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Rabin, Sam S. ; Melton, Joe R. ; Lasslop, Gitta ; Bachelet, Dominique ; Forrest, Matthew ; Hantson, Stijn ; Kaplan, Jed O. ; Li, Fang ; Mangeon, Stephane ; Ward, Daniel S. ; Yue, Chao ; Arora, Vivek ; Hickler, Thomas ; Kloster, Silvia ; Knorr, Wolfgang ; Nieradzik, Lars ; Spessa, Allan ; Folberth, Gerd A. ; Sheehan, Tim ; Voulgarakis, Apostolos ; Kelley, Douglas I. ; Prentice, I. Colin ; Sitch, Stephen ; Harrison, Sandy P. ; Arneth, Almut
The important role of fire in regulating vegetation community composition and contributions to emissions of greenhouse gases and aerosols make it a critical component of dynamic global vegetation models and Earth system models. Over 2 decades of development, a wide variety of model structures and mechanisms have been designed and incorporated into global fire models, which have been linked to different vegetation models. However, there has not yet been a systematic examination of how these different strategies contribute to model performance. Here we describe the structure of the first phase of the Fire Model Intercomparison Project (FireMIP), which for the first time seeks to systematically compare a number of models. By combining a standardized set of input data and model experiments with a rigorous comparison of model outputs to each other and to observations, we will improve the understanding of what drives vegetation fire, how it can best be simulated, and what new or improved observational data could allow better constraints on model behavior. In this paper, we introduce the fire models used in the first phase of FireMIP, the simulation protocols applied, and the benchmarking system used to evaluate the models. We have also created supplementary tables that describe, in thorough mathematical detail, the structure of each model.
The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols
(2016)
Rabin, Sam S. ; Melton, Joe R. ; Lasslop, Gitta ; Bachelet, Dominique ; Forrest, Matthew ; Hantson, Stijn ; Li, Fang ; Mangeon, Stephane ; Yue, Chao ; Arora, Vivek ; Hickler, Thomas ; Kloster, Silvia ; Knorr, Wolfgang ; Nieradzik, Lars ; Spessa, Allan ; Folberth, Gerd A. ; Sheehan, Tim ; Voulgarakis, Apostolos ; Prentice, I. Colin ; Sitch, Stephen ; Kaplan, Jed O. ; Harrison, Sandy P. ; Arneth, Almut
The important role of fire in regulating vegetation community composition and contributions to emissions of greenhouse gases and aerosols make it a critical component of dynamic global vegetation models and Earth system models. Over two decades of development, a wide variety of model structures and mechanisms have been designed and incorporated into global fire models, which have been linked to different vegetation models. However, there has not yet been a systematic examination of how these different strategies contribute to model performance. Here we describe the structure of the first phase of the Fire Model Intercomparison Project (FireMIP), which for the first time seeks to systematically compare a number of models. By combining a standardized set of input data and model experiments with a rigorous comparison of model outputs to each other and to observations, we will improve the understanding of what drives vegetation fire, how it can best be simulated, and what new or improved observational data could allow better constraints on model behavior. Here we introduce the fire models used in the first phase of FireMIP, the simulation protocols applied, and the benchmarking system used to evaluate the models. The works published in this journal are distributed under the Creative Commons Attribution 3.0 License. This license does not affect the Crown copy-right work, which is re-usable under the Open Government Licence (OGL). The Creative Commons Attribution 3.0 License and the OGL are interoperable and do not conflict with, reduce, or limit each other.
Grundmann, Sven Eric ; Trinter, Florian ; Fang, Yong-Kang ; Fehre, Kilian ; Strenger, Nico ; Pier, Andreas ; Kaiser, Leon ; Kircher, Max ; Peng, Liang-You ; Jahnke, Till ; Dörner, Reinhard ; Schöffler, Markus S.
We experimentally investigated the quasifree mechanism (QFM) in one-photon double ionization of He and H2 at 800 eV photon energy and circular polarization with a COLTRIMS reaction microscope. Our work provides new insight into this elusive photoionization mechanism that was predicted by Miron Amusia more than four decades ago. We found the distinct four-fold symmetry in the angular emission pattern of QFM electrons from H2 double ionization that has previously only been observed for He. Furthermore, we provide experimental evidence that the photon momentum is not imparted onto the center of mass in quasifree photoionization, which is in contrast to the situation in single ionization and in double ionization mediated by the shake-off and knock-out mechanisms. This finding is substantiated by numerical results obtained by solving the system’s full-dimensional time-dependent Schrödinger equation beyond the dipole approximation.
Oppelt, Angela ; Kaschek, Daniel ; Huppelschoten, Suzanna ; Sison-Young, Rowena ; Zhang, Fang ; Buck-Wiese, Marie ; Herrmann, Franziska ; Malkusch, Sebastian ; Krüger, Carmen ; Meub, Mara ; Merkt, Benjamin ; Zimmermann, Lea ; Schofield, Amy ; Jones, Robert P. ; Malik, Hassan ; Schilling, Marcel ; Heilemann, Mike ; Water, Bob van de ; Goldring, Christopher E. ; Park, B. Kevin ; Timmer, Jens ; Klingmüller, Ursula
Drug-induced liver injury (DILI) has become a major problem for patients and for clinicians, academics and the pharmaceutical industry. To date, existing hepatotoxicity test systems are only poorly predictive and the underlying mechanisms are still unclear. One of the factors known to amplify hepatotoxicity is the tumor necrosis factor alpha (TNFα), especially due to its synergy with commonly used drugs such as diclofenac. However, the exact mechanism of how diclofenac in combination with TNFα induces liver injury remains elusive. Here, we combined time-resolved immunoblotting and live-cell imaging data of HepG2 cells and primary human hepatocytes (PHH) with dynamic pathway modeling using ordinary differential equations (ODEs) to describe the complex structure of TNFα-induced NFκB signal transduction and integrated the perturbations of the pathway caused by diclofenac. The resulting mathematical model was used to systematically identify parameters affected by diclofenac. These analyses showed that more than one regulatory module of TNFα-induced NFκB signal transduction is affected by diclofenac, suggesting that hepatotoxicity is the integrated consequence of multiple changes in hepatocytes and that multiple factors define toxicity thresholds. Applying our mathematical modeling approach to other DILI-causing compounds representing different putative DILI mechanism classes enabled us to quantify their impact on pathway activation, highlighting the potential of the dynamic pathway model as a quantitative tool for the analysis of DILI compounds.
Hantson, Stijn ; Arneth, Almut ; Harrison, Sandy P. ; Kelley, Douglas I. ; Prentice, I. Colin ; Rabin, Sam S. ; Archibald, Sally ; Mouillot, Florent ; Arnold, Steve R. ; Artaxo, Paulo ; Bachelet, Dominique ; Ciais, Philippe ; Forrest, Matthew ; Friedlingstein, Pierre ; Hickler, Thomas ; Kaplan, Jed O. ; Kloster, Silvia ; Knorr, Wolfgang ; Lasslop, Gitta ; Li, Fang ; Mangeon, Stephane ; Melton, Joe R. ; Meyn, Andrea ; Sitch, Stephen ; Spessa, Allan ; Werf, Guido R. van der ; Voulgarakis, Apostolos ; Yue, Chao
Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model fire regimes, using either well-founded empirical relationships or process-based models with good predictive skill. While a large variety of models exist today, it is still unclear which type of model or degree of complexity is required to model fire adequately at regional to global scales. This is the central question underpinning the creation of the Fire Model Intercomparison Project (FireMIP), an international initiative to compare and evaluate existing global fire models against benchmark data sets for present-day and historical conditions. In this paper we review how fires have been represented in fire-enabled dynamic global vegetation models (DGVMs) and give an overview of the current state of the art in fire-regime modelling. We indicate which challenges still remain in global fire modelling and stress the need for a comprehensive model evaluation and outline what lessons may be learned from FireMIP.
Hantson, Stijn ; Arneth, Almut ; Harrison, Sandy P. ; Kelley, Douglas I. ; Prentice, I. Colin ; Rabin, Sam S. ; Archibald, Sally ; Mouillot, Florent ; Arnold, Steve R. ; Artaxo, Paulo ; Bachelet, Dominique ; Ciais, Philippe ; Forrest, Matthew ; Friedlingstein, Pierre ; Hickler, Thomas ; Kaplan, Jed O. ; Kloster, Silvia ; Knorr, Wolfgang ; Lasslop, Gitta ; Li, Fang ; Mangoen, Stephane ; Melton, Joe R. ; Meyn, Andrea ; Sitch, Stephen ; Spessa, Allan ; Werf, Guido R. van der ; Voulgarakis, Apostolos ; Yue, Chao
Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model fire regimes, either using well-founded empirical relationships or process-based models with good predictive skill. A large variety of models exist today and it is still unclear which type of model or degree of complexity is required to model fire adequately at regional to global scales. This is the central question underpinning the creation of the Fire Model Intercomparison Project - FireMIP, an international project to compare and evaluate existing global fire models against benchmark data sets for present-day and historical conditions. In this paper we summarise the current state-of-the-art in fire regime modelling and model evaluation, and outline what lessons may be learned from FireMIP.
Harrison, Sandy P. ; Villegas-Diaz, Roberto ; Cruz-Silva, Esmeralda ; Gallagher, Daniel ; Kesner, David ; Lincoln, Paul ; Shen, Yicheng ; Sweeney, Luke ; Colombaroli, Daniele ; Ali, Adam ; Barhoumi, Chéïma ; Bergeron, Yves ; Blyakharchuk, Tatiana ; Bobek, Přemysl ; Bradshaw, Richard ; Clear, Jennifer L. ; Czerwiński, Sambor ; Daniau, Anne-Laure ; Dodson, John ; Edwards, Kevin J. ; Edwards, Mary E. ; Feurdean, Angelica ; Foster, David ; Gajewski, Konrad ; Gałka, Mariusz ; Garneau, Michelle ; Giesecke, Thomas ; Gil Romera, Graciela ; Girardin, Martin P. ; Höfer, Dana ; Huang, Kangyou ; Inoue, Jun ; Jamrichová, Eva ; Jasiunas, Nauris ; Jiang, Wenying ; Jiménez-Moreno, Gonzalo ; Karpińska-Kołaczek, Monika ; Kołaczek, Piotr ; Kuosmanen, Niina ; Lamentowicz, Mariusz ; Lavoie, Martin ; Li, Fang ; Li, Jianyong ; Lisitsyna, Olga ; López-Sáez, José Antonio ; Luelmo-Lautenschlaeger, María de los Reyes ; Magnan, Gabriel ; Magyari, Eniko Katalin ; Maksims, Alekss ; Marcisz, Katarzyna ; Marinova, Elena ; Marlon, Jenn ; Mensing, Scott ; Miroslaw-Grabowska, Joanna ; Oswald, Wyatt ; Pérez-Dı́az, Sebastián ; Pérez-Obiol, Ramón ; Piilo, Sanna ; Poska, Anneli ; Qin, Xiaoguang ; Remy, Cécile ; Richard, Pierre J. H. ; Salonen, Sakari ; Sasaki, Naoko ; Schneider, Heike ; Shotyk, William ; Stančikaitė, Migle ; Šteinberga, Dace ; Stivriņš, Normunds ; Takahara, Hikaru ; Tan, Zhihai ; Trasune, Liva ; Umbanhowar, Charles E. ; Väliranta, Minna ; Vassiljev, Jüri ; Xiao, Xiayun ; Xu, Qinghai ; Xu, Xin ; Zawisza, Edyta ; Zhao, Yan ; Zhou, Zheng ; Paillard, Jordan
Sedimentary charcoal records are widely used to reconstruct regional changes in fire regimes through time in the geological past. Existing global compilations are not geographically comprehensive and do not provide consistent metadata for all sites. Furthermore, the age models provided for these records are not harmonised and many are based on older calibrations of the radiocarbon ages. These issues limit the use of existing compilations for research into past fire regimes. Here, we present an expanded database of charcoal records, accompanied by new age models based on recalibration of radiocarbon ages using IntCal20 and Bayesian age-modelling software. We document the structure and contents of the database, the construction of the age models, and the quality control measures applied. We also record the expansion of geographical coverage relative to previous charcoal compilations and the expansion of metadata that can be used to inform analyses. This first version of the Reading Palaeofire Database contains 1676 records (entities) from 1480 sites worldwide. The database (RPDv1b – Harrison et al., 2021) is available at https://doi.org/10.17864/1947.000345.