GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Milton :Taylor & Francis Group,
    Keywords: Climatic changes-Economic aspects. ; Forests and forestry-Economic aspects. ; Agriculture-Economic aspects. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (479 pages)
    Edition: 1st ed.
    ISBN: 9780429695391
    DDC: 621.89
    Language: English
    Note: Cover -- Half Title -- Title -- Copyright -- Contents -- Acknowledgments -- Preface -- PART ONE Overviews -- 1 The Science of Global Change: An Illustrated Overview -- 2 Comprehensive and Market-Based Approaches to Global-Change Polity -- PART TWO Broader Perspectives -- 3 Sustainability and Intergenerational Environmental Rights: Implications for Benefit-Cost Analysis -- 4 Agriculture in a Comprehensive Trace-Gas Strategy -- 5 Climate-Change Damage and the Trace-Gas-Index Issue -- PART THREE Agriculture, Natural Resources, and Global Change -- 6 Agronomic and Economic Impacts of Gradual Global Warming: A Preliminaiy Analysis of Midwestern Crop Farming -- 7 A Sensitivity Analysis of the Implications of Climate Change for World Agriculture -- 8 Government Farm Programs and Climate Change: A First Look -- 9 Modeling Western Irrigated Agriculture and Water Policy: Climate-Change Considerations -- 10 Methodology for Assessing Regional Economic Impacts of and Responses to Climate Change: The MINK Study -- 11 Imbedding Dynamic Responses with Imperfect Information into Static Portraits of the Regional Impact of Climate Change -- 12 Biological Emissions and North-South Politics -- PART FOUR Forestry and Global Change -- 13 Global Change and Forest Resources: Modeling Multiple Forest Resources and Human Interactions -- 14 Climate Change and Forestry in the U.S. Midwest -- 15 The Role of Agriculture in Climate Change: A Preliminary Evaluation of Emission-Control Strategies -- 16 Policy and Research Implications of Recent Carbon-Sequestering Analysis -- PART FIVE International Perspectives of Global Change -- 17 The Enhanced Greenhouse Effect and Australian Agriculture -- 18 Global Warming and Mexican Agriculture: Some Preliminary Results. , 19 The Impact of Expected Climate Changes on Crop Yields: Estimates for Europe, the USSR, and North America Based on Paleoanalogue Scenarios -- 20 Perspectives on Potential Agricultural and Resource Effects of Climate Change in Japan -- PART SIX Review Chapters -- 21 Global Climate Change: Effects on Agriculture -- 22 Evaluating Socioeconomic Assessments of the Effect of Climate Change on Agriculture -- 23 Implications of Global-Change Uncertainties: Agricultural and Natural Resource Policies -- PART SEVEN Data and Research Priorities -- 24 Data Centers and Data Needs: Summary of a Panel Discussion -- 25 Setting Priorities for Global-Change Research in Agriculture -- 26 Research Priorities Related to the Economics of Global Warming -- Index.
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    Keywords: Climatic changes. ; Electronic books.
    Description / Table of Contents: Bringing together many of the world's leading experts, this volume is a comprehensive review of climate change science, impacts, mitigation, adaptation, and policy. This book will be invaluable for graduate students, researchers and policymakers interested in all aspects of climate change and the issues that surround it.
    Type of Medium: Online Resource
    Pages: 1 online resource (458 pages)
    Edition: 1st ed.
    ISBN: 9780511365690
    DDC: 551.6
    Language: English
    Note: Cover -- Half-Title -- Title -- Copyright -- Dedication -- Contents -- Contributors -- Preface -- Part I Climate system science -- Introduction -- 1 The concept of climate sensitivity: history and development -- 1.1 Introduction -- 1.2 History of the climate sensitivity concept (CSC) -- 1.3 Recent developments -- 1.4 Future perspectives -- 1.5 Concluding remarks -- Acknowledgements -- References -- 2 Effect of black carbon on mid-troposphere and surface temperature trends -- 2.1 Introduction -- 2.2 Observed surface and mid-troposphere temperature trends -- 2.3 Modeled trends and the effects of carbonaceous aerosols -- 2.4 Results and discussion -- 2.5 Conclusions -- Acknowledgements -- References -- 3 Evaluating the impacts of carbonaceous aerosols on clouds and climate -- 3.1 Introduction -- 3.2 Model description -- 3.3 Aerosol indirect effect on warm clouds -- 3.3.1 Black carbon aerosol effects on clouds -- 3.3.2 Aerosol effects on convective clouds -- 3.3.3 Regional impacts of aerosols on clouds and climate -- Black carbon aerosol effects on regional climate -- Effects of biomass aerosols over Amazonia -- 3.4 Conclusion -- Acknowledgements -- References -- 4 Probabilistic estimates of climate change: methods, assumptions and examples -- 4.1 Introduction to approaches to estimating future climate change -- 4.2 State-of-the-art climate models -- 4.3 Sensitivity to parameters, parameterizations and models -- 4.4 Statistical estimation using observational constraints -- 4.4.1 Introduction to components of an estimation problem -- 4.4.2 Modeled climate -- Modeled climate response to forcing -- Climate forcing: observations and modeling -- Modeled climate variability -- 4.4.3 Modeled observations -- 4.4.4 Statistical estimation: methods, assumptions and examples -- 4.5 Conclusions -- References. , 5 The potential response of historical terrestrial carbon storage to changes in land use, atmospheric CO2, and climate -- 5.1 Introduction -- 5.2 Methods -- 5.2.1 The model -- 5.2.2 The data -- 5.2.3 Model simulation experiments -- 5.3 Results -- 5.3.1 Net land-atmosphere carbon flux -- 5.3.2 Climate and CO2 fertilization feedbacks -- 5.3.3 Land use emissions -- 5.4 Discussion -- Acknowledgements -- References -- 6 The albedo climate impacts of biomass and carbon plantations compared with the CO2 impact -- 6.1 Introduction -- 6.2 Scenarios and assumptions -- 6.2.1 Scenario development -- 6.2.2 Geographic potential for biomass and carbon plantations -- 6.3 Description of models and further specification of scenario experiments -- 6.3.1 IMAGE-2.2 model and experiment set-up -- 6.3.2 The IMAGE energy model TIMER -- 6.3.3 The IMAGE terrestrial models -- 6.3.4 The three land-use change experiments with IMAGE -- 6.3.5 ECBilt-CLIO model and experiment set-up -- 6.4 Impacts of plantations on CO2, albedo and climate -- 6.4.1 Impacts on CO2 -- 6.4.2 Impacts on albedo -- 6.4.3 Impacts on climate -- 6.5 Discussion and conclusions -- References -- 7 Overshoot pathways to CO2 stabilization in a multi-gas context -- 7.1 Introduction -- 7.2 Future CO2, CH4 and N2O concentrations -- 7.3 Implications for CO2 emissions -- 7.4 Temperature and sea-level implications -- 7.5 Conclusions -- References -- 8 Effects of air pollution control on climate: results from an integrated global system model -- 8.1 Introduction -- 8.2 A chemistry primer -- 8.3 Integrated Global System Model -- 8.4 Numerical experiments -- 8.4.1 Effects on concentrations -- 8.4.2 Effects on ecosystems -- 8.4.3 Economic effects -- 8.4.4 Effects on temperature and sea level -- 8.5 Summary and conclusions -- Acknowledgements -- References -- Part II Impacts and adaptation -- Introduction -- References. , 9 Dynamic forecasts of the sectoral impacts of climate change -- 9.1 Introduction -- 9.2 Climate models -- 9.3 Impact model -- 9.4 Results -- 9.5 Conclusion -- Acknowledgements -- References -- 10 Assessing impacts and responses to global-mean sea-level rise -- 10.1 Introduction -- 10.2 Sea-level rise, impacts and responses -- 10.3 Regional to global assessments -- 10.3.1 Impact analyses -- Coastal flooding -- Coastal wetlands -- 10.3.2 Economic analyses -- Direct cost estimates -- Economy-wide impact estimates -- Adaptation analysis -- 10.4 Sub-national to national assessments -- 10.4.1 National-scale flood risk analysis -- 10.4.2 Sub-national-scale analysis -- 10.5 Discussion/conclusion -- Acknowledgements -- References -- 11 Developments in health models for integrated assessments -- 11.1 Introduction -- 11.2 Projecting the health impacts of climate change -- 11.2.1 Individual disease models -- 11.2.2 Applying a quantitative relationship between socio-economic development and malaria -- 11.2.3 Global Burden of Disease study -- 11.3 Projecting the health benefits of controlling greenhouse gas emissions -- 11.4 Projecting the economic costs of the health impacts of climate change -- 11.5 Health transitions -- 11.5.1 Population health model -- 11.6 Future directions in the development of health impact models -- 11.7 Conclusions -- References -- 12 The impact of climate change on tourism and recreation -- 12.1 Introduction -- 12.2 The importance of climate and weather for tourism and recreation -- 12.2.1 Attitudinal studies -- 12.2.2 Behavioral studies -- 12.3 The impact of climate change on tourism and recreation -- 12.3.1 Qualitative impact studies -- 12.3.2 Impact on the supply of tourism services -- 12.3.3 Impact on climatic attractiveness -- 12.3.4 The impact on demand -- 12.3.5 Impact on global tourism flows -- 12.4 Discussion and conclusion. , Acknowledgements -- References -- 13 Using adaptive capacity to gain access to the decision-intensive ministries -- 13.1 Introduction -- 13.2 The state of knowledge about adaptation in 2004 -- 13.3 Some insights from the economics literature -- 13.4 Opening the doors to the decision-intensive ministries -- 13.5 Concluding remarks -- Acknowledgements -- References -- 14 The impacts of climate change on Africa -- 14.1 Background -- 14.2 The analytical framework -- 14.3 Results -- 14.4 Conclusion -- References -- Part III Mitigation of greenhouse gases -- Introduction -- 15 Bottom-up modeling of energy and greenhouse gas emissions: approaches, results, and challenges to inclusion of end-use technologies -- 15.1 Introduction -- 15.2 Bottom-up assessment structure and models -- 15.3 Accounting models: salient results -- 15.4 Other bottom-up models: costs and carbon emissions projections -- 15.5 Key challenges in the bottom-up modeling approach -- 15.5.1 Conceptual framework: factors, potentials, and transaction costs -- 15.5.2 Empirical evidence of the influence of factors -- Accounting for transaction costs -- Accounting for technological change -- Inclusion of non-energy benefits -- Aggregation over time, regions, sectors, and consumers -- 15.6 Summary -- References -- 16 Technology in an integrated assessment model: the potential regional deployment of carbon capture and storage in the context of global CO2 stabilization -- 16.1 Introduction -- 16.2 A regionally disaggregated CO2 storage potential -- 16.3 Analysis cases -- 16.4 Modeling tools -- 16.5 The reference scenario -- 16.6 Carbon dioxide concentrations and the global value of carbon -- 16.7 The regional marginal cost of storage -- 16.8 The regional pattern of cumulative CO2 storage over the twenty-first century -- 16.9 Technology choice and regional storage -- 16.10 The economic value of CCS. , 16.11 Final remarks -- Acknowledgements -- References -- 17 Hydrogen for light-duty vehicles: opportunities and barriers in the United States -- 17.1 Underlying energy policy issues -- 17.2 Hydrogen: an emerging energy carrier? -- 17.3 Hydrogen for light duty vehicles: the opportunity -- 17.3.1 Unit carbon dioxide releases of hydrogen production technologies -- 17.3.2 Unit costs of hydrogen production technologies -- 17.3.3 Three scenarios of vehicle technology adoption -- Light duty vehicles in the three scenarios -- Fuel use by light duty vehicles in the three scenarios -- Carbon dioxide emissions by light duty vehicles in the three scenarios -- 17.4 Hydrogen for light duty vehicles: the barriers -- 17.4.1 Demand-side technology barriers in vehicles -- 17.4.2 Supply-side technology barriers -- 17.4.3 Fueling cost barriers hydrogen to production -- 17.4.4 Fueling cost barriers: hydrogen retailing/other infrastructure -- 17.4.5 Resource limitations -- Natural gas supply and demand -- Resources for geological storage -- Land for biomass -- Coal industry expansion -- 17.4.6 Other barriers to consumer adoption -- 17.4.7 Competitive technologies -- 17.5 In summary -- Acknowledgements -- References -- 18 The role of expectations in modeling costs of climate change policies -- 18.1 Introduction -- 18.2 Modeling with perfect foresight -- 18.2.1 Basic structure of the multi-region national model -- 18.2.2 Data -- 18.2.3 Benchmarking -- 18.2.4 Sectoral disaggregation -- 18.2.5 Time horizon -- 18.2.6 Policy instruments -- 18.2.7 Representation of production and consumption decisions -- 18.2.8 Representation of international trade -- 18.2.9 MRN's personal automobile use component -- 18.2.10 Tax instruments -- 18.2.11 Welfare measurement -- 18.3 Defining policy scenarios for the long term -- 18.3.1 Background. , 18.3.2 Three alternative extensions of the McCain-Lieberman Phase I cap.
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Environmental and resource economics 3 (1993), S. 41-61 
    ISSN: 1573-1502
    Keywords: Climate change ; environmental policy ; dynamic control ; stock pollutant ; greenhouses gases
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Economics
    Notes: Abstract Efficient policies to control trace gas emissions require estimation of an appropriate “exchange rate” among these gases; i.e. the relative value of reducing emissions of each gas. A dynamic stock pollutant model is developed that considers damages associated with both non-climatic and climatic effects of the gases, differing atmospheric lifetimes of the gases, the discount rate, and non-linear damages. The index value and shadow value of control are estimated for carbon dioxide, carbon monoxide, methane, nitrous oxide and the 4 major chlorofluorocarbons (CFCs). The value of control for short-lived relative to long-lives gases is lower for low discount rates and quadratic compared with linear damages. The relative value of control for all gases falls relative to carbon dioxide if one considers the direct beneficial effects of carbon dioxide on agriculture. The general approach developed in the paper may have application for other environmental problems where multiple substances pose individual risks but also jointly contribute to a single risk.
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2007. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Comptes Rendus Geosciences 339 (2007): 784-798, doi:10.1016/j.crte.2007.08.008.
    Description: In this review article, we explore how surface-level ozone affects trees and crops with special emphasis on consequences for productivity and carbon sequestration. Vegetation exposure to ozone reduces photosynthesis, growth, and other plant functions. Ozone formation in the atmosphere is a product of NOx that are also a source of nitrogen deposition. Reduced carbon sequestration of temperate forests resulting from ozone is likely offset by increased carbon sequestration from nitrogen fertilization. However, since fertilized croplands are generally not nitrogen-limited, capping ozone-polluting substances in the U.S., Europe, and China can reduce future crop yield loss substantially.
    Description: This study was funded by the Biocomplexity Program of the U.S. National Science Foundation (ATM-0120468), the Methods and Models for Integrated Assessment Program of the U.S. National Science Foundation (DEB-9711626) and the Earth Observing System Program of the U.S. National Aeronautics and Space Administration (NAG5-10135).
    Keywords: Ozone ; Nitrogen deposition ; Vegetation ; Photosynthesis ; Stomatal conductance ; Crop yield ; Carbon storage
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This is the author's version of the work and is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Current Opinion in Environmental Sustainability 33 (2018): 104-113, doi:10.1016/j.cosust.2018.04.003.
    Description: Increased natural and anthropogenic stresses have threatened the Earth’s ability to meet growing human demands of food, energy and water (FEW) in a sustainable way. Although much progress has been made in the provision of individual component of FEW, it remains unknown whether there is an optimized strategy to balance the FEW nexus as a whole, reduce air and water pollution, and mitigate climate change on national and global scales. Increasing FEW conflicts in the agroecosystems make it an urgent need to improve our understanding and quantification of how to balance resource investment and enhance resource use efficiencies in the FEW nexus. Therefore, we propose an integrated modeling system of the FEW nexus by coupling an ecosystem model, an economic model, and a regional climate model, aiming to mimic the interactions and feedbacks within the ecosystem-human-climate systems. The trade-offs between FEW benefit and economic cost in excess resource usage, environmental degradation, and climate consequences will be quantitatively assessed, which will serve as sustainability indicators for agricultural systems (including crop production, livestock and aquaculture). We anticipate that the development and implementation of such an integrated modeling platform across world’s regions could build capabilities in understanding the agriculture-centered FEW nexus and guiding policy and land management decision making for a sustainable future.
    Description: This study has been supported by National Key R & D Program of China (no. 2017YFA0604702), CAS STS Program (KFJ-STS-ZDTP-010-05), SKLURE Grant (SKLURE2017-1-6), National Science Foundation (1210360, 1243232), NOAA Grants (NA16NOS4780207, NA16NOS4780204), and AU-OUC Joint Center Program.
    Description: 2020-05-28
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2022-05-25
    Description: Author Posting. © American Meteorological Society, 2009. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 22 (2009): 5175–5204, doi:10.1175/2009JCLI2863.1.
    Description: The Massachusetts Institute of Technology (MIT) Integrated Global System Model is used to make probabilistic projections of climate change from 1861 to 2100. Since the model’s first projections were published in 2003, substantial improvements have been made to the model, and improved estimates of the probability distributions of uncertain input parameters have become available. The new projections are considerably warmer than the 2003 projections; for example, the median surface warming in 2091–2100 is 5.1°C compared to 2.4°C in the earlier study. Many changes contribute to the stronger warming; among the more important ones are taking into account the cooling in the second half of the twentieth century due to volcanic eruptions for input parameter estimation and a more sophisticated method for projecting gross domestic product (GDP) growth, which eliminated many low-emission scenarios. However, if recently published data, suggesting stronger twentieth-century ocean warming, are used to determine the input climate parameters, the median projected warming at the end of the twenty-first century is only 4.1°C. Nevertheless, all ensembles of the simulations discussed here produce a much smaller probability of warming less than 2.4°C than implied by the lower bound of the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) projected likely range for the A1FI scenario, which has forcing very similar to the median projection in this study. The probability distribution for the surface warming produced by this analysis is more symmetric than the distribution assumed by the IPCC because of a different feedback between the climate and the carbon cycle, resulting from the inclusion in this model of the carbon–nitrogen interaction in the terrestrial ecosystem.
    Description: This work was supported in part by the Office of Science (BER), U.S. Department of Energy Grants DE-FG02-94ER61937 and DE-FG02-93ER61677, and by the industrial and foundations sponsors of The MIT Joint Program on the Science and Policy of Global Change (http://globalchange.mit.edu/sponsors/ current.html).
    Keywords: Probability forecasts/models ; Climate prediction ; Anthropogenic effects ; Numerical analysis/modeling ; Feedback
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2022-05-25
    Description: © IOP Publishing, 2012. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Environmental Research Letters 7 (2012): 044020, doi:10.1088/1748-9326/7/4/044020.
    Description: Chemical nitrogen (N) fertilizer has long been used to help meet the increasing food demands in China, the top N fertilizer consumer in the world. Growing concerns have been raised on the impacts of N fertilizer uses on food security and climate change, which is lack of quantification. Here we use a carbon–nitrogen (C–N) coupled ecosystem model, to quantify the food benefit and climate consequence of agronomic N addition in China over the six decades from 1949 to 2008. Results show that N fertilizer-induced crop yield and soil C sequestration had reached their peaks, while nitrous oxide (N2O) emission continued rising as N was added. Since the early 2000s, stimulation of excessive N fertilizer uses to global climate warming through N2O emission was estimated to outweigh their climate benefit in increasing CO2 uptake. The net warming effect of N fertilizer uses, mainly centered in the North China Plain and the middle and lower reaches of Yangtze River Basin, with N2O emission completely counteracting or even exceeding, by more than a factor of 2, the CO2 sink. If we reduced the current N fertilizer level by 60% in 'over-fertilized' areas, N2O emission would substantially decrease without significantly influencing crop yield and soil C sequestration.
    Description: This study has been supported by NASA IDS Program (NNG04GM39C), NASA LCLUC Program (NNX08AL73G), and the National Basic Research Program of China (2010CB950900) and (2010CB950604).
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2022-05-25
    Description: © The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Environmental Research Letters 9 (2014): 035004, doi:10.1088/1748-9326/9/3/035004.
    Description: Climate change will alter ecosystem metabolism and may lead to a redistribution of vegetation and changes in fire regimes in Northern Eurasia over the 21st century. Land management decisions will interact with these climate-driven changes to reshape the region's landscape. Here we present an assessment of the potential consequences of climate change on land use and associated land carbon sink activity for Northern Eurasia in the context of climate-induced vegetation shifts. Under a 'business-as-usual' scenario, climate-induced vegetation shifts allow expansion of areas devoted to food crop production (15%) and pastures (39%) over the 21st century. Under a climate stabilization scenario, climate-induced vegetation shifts permit expansion of areas devoted to cellulosic biofuel production (25%) and pastures (21%), but reduce the expansion of areas devoted to food crop production by 10%. In both climate scenarios, vegetation shifts further reduce the areas devoted to timber production by 6–8% over this same time period. Fire associated with climate-induced vegetation shifts causes the region to become more of a carbon source than if no vegetation shifts occur. Consideration of the interactions between climate-induced vegetation shifts and human activities through a modeling framework has provided clues to how humans may be able to adapt to a changing world and identified the trade-offs, including unintended consequences, associated with proposed climate/energy policies.
    Description: This research was supported by the NASA Land Cover and Land Use Change program (NASANNX09A126G).
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2007. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Energy Policy 35 (2007): 5370-5383, doi:10.1016/j.enpol.2006.01.040.
    Description: Multiple environmental changes will have consequences for global vegetation. To the extent that crop yields and pasture and forest productivity are affected there can be important economic consequences. We examine the combined effects of changes in climate, increases in carbon dioxide, and changes in tropospheric ozone on crop, pasture, and forest lands and the consequences for the global and regional economies. We examine scenarios where there is limited or little effort to control these substances, and policy scenarios that limit emissions of CO2 and ozone precursors. We find the effects of climate and CO2 to be generally positive, and the effects of ozone to be very detrimental. Unless ozone is strongly controlled damage could offset CO2 and climate benefits. We find that resource allocation among sectors in the economy, and trade among countries, can strongly affect the estimate of economic effect in a country.
    Description: This research was supported by the US Department of Energy, US Environmental Protection Agency, US National Science Foundation, US National Aeronautics and Space Administration, US National Oceanographic and Atmospheric Administration; and the Industry and Foundation Sponsors of the MIT Joint Program on the Science and Policy of Global Change
    Keywords: Climate change ; Ozone damage ; Vegetation ; Agriculture ; Economics
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2022-05-25
    Description: Author Posting. © American Meteorological Society, 2010. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 23 (2010): 2230–2231, doi:10.1175/2009JCLI3566.1.
    Description: Corrigendum: Sokolov, A., and Coauthors, 2009: Probabilistic forecast for twenty-first-century climate based on uncertainties in emissions (without policy) and climate parameters. J. Climate, 22, 5175–5204.
    Keywords: Probability forecasts/models ; Climate prediction ; Anthropogenic effects ; Numerical analysis/modeling ; Feedback
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...