ALBERT

Description: We analyze the publicly released outputs of the simulations performed by climate models (CMs) in preindustrial (PI) and Special Report on Emissions Scenarios A1B (SRESA1B) conditions. In the PI simulations, most CMs feature biases of the order of 1 W m−2 for the net global and the net atmospheric, oceanic, and land energy balances. This does not result from transient effects but depends on the imperfect closure of the energy cycle in the fluid components and on inconsistencies over land. Thus, the planetary emission temperature is underestimated, which may explain the CMs' cold bias. In the PI scenario, CMs agree on the meridional atmospheric enthalpy transport's peak location (around 40°N/S), while discrepancies of ∼20% exist on the intensity. Disagreements on the oceanic transport peaks' location and intensity amount to ∼10° and ∼50%, respectively. In the SRESA1B runs, the atmospheric transport's peak shifts poleward, and its intensity increases up to ∼10% in both hemispheres. In most CMs, the Northern Hemispheric oceanic transport decreases, and the peaks shift equatorward in both hemispheres. The Bjerknes compensation mechanism is active both on climatological and interannual time scales. The total meridional transport peaks around 35° in both hemispheres and scenarios, whereas disagreements on the intensity reach ∼20%. With increased CO2 concentration, the total transport increases up to ∼10%, thus contributing to polar amplification of global warming. Advances are needed for achieving a self-consistent representation of climate as a nonequilibrium thermodynamical system. This is crucial for improving the CMs' skill in representing past and future climate changes.

Description: Abstract The atmospheric meridional energy transport in the Northern Hemisphere midlatitudes is mainly accomplished by planetary and synoptic waves. A decomposition into wave components highlights the strong seasonal dependence of the transport, with both the total transport and the contributions from planetary and synoptic waves peaking in winter. In both winter and summer months, poleward transport extremes primarily result from a constructive interference between planetary and synoptic motions. The contribution of the mean meridional circulation is close to climatology. Equatorward transport extremes feature a mean meridional equatorward transport in winter, while the planetary and synoptic modes mostly transport energy poleward. In summer, a systematic destructive interference occurs, with planetary modes mostly transporting energy equatorward and synoptic modes again poleward. This underscores that baroclinic conversion dominates regardless of season in the synoptic wave modes, whereas the planetary waves can be either free or forced, depending on the season.

Description: Antitumor immunity driven by intratumoral dendritic cells contributes to the efficacy of anthracycline-based chemotherapy in cancer. We identified a loss-of-function allele of the gene coding for formyl peptide receptor 1 (FPR1) that was associated with poor metastasis-free and overall survival in breast and colorectal cancer patients receiving adjuvant chemotherapy. The therapeutic effects of anthracyclines were abrogated in tumor-bearing Fpr1(-/-) mice due to impaired antitumor immunity. Fpr1-deficient dendritic cells failed to approach dying cancer cells and, as a result, could not elicit antitumor T cell immunity. Experiments performed in a microfluidic device confirmed that FPR1 and its ligand, annexin-1, promoted stable interactions between dying cancer cells and human or murine leukocytes. Altogether, these results highlight the importance of FPR1 in chemotherapy-induced anticancer immune responses.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Vacchelli, Erika -- Ma, Yuting -- Baracco, Elisa E -- Sistigu, Antonella -- Enot, David P -- Pietrocola, Federico -- Yang, Heng -- Adjemian, Sandy -- Chaba, Kariman -- Semeraro, Michaela -- Signore, Michele -- De Ninno, Adele -- Lucarini, Valeria -- Peschiaroli, Francesca -- Businaro, Luca -- Gerardino, Annamaria -- Manic, Gwenola -- Ulas, Thomas -- Gunther, Patrick -- Schultze, Joachim L -- Kepp, Oliver -- Stoll, Gautier -- Lefebvre, Celine -- Mulot, Claire -- Castoldi, Francesca -- Rusakiewicz, Sylvie -- Ladoire, Sylvain -- Apetoh, Lionel -- Bravo-San Pedro, Jose Manuel -- Lucattelli, Monica -- Delarasse, Cecile -- Boige, Valerie -- Ducreux, Michel -- Delaloge, Suzette -- Borg, Christophe -- Andre, Fabrice -- Schiavoni, Giovanna -- Vitale, Ilio -- Laurent-Puig, Pierre -- Mattei, Fabrizio -- Zitvogel, Laurence -- Kroemer, Guido -- New York, N.Y. -- Science. 2015 Nov 20;350(6263):972-8. doi: 10.1126/science.aad0779. Epub 2015 Oct 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1138, Paris, France. Equipe 11 Labellisee par la Ligue Nationale Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France. Universite Paris Descartes, Sorbonne Paris Cite, Paris, France. Universite Pierre et Marie Curie, Paris, France. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1138, Paris, France. Equipe 11 Labellisee par la Ligue Nationale Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France. Universite Paris Descartes, Sorbonne Paris Cite, Paris, France. Universite Pierre et Marie Curie, Paris, France. Suzhou Institute of Systems Medicine, Suzhou, Jiangsu, China. Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1138, Paris, France. Equipe 11 Labellisee par la Ligue Nationale Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France. Faculte de Medecine, Universite Paris-Saclay, Kremlin-Bicetre, France. ; Regina Elena National Cancer Institute, Rome, Italy. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1138, Paris, France. Equipe 11 Labellisee par la Ligue Nationale Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France. Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, Villejuif, France. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1138, Paris, France. Equipe 11 Labellisee par la Ligue Nationale Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1138, Paris, France. Equipe 11 Labellisee par la Ligue Nationale Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France. Universite Paris Descartes, Sorbonne Paris Cite, Paris, France. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1015, Villejuif, France. Center of Clinical Investigations in Biotherapies of Cancer (CICBT) 507, Villejuif, France. ; Department of Hematology, Oncology, and Molecular Medicine, Istituto Superiore di Sanita, Rome, Italy. ; Italian National Research Council, Institute for Photonics and Nanotechnology, Rome, Italy. ; Genomics and Immunoregulation, Life and Medical Science Center Institute, University of Bonn, Germany. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U981, Villejuif, France. ; Universite Paris Sorbonne Cite, UMRS 775, INSERM, Paris, France. INSERM U1147, Centre de Ressources Biologiques (CRB) EPIGENETIC, Paris, France. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1138, Paris, France. Equipe 11 Labellisee par la Ligue Nationale Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France. Faculte de Medecine, Universite Paris-Saclay, Kremlin-Bicetre, France. Sotio, Prague, Czech Republic. ; Department of Medical Oncology, Centre Georges-Francois Leclerc, Dijon, France. Universite Bourgogne Franche-Comte, Dijon, France. Centre Georges Francois Leclerc, Dijon, France. ; Department of Life Sciences, University of Siena, Siena, Italy. ; Institut du Cerveau et de la Moelle Epiniere, ICM CNRS UMR 7225 - INSERM U 1127 - UPMC-P6 UMR S 1127, Equipe Neurogenetique et Physiologie Hopital de la Pitie-Salpetriere, 47, Boulevard de l'Hopital, 75013 Paris, France. ; INSERM U1147, Centre de Ressources Biologiques (CRB) EPIGENETIC, Paris, France. Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif Cedex, France. ; Faculte de Medecine, Universite Paris-Saclay, Kremlin-Bicetre, France. Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif Cedex, France. ; INSERM, U981, Villejuif, France. Department of Breast Oncology, Gustave Roussy Cancer Campus, Villejuif, France. ; University of Franche-Comte, INSERM 1098, France. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U981, Villejuif, France. Department of Biology and Pathology, Gustave Roussy Cancer Campus, Villejuif, France. Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France. ; Regina Elena National Cancer Institute, Rome, Italy. Department of Biology, University of Rome "Tor Vergata," Rome, Italy. ; Universite Paris Sorbonne Cite, UMRS 775, INSERM, Paris, France. INSERM U1147, Centre de Ressources Biologiques (CRB) EPIGENETIC, Paris, France. Pole de Biologie, Hopital Europeen Georges Pompidou, AP-HP, Paris, France. ; Gustave Roussy Cancer Campus, Villejuif, France. Faculte de Medecine, Universite Paris-Saclay, Kremlin-Bicetre, France. INSERM, U1015, Villejuif, France. Center of Clinical Investigations in Biotherapies of Cancer (CICBT) 507, Villejuif, France. kroemer@orange.fr laurence.zitvogel@gustaveroussy.fr. ; Gustave Roussy Cancer Campus, Villejuif, France. INSERM, U1138, Paris, France. Equipe 11 Labellisee par la Ligue Nationale Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France. Universite Paris Descartes, Sorbonne Paris Cite, Paris, France. Universite Pierre et Marie Curie, Paris, France. Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, Villejuif, France. Pole de Biologie, Hopital Europeen Georges Pompidou, AP-HP, Paris, France. Karolinska Institute, Department of Women's and Children's Health, Karolinska University Hospital, 17176 Stockholm, Sweden. kroemer@orange.fr laurence.zitvogel@gustaveroussy.fr.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26516201" target="_blank"〉PubMed〈/a〉

Description: Constructing efficient and accurate parameterizations of sub-grid scale processes is a central area of interest in the numerical modelling of geophysical fluids. Using a modified version of the two-level Lorenz ’96 model, we present here a proof of concept of a scale-adaptive parameterization constructed using statistical mechanical arguments. By a suitable use of the Ruelle response theory and of the Mori-Zwanzig projection method, it is possible to derive explicitly a parameterization for the fast variables that translates into deterministic, stochastic and non-markovian contributions to the equations of motion of the variables of interest. We show that our approach is computationally parsimonious, has great flexibility, as it is explicitly scale-adaptive, and we prove that it is competitive compared to empirical ad-hoc approaches. While the parameterization proposed here is universal and can be easily analytically adapted to changes in the parameters’ values by a simple rescaling procedure, the parameterization constructed with the ad-hoc approach needs to be recomputed each time the parameters of the systems are changed. The price of the higher flexibility of the method proposed here is having a lower accuracy in each individual case.

Description: An aquaplanet model is used to study the nature of the highly persistent low-frequency waves that have been observed in models forced by zonally symmetric boundary conditions. Using the Hayashi spectral analysis of the extratropical waves, the authors find that a quasi-stationary wave 5 belongs to a wave packet obeying a well-defined dispersion relation with eastward group velocity. The components of the dispersion relation with k ≥ 5 baroclinically convert eddy available potential energy into eddy kinetic energy, whereas those with k 〈 5 are baroclinically neutral. In agreement with Green’s model of baroclinic instability, wave 5 is weakly unstable, and the inverse energy cascade, which had been previously proposed as a main forcing for this type of wave, only acts as a positive feedback on its predominantly baroclinic energetics. The quasi-stationary wave is reinforced by a phase lock to an analogous pattern in the tropical convection, which provides further amplification to the wave. It is also found that the Pedlosky bounds on the phase speed of unstable waves provide guidance in explaining the latitudinal structure of the energy conversion, which is shown to be more enhanced where the zonal westerly surface wind is weaker. The wave’s energy is then trapped in the waveguide created by the upper tropospheric jet stream. In agreement with Green’s theory, as the equator-to-pole SST difference is reduced, the stationary marginally stable component shifts toward higher wavenumbers, while wave 5 becomes neutral and westward propagating. Some properties of the aquaplanet quasi-stationary waves are found to be in interesting agreement with a low frequency wave observed by Salby during December–February in the Southern Hemisphere so that this perspective on low frequency variability, apart from its value in terms of basic geophysical fluid dynamics, might be of specific interest for studying the earth’s atmosphere.

Description: Published

Description: 1023–1040.

Description: JCR Journal

Description: restricted