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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University of Helsinki1, Finnish Meteorological Institute2, Paul Scherrer Institute3, National Research Council4, Stockholm University5, Norwegian Meteorological Institute6, National University of Ireland, Galway7, Max Planck Society8, Leibniz Association9, Royal Netherlands Meteorological Institute10, Met Office11, Centre national de la recherche scientifique12, University of Grenoble13, ETH Zurich14, University of Manchester15, University of the Aegean16, Foundation for Research & Technology – Hellas17, Norwegian Institute for Air Research18, Lund University19, University of Aveiro20, International Institute for Applied Systems Analysis21, University of Warsaw22, University of São Paulo23, University of Birmingham24, University of Gothenburg25, North-West University26, University of Copenhagen27, University of East Anglia28, Blaise Pascal University29, University of Lyon30, University of Mainz31, Karlsruhe Institute of Technology32, Peking University33, University of Tartu34, University of Crete35, Hungarian Academy of Sciences36, University of Oslo37, University of Eastern Finland38, The Energy and Resources Institute39, Deutscher Wetterdienst40, University of Leeds41, Hebrew University of Jerusalem42, University of Clermont-Ferrand43, Chalmers University of Technology44
TL;DR: The European Aerosol Cloud Climate and Air Quality Interactions project (EUCAARI) as mentioned in this paper was the first project to study aerosol processes fron nano to global scale and their effects on climate and air quality.
Abstract: In this paper we describe and summarize the main achievements of the European Aerosol Cloud Climate and Air Quality Interactions project (EUCAARI). EUCAARI started on 1 January 2007 and ended on 31 December 2010 leaving a rich legacy including: (a) a comprehensive database with a year of observations of the physical, chemical and optical properties of aerosol particles over Europe, (b) comprehensive aerosol measurements in four developing countries, (c) a database of airborne measurements of aerosols and clouds over Europe during May 2008, (d) comprehensive modeling tools to study aerosol processes fron nano to global scale and their effects on climate and air quality. In addition a new Pan-European aerosol emissions inventory was developed and evaluated, a new cluster spectrometer was built and tested in the field and several new aerosol parameterizations and computations modules for chemical transport and global climate models were developed and evaluated. These achievements and related studies have substantially improved our understanding and reduced the uncertainties of aerosol radiative forcing and air quality-climate interactions. The EUCAARI results can be utilized in European and global environmental policy to assess the aerosol impacts and the corresponding abatement strategies.
360 citations
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International Institute for Applied Systems Analysis1, University of Tennessee2, Potsdam Institute for Climate Impact Research3, Netherlands Environmental Assessment Agency4, Central Maine Community College5, Bocconi University6, World Bank7, National Institute for Environmental Studies8, Utrecht University9, Pacific Northwest National Laboratory10, University of Victoria11, Colorado School of Mines12
TL;DR: In this paper, a multi-model study projects investment needs under countries' nationally determined contributions and in pathways consistent with achieving the 2°C and 1.5°C targets as well as certain SDGs, showing that the pronounced reallocation of the investment portfolio required to transform the energy system will not be initiated by the current suite of countries' Nationally Determined Contributions.
Abstract: Low-carbon investments are necessary for driving the energy system transformation that is called for by both the Paris Agreement and Sustainable Development Goals. Improving understanding of the scale and nature of these investments under diverging technology and policy futures is therefore of great importance to decision makers. Here, using six global modelling frameworks, we show that the pronounced reallocation of the investment portfolio required to transform the energy system will not be initiated by the current suite of countries’ Nationally Determined Contributions. Charting a course toward ‘well below 2 °C’ instead sees low-carbon investments overtaking fossil investments globally by around 2025 or before and growing thereafter. Pursuing the 1.5 °C target demands a marked upscaling in low-carbon capital beyond that of a 2 °C-consistent future. Actions consistent with an energy transformation would increase the costs of achieving the goals of energy access and food security, but reduce the costs of achieving air-quality goals. The scale and nature of energy investments under diverging technology and policy futures is of great importance to decision makers. Here, a multi-model study projects investment needs under countries’ nationally determined contributions and in pathways consistent with achieving the 2 °C and 1.5 °C targets as well as certain SDGs.
358 citations
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TL;DR: The inability of models to capture large decadal water storage trends based on GRACE indicates that model projections of climate and human-induced water storage changes may be underestimated.
Abstract: Assessing reliability of global models is critical because of increasing reliance on these models to address past and projected future climate and human stresses on global water resources. Here, we evaluate model reliability based on a comprehensive comparison of decadal trends (2002-2014) in land water storage from seven global models (WGHM, PCR-GLOBWB, GLDAS NOAH, MOSAIC, VIC, CLM, and CLSM) to trends from three Gravity Recovery and Climate Experiment (GRACE) satellite solutions in 186 river basins (∼60% of global land area). Medians of modeled basin water storage trends greatly underestimate GRACE-derived large decreasing (≤-0.5 km3/y) and increasing (≥0.5 km3/y) trends. Decreasing trends from GRACE are mostly related to human use (irrigation) and climate variations, whereas increasing trends reflect climate variations. For example, in the Amazon, GRACE estimates a large increasing trend of ∼43 km3/y, whereas most models estimate decreasing trends (-71 to 11 km3/y). Land water storage trends, summed over all basins, are positive for GRACE (∼71-82 km3/y) but negative for models (-450 to -12 km3/y), contributing opposing trends to global mean sea level change. Impacts of climate forcing on decadal land water storage trends exceed those of modeled human intervention by about a factor of 2. The model-GRACE comparison highlights potential areas of future model development, particularly simulated water storage. The inability of models to capture large decadal water storage trends based on GRACE indicates that model projections of climate and human-induced water storage changes may be underestimated.
357 citations
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University of Illinois at Urbana–Champaign1, McGill University2, University of California, Berkeley3, University of Maryland, College Park4, Michigan State University5, Princeton University6, Joint Global Change Research Institute7, Columbia University8, Vienna University of Technology9, International Institute for Applied Systems Analysis10, Colorado State University11, FAO Schwarz12, World Bank13
TL;DR: The authors in this paper provide an overview of what the Millennium Ecosystem Assessment (MA) call "indirect and direct drivers" of change in ecosystem services at a global level.
Abstract: This paper provides an overview of what the Millennium Ecosystem Assessment (MA) call "indirect and direct drivers" of change in ecosystem services at a global level. The MA definition of a driver is any natural or human-induced factor that directly or indirectly causes a change in an ecosystem. A direct driver unequivocally influences ecosystem processes. An indirect driver operates more diffusely by altering one or more direct drivers. Global driving forces are categorized as demographic, economic, sociopolitical, cultural and religious, scientific and technological, and physical and biological. Drivers in all categories other than physical and biological are considered indirect. Important direct drivers include changes in climate, plant nutrient use, land conversion, and diseases and invasive species. This paper does not discuss natural drivers such as climate variability, extreme weather events, or volcanic eruptions.
351 citations
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TL;DR: In this article, the authors presented estimates of world regional potentials of the sustainable use of biomass for energy uses through the year 2050, consistent with scenarios of agricultural production and land use developed at the International Institute for Applied Systems Analysis, Austria.
Abstract: Estimates of world regional potentials of the sustainable use of biomass for energy uses through the year 2050 are presented. The estimated potentials are consistent with scenarios of agricultural production and land use developed at the International Institute for Applied Systems Analysis, Austria. They thus avoid inconsistent land use, in particular conflicts between the agricultural and bioenergy land use. As an illustration of the circumstances under which a large part of this potential could be used in practice, a global energy scenario with high economic growth and low greenhouse gas emissions, developed by IIASA and the World Energy Council is summarised. In that scenario, bioenergy supplies 15% of global primary energy by 2050. Our estimation method is transparent and reproducible. A computer program to repeat the calculation of the estimates with possibly changed assumptions is available on request.
351 citations
Authors
Showing all 1418 results
Name | H-index | Papers | Citations |
---|---|---|---|
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 |