Institution
Potsdam Institute for Climate Impact Research
Facility•Potsdam, Germany•
About: Potsdam Institute for Climate Impact Research is a facility organization based out in Potsdam, Germany. It is known for research contribution in the topics: Climate change & Global warming. The organization has 1519 authors who have published 5098 publications receiving 367023 citations.
Papers published on a yearly basis
Papers
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TL;DR: Heat and freshwater fluxes at the ocean's surface play a key role in forming ocean currents, which in turn have a major effect on climate.
Abstract: Heat and freshwater fluxes at the ocean's surface play a key role in forming ocean currents, which in turn have a major effect on climate.
133 citations
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TL;DR: The authors showed that negative parameter correlations between Q10-values and base respiration rates are statistically expected and not necessarily provide evidence for a higher temperature sensitivity of low quality soil organic matter.
Abstract: . Knorr et al. (2005) concluded that soil organic carbon pools with longer turnover times are more sensitive to temperature. We show that this conclusion is equivocal, largely dependent on their specific selection of data and does not persist when the data set of Katterer et al. (1998) is analysed in a more appropriate way. Further, we analyse how statistical properties of the model parameters may interfere with correlative analyses that relate the Q10 of soil respiration with the basal rate, where the latter is taken as a proxy for soil organic matter quality. We demonstrate that negative parameter correlations between Q10-values and base respiration rates are statistically expected and not necessarily provide evidence for a higher temperature sensitivity of low quality soil organic matter. Consequently, we propose it is premature to conclude that stable soil carbon is more sensitive to temperature than labile carbon.
133 citations
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TL;DR: In this article, a model-based analysis for Northwestern Europe shows that the value of electricity generated from a fleet of advanced turbines is 15% higher than the value from classical turbines.
133 citations
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TL;DR: The range of paleo-based estimates of Earth’s future warming by 2100 CE overlaps with the upper range of climate simulations conducted as part of the Coupled Model Intercomparison Project Phase 5 (CMIP5).
Abstract: Global mean surface temperatures are rising in response to anthropogenic greenhouse gas emissions. The magnitude of this warming at equilibrium for a given radiative forcing—referred to as specific equilibrium climate sensitivity ( S )—is still subject to uncertainties. We estimate global mean temperature variations and S using a 784,000-year-long field reconstruction of sea surface temperatures and a transient paleoclimate model simulation. Our results reveal that S is strongly dependent on the climate background state, with significantly larger values attained during warm phases. Using the Representative Concentration Pathway 8.5 for future greenhouse radiative forcing, we find that the range of paleo-based estimates of Earth’s future warming by 2100 CE overlaps with the upper range of climate simulations conducted as part of the Coupled Model Intercomparison Project Phase 5 (CMIP5). Furthermore, we find that within the 21st century, global mean temperatures will very likely exceed maximum levels reconstructed for the last 784,000 years. On the basis of temperature data from eight glacial cycles, our results provide an independent validation of the magnitude of current CMIP5 warming projections.
132 citations
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Potsdam Institute for Climate Impact Research1, Electric Power Research Institute2, Kyoto University3, National Institute for Environmental Studies4, Netherlands Environmental Assessment Agency5, Utrecht University6, Stanford University7, Pacific Northwest National Laboratory8, International Institute for Applied Systems Analysis9, United States Department of Agriculture10, Central Research Institute of Electric Power Industry11, University of Grenoble12, National Renewable Energy Laboratory13
TL;DR: In this paper, the authors present an overview of results from 11 integrated assessment models that participated in the 33rd study of the Stanford Energy Modeling Forum (EMF-33) on the viability of large-scale deployment of bioenergy for achieving long-run climate goals.
Abstract: We present an overview of results from 11 integrated assessment models (IAMs) that participated in the 33rd study of the Stanford Energy Modeling Forum (EMF-33) on the viability of large-scale deployment of bioenergy for achieving long-run climate goals. The study explores future bioenergy use across models under harmonized scenarios for future climate policies, availability of bioenergy technologies, and constraints on biomass supply. This paper provides a more transparent description of IAMs that span a broad range of assumptions regarding model structures, energy sectors, and bioenergy conversion chains. Without emission constraints, we find vastly different CO2 emission and bioenergy deployment patterns across models due to differences in competition with fossil fuels, the possibility to produce large-scale bio-liquids, and the flexibility of energy systems. Imposing increasingly stringent carbon budgets mostly increases bioenergy use. A diverse set of available bioenergy technology portfolios provides flexibility to allocate bioenergy to supply different final energy as well as remove carbon dioxide from the atmosphere by combining bioenergy with carbon capture and sequestration (BECCS). Sector and regional bioenergy allocation varies dramatically across models mainly due to bioenergy technology availability and costs, final energy patterns, and availability of alternative decarbonization options. Although much bioenergy is used in combination with CCS, BECCS is not necessarily the driver of bioenergy use. We find that the flexibility to use biomass feedstocks in different energy sub-sectors makes large-scale bioenergy deployment a robust strategy in mitigation scenarios that is surprisingly insensitive with respect to reduced technology availability. However, the achievability of stringent carbon budgets and associated carbon prices is sensitive. Constraints on biomass feedstock supply increase the carbon price less significantly than excluding BECCS because carbon removals are still realized and valued. Incremental sensitivity tests find that delayed readiness of bioenergy technologies until 2050 is more important than potentially higher investment costs.
132 citations
Authors
Showing all 1589 results
Name | H-index | Papers | Citations |
---|---|---|---|
Carl Folke | 133 | 360 | 125990 |
Adam Drewnowski | 106 | 486 | 41107 |
Jürgen Kurths | 105 | 1038 | 62179 |
Markus Reichstein | 103 | 386 | 53385 |
Stephen Polasky | 99 | 354 | 59148 |
Sandy P. Harrison | 96 | 329 | 34004 |
Owen B. Toon | 94 | 424 | 32237 |
Stephen Sitch | 94 | 262 | 52236 |
Yong Xu | 88 | 1391 | 39268 |
Dieter Neher | 85 | 424 | 26225 |
Johan Rockström | 85 | 236 | 57842 |
Jonathan A. Foley | 85 | 144 | 70710 |
Robert J. Scholes | 84 | 253 | 37019 |
Christoph Müller | 82 | 457 | 27274 |
Robert J. Nicholls | 79 | 515 | 35729 |