately dry events under the RCP4.5 scenario during 2021–2050. Events classified as “extremely wet”, “extremely dry”, “very wet” and “severely dry” are expected to rarely occur under the RCP8.5 scenario.
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Oo, Han Thi, Win Win Zin et Cho Cho Thin Kyi. « Assessment of Future Climate Change Projections Using Multiple Global Climate Models ». Civil Engineering Journal 5, no 10 (7 octobre 2019) : 2152–66. http://dx.doi.org/10.28991/cej-2019-03091401.

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Nowadays, the hydrological cycle which alters river discharge and water availability is affected by climate change. Therefore, the understanding of climate change is curial for the security of hydrologic conditions of river basins. The main purpose of this study is to assess the projections of future climate across the Upper Ayeyarwady river basin for its sustainable development and management of water sector for this area. Global Ten climate Models available from CMIP5 represented by the IPCC for its fifth Assessment Report were bias corrected using linear scaling method to generate the model error. Among the GCMs, a suitable climate model for each station is selected based on the results of performance indicators (R2 and RMSE). Future climate data are projected based on the selected suitable climate models by using future climate scenarios: RCP2.6, RCP4.5, and RCP8.5. According to this study, future projection indicates to increase in precipitation amounts in the rainy and winter season and diminishes in summer season under all future scenarios. Based on the seasonal temperature changes analysis for all stations, the future temperature are predicted to steadily increase with higher rates during summer than the other two seasons and it can also be concluded that the monthly minimum temperature rise is a bit larger than the maximum temperature rise in all seasons.
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Varzinczak, Luiz H., Mauricio O. Moura et Fernando C. Passos. « Shifts to multiple optima underlie climatic niche evolution in New World phyllostomid bats ». Biological Journal of the Linnean Society 128, no 4 (22 octobre 2019) : 1008–20. http://dx.doi.org/10.1093/biolinnean/blz123.

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Abstract Climate underlies species distribution patterns, especially in species where climate limits distributions, such as the phyllostomid bats, which are mostly restricted to the New World tropics. The evolutionary dynamics that shaped phyllostomid climatic niches remain unclear, and a broad phylogenetic perspective is required to uncover their patterns. We used geographical distributions and evolutionary relationships of 130 species, climate data and phylogenetic comparative methods to uncover dynamics of phyllostomid climatic niche evolution. Diversification of climatic niches began early in phyllostomid evolution (~34 Mya), with most changes taking place ~20 Mya. Although most of these bats were found in tropical regions, shifts towards different evolutionary optima were common. Shifts were mostly towards temperate climates, reflecting complexities in phyllostomid evolution highlighted by the probable role of species-specific adaptations to cope with these climates, the influence of palaeoclimatic events, and biogeographical effects related to the evolution and dispersal of clades in the New World. Our results broaden our understanding of the relationships between phyllostomid bats and climate, filling an important gap in knowledge and suggesting a complex evolution in their occupation of the climatic niche space.
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García-Buades, María Esther, Carmen Ramis-Palmer et María Antonia Manassero-Mas. « Climate for innovation, performance, and job satisfaction of local police in Spain ». Policing : An International Journal of Police Strategies & ; Management 38, no 4 (16 novembre 2015) : 722–37. http://dx.doi.org/10.1108/pijpsm-02-2015-0019.

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Purpose – The purpose of this paper is to examine the extent to which climate for innovation, supportive climate, and rules climate influence job performance and satisfaction of local police (LP) officers in Spain. By integrating multiple climates simultaneously into a single study the authors assess the added value of climate for innovation. Design/methodology/approach – Participants included 175 LP officers who completed a questionnaire including measures of climate (FOCUS-93), job satisfaction, and perceived performance. Findings – Multiple regression analyses showed that developing a climate for innovation has a positive impact on police satisfaction and perceived performance beyond that of well-established climates. Climate for innovation emerges as the main predictor of job satisfaction, while it provides a small, significant increment of explained variance in perceived performance. Practical implications – Policy makers should enable participation of officers in the innovating process, thus improving the quality of change and creating a better work environment. Originality/value – Building on the competing values framework (Quinn and Rohrbaugh, 1983), this research is a contribution towards understanding how different climate types combine and relate to each other to account for officers’ behaviours and outcomes.
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Todd, Chelsea. « Climate Control ». Consumer Electronics Test & ; Development 2022, no 2 (octobre 2022) : 46–47. http://dx.doi.org/10.12968/s2754-7744(23)70108-5.

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Sunlight, heat and moisture can damage consumer electronics products in multiple ways, but with a well-designed testing program these risks can be detected, mitigated and even prevented, says Atlas Material Testing.
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Mann, M. E. « CLIMATE RECONSTRUCTION : The Value of Multiple Proxies ». Science 297, no 5586 (30 août 2002) : 1481–82. http://dx.doi.org/10.1126/science.1074318.

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North, Gerald R. « Multiple solutions in energy balance climate models ». Palaeogeography, Palaeoclimatology, Palaeoecology 82, no 3-4 (août 1990) : 225–35. http://dx.doi.org/10.1016/s0031-0182(12)80003-4.

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Thèses sur le sujet "Multiple climate"

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Nordin, Ida. « Multiple tipping points in the climate system : Implications for climate policy ». Thesis, Umeå universitet, Nationalekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-92603.

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Mason, Suzanna. « Examining species' responses to climate change across multiple taxonomic groups ». Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/19677/.

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Many species are responding to anthropogenic climate change by shifting their ranges to higher latitudes. Understanding the factors that drive species’ responses will help ecologists and conservationists develop strategies to avoid negative climate change impacts. I investigated shifts at the northern (cool) range margins of 1573 southerly-distributed species from 21 animal groups in Great Britain, over the past four decades. My findings confirm continued polewards range shifts (18 km decade-1 over 1986-2010). I then concentrated on 347 British species from 14 invertebrate taxa, discovering considerable variation in the distances moved within each taxonomic group (but not between groups). I used land cover data and distribution records to determine each species’ habitat specialism, and to quantify habitat availability. Habitat availability explained up to half of the range shift variation. I conclude that interactions between species’ attributes and the environment are important determinants of range shifts. Abundance data are used to study species’ responses to environmental changes but, unlike distribution records, are not available for many taxa. Data from 33 British butterflies revealed a strong correlation between mean year-to-year changes in total number of distribution records and mean year-to-year change in abundance, suggesting that distribution data can be used to identify species’ population variability, and ecologists can investigate the influence of climate change on species’ populations without abundance data. I conclude that rates of range shifting are highly variable among species, suggesting that understanding species-specific range shifts is necessary to assess species’ responses to climate change. The availability of habitat at the range margin strongly influence rates of range shifting which suggests the need for habitat management aimed at facilitating species’ dispersal and population establishment. Citizen science data have potential to assist ecologists in examining species’ responses to climate change and in identifying, predicting and mitigating climate change impacts in the future.
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Gordon, Miles P. « Climate Planning with Multiple Knowledge Systems : The Case of Tribal Adaptation Plans ». Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou152475789156055.

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Hou, Huiyi, et 侯慧仪. « Marine biofouling organisms respond to multiple stressors in a changing climate ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/194551.

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The marine environment is likely to experience profound climate change in the coming 100 years and beyond. Ocean acidification (OA) is one of the climate change issues attracting the attention of researchers all over the world. The decreasing pH of the oceans might threaten marine biofouling organisms. However, climate change is not only involved with ocean acidification (OA) but the change of other environmental variables, such as temperature and salinity. These environmental factors act as multiple stressors and synergistically affect shell-forming biofoulers, in which, the calcium carbonate skeleton structure plays an important role of protection. Previous studies regarding the response of marine biofoulers to the environmental stressors were generally summarized in this article. Then a calcifying biofouling tube worm, Hydroides elegans, were reared from larval stage to early juvenile stage under control and treatment conditions to examine the combined effects of temperature (24, 30°C), pH (8.1, 7.7) and salinity (34, 27ppt). Juvenile growth and chemical composition (Mg/Ca and Sr/Ca) of their calcareous tubes were tested and used as assessment of effects of the three environmental stressors. The experiment revealed that H. elegans was robust to the environmental change because juvenile development positively responded to temperature and the interaction between temperature and salinity. Other combinations did not exert significant effect. The results suggest the need of further study of proteomics and transcriptomics to reveal the mechanisms of calcification as well as long-term studies to examine the energy costs of adaptation. In addition, the non-significant chemical composition (Mg/Ca and Sr/Ca) of the tube of this organism suggest a need of further exploration of the same animal but not only focus on three factors but the seawater chemical composition as well.
published_or_final_version
Environmental Management
Master
Master of Science in Environmental Management
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Tong, Fan. « Capacity demand and climate in Ekerö : Development of tool to predict capacity demand underuncertainty of climate effects ». Thesis, KTH, Elektroteknisk teori och konstruktion, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152522.

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The load forecasting has become an important role in the operation of power system, and several models by using different techniques have been applied to solve these problems. In the literature, the linear regression models are considered as a traditional approach to predict power consumption, and more recently, the artificial neural network (ANN) models have received more attention for a great number of successful and practical applications. This report introduces both linear regression and ANN models to predict the power consumption for Fortum in Ekerö. The characteristics of power consumption of different kinds of consumers are analyzed, together with the effects of weather parameters to power consumption. Further, based on the gained information, the numerical models of load forecasting are built and tested by the historical data. The predictions of power consumption are focus on three cases separately: total power consumption in one year, daily peak power consumption during winter and hourly power consumption. The processes of development of the models will be described, such as the choice of the variables, the transformations of the variables, the structure of the models and the training cases of ANN model. In addition, two linear regression models will be built according to the number of input variables. They are simple linear regression with one input variable and multiple linear regression with several input variables. Comparison between the linear regression and ANN models will be carried out. In the end, it finds out that the linear regression obtains better results for all the cases in Ekerö. Especially, the simple linear regression outperforms in prediction of total power consumption in one year, and the multiple linear regression is better in prediction of daily peak load during the winter.
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Star, Jonathan, Erika L. Rowland, Mary E. Black, Carolyn A. F. Enquist, Gregg Garfin, Catherine Hawkins Hoffman, Holly Hartmann, Katharine L. Jacobs, Richard H. Moss et Anne M. Waple. « Supporting adaptation decisions through scenario planning : Enabling the effective use of multiple methods ». ELSEVIER SCIENCE BV, 2016. http://hdl.handle.net/10150/622731.

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Scenario planning is a technique used to inform decision-making under uncertainty, and is increasingly applied in the field of climate change adaptation and policy. This paper describes applications that combine previously distinct scenario methods in new and innovative ways. It draws on numerous recent independent case studies to illustrate emerging practices, such as far stronger connections between researcher-driven and participatory approaches and cycling between exploratory and normative perspectives. The paper concludes with a call for greater support for, and collaboration among, practitioners with the argument that mixed methods are most effective for decision-making in the context of climate change challenges.
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Dusselier, Hallie E. « Understanding 20th Century Antarctic Pressure Variability and Change in Multiple Climate Model Simulations ». Ohio University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1469189473.

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Thompson, William F. « Parametrization and multiple time scale problems with non-Gaussian statistics related to climate dynamics ». Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54557.

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Many problems in climate modelling are characterized by their chaotic nature and multiple time scales. Stochastic parametrization methods can often simplify the analysis of such problems by using appropriate stochastic processes to account for degrees of freedom that are impractical to model explicitly, such that the statistical features of the reduced stochastic model are consistent with more complicated models and/or observational data. However, applying appropriate stochastic parametrizations is generally a non-trivial task. This is especially true when the statistics of the approximated processes exhibit non-Gaussian features, like a non-zero skewness or infinite variance. Such features are common in problems with nonlinear dynamics, anomalous diffusion processes, and multiple time scales. Two common topics in stochastic parameterization are model parameter estimation and the derivation of reduced stochastic models. In this dissertation, we study both of these topics in the context of stochastic differential equation models, which are the preferred formalism for continuous-time modelling problems. The motivation for this analysis is given by problems in atmospheric or climate modelling. In Chapter 2, we estimate parameters of a dynamical model of sea surface vector winds using a method based on the properties of differential operators associated with the probabilistic evolution of the wind model. The parameter fields we obtain allow us to reproduce statistics of the vector wind data and inform us regarding the limitations of both the estimation method and the model itself. In Chapter 3, we derive reduced stochastic models for a class of dynamical models with multiple time scales that are driven by α-stable stochastic forcing. The results of Chapter 3 are applied in Chapter 4, where we derive a similar approximation for processes that are driven by a fast linear process experiencing additive and multiplicative Gaussian white noise forcing. The results of these chapters complement previous results for systems driven by Gaussian white noise and suggest a possible dynamical mechanism for the appearance of α-stable stochastic forcing in some climatic time series.
Science, Faculty of
Mathematics, Department of
Graduate
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Gooding, Rebecca Ann. « Multiple abiotic changes and species interactions mediate responses to climate change on rocky shores ». Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45550.

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Anthropogenic climate change poses a serious threat to biodiversity. Accurate predictions of the ecological consequences of future abiotic change will require a broad perspective that takes into account multiple climate variables, species-specific responses, and intra- and interspecific dynamics. I addressed these issues in the context of a marine rocky intertidal community to determine how abiotic and biotic factors can mediate the effects of climate change. I began with two studies on the organismal-level effects of multiple abiotic variables. In the first study, I found that acute exposure to low salinity reduced the survival of littorine snails facing thermal stress, but that ocean acidification (OA) had no such effect. In a second study, I showed that sustained exposure to increased temperature and OA had positive and additive effects on the growth and feeding of the purple ochre sea star. These findings demonstrate that studies of multiple climate variables will be important not only to identify additive and non-additive effects, but also to determine which climate variables will be detrimental for a given species. Next, I measured how species-specific responses to climate change can alter species interactions. By quantifying the effects of body size on the feeding behaviours of sea stars preying on mussels, I demonstrated that climate-driven changes in body size can have profound impacts on the strength of this interaction. Finally, I investigated how population-level responses to multiple abiotic variables can be affected by the presence of an interacting species. I built a predator-prey model that simulates the ecologically important interaction between the purple ochre sea star and its preferred prey, mussels. Using empirical estimates of sea star and mussel responses to increased temperature and OA, I simulated their interaction under various climate scenarios. I found that predation exacerbated the effects of climate change on mussel populations, and that climate change increased the strength of the sea star-mussel interaction. My work demonstrates that the effects of climate change will likely be mediated by a combination of biotic and abiotic factors, and that these factors should be considered when making predictions about the ecological consequences of climate change.
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Rose, Brian E. J. (Brian Edward James). « Oceanic control of the sea ice edge and multiple equilibria in the climate system ». Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62496.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 215-227).
I study fundamental mechanisms of atmosphere-ocean-sea ice interaction. Hierarchies of idealized models are invoked to argue that multiple equilibria and abrupt change are robust features of the climate system. The main finding is that meridional structure in poleward oceanic energy transport, which is set by the wind forcing, gives rise to preferred latitudes for the sea ice edge, including a stable large ice cap extending into mid-latitudes. I review multiple equilibria in energy balance models (EBMs), and extend the EBM to include explicit ocean heat transport (OHT) and insulating sea ice. I derive a method for simultaneously satisfying global energy and angular momentum budgets through a diffusive closure for potential vorticity, enabling a prediction of the basic shape of the surface wind stress. An idealized model of wind-driven gyres links this stress to OHT, and gives significant structure on sub-hemispheric scales in agreement with observations. This model predicts a stable large ice cap solution not found in the classic EBM, made possible by convergence of OHT in mid-latitudes. Analogous multiple equilibria are found in coupled atmosphere-ocean-sea ice general circulation model (GCM) simulations with idealized geometry (a pure aquaplanet and a "ridgeworld" with a global-scale ocean basin). Despite differing ocean dynamics, both configurations support similar equilibria: an ice-free climate, a cold climate with mid-latitude sea ice edge, and a completely ice-covered Snowball state. Multiple states persist despite a seasonal cycle and vigorous internal variability. Simulations with slowly-evolving thermal forcing show that some transitions between the ice-free and large ice cap states are abrupt. Multiple equilibria are explored in uncoupled simulations with prescribed OHT. The large ice cap is stabilized by wind-driven convergence of OHT at the poleward edge of the subtropical thermocline. The size of the large ice cap is sensitive to the meridional and seasonal distribution of OHT convergence. The ice-free state persists in the absence of high-latitude OHT. Mid-latitude convergence of OHT warms the poles by driving increased atmospheric heat transport to the poles. This effect is captured in a simple diffusive EBM. I discuss the significance of these findings for understanding the paleoclimate record.
by Brian E. J. Rose.
Ph.D.
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Livres sur le sujet "Multiple climate"

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Baldy, Charles. Agrometeorology of multiple cropping in warm climates. Paris : Institut national de la recherche agronomique, 1997.

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France. Ambassade (India). Centre for Human Sciences, dir. Aligning development, air quality and climate policies for multiple dividends. New Delhi, India : Rajdhani Art Press, 2007.

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Deepa, Menon-Choudhary, et France. Ambassade (India). Centre for Human Sciences., dir. Aligning development, air quality, and climate policies for multiple dividends. New Delhi : Centre de Sciences Humaines, 2007.

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Miller, N. L. An analysis of simulated California climate using multiple dynamical and statistical techniques : Final paper. Sacramento, Calif.] : California Energy Commission, 2009.

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Fischer, Günther. AEZWIN, an interactive multiple-criteria analysis tool for land resources appraisal. Rome : International Institute for Applied Systems Analysis, 1999.

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M, Welch Ronald, et United States. National Aeronautics and Space Administration., dir. Global single and multiple cloud classification with a fuzzy logic expert system. [Washington, DC : National Aeronautics and Space Administration, 1996.

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W, Gerstl S. A., Tornow Carmen et United States. National Aeronautics and Space Administration., dir. Accurate top of the atmosphere albedo determination from multiple views of the Multi-angle Imaging Spectro-Radiometer (MISR) instrument. [Los Alamos, N.M.] : Los Alamos National Laboratory, 1996.

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Bumpus, Adam. Realizing local devlopment in the carbon commodity chain : Political economy, value and connecting carbon commodities at multiple scales. Geneva : UNRISD, United Nations Research Instiutte for Social Development, 2011.

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S, Ashton Peter, dir. Not by timber alone : Economics and ecology for sustaining tropical forests. Washington, D.C : Island Press, 1992.

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Zinyengere, Nkulumo, Theobald Frank Theodory, Million Gebreyes et Chinwe Ifejika Speranza. Beyond Agricultural Impacts : Multiple Perspectives on Climate Change in Africa. Elsevier Science & Technology Books, 2017.

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Chapitres de livres sur le sujet "Multiple climate"

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Lashof, Daniel. « Multiple benefit Environmental Policies ». Dans Global Climate Change, 65–71. Boston, MA : Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-2161-4_7.

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Verlie, Blanche. « Witnessing multiple climate realities ». Dans Learning to Live with Climate Change, 65–87. London : Routledge, 2021. http://dx.doi.org/10.4324/9780367441265-4.

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Mortsch, L. D. « Multiple Dimensions of Vulnerability and Its Influence on Adaptation Planning and Decision Making ». Dans Climate, 67–88. Dordrecht : Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1770-1_5.

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Sampaio, Eduardo, et Rui Rosa. « Climate Change, Multiple Stressors, and Responses of Marine Biota ». Dans Climate Action, 264–75. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95885-9_90.

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Honda, Shunwa. « Climate change and local knowledge in Eastern Arctic Inuit society ». Dans The World Multiple, 83–101. Abingdon, Oxon ; New York, NY : Routledge, 2019. : Routledge, 2018. http://dx.doi.org/10.4324/9780429456725-6.

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Stocker, Thomas. « Multiple Equilibria in the Climate System ». Dans Introduction to Climate Modelling, 151–64. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-00773-6_9.

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Diaz, Henry F., R. Sari Kovats, Anthony J. McMichael et Neville Nicholls. « Climate and Human Health Linkages on Multiple Timescales ». Dans History and Climate, 267–89. Boston, MA : Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3365-5_13.

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Farzaneh, Hooman. « Climate Change Multiple Impact Assessment Models ». Dans Energy Systems Modeling, 107–29. Singapore : Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6221-7_5.

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Chen, Robert S. « Climate Change in the Context of Multiple Threats ». Dans Climate and Geo-Sciences, 623–31. Dordrecht : Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2446-8_38.

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Cessi, Paola, et William R. Young. « Multiple equilibria in β-plane thermohaline convection ». Dans Ice in the Climate System, 375–93. Berlin, Heidelberg : Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-85016-5_22.

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Actes de conférences sur le sujet "Multiple climate"

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Sreehari, E., et Satyajee Srivastava. « Prediction of Climate Variable using Multiple Linear Regression ». Dans 2018 4th International Conference on Computing Communication and Automation (ICCCA). IEEE, 2018. http://dx.doi.org/10.1109/ccaa.2018.8777452.

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« Risk-Based Multiple Criteria Decision Analysis for Ranking Climate Change Mitigation Scenarios ». Dans ASABE 1st Climate Change Symposium : Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152101156.

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Shelton, Jacquelyn, Przemyslaw Polewski et Wei Yao. « U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery ». Dans CI2020 : 10th International Conference on Climate Informatics. New York, NY, USA : ACM, 2020. http://dx.doi.org/10.1145/3429309.3429328.

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Robertson, Andrew, Upmanu Lall, Stephen Zebiak et Balaji Rajagopalan. « Categorical Climate Forecasts through Optimal Combination of Multiple GCM Ensembles ». Dans World Water and Environmental Resources Congress 2003. Reston, VA : American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40685(2003)184.

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« AgMIP Crop Modeling Teams - Testing Multiple Models for Accurate Prediction of Evapotranspiration and Growth Response to Climatic Factors ». Dans ASABE 1st Climate Change Symposium : Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152143120.

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Yang, Jie, LuPing Ji, Qiang Wang et Xin Lu. « The prediction model of stroke on climate factors by multiple regression ». Dans 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2016. http://dx.doi.org/10.1109/itnec.2016.7560428.

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Schanz, Sarah A., David R. Montgomery, Brian D. Collins et Alison R. Duvall. « MULTIPLE PATHS TO CLIMATIC STRATHS : HOW LOCAL CONDITIONS AND DATING METHODS OBSCURE TERRACE CORRELATION WITH CLIMATE CYCLES ». Dans GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-299637.

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Caparros-Midwood, D., S. Barr et R. Dawson. « Optimization of Urban Spatial Development Against Multiple Sustainability Objectives and Climate Risks ». Dans Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). Reston, VA : American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.015.

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Behrangi, Ali, et Hartmut H. Aumann. « Intercalibration and concatenation of climate quality infrared cloudy radiances from multiple instruments ». Dans SPIE Optical Engineering + Applications, sous la direction de James J. Butler, Xiaoxiong (Jack) Xiong et Xingfa Gu. SPIE, 2013. http://dx.doi.org/10.1117/12.2024512.

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« Non-linear multiple regression analysis for predicting seasonal streamflow using large scale climate mode ». Dans 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.l3.esha.

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Rapports d'organisations sur le sujet "Multiple climate"

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Amarnath, G., N. Alahacoon, V. Smakhtin et P. Aggarwal. Mapping multiple climate-related hazards in South Asia. International Water Management Institute (IWMI), 2017. http://dx.doi.org/10.5337/2017.207.

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Phillips, T., G. Bala, P. Gleckler, D. Lobell, A. Mirin, R. Maxwell et D. Rotman. Atmospheric Climate Model Experiments Performed at Multiple Horizontal Resolutions. Office of Scientific and Technical Information (OSTI), décembre 2007. http://dx.doi.org/10.2172/924189.

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Walsh, Margaret, Peter Backlund, Lawrence Buja, Arthur DeGaetano, Rachel Melnick, Linda Prokopy, Eugene Takle, Dennis Todey et Lewis Ziska. Climate Indicators for Agriculture. United States. Department of Agriculture. Climate Change Program Office, juillet 2020. http://dx.doi.org/10.32747/2020.7201760.ch.

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The Climate Indicators for Agriculture report presents 20 indicators of climate change, carefully selected across multiple agricultural production types and food system elements in the United States. Together, they represent an overall view of how climate change is influencing U.S. agriculture and food systems. Individually, they provide useful information to support management decisions for a variety of crop and livestock production systems. The report includes multiple categories of indicators, including physical indicators (e.g., temperature, precipitation), crop and livestock (e.g., animal heat stress), biological indicators (e.g., pests), phenological indicators (e.g. seasonality), and socioeconomic indicators (e.g., total factor productivity).
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Lettenmaier, D. P., K. L. Brettman et L. W. Vail. Robustness of a multiple-use reservoir to seasonal runoff shifts associated with climate change. Office of Scientific and Technical Information (OSTI), mai 1990. http://dx.doi.org/10.2172/6418073.

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Lunsgaarde, Erik, Kevin Adams, Kendra Dupuy, Adis Dzebo, Mikkel Funder, Adam Fejerskov, Zoha Shawoo et Jakob Skovgaard. The politics of climate finance coordination. Stockholm Environment Institute, octobre 2021. http://dx.doi.org/10.51414/sei2021.022.

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As COP26 approaches, governments are facing calls to increase the ambition of their climate commitments under the Paris Agreement. The mobilization of climate finance will be key to meeting these goals, prompting the need for renewed attention on how to enhance the coordination of existing funds and thus increase their effectiveness, efficiency and equity. The climate finance landscape is fragmented due to the variety of actors involved at different levels. Coordination difficulties emerge in multiple arenas and reflect the diversity of funding sources, implementation channels, and sectors relevant for climate action (Lundsgaarde, Dupuy and Persson, 2018). The Organisation for Economic Cooperation and Development has identified over 90 climate-specific funds. Most of them are multilateral. While bilateral climate finance remains significant, growth in multilateral funding has been the main driver of recent funding increases and remains a focus of international negotiations. Practitioners often highlight organizational resource constraints – such as staffing levels, the continuity of personnel, or the availability of adequate information management systems – as factors limiting coordination. In this brief, we argue that improving climate finance coordination requires considering coordination challenges in a political context where both fund secretariats and external stakeholders play an important role in shaping collaboration prospects. To illustrate this point, we highlight the political nature of global-level coordination challenges between the multilateral Climate Investment Funds (CIF) and Green Climate Fund (GCF), as well as national-level challenges in Kenya and Zambia. Key challenges influencing coordination relate to the governance of climate funds, domestic bureaucratic politics in recipient countries, and the existence of multiple coordination frameworks at the country level.
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Price, Roz. Managing Multiple Crises : Lessons from Covid-19. Institute of Development Studies, novembre 2022. http://dx.doi.org/10.19088/cc.2022.006.

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The World is facing numerous, overlapping crises with the war in Ukraine exacerbating a global cost-of-living crisis, coupled with the lingering effects of Covid-19 and ongoing climate change impacts. After nearly three years of dealing with Covid-19, the world economy has been left in a fragile state and the ability of countries and people to deal with multiple, compounding issues has therefore also been eroding (UN, 2022, p. 2). Those that are most marginalised and least able to cope will likely be hit the hardest by these crises. This rapid review does not provide an in-depth discussion of these issues or the proposed solutions needed, but looks to learnings from managing the Covid-19 pandemic, especially where the pandemic overlapped with other crises, as well as the wider disaster risk and crisis management literature to gather insights into how these turbulent times and future crises can be navigated.
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Matthews, Stephen N., Louis Iverson, Matthew Peters et Anantha Prasad. Assessing potential climate change pressures across the conterminous United States. United States Department of Agriculture Forest Service, mars 2018. http://dx.doi.org/10.32747/2018.6941248.ch.

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The maps and tables presented here represent potential variability of projected climate change across the conterminous United States during three 30-year periods in this century and emphasizes the importance of evaluating multiple signals of change across large spatial domains. Maps of growing degree days, plant hardiness zones, heat zones, and cumulative drought severity depict the potential for markedly shifting conditions and highlight regions where changes may be multifaceted across these metrics. In addition to the maps, the potential change in these climate variables are summarized in tables according to the seven regions of the fourth National Climate Assessment to provide additional regional context. Viewing these data collectively further emphasizes the potential for novel climatic space under future projections of climate change and signals the wide disparity in these conditions based on relatively near-term human decisions of curtailing (or not) greenhouse gas emissions.
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Akasha, Heba, Omid Ghaffarpasand et Francis Pope. Climate Change and Air Pollution. Institute of Development Studies (IDS), janvier 2021. http://dx.doi.org/10.19088/k4d.2021.071.

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This rapid literature review explores the interactions between climate change and air pollution, with a focus on human health impacts. In particular, the report explores potential synergies in tackling climate change and air pollution together. The impacts and implications of the transition from a carbon-intensive economy upon air quality and consequently human health are examined. Discussing climate change without air pollution can lead to risks. For example, strategies that focus on electrification and transition to renewable energy achieve maximum health and air quality benefits compared to strategies that focus mainly on combustible renewable fuels (biofuel and biomass) with some electrification. Addressing climate change necessitates a shift towards a new low carbon era. This involves stringent and innovative changes in behaviour, technology, and policy. There are distinct benefits of considering climate change and air pollution together. Many of the processes that cause climate change also cause air pollution, and hence reductions in these processes will generate cleaner air and less global warming. Politically, the consideration of the two issues in tandem can be beneficial because of the time-inconsistency problems of climate change. Air pollution improvements can offer politicians victories, on a useful timescale, to help in their aims of reversing climate change. By coupling air pollution and air pollution agendas together, it will increase the media and political attention both environmental causes receive. Policies should involve the integration of climate change, air quality, and health benefits to create win-win situations. The success of the strategies requires financial and technical capacity building, commitment, transparency, and multidisciplinary collaboration, including governance stakeholders at multiple levels, in both a top-down and bottom-up manner.
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timmons, shane, et pete lunn. Public understanding of climate change and support for mitigation. ESRI, janvier 2022. http://dx.doi.org/10.26504/rs135.

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In this study, a large, representative sample of the Irish population undertook a multiple-choice quiz about climate change. The 10-minute quiz was designed to engage participants and to measure their understanding, not of facts and figures, but of the scientific relationships behind climate change – of what causes what, and how. The study was conducted in mid-October 2021. As well as revealing how well the population understands climate change, the central focus of the study was the relationship between understanding and willingness to act. To investigate this, the study contained an experiment that tested whether exposing people to the answers to the quiz questions altered their attitudes to climate policy and individual behaviour. Half the sample was randomly assigned to see the answers to the quiz questions, while the other half was not.We then measured support for climate mitigation policy (in particular, a carbon tax) and judgements of individual behaviour. In this way, we conducted an experimental test of whether engaging with accurate scientific information about climate change has an impact on willingness to tackle it.
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Pizarro, Rodrigo, Raúl Delgado, Huáscar Eguino et Aloisio Lopes Pereira. Climate Change Public Budget Tagging : Connections across Financial and Environmental Classification Systems. Inter-American Development Bank, janvier 2021. http://dx.doi.org/10.18235/0003021.

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Identifying and evaluating climate expenditures in the public sector, known as budget tagging, has generated increasing attention from multiple stakeholders, not only to assess the governments climate change policy, but also to monitor fiscal risks associated with increasing and unpredictable climate change impacts. This paper explores the issues raised by climate change budget tagging in the context of a broader discussion on the connections with fiscal and environmental statistical classification systems. It argues that, for climate change budget tagging efforts to be successful, the definitions and classifications of climate change expenditures must be consistent with statistical standards currently in use, such as the Government Finance Statistics Framework and the System of National Accounts.
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