Institution
Spanish National Research Council
Government•Madrid, Spain•
About: Spanish National Research Council is a government organization based out in Madrid, Spain. It is known for research contribution in the topics: Population & Galaxy. The organization has 79563 authors who have published 220470 publications receiving 7698991 citations. The organization is also known as: CSIC & Consejo Superior de Investigaciones Científicas.
Topics: Population, Galaxy, Catalysis, Stars, Gene
Papers published on a yearly basis
Papers
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TL;DR: In this article, solid oxide electrolysis cells (SOEC) have attracted a great interest in the last few years, as they offer significant power and higher efficiencies compared to conventional low temperature electrolysers.
786 citations
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TL;DR: In this paper, a precise measurement of the proton flux in primary cosmic rays with rigidity (momentum/charge) from 1.GV to 1.8TV is presented based on 300 million events.
Abstract: A precise measurement of the proton flux in primary cosmic rays with rigidity (momentum/charge) from 1 GV to 1.8 TV is presented based on 300 million events. Knowledge of the rigidity dependence of the proton flux is important in understanding the origin, acceleration, and propagation of cosmic rays. We present the detailed variation with rigidity of the flux spectral index for the first time. The spectral index progressively hardens at high rigidities.
783 citations
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Free University of Berlin1, Max Planck Society2, Goddard Space Flight Center3, Carnegie Institution for Science4, California Institute of Technology5, University of Technology, Sydney6, Spanish National Research Council7, Brown University8, United States Department of Agriculture9, Stockholm University10, University of Valencia11, Institut national de la recherche agronomique12, University of Minnesota13
TL;DR: New space-based observations of chlorophyll fluorescence enable an accurate, global, and time-resolved measurement of crop photosynthesis, which is not possible from any other remote vegetation measurement, and indicates that SIF data can help improve global models for more accurate projections of agricultural productivity and climate impact on crop yields.
Abstract: Photosynthesis is the process by which plants harvest sunlight to produce sugars from carbon dioxide and water. It is the primary source of energy for all life on Earth; hence it is important to understand how this process responds to climate change and human impact. However, model-based estimates of gross primary production (GPP, output from photosynthesis) are highly uncertain, in particular over heavily managed agricultural areas. Recent advances in spectroscopy enable the space-based monitoring of sun-induced chlorophyll fluorescence (SIF) from terrestrial plants. Here we demonstrate that spaceborne SIF retrievals provide a direct measure of the GPP of cropland and grassland ecosystems. Such a strong link with crop photosynthesis is not evident for traditional remotely sensed vegetation indices, nor for more complex carbon cycle models. We use SIF observations to provide a global perspective on agricultural productivity. Our SIF-based crop GPP estimates are 50–75% higher than results from state-of-the-art carbon cycle models over, for example, the US Corn Belt and the Indo-Gangetic Plain, implying that current models severely underestimate the role of management. Our results indicate that SIF data can help us improve our global models for more accurate projections of agricultural productivity and climate impact on crop yields. Extension of our approach to other ecosystems, along with increased observational capabilities for SIF in the near future, holds the prospect of reducing uncertainties in the modeling of the current and future carbon cycle.
782 citations
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TL;DR: In this paper, the authors explored nonlinear transitions in the Arctic feedbacks and their subsequent impacts on the global climate and economy under the Paris Agreement scenarios, and found an important contribution to warming which leads to additional economic losses from climate change.
Abstract: Arctic feedbacks accelerate climate change through carbon releases from thawing permafrost and higher solar absorption from reductions in the surface albedo, following loss of sea ice and land snow. Here, we include dynamic emulators of complex physical models in the integrated assessment model PAGE-ICE to explore nonlinear transitions in the Arctic feedbacks and their subsequent impacts on the global climate and economy under the Paris Agreement scenarios. The permafrost feedback is increasingly positive in warmer climates, while the albedo feedback weakens as the ice and snow melt. Combined, these two factors lead to significant increases in the mean discounted economic effect of climate change: +4.0% ($24.8 trillion) under the 1.5 °C scenario, +5.5% ($33.8 trillion) under the 2 °C scenario, and +4.8% ($66.9 trillion) under mitigation levels consistent with the current national pledges. Considering the nonlinear Arctic feedbacks makes the 1.5 °C target marginally more economically attractive than the 2 °C target, although both are statistically equivalent. Nonlinear transitions in permafrost carbon feedback and surface albedo feedback have largely been excluded from climate policy studies. Here the authors modelled the dynamics of the two nonlinear feedbacks and the associated uncertainty, and found an important contribution to warming which leads to additional economic losses from climate change.
782 citations
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TL;DR: In a long term study, a total of 84 samples from seven WWTP located in the main cities along the Ebro river Basin as well as receiving river waters were analyzed to assess the occurrence of 73 pharmaceuticals covering several medicinal classes, results indicated that pharmaceuticals are widespread pollutants in the aquatic environmental.
781 citations
Authors
Showing all 79686 results
Name | H-index | Papers | Citations |
---|---|---|---|
Guido Kroemer | 236 | 1404 | 246571 |
George Efstathiou | 187 | 637 | 156228 |
Peidong Yang | 183 | 562 | 144351 |
H. S. Chen | 179 | 2401 | 178529 |
David R. Williams | 178 | 2034 | 138789 |
Andrea Bocci | 172 | 2402 | 176461 |
Adrian L. Harris | 170 | 1084 | 120365 |
Gang Chen | 167 | 3372 | 149819 |
Gregory J. Hannon | 165 | 421 | 140456 |
Alvaro Pascual-Leone | 165 | 969 | 98251 |
Jorge E. Cortes | 163 | 2784 | 124154 |
Dongyuan Zhao | 160 | 872 | 106451 |
John B. Goodenough | 151 | 1064 | 113741 |
David D'Enterria | 150 | 1592 | 116210 |
A. Gomes | 150 | 1862 | 113951 |