Institution
International Institute for Applied Systems Analysis
Nonprofit•Laxenburg, Austria•
About: International Institute for Applied Systems Analysis is a nonprofit organization based out in Laxenburg, Austria. It is known for research contribution in the topics: Population & Greenhouse gas. The organization has 1369 authors who have published 5075 publications receiving 280467 citations. The organization is also known as: IIASA.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the co-benefit of implementing energy efficiency measures that jointly reduce greenhouse gas emissions and air pollutants, in comparison to applying only air pollution control (end-of-pipe technology), was analyzed.
141 citations
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TL;DR: It is shown that a key to previously unexplained production and leaf area responses lies in the interplay between whole-plant nitrogen allocation and leaf photosynthesis, and a transparent framework for interpreting and linking structural (LAI) and functional (net primary production (NPP) ratio, light-use efficiency, photosynthetic down-regulation) responses to elevated CO2 is provided.
Abstract: Despite the abundance of experimental data, understanding of forest responses to elevated CO2 is limited. Here I show that a key to previously unexplained production and leaf area responses lies in the interplay between whole-plant nitrogen (N) allocation and leaf photosynthesis. A simple tree growth model, controlled by net growth maximization through optimization of leaf area index (LAI) and plant N, is used to analyse CO2 responses in both young, expanding and closed, steady-state canopies. The responses are sensitive to only two independent parameters, the photosynthetic capacity per leaf N (a) and the fine-root N:leaf N ratio. The model explains observed CO2 responses of photosynthesis, production and LAI in four forest free air CO2 enrichment (FACE) experiments. Insensitivity of LAI except at low LAI, increase in light-use efficiency, and photosynthetic down-regulation (as a result of reduced leaf N per area) at elevated CO2 are all explained through the combined effects on a and leaf quantum efficiency. The model bridges the gap between the understanding of leaf-level and plant-level responses and provides a transparent framework for interpreting and linking structural (LAI) and functional (net primary production (NPP):gross primary production (GPP) ratio, light-use efficiency, photosynthetic down-regulation) responses to elevated CO2.
141 citations
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TL;DR: It is described how recent amendments to the GP reflect improved scientific knowledge on pollution, environmental relations, and links between regional air pollution and global climate change.
Abstract: The Convention on Long-Range Transboundary Air Pollution (CLRTAP) under the United Nations Economic Commission for Europe (UNECE) was established in 1979 to control damage to ecosystems and cultural heritage from acid rain, initially in Europe ( 1 ). Extended by eight protocols, most recently the Gothenburg Protocol (GP) signed in 1999, it has been key for developing cross-border air pollution control strategies over the UNECE region, which includes the United States and Canada. We describe how recent amendments to the GP reflect improved scientific knowledge on pollution, environmental relations, and links between regional air pollution and global climate change.
141 citations
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Wageningen University and Research Centre1, Delft University of Technology2, Utrecht University3, Netherlands Environmental Assessment Agency4, City University of New York5, National Renewable Energy Laboratory6, Seoul National University7, International Institute for Applied Systems Analysis8, Ca' Foscari University of Venice9, Central Maine Community College10, Potsdam Institute for Climate Impact Research11, Joint Global Change Research Institute12, University College Cork13, University College London14, Federal University of Rio de Janeiro15, National Institute for Environmental Studies16, Kyoto University17, University of Maryland, College Park18
TL;DR: In this paper, the authors analyse results of 220 studies projecting climate impacts on energy systems globally and at the regional scale, and propose a consistent multi-model assessment framework to support regional-to-global-scale energy planning.
Abstract: Although our knowledge of climate change impacts on energy systems has increased substantially over the past few decades, there remains a lack of comprehensive overview of impacts across spatial scales. Here, we analyse results of 220 studies projecting climate impacts on energy systems globally and at the regional scale. Globally, a potential increase in cooling demand and decrease in heating demand can be anticipated, in contrast to slight decreases in hydropower and thermal energy capacity. Impacts at the regional scale are more mixed and relatively uncertain across regions, but strongest impacts are reported for South Asia and Latin America. Our assessment shows that climate impacts on energy systems at regional and global scales are uncertain due partly to the wide range of methods and non-harmonized datasets used. For a comprehensive assessment of climate impacts on energy, we propose a consistent multi-model assessment framework to support regional-to-global-scale energy planning.
141 citations
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TL;DR: In this paper, the authors present a physically based modeling framework for daily river discharge and water temperature simulations applicable to large river systems on a global scale, which can be used for risk analyses and studying impacts of climate change and other anthropogenic effects on large rivers.
Abstract: Realistic estimates of daily streamflow and water temperature are required for effective management of water resources (e.g. for electricity and drinking water production) and freshwater ecosystems. Although hydrological and process-based water temperature modelling approaches have been successfully applied to small catchments and short time periods, much less work has been done at large spatial and temporal scales. We present a physically based modelling framework for daily river discharge and water temperature simulations applicable to large river systems on a global scale. Model performance was tested globally at 1/2 × 1/2° spatial resolution and a daily time step for the period 1971–2000. We made specific evaluations on large river basins situated in different hydro-climatic zones and characterized by different anthropogenic impacts. Effects of anthropogenic heat discharges on simulated water temperatures were incorporated by using global gridded thermoelectric water use datasets and representing thermal discharges as point sources into the heat advection equation. This resulted in a significant increase in the quality of the water temperature simulations for thermally polluted basins (Rhine, Meuse, Danube and Mississippi). Due to large reservoirs in the Columbia which affect streamflow and thermal regimes, a reservoir routing model was used. This resulted in a significant improvement in the performance of the river discharge and water temperature modelling. Overall, realistic estimates were obtained at daily time step for both river discharge (median normalized BIAS = 0.3; normalized RMSE = 1.2; r = 0.76) and water temperature (median BIAS = −0.3 °C; RMSE = 2.8 °C; r = 0.91) for the entire validation period, with similar performance during warm, dry periods. Simulated water temperatures are sensitive to headwater temperature, depending on resolution and flow velocity. A high sensitivity of water temperature to river discharge (thermal capacity) was found during warm, dry conditions. The modelling approach has potential to be used for risk analyses and studying impacts of climate change and other anthropogenic effects (e.g. thermal pollution, dams and reservoir regulation) on large rivers.
141 citations
Authors
Showing all 1418 results
Name | H-index | Papers | Citations |
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Martin A. Nowak | 148 | 591 | 94394 |
Paul J. Crutzen | 130 | 461 | 80651 |
Andreas Richter | 110 | 769 | 48262 |
David G. Streets | 106 | 364 | 42154 |
Drew Shindell | 102 | 340 | 49481 |
Wei Liu | 102 | 2927 | 65228 |
Jean-Francois Lamarque | 100 | 385 | 55326 |
Frank Dentener | 97 | 220 | 58666 |
James W. Vaupel | 89 | 434 | 34286 |
Keywan Riahi | 87 | 318 | 58030 |
Larry W. Horowitz | 85 | 253 | 28706 |
Robert J. Scholes | 84 | 253 | 37019 |
Mark A. Sutton | 83 | 423 | 30716 |
Brian Walsh | 82 | 233 | 29589 |
Börje Johansson | 82 | 871 | 30985 |