Relevant bibliographies by topics / Climate impact

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Climate impact'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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Journal articles on the topic "Climate impact"

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Gerstengarbe, Friedrich-Wilhelm, Fred Hattermann, and Peggy Gräfe. "German climate change impact study." Meteorologische Zeitschrift 24, no. 2 (April 13, 2015): 121–22. http://dx.doi.org/10.1127/metz/2015/0666.

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Dr. P. Subramanyachary, Dr P. Subramanyachary, and Dr S. SiddiRaju Dr. S. SiddiRaju. "Climate Chage – Impact of Different Cyclones." Paripex - Indian Journal Of Research 2, no. 1 (January 15, 2012): 59–61. http://dx.doi.org/10.15373/22501991/jan2013/22.

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Mitchell, Jamie A., Philip E. Bett, Helen M. Hanlon, and Andrew Saulter. "Investigating the impact of climate change on the UK wave power climate." Meteorologische Zeitschrift 26, no. 3 (June 14, 2017): 291–306. http://dx.doi.org/10.1127/metz/2016/0757.

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Kumar, Kiran. "Impact of Climate Change on Human Health." Indian Journal of Applied Research 4, no. 1 (October 1, 2011): 309–11. http://dx.doi.org/10.15373/2249555x/jan2014/90.

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Marais, Karen, Stephen P. Lukachko, Mina Jun, Anuja Mahashabde, and Ian A. Waitz. "Assessing the impact of aviation on climate." Meteorologische Zeitschrift 17, no. 2 (April 28, 2008): 157–72. http://dx.doi.org/10.1127/0941-2948/2008/0274.

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Almahdi Ibrahim Basha, Nouraldin. "Impact of Climate Change on Agriculture Productivity." International Journal of Science and Research (IJSR) 12, no. 3 (March 5, 2023): 601–4. http://dx.doi.org/10.21275/sr23216131824.

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Hodson, Hal. "Keystone's climate impact." New Scientist 223, no. 2982 (August 2014): 10. http://dx.doi.org/10.1016/s0262-4079(14)61560-8.

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Wang, Ronald, and Carly Wang. "Climate Change Impact on Health—Modelling Climate Change Impacts use R." OAJRC Environmental Science 3, no. 1 (January 14, 2023): 30–35. http://dx.doi.org/10.26855/oajrces.2022.12.004.

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AM, Penjiyev. "Impact of Renewable Energy Sources on Climate Change." Journal of Energy and Environmental Science 1, no. 1 (November 14, 2023): 1–5. http://dx.doi.org/10.23880/jeesc-16000102.

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Based on the analytical analysis of the eco-energy resource potentials of renewable energy sources and climate change, the potential for mitigation and costs, the strategy of Turkmenistan on climate change, energy demand and the greenhouse effect, options for reducing emissions, a heterogeneous class of renewable technologies (solar, wind, bioenergy, geothermal and hydropower). Research to date suggests that climate change is not expected to significantly affect the global technical potential for wind energy development, but changes in the regional distribution of wind energy resources can be expected. Climate change is not expected to have a significant impact on the amount or geographic distribution of geothermal or ocean and marine energy resources.
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Ingole, Sangita P., and Aruna U. Kakde. "Global Warming and Climate Change: Impact on Biodiversity." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 288–90. http://dx.doi.org/10.15373/22778179/may2013/96.

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Dissertations / Theses on the topic "Climate impact"

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Molloy, Jarlath Michael Patrick. "Mitigating aviation's climate impact in europe." Thesis, Imperial College London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535997.

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Lago, César Ambrogi Ferreira do. "Climate changes impacts on subtropical urban drainage with low impact developments." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18138/tde-19062018-163056/.

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Low impact developments (LID) have been used to mitigate the effects of urbanization on the hydrological cycle. However, there is a lack of studies on LID performance in subtropical climates and under potential impacts of climate change scenarios. This dissertation evaluated the impacts of two climate change scenarios (RCP 4.5 and 8.5) on urban drainage with pollutants and their effect on LID practice efficiency located in a subtropical climate, with Cfa classification according to Köppen and Geiger. First, the inlet quantity and quality parameters were calibrated. The buildup/washoff model was evaluated, comparing load calibration and concentration of pollutants: chemical oxygen demand (COD), total organic carbon (TOC), phosphate (PO4) (NH3), iron (Fe), cadmium (Cd) and zinc (Zn). Pollutant washing was studied in the area of the bioretention catchment using historical rainfall data between 2013 and 2017, analyzing the influence of the buildup/washoff parameters of each pollutant in the input mass. Afterwards, Eta5x5km (INPE) climate change scenarios were disaggregated to 5-minute intervals by the modified Bartlett-Lewis method. The disaggregated series was used to estimate the impacts of climate change on urban drainage into the bioretention. Therefore, a simple model, developed specifically for the study bioretention cell, was used to estimate the qualitative-quantitative efficiencies of each period of the climate change scenarios. According to the data acquired from INPE, climate change will result in a fall in the volume of rainfall in São Carlos, resulting in lower volumes of surface runoff. The impacts on pollutant washing, however, vary according to the buildup/washoff parameters, explained by a sensitivity analysis. Climate change does not affect the bioretention quantitative efficiency very much: 81.7% from 1980 to 1999 to 81.4% and 81.3% from 2080 to 2099 for CPR scenarios 4.5 and 8.5. The pollutant removal efficiencies, as well as the washing, depend on buildup/washoff characteristics. One of the main consequences of climate change is a drop in the runoff quality. However, even with quantitative efficiency being maintained, bioretention is capable of mitigating this increase in the concentration of pollutants in urban drainage. Thus, the LID will help preserve the quality of downstream rivers, whose volumes will already have diminished by the decrease in rainfall volume.
Técnicas compensatórias de drenagem (TC) vêm sido utilizadas para mitigar efeitos da urbanização no ciclo hidrológico. Entretanto faltam estudos sobre a performance destas TCs em clima subtropical e sob potenciais impactos de cenários de mudanças climáticas. Esta dissertação avaliou os impactos de dois cenários de mudanças climáticas (RCP 4.5 e 8.5) sobre o escoamento superficial urbano com poluentes e sua afetação na eficiência da TC localizada em clima subtropical, classificação Cfa segundo Köppen e Geiger. Primeiro se calibrou os parâmetros de quantidade e qualidade do escoamento superficial na entrada da biorretenção. O modelo buildup/washoff foi avaliado, comparando-se calibração da carga e concentração de poluentes: demanda química de oxigênio (DQO), carbono orgânico total (TOC), fosfato (PO4), nitrato (NO3), nitrito (NO2) amônia (NH3), ferro (Fe), cadmio (Cd) e zinco (Zn). Então se estudou a lavagem de poluentes na área de contribuição da biorretenção com histórico de precipitação entre 2013 e 2017 e analisando a influência dos parâmetros buildup/washoff de cada poluente na entrada de massa. Em seguida, cenários de mudanças climáticas Eta-5x5km (INPE) foram desagregados em intervalos de 5 minutos, pelo método de Bartlett-Lewis modificado. A série desagregada foi utilizada para se estimar os impactos das mudanças climáticas na drenagem urbana, a incidir na biorretenção. Então um modelo simples desenvolvido especificamente para a biorretenção em estudo foi usado para se estimar as eficiências quali-quantitativas de cada período dos cenários de mudanças climáticas. Os dados adquiridos do Inpe mostram que as mudanças climáticas resultarão em uma queda no volume de chuvas em São Carlos, resultando em menores volumes de escoamento superficial. Os impactos na lavagem de poluentes, entretanto, variam de acordo com os parâmetros buildup/washoff, explicados por uma análise de sensibilidade. As mudanças climáticas pouco afetam a eficiência quantitativa da biorretenção, 81.7% no período 1980-1999 para 81.4% e 81.3% no período 2080-2099 para cenários RCP 4.5 e 8.5. Já as eficiências de remoção de poluentes, assim como a lavagem destes, dependem das características buildup/washoff de lavagem. Uma das principais consequências observadas das mudanças climáticas é uma queda na qualidade do escoamento. Porém, mesmo com eficiência quantitativa sendo mantida, a biorretenção é capaz de amenizar essa o aumento na concentração de poluentes na drenagem urbana. Assim, a técnica ajudará a preservar a qualidade dos rios à jusante, que já terão seus volumes diminuídos pela queda no volume de chuva.
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Holsten, Anne. "Climate change vulnerability assessments in the regional context." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6683/.

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Adapting sectors to new conditions under climate change requires an understanding of regional vulnerabilities. Conceptually, vulnerability is defined as a function of sensitivity and exposure, which determine climate impacts, and adaptive capacity of a system. Vulnerability assessments for quantifying these components have become a key tool within the climate change field. However, there is a disagreement on how to make the concept operational in studies from a scientific perspective. This conflict leads to many still unsolved challenges, especially regarding the quantification and aggregation of the components and their suitable level of complexity. This thesis therefore aims at advancing the scientific foundation of such studies by translating the concept of vulnerability into a systematic assessment structure. This includes all components and implies that for each considered impact (e.g. flash floods) a clear sensitive entity is defined (e.g. settlements) and related to a direction of change for a specific climatic stimulus (e.g. increasing impact due to increasing days with heavy precipitation). Regarding the challenging aggregation procedure, two alternative methods allowing a cross-sectoral overview are introduced and their advantages and disadvantages discussed. This assessment structure is subsequently exemplified for municipalities of the German state North Rhine-Westphalia via an indicator-based deductive approach using information from literature. It can be transferred also to other regions. As for many relevant sectors, suitable indicators to express the vulnerability components are lacking, new quantification methods are developed and applied in this thesis, for example for the forestry and health sector. A lack of empirical data on relevant thresholds is evident, for example which climatic changes would cause significant impacts. Consequently, the multi-sectoral study could only provide relative measures for each municipality, in relation to the region. To fill this gap, an exemplary sectoral study was carried out on windthrow impacts in forests to provide an absolute quantification of the present and future impact. This is achieved by formulating an empirical relation between the forest characteristics and damage based on data from a past storm event. The resulting measure indicating the sensitivity is then combined with wind conditions. Multi-sectoral vulnerability assessments require considerable resources, which often hinders the implementation. Thus, in a next step, the potential for reducing the complexity is explored. To predict forest fire occurrence, numerous meteorological indices are available, spanning over a range of complexity. Comparing their performance, the single variable relative humidity outperforms complex indicators for most German states in explaining the monthly fire pattern. This is the case albeit it is itself an input factor in most indices. Thus, this meteorological factor alone is well suited to evaluate forest fire danger in many Germany regions and allows a resource-efficient assessment. Similarly, the complexity of methods is assessed regarding the application of the ecohydrological model SWIM to the German region of Brandenburg. The inter-annual soil moisture levels simulated by this model can only poorly be represented by simpler statistical approach using the same input data. However, on a decadal time horizon, the statistical approach shows a good performance and a strong dominance of the soil characteristic field capacity. This points to a possibility to reduce the input factors for predicting long-term averages, but the results are restricted by a lack of empirical data on soil water for validation. The presented assessments of vulnerability and its components have shown that they are still a challenging scientific undertaking. Following the applied terminology, many problems arise when implementing it for regional studies. Advances in addressing shortcomings of previous studies have been made by constructing a new systematic structure for characterizing and aggregating vulnerability components. For this, multiple approaches were presented, but they have specific advantages and disadvantages, which should also be carefully considered in future studies. There is a potential to simplify some methods, but more systematic assessments on this are needed. Overall, this thesis strengthened the use of vulnerability assessments as a tool to support adaptation by enhancing their scientific basis.
Die Anpassung von Sektoren an veränderte klimatische Bedingungen erfordert ein Verständnis von regionalen Vulnerabilitäten. Vulnerabilität ist als Funktion von Sensitivität und Exposition, welche potentielle Auswirkungen des Klimawandels darstellen, und der Anpassungsfähigkeit von Systemen definiert. Vulnerabilitätsstudien, die diese Komponenten quantifizieren, sind zu einem wichtigen Werkzeug in der Klimawissenschaft geworden. Allerdings besteht von der wissenschaftlichen Perspektive aus gesehen Uneinigkeit darüber, wie diese Definition in Studien umgesetzt werden soll. Ausdiesem Konflikt ergeben sich viele Herausforderungen, vor allem bezüglich der Quantifizierung und Aggregierung der einzelnen Komponenten und deren angemessenen Komplexitätsniveaus. Die vorliegende Dissertation hat daher zum Ziel die Anwendbarkeit des Vulnerabilitätskonzepts voranzubringen, indem es in eine systematische Struktur übersetzt wird. Dies beinhaltet alle Komponenten und schlägt für jede Klimaauswirkung (z.B. Sturzfluten) eine Beschreibung des vulnerablen Systems vor (z.B. Siedlungen), welches direkt mit einer bestimmten Richtung eines relevanten klimatischen Stimulus in Verbindung gebracht wird (z.B. stärkere Auswirkungen bei Zunahme der Starkregentage). Bezüglich der herausfordernden Prozedur der Aggregierung werden zwei alternative Methoden, die einen sektorübergreifenden Überblick ermöglichen, vorgestellt und deren Vor- und Nachteile diskutiert. Anschließend wird die entwickelte Struktur einer Vulnerabilitätsstudie mittels eines indikatorbasierten und deduktiven Ansatzes beispielhaft für Gemeinden in Nordrhein-Westfalen in Deutschland angewandt. Eine Übertragbarkeit auf andere Regionen ist dennoch möglich. Die Quantifizierung für die Gemeinden stützt sich dabei auf Informationen aus der Literatur. Da für viele Sektoren keine geeigneten Indikatoren vorhanden waren, werden in dieser Arbeit neue Indikatoren entwickelt und angewandt, beispielsweise für den Forst- oder Gesundheitssektor. Allerdings stellen fehlende empirische Daten bezüglich relevanter Schwellenwerte eine Lücke dar, beispielsweise welche Stärke von Klimaänderungen eine signifikante Auswirkung hervorruft. Dies führt dazu, dass die Studie nur relative Aussagen zum Grad der Vulnerabilität jeder Gemeinde im Vergleich zum Rest des Bundeslandes machen kann. Um diese Lücke zu füllen, wird für den Forstsektor beispielhaft die heutige und zukünftige Sturmwurfgefahr von Wäldern berechnet. Zu diesem Zweck werden die Eigenschaften der Wälder mit empirischen Schadensdaten eines vergangenen Sturmereignisses in Verbindung gebracht. Der sich daraus ergebende Sensitivitätswert wird anschließend mit den Windverhältnissen verknüpft. Sektorübergreifende Vulnerabilitätsstudien erfordern beträchtliche Ressourcen, was oft deren Anwendbarkeit erschwert. In einem nächsten Schritt wird daher das Potential einer Vereinfachung der Komplexität anhand zweier sektoraler Beispiele untersucht. Um das Auftreten von Waldbränden vorherzusagen, stehen zahlreiche meteorologische Indices zur Verfügung, welche eine Spannbreite unterschiedlicher Komplexitäten aufweisen. Bezüglich der Anzahl monatlicher Waldbrände weist die relative Luftfeuchtigkeit für die meisten deutschen Bundesländer eine bessere Vorhersagekraft als komplexere Indices auf. Dies ist er Fall, obgleich sie selbst als Eingangsvariable für die komplexeren Indices verwendet wird. Mit Hilfe dieses einzelnen meteorologischen Faktors kann also die Waldbrandgefahr in deutschen Region ausreichend genau ausgedrückt werden, was die Ressourceneffizienz von Studien erhöht. Die Methodenkomplexität wird auf ähnliche Weise hinsichtlich der Anwendung des ökohydrologischen Modells SWIM für die Region Brandenburg untersucht. Die interannuellen Bodenwasserwerte, welche durch dieses Modell simuliert werden, können nur unzureichend durch ein einfacheres statistisches Modell, welches auf denselben Eingangsdaten aufbaut, abgebildet werden. Innerhalb eines Zeithorizonts von Jahrzehnten, kann der statistische Ansatz jedoch das Bodenwasser zufriedenstellend abbilden und zeigt eine Dominanz der Bodeneigenschaft Feldkapazität. Dies deutet darauf hin, dass die Komplexität im Hinblick auf die Anzahl der Eingangsvariablen für langfristige Berechnungen reduziert werden kann. Allerdings sind die Aussagen durch fehlende beobachtete Bodenwasserwerte zur Validierung beschränkt. Die vorliegenden Studien zur Vulnerabilität und ihren Komponenten haben gezeigt, dass eine Anwendung noch immer wissenschaftlich herausfordernd ist. Folgt man der hier verwendeten Vulnerabilitätsdefinition, treten zahlreiche Probleme bei der Implementierung in regionalen Studien auf. Mit dieser Dissertation wurden Fortschritte bezüglich der aufgezeigten Lücken bisheriger Studien erzielt, indem eine systematische Struktur für die Beschreibung und Aggregierung von Vulnerabilitätskomponenten erarbeitet wurde. Hierfür wurden mehrere Ansätze diskutiert, die jedoch Vor- und Nachteile besitzen. Diese sollten vor der Anwendung von zukünftigen Studien daher ebenfalls sorgfältig abgewogen werden. Darüber hinaus hat sich gezeigt, dass ein Potential besteht einige Ansätze zu vereinfachen, jedoch sind hierfür weitere Untersuchungen nötig. Insgesamt konnte die Dissertation die Anwendung von Vulnerabilitätsstudien als Werkzeug zur Unterstützung von Anpassungsmaßnahmen stärken.
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Najafi, Mohammad Reza. "Climate Change Impact on the Spatio-Temporal Variability of Hydro-Climate Extremes." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1114.

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The rising temperature of the earth due to climate change has shown to alter the variations of hydro-climate variables, including their intensities, frequencies and durations. Extreme events such as floods are, in particular, susceptible to any disturbances in climate cycles. As such it is important to provide policymakers with sufficient knowledge about the probable impacts of climate change on hydrologic extremes and most importantly on floods, which have the highest impacts on the societies. For this reason analysis of hydro-climate extremes is commonly performed using data at each site (or grid cell), however due to the limited number of extreme events, these analyses are not robust. Current methods, such as the regional frequency analysis, which combine data from different locations are incapable of incorporating the spatial structure of the data as well as other explanatory variables, and do not explicitly, assess the uncertainties. In this thesis the spatial hierarchical Bayesian model is proposed for hydro-climate extreme analyses using data recorded at each site or grid. This method combines limited number of data from different locations, estimates the uncertainties in different stages of the hierarchy, incorporates additional explanatory variables (covariates), and can be used to estimate extreme events at un-gaged sites. The first project develops a spatial hierarchical Bayesian method to model the extreme runoffs over two spatial domains in the Columbia River Basin, U.S. The model is also employed to estimate floods with different return levels within time slices of fifteen years in order to detect possible trends in runoff extremes. Continuing on the extreme analysis, the impact of climate change on runoff extremes is investigated over the whole Pacific Northwest (PNW). This study aims to address the question of how the runoff extremes will change in the future compared to the historical time period, investigate the different behaviors of the regional climate models (RCMs) regarding the runoff extremes, and assess the seasonal variations of runoff extremes. Given the increasing number of climate model simulations the goal of the third project is to provide a multi-model ensemble average of hydro-climate extremes and characterize the inherent uncertainties. Outputs from several regional climate models provided by NARCCAP are considered for the analysis in all seasons. Three combination scenarios are defined and compared for multi-modeling of extreme runoffs. The biases of each scenario are calculated and the scenario with the least bias is selected for projecting seasonal runoff extremes. The aim of the fourth project is to quantify and compare the uncertainties regarding global climate models to the ones from the hydrologic model structures in climate change impact studies. Various methods have been proposed to downscale the coarse resolution General Circulation Model (GCM) climatological variables to the fine scale regional variables; however fewer studies have been focused on the selection of GCM predictors. Additionally, the results obtained from one downscaling technique may not be robust and the uncertainties related to the downscaling scheme are not realized. To address these issues, in the fifth study we employed Independent Component Analysis (ICA) for predictor selection which determines spatially independent GCM variables (as discussed in Appendix A). Cross validation of the independent components is employed to find the predictor combination that describes the regional precipitation over the upper Willamette basin with minimum error. These climate variables along with the observed precipitation are used to calibrate three downscaling models: Multi Linear Regression (MLR), Support Vector Machine (SVM) and Adaptive-Network-Based Fuzzy Inference System (ANFIS).
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Islam, Muhammad Saiful. "Modelling the impact of climate change on health." Thesis, University of Westminster, 2014. https://westminsterresearch.westminster.ac.uk/item/8yqvv/modelling-the-impact-of-climate-change-on-health.

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The main objective of this thesis is to develop a robust statistical model by accounting the non-linear relationships between hospital admissions due to lower respiratory (LR) disease and factors of climate and pollution, and their delayed effects on hospital admissions. This study also evaluates whether the model fits can be improved by considering the non-linearity of the data, delayed effect of the significant factors, and thus calculate threshold levels of the significant climate and pollution factors for emergency LR hospital admissions. For the first time three unique administrative datasets were merged: Hospital Episode Statistics, Met office observational data for climate factors, and data from London Air Quality Network. The results of the final GLM, showed that daily temperature, rain, wind speed, sun hours, relative humidity, and PM10 significantly affected the LR emergency hospital admissions. Then, we developed a Distributed lag non-linear model (DLNM) model considering the significant climate and pollution factors. Time and ‘day of the week’ was incorporated as linear terms in the final model. Higher temperatures around ≥270C a quicker effect of 0-2 days lag but lower temperatures (≤00C) had delayed effects of 5-25 days lag. Humidity showed a strong immediate effect (0-3 days) of the low relative humidity at around ≤40% and a moderate effect for higher humidity (≥80%) with lag period of 0-2 days. Higher PM10 around ≥70-μg/m3 has both shorter (0-3 days) and longer lag effects (15-20 days) but the latter one is stronger comparatively. A strong effect of wind speed around ≥25 knots showed longer lag period of 8-15 days. There is a moderate effect for a shorter lag period of 0-3 days for lower wind speed (approximately 2 knots). We also notice a stronger effect of sun hours around ≥14 hours having a longer lag period of 15-20 days and moderate effect between 1-2 hours of 5-12 days lag. Similarly, higher amount of rain (≥30mm) has stronger effects, especially for the shorter lag of 0-2 days and longer lag of 7- 10 days. So far, very little research has been carried out on DLNM model in such research area and setting. This PhD research will contribute to the quantitative assessment of delayed and non-linear lag effects of climate and pollutants for the Greater London region. The methodology could easily be replicated on other disease categories and regions and not limited to LR admissions. The findings may provide useful information for the development and implementation of public health policies to reduce and prevent the impact of climate change on health problems.
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Edwards, Morgan Rae. "Climate impact metrics for energy technology evaluation." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81113.

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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 87-97).
The climate change mitigation potential of energy technologies depends on how their lifecycle greenhouse gas emissions compare to global climate stabilization goals. Current methods for comparing technologies, which assess impacts over an arbitrary, fixed time horizon, do not acknowledge the critical link between technology choices and climate dynamics. In this thesis, I ask how we can use information about the temporal characteristics of greenhouse gases to design new metrics for comparing energy technologies. I propose two new metrics: the Cumulative Climate Impact (CCI) and Instantaneous Climate Impact (ICI). These metrics use limited information about the climate system, such as the year when stabilization occurs, to calculate tradeoffs between greenhouse gases, and hence the technologies that emit these gases. The CCI and ICI represent a middle ground between current metrics and commonly-proposed alternatives, in terms of their level of complexity and information requirements. I apply the CCI and ICI to evaluate the climate change mitigation potential of energy technologies in the transportation sector, with a focus on alternative fuels. I highlight key policy debates about the role of (a) natural gas as a "bridge" to a low carbon energy future and (b) third generation biofuels as a long-term energy solution. New metrics shed light on critical timing-related questions that current metrics gloss over. If natural gas is a bridge fuel, how long is this bridge? If algae biofuels are not commercially viable for the next twenty years, can they still provide a significant climate benefit? I simulate technology decisions using new metrics, and existing metrics like the Global Warming Potential (GWP), identifying the conditions where new metrics improve on existing methods as well as the conditions under which new metrics fail. I show that metrics of intermediate complexity, such as the CCI and ICI, provide a simple, reliable, and policy-relevant approach to technology evaluation and capture key features of the future climate system. I extend these insights to energy technologies in the electricity sector as well as a variety of environmental impact categories.
by Morgan R. Edwards.
S.M.in Technology and Policy
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Berggren, Karolina. "Urban drainage and climate change : impact assessment." Licentiate thesis, Luleå tekniska universitet, Arkitektur och vatten, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-25792.

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According to the Intergovernmental Panel on Climate Change (IPCC, 2007), the global mean temperature has increased by 0,7 °C during the last 100 years and, as a consequence, the hydrological cycle has intensified with, for example, more intense rainfall events. As urban drainage systems have been developed over a long period of time and design criteria are based upon climatic characteristics, these changes will affect the systems and the city accordingly.The overall objective of this thesis is to increase the knowledge about urban drainage in a changing climate. In more detail, the objective is to investigate how climate change may affect urban drainage systems, and also to suggest methods for these investigations.The thesis consists of four papers. The first paper concentrates on the Delta change method for adaptation of rainfall data from climate models for urban hydrology use. The second paper is an impact assessment with urban drainage model simulation of a study area in the south of Sweden. The third paper is also an impact study, from a cause and effect approach, where the whole urban water is included. Finally, the fourth paper contains a strategy and suggestions about tools to use for assessing impacts on urban drainage systems due to climate change. The suggested tools are urban drainage model simulations, Geographical Information Systems (GIS), and risk analysis methods.The Delta change approach is feasible for handling the differences in spatial and temporal resolution between climate model data and the needs for urban drainage model simulations, as the method is relatively simple and the temporal resolution of observed rainfall series is preserved. In the study area with separated storm water system, the model simulations show that the number of surface floods as well as the geographical distribution of the floods increases in the future time periods (2011-2040, 2041-2070, and 2071-2100). Future precipitation will also increase both the flooding frequency and the duration of floods; therefore, the need to handle future situations in urban drainage systems and to have a well-planned strategy to cope with future conditions is evident. The overall impacts on urban drainage systems due to increased precipitation may, for example, be an increased number of basement floods, surface floods, problems with property and road drainage, and also increased amount of infiltration into pipes and combined sewer overflows (CSOs). The knowledge gained from this thesis, and the strategy suggested, can be used as a starting point for impact studies on urban drainage systems. Since most impacts concern several different disciplines and a multifunctional understanding, the studies should also be performed in cooperation with parties concerned.
Godkänd; 2007; 20071010 (karober)
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Hu, Xiaolong. "Impact of climate change on power systems." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/impact-of-climate-change-on-power-systems(2132a62f-afa2-4d91-8381-5ec8643b97b4).html.

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The global mean surface temperature rise was observed in the past century and proved the warming of the earth climate system. Global warming is believed to continue into the next decades due to unprecedented increases in greenhouse gas emissions. As a consequence of global warming, extreme weather scenarios are also expected to occur more frequently. In such a context, it is of vital importance to assess the impacts of climate change on the operational performance of power systems. This thesis investigates the impacts of climate change on the operational performance of power systems. The future climate is simulated based on emission scenarios and is then used as an input to the thermal models of power system components to assess their ratings and ageing, and further the reliability of the system. This research contributes to a number of areas in power system research. In the literature review, the risks that climate change may cause to power systems are identified. The models used for the simulation of future climate are firstly introduced. The weather variables that can be simulated from the models include air temperature, solar radiation, wind speed and direction, soil moisture and soil temperature. Among the models, the one for soil temperature is originally developed in this thesis. Following this, the component thermal models of overhead line, cable and transformer, from different standards are compared and selected. After that, the sensitivity of component ratings to individual weather variables is investigated, as a preliminary study for the later research in this thesis. Then, the impacts of climate change on component ratings (including both static and dynamic rating) are comprehensively and probabilistically assessed. The assessment results indicate the reduction of component ratings due to climate change. The impacts of climate change on system reliability is further examined on the IEEE Reliability Test System. Results demonstrate and quantify the reduction of both component ratings and system reliability, and prove that the dynamic rating can be used to mitigate the reduction. Finally, the preliminary exploration of transformer ageing is carried out and shows an increased ageing rate due to air temperature rises.
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Wi, Sungwook. "Impact of Climate Change on Hydroclimatic Variables." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/265344.

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The conventional approach to the frequency analysis of extreme rainfall is complicated by non-stationarity resulting from climate change. In this study significant trends in extreme rainfall are detected using statistical trend tests (Mann-Kendall test and t-test) for all over the Korean Peninsula. The violation of the stationarity for 1 hour annual maximum series is detected for large part of the area especially for southwestern and northeastern regions. For stations showing non-stationarity, the non-stationary generalized extreme value (GEV) distribution model with a location parameter in the form of linear function of time makes significant improvement in modeling rainfall extremes when compared to the stationary GEV model. The Bartlett-Lewis rainfall model is used to generate annual maximum series for the purpose of generating the Intensity-Duration-Frequency (IDF) curve. Using 100 sets of 50 year synthetic annual maxima, it is found that the observed annual rainfall maximum series are reasonably represented by the model. The observed data is perturbed by change factors to incorporate the climate change scenario from the WRF (Weather Research and Forecasting) regional climate model into IDF estimates. The IDF curves for the future period 2040-2079 show highest estimates for all return periods and rainfall durations. The future IDF estimates show significant difference from the IDF estimates of the historical period (1968-2000). Overall, IDF curves show an increasing tendency over time. A historical and future climate simulation is evaluated over the Colorado River Basin using a 111-year simulation (1969-2079) of the WRF climate change scenario. We find the future projections show statistically significant increases in temperature with larger increases in the northern part of the basin. There are statistically insignificant increases in precipitation, while snowfall shows a statistically significant decrease throughout the period in all but the highest elevations and latitudes. The strongest decrease in snowfall is seen at high elevations in the southern part of the basin and low elevations in the northern part of the basin.
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Nilsson, Annika E. "A Changing Arctic Climate : Science and Policy in the Arctic Climate Impact Assessment." Doctoral thesis, Linköping : Linköping University, Department of Water and Environmental Studies, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8517.

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Books on the topic "Climate impact"

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Council, Arctic, Arctic Climate Impact Assessment, Arctic Monitoring and Assessment Programme., Program for the Conservation of Arctic Flora and Fauna., and International Arctic Science Committee., eds. Arctic climate impact assessment. Cambridge [England]: Cambridge University Press, 2005.

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Clarke, Hazel. The impact of climate change. Nairobi, Kenya: United Nations Environment Programme, 1993.

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Sundaresan, J. Climate change impact on ecosystem. Jodhpur: Scientific Publishers, 2013.

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H, Schatten Kenneth, Arking Albert, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division, eds. Climate impact of solar variability. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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WMO/WHO/UNEP International Symposium on Climate and Human Health (1986 Leningrad). Climate and human health: World Climate Programme applications. [Geneva]: World Meteorological Organization, 1987.

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Assessment, Arctic Climate Impact, Arctic Monitoring and Assessment Programme., Program for the Conservation of Arctic Flora and Fauna., and International Arctic Science Committee., eds. Impacts of a warming Arctic: Arctic Climate Impact Assessment. Cambridge, U.K: Cambridge University Press, 2004.

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William, Kates Robert, Ausubel Jesse, Berberian Mimi, and International Council of Scientific Unions. Scientific Committee on Problems of the Environment., eds. Climate impact assessment: Studies of the interaction of climate and society. Chichester [West Sussex]: Published on behalf of the Scientific Committee on Problems of the Environment of the International Council of Scientific Unions by Wiley, 1985.

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Cumine, P. Climate change and environmental impact assessment. Oxford: Oxford Brookes University, 2000.

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Panneerselvam, Balamurugan, Chaitanya Baliram Pande, Kirubakaran Muniraj, Anand Balasubramanian, and Nagavinothini Ravichandran, eds. Climate Change Impact on Groundwater Resources. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04707-7.

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K, Yamakazi, and Nihon Kishō Gakkai, eds. Aeolian dust experiment on climate impact. Tokyo, Japan: Meteorological Society of Japan, 2005.

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Book chapters on the topic "Climate impact"

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Levasseur, Annie. "Climate Change." In Life Cycle Impact Assessment, 39–50. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9744-3_3.

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Hemming, Debbie, Maureen D. Agnew, Clare M. Goodess, Christos Giannakopoulos, Skander Ben Salem, Marco Bindi, Mohamed Nejmeddine Bradai, et al. "Climate Impact Assessments." In Advances in Global Change Research, 61–104. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5769-1_4.

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Wilson, Elizabeth, and Phill Minas. "Climate and climate change." In Methods of Environmental and Social Impact Assessment, 134–63. 4th edition. | New York : Routledge, 2017. | Series: The natural and built environment series: Routledge, 2017. http://dx.doi.org/10.4324/9781315626932-5.

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Falsarone, Alessia. "Culture and Climate Change." In The Impact Challenge, 81–94. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212225-7.

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Abdul Malak, Dania, Katriona McGlade, Diana Pascual, and Eduard Pla. "Impact Assessment." In Adapting to Climate Change, 13–32. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51680-6_3.

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van den Hurk, Bart. "Impact-Oriented Climate Information Selection." In Springer Climate, 27–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_4.

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AbstractTo support climate adaptation decision-making, a picture of current and upcoming climate and socio-economic conditions is required, including an overview of intervention scenarios and their impact. In order to be actionable, this picture needs to rely on credible, relevant, and legitimate information, which implies the use of tested models and concepts, tailored to the decision context, and with transparent and understandable assumptions on boundary conditions and process representation. These criteria are challenged when the complexity of the problem is large and stakes are high. For many conditions, unforeseeable features and events with potentially large implications affect the problem at hand and contribute to the uncertainty that is not easily quantified, let alone eliminated. We explore storyline development approaches that help in selecting relevant and credible pathways and events that enrich the understanding of the risks and options at stake. We explore two categories of storylines (climate scenario storylines and climate risk storylines) by discussing use cases in which these were developed.
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Eslamian, Saeid, and Saeideh Parvizi. "Engineering Hydrology: Impact on Sustainable Development." In Climate Action, 1–11. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-71063-1_134-1.

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Sausen, Robert, Klaus Gierens, Veronika Eyring, Johannes Hendricks, and Mattia Righi. "Climate Impact of Transport." In Atmospheric Physics, 711–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30183-4_43.

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Abrol, Dharam P. "Impact of Climate Changes." In Asiatic Honeybee Apis cerana, 811–54. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6928-1_19.

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Hawryszkiewycz, Igor Titus. "Impact of Climate Change." In Transforming Organizations in Disruptive Environments, 161–80. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1453-8_10.

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Conference papers on the topic "Climate impact"

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VIDERAS, MARTA, SERGIO G. MELGAR, ANTONIO S. CORDERO, and JOSÉ MANUEL ANDÚJAR MÁRQUEZ. "FUTURE IMPACT OF CLIMATE CHANGE ON BUILDINGS’ ENERGY CONSUMPTION IN SUBTROPICAL CLIMATES." In ENVIRONMENTAL IMPACT 2020. Southampton UK: WIT Press, 2020. http://dx.doi.org/10.2495/eid200121.

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Audefroy, J. F. "Climate change adaptation strategies in Mexico." In ENVIRONMENTAL IMPACT 2016. Southampton UK: WIT Press, 2016. http://dx.doi.org/10.2495/eid160171.

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Guinard, L., S. Parey, H. Cordier, and L. Grammosenis. "Impact of Climate Change on EDF’s Nuclear Facilities: Climate Watch Approach." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16186.

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Abstract According to the Periodic Safety Review Process, the safety level is re-assessed every ten years, considering national and international operational feedback, evolution of knowledge and best available practices. Protection against natural hazards is part of this safety level re-assessment. In the current global change context, climate change impact has to be integrated in external natural hazards estimations, such as climatic hazards or external flooding. EDF has consequently implemented a climate watch approach. Undertaken approximately every 5 years, roughly in line with the publication of the assessment reports of the Intergovernmental Panel on Climate Change (IPCC) and with the update of safety licensing basis during Periodic Safety Reviews, this approach is intended to: - revisit the climatic hazards which present a plausible or certain upward trend, and could lead to an increased reference hazard level, - monitor the reach of target levels which should trigger a thorough analysis (concept of Major Climate Event) to ensure the robustness of the reference hazard level between two periodic reviews. This climate watch approach is developed in partnership with the scientific community and is based on the following activities: - compile and analyze datasets on hazards that are subject to changes with climate change (observed and modelled time series), - develop knowledge of associated climatic phenomena (models, projections). The application of this approach is presented in two steps: - the key implications of the last climate watch exercise carried out in 2015, which identified climatic hazards whose evolution is unfavorable and is plausible or certain for the sites of EDF NPPs: ○ High air and water temperatures (for the “heat wave” hazard) ○ Sea level (for the “external flooding” hazard for coastal or estuary sites) ○ Drought or « low flow » hazard for fluvial sites; - the results obtained for the 900 MW units, for which EDF started the 4th periodic safety review in 2019. Such an approach, which is closely linked to periodic reviews, ensures the robustness of nuclear power plants to the climatic hazards through the consideration of the updated hazard levels.
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BUORO, ALVARO BUENO, EDUARDO CESAR COUTINHO, and DANIEL SPECHT. "EVALUATING POLICY IMPACT OF LARGE WATER RESERVOIRS UNDER CLIMATE CHANGE." In ENVIRONMENTAL IMPACT 2018. Southampton UK: WIT Press, 2018. http://dx.doi.org/10.2495/eid180131.

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Mori, Nobuhito, Ryota Iwashima, Tomohiro Yasuda, Hajime Mase, Tracey Tom, and Yuichiro Oku. "135. IMPACT OF GLOBAL CLIMATE CHANGE ON WAVE CLIMATE." In Coastal Dynamics 2009 - Impacts of Human Activities on Dynamic Coastal Processes. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814282475_0134.

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Šilhánková, Vladimíra. "Typology of Settlements Based on Climate Impact." In 2019 UBT International conference. University for Business and Technology, 2019. http://dx.doi.org/10.33107/ubt-ic.2019.248.

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Variable climate conditions affect the environment both globally and locally, impacting considerably on human settlements. Location in the respective climate zone is therefore an important characteristic that largely determines the development or decline of a settlement unit. The lack of an empirical typology of settlements in terms of climate geography thus appears to be a factor limiting further research of the issue. The present paper sets out to outline the existing approaches to urban typology through the prism of climatic influences and changes. The study draws on available sources, summarizing observational data and examples from a geographical-historical perspective.
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Ali, Hendratta. "CLIMATE CRISIS: PETROLEUM. COMMUNITIES. IMPACT." In GSA Connects 2021 in Portland, Oregon. Geological Society of America, 2021. http://dx.doi.org/10.1130/abs/2021am-367538.

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Ater, P. I., and G. C. Aye. "Economic impact of climate change on Nigerian maize sector: a Ricardian analysis." In ENVIRONMENTAL IMPACT 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/eid120211.

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"Impact of climate change on Japan's fruit industry and adaptation measures." In Climate Change and Food System – Synergies of Adaptation and Mitigation, and Climate Information for Sustainable and Climate-Resilient Agriculture. Food and Fertilizer Technology Center for the Asian and Pacific Region, 2022. http://dx.doi.org/10.56669/nugw2239.

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Drake, Jennifer, Andrea Bradford, and Tim Van Seters. "Performance of Permeable Pavements in Cold Climate Environments." In Low Impact Development International Conference (LID) 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41099(367)117.

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Reports on the topic "Climate impact"

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Waldo, Staffan, Hans Ellefsen, Ola Flaaten, Jónas Hallgrimsson, Cecilia Hammarlund, Øystein Hermansen, John R. Isaksen, et al. Reducing Climate Impact from Fisheries. Nordic Council of Ministers, May 2014. http://dx.doi.org/10.6027/tn2014-533.

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Karali, Nihan, Nina Khanna, and Nihar Shah. Climate Impact of Primary Plastic Production. Office of Scientific and Technical Information (OSTI), April 2024. http://dx.doi.org/10.2172/2336722.

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Karali, Nihan, Nina Khanna, and Nihar Shah. Climate Impact of Primary Plastic Production. Office of Scientific and Technical Information (OSTI), April 2024. http://dx.doi.org/10.2172/2336721.

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Finnsson, Páll Tómas. Optimising the impact of Nordic climate policies. Edited by John Hassler. Nordregio, December 2020. http://dx.doi.org/10.6027/pb2020:7.2001-3876.

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The Nordic countries’ climate policies are relatively ambitious in an international perspective, and the countries have progressively raised their climate targets in recent years. However, when designing national climate policies, it is important to assess not only their effects on territorial emissions but also the degree to which they will affect emissions in other countries. This policy brief provides recommendations on how the Nordic countries can optimise the overall impact of their climate policies.
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Najafi, Mohammad Reza. Climate Change Impact on the Spatio-Temporal Variability of Hydro-Climate Extremes. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1114.

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E., Pramova, Chazarin F., Locatelli B., and Hoppe M. Climate change impact chains in tropical coastal areas. Center for International Forestry Research (CIFOR), 2013. http://dx.doi.org/10.17528/cifor/005179.

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Joyce, Linda A., and Richard Birdsey. The impact of climate change on America's forests. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2000. http://dx.doi.org/10.2737/rmrs-gtr-59.

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Danielle Salcido, Danielle Salcido. How Will Global Climate Change Impact Tropical Communities? Experiment, December 2013. http://dx.doi.org/10.18258/1814.

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Research Institute (IFPRI), International Food Policy. Climate change: Impact on agriculture and costs of adaptation. Washington, DC: International Food Policy Research Institute, 2009. http://dx.doi.org/10.2499/0896295354.

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Pindyck, Robert. Modeling the Impact of Warming in Climate Change Economics. Cambridge, MA: National Bureau of Economic Research, January 2010. http://dx.doi.org/10.3386/w15692.

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