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  • Humans  (4)
  • Aeronautics (General)  (3)
  • Animals  (3)
  • Letters  (2)
  • Meteorology and Climatology
  • Space Sciences (General)
  • 2015-2019  (11)
  • 2016  (11)
  • 1
    Publication Date: 2016-01-13
    Description: Phasic contractions of collecting lymphatic vessels aid in the centripetal propulsion of lymph. The numerical model published in PNAS by Kunert et al. (1) describes how two “complementary feedback loops” involving Ca2+ and nitric oxide (NO) interact to drive the phasic contraction/relaxation cycle of lymphatic smooth muscle. The cycle is...
    Keywords: Letters
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 2
    Publication Date: 2016-08-17
    Description: In PNAS, Tsetsos et al. (1) report intransitive preferences consistent with selective integration (SI) theory. The Condorcet paradox warns that aggregating transitive (rational) preferences readily creates intransitive (irrational) collective preferences (2). Therefore, any study reporting intransitive behavior must guard against aggregation artifacts (3). In experiments 1–3, Tsetsos et al. (1)...
    Keywords: Letters
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 3
    Publication Date: 2016-04-30
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nardone, Roland M -- MacLeod, Roderick A F -- Capes-Davis, Amanda -- England -- Nature. 2016 Apr 21;532(7599):313.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27127813" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Line, Tumor ; DNA Contamination ; Databases, Factual ; *Disease Models, Animal ; Guidelines as Topic ; Heterografts/*standards ; Humans ; National Cancer Institute (U.S.) ; Neoplasms/*pathology ; Quality Control ; Reproducibility of Results ; United States ; Xenograft Model Antitumor Assays/*standards
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2016-01-28
    Description: Schizophrenia is a heritable brain illness with unknown pathogenic mechanisms. Schizophrenia's strongest genetic association at a population level involves variation in the major histocompatibility complex (MHC) locus, but the genes and molecular mechanisms accounting for this have been challenging to identify. Here we show that this association arises in part from many structurally diverse alleles of the complement component 4 (C4) genes. We found that these alleles generated widely varying levels of C4A and C4B expression in the brain, with each common C4 allele associating with schizophrenia in proportion to its tendency to generate greater expression of C4A. Human C4 protein localized to neuronal synapses, dendrites, axons, and cell bodies. In mice, C4 mediated synapse elimination during postnatal development. These results implicate excessive complement activity in the development of schizophrenia and may help explain the reduced numbers of synapses in the brains of individuals with schizophrenia.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752392/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752392/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sekar, Aswin -- Bialas, Allison R -- de Rivera, Heather -- Davis, Avery -- Hammond, Timothy R -- Kamitaki, Nolan -- Tooley, Katherine -- Presumey, Jessy -- Baum, Matthew -- Van Doren, Vanessa -- Genovese, Giulio -- Rose, Samuel A -- Handsaker, Robert E -- Schizophrenia Working Group of the Psychiatric Genomics Consortium -- Daly, Mark J -- Carroll, Michael C -- Stevens, Beth -- McCarroll, Steven A -- R01 HG006855/HG/NHGRI NIH HHS/ -- R01 MH077139/MH/NIMH NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U01 MH105641/MH/NIMH NIH HHS/ -- England -- Nature. 2016 Feb 11;530(7589):177-83. doi: 10.1038/nature16549. Epub 2016 Jan 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; MD-PhD Program, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, Massachusetts 02115, USA. ; Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26814963" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Amino Acid Sequence ; Animals ; Axons/metabolism ; Base Sequence ; Brain/metabolism/pathology ; Complement C4/chemistry/*genetics ; Complement Pathway, Classical ; Dendrites/metabolism ; Gene Dosage/genetics ; Gene Expression Regulation/genetics ; Genetic Predisposition to Disease/*genetics ; Genetic Variation/*genetics ; Haplotypes/genetics ; Humans ; Major Histocompatibility Complex/genetics ; Mice ; Models, Animal ; Neuronal Plasticity/genetics/physiology ; Polymorphism, Single Nucleotide/genetics ; RNA, Messenger/analysis/genetics ; Risk Factors ; Schizophrenia/*genetics/pathology ; Synapses/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2016-01-29
    Description: Wearable sensor technologies are essential to the realization of personalized medicine through continuously monitoring an individual's state of health. Sampling human sweat, which is rich in physiological information, could enable non-invasive monitoring. Previously reported sweat-based and other non-invasive biosensors either can only monitor a single analyte at a time or lack on-site signal processing circuitry and sensor calibration mechanisms for accurate analysis of the physiological state. Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements. Here we present a mechanically flexible and fully integrated (that is, no external analysis is needed) sensor array for multiplexed in situ perspiration analysis, which simultaneously and selectively measures sweat metabolites (such as glucose and lactate) and electrolytes (such as sodium and potassium ions), as well as the skin temperature (to calibrate the response of the sensors). Our work bridges the technological gap between signal transduction, conditioning (amplification and filtering), processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin with silicon integrated circuits consolidated on a flexible circuit board for complex signal processing. This application could not have been realized using either of these technologies alone owing to their respective inherent limitations. The wearable system is used to measure the detailed sweat profile of human subjects engaged in prolonged indoor and outdoor physical activities, and to make a real-time assessment of the physiological state of the subjects. This platform enables a wide range of personalized diagnostic and physiological monitoring applications.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gao, Wei -- Emaminejad, Sam -- Nyein, Hnin Yin Yin -- Challa, Samyuktha -- Chen, Kevin -- Peck, Austin -- Fahad, Hossain M -- Ota, Hiroki -- Shiraki, Hiroshi -- Kiriya, Daisuke -- Lien, Der-Hsien -- Brooks, George A -- Davis, Ronald W -- Javey, Ali -- P01 HG000205/HG/NHGRI NIH HHS/ -- England -- Nature. 2016 Jan 28;529(7587):509-14. doi: 10.1038/nature16521.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA. ; Berkeley Sensor and Actuator Center, University of California, Berkeley, California 94720, USA. ; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ; Stanford Genome Technology Center, Stanford School of Medicine, Palo Alto, California 94304, USA. ; Integrative Biology, University of California, Berkeley, California 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26819044" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Bicycling/physiology ; Body Water ; Calibration ; Electrolytes/analysis ; Female ; Glucose/analysis ; Healthy Volunteers ; Humans ; Lactic Acid/analysis ; Male ; Monitoring, Physiologic/*instrumentation/*methods ; Precision Medicine/instrumentation/methods ; Reproducibility of Results ; Running/physiology ; Skin ; Skin Temperature ; Sweat/*chemistry ; Young Adult
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2016-02-04
    Description: The Ebola virus disease epidemic in West Africa is the largest on record, responsible for over 28,599 cases and more than 11,299 deaths. Genome sequencing in viral outbreaks is desirable to characterize the infectious agent and determine its evolutionary rate. Genome sequencing also allows the identification of signatures of host adaptation, identification and monitoring of diagnostic targets, and characterization of responses to vaccines and treatments. The Ebola virus (EBOV) genome substitution rate in the Makona strain has been estimated at between 0.87 x 10(-3) and 1.42 x 10(-3) mutations per site per year. This is equivalent to 16-27 mutations in each genome, meaning that sequences diverge rapidly enough to identify distinct sub-lineages during a prolonged epidemic. Genome sequencing provides a high-resolution view of pathogen evolution and is increasingly sought after for outbreak surveillance. Sequence data may be used to guide control measures, but only if the results are generated quickly enough to inform interventions. Genomic surveillance during the epidemic has been sporadic owing to a lack of local sequencing capacity coupled with practical difficulties transporting samples to remote sequencing facilities. To address this problem, here we devise a genomic surveillance system that utilizes a novel nanopore DNA sequencing instrument. In April 2015 this system was transported in standard airline luggage to Guinea and used for real-time genomic surveillance of the ongoing epidemic. We present sequence data and analysis of 142 EBOV samples collected during the period March to October 2015. We were able to generate results less than 24 h after receiving an Ebola-positive sample, with the sequencing process taking as little as 15-60 min. We show that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Quick, Joshua -- Loman, Nicholas J -- Duraffour, Sophie -- Simpson, Jared T -- Severi, Ettore -- Cowley, Lauren -- Bore, Joseph Akoi -- Koundouno, Raymond -- Dudas, Gytis -- Mikhail, Amy -- Ouedraogo, Nobila -- Afrough, Babak -- Bah, Amadou -- Baum, Jonathan H J -- Becker-Ziaja, Beate -- Boettcher, Jan Peter -- Cabeza-Cabrerizo, Mar -- Camino-Sanchez, Alvaro -- Carter, Lisa L -- Doerrbecker, Juliane -- Enkirch, Theresa -- Garcia-Dorival, Isabel -- Hetzelt, Nicole -- Hinzmann, Julia -- Holm, Tobias -- Kafetzopoulou, Liana Eleni -- Koropogui, Michel -- Kosgey, Abigael -- Kuisma, Eeva -- Logue, Christopher H -- Mazzarelli, Antonio -- Meisel, Sarah -- Mertens, Marc -- Michel, Janine -- Ngabo, Didier -- Nitzsche, Katja -- Pallasch, Elisa -- Patrono, Livia Victoria -- Portmann, Jasmine -- Repits, Johanna Gabriella -- Rickett, Natasha Y -- Sachse, Andreas -- Singethan, Katrin -- Vitoriano, Ines -- Yemanaberhan, Rahel L -- Zekeng, Elsa G -- Racine, Trina -- Bello, Alexander -- Sall, Amadou Alpha -- Faye, Ousmane -- Faye, Oumar -- Magassouba, N'Faly -- Williams, Cecelia V -- Amburgey, Victoria -- Winona, Linda -- Davis, Emily -- Gerlach, Jon -- Washington, Frank -- Monteil, Vanessa -- Jourdain, Marine -- Bererd, Marion -- Camara, Alimou -- Somlare, Hermann -- Camara, Abdoulaye -- Gerard, Marianne -- Bado, Guillaume -- Baillet, Bernard -- Delaune, Deborah -- Nebie, Koumpingnin Yacouba -- Diarra, Abdoulaye -- Savane, Yacouba -- Pallawo, Raymond Bernard -- Gutierrez, Giovanna Jaramillo -- Milhano, Natacha -- Roger, Isabelle -- Williams, Christopher J -- Yattara, Facinet -- Lewandowski, Kuiama -- Taylor, James -- Rachwal, Phillip -- Turner, Daniel J -- Pollakis, Georgios -- Hiscox, Julian A -- Matthews, David A -- O'Shea, Matthew K -- Johnston, Andrew McD -- Wilson, Duncan -- Hutley, Emma -- Smit, Erasmus -- Di Caro, Antonino -- Wolfel, Roman -- Stoecker, Kilian -- Fleischmann, Erna -- Gabriel, Martin -- Weller, Simon A -- Koivogui, Lamine -- Diallo, Boubacar -- Keita, Sakoba -- Rambaut, Andrew -- Formenty, Pierre -- Gunther, Stephan -- Carroll, Miles W -- Medical Research Council/United Kingdom -- England -- Nature. 2016 Feb 11;530(7589):228-32. doi: 10.1038/nature16996. Epub 2016 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Microbiology and Infection, University of Birmingham, Birmingham B15 2TT, UK. ; The European Mobile Laboratory Consortium, Bernhard-Nocht-Institute for Tropical Medicine, D-20359 Hamburg, Germany. ; Bernhard-Nocht-Institute for Tropical Medicine, D-20359 Hamburg, Germany. ; Ontario Institute for Cancer Research, Toronto M5G 0A3, Canada. ; Department of Computer Science, University of Toronto, Toronto M5S 3G4, Canada. ; European Centre for Disease Prevention and Control (ECDC), 171 65 Solna, Sweden. ; National Infection Service, Public Health England, London NW9 5EQ, UK. ; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 2FL, UK. ; Postgraduate Training for Applied Epidemiology (PAE, German FETP), Robert Koch Institute, D-13302 Berlin, Germany. ; National Infection Service, Public Health England, Porton Down, Wiltshire SP4 0JG, UK. ; Swiss Tropical and Public Health Institute, 4002 Basel, Switzerland. ; Robert Koch Institute, D-13302 Berlin, Germany. ; University College London, London WC1E 6BT, UK. ; Paul-Ehrlich-Institut, Division of Veterinary Medicine, D-63225 Langen, Germany. ; Institute of Infection and Global Health, University of Liverpool, Liverpool L69 7BE, UK. ; Laboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, KU Leuven, Leuven B-3000, Belgium. ; Ministry of Health Guinea, Conakry BP 585, Guinea. ; Kenya Medical Research Institute, Nairobi P.O. BOX 54840 - 00200, Kenya. ; National Institute for Infectious Diseases L. Spallanzani, 00149 Rome, Italy. ; Friedrich-Loeffler-Institute, D-17493 Greifswald, Germany. ; Federal Office for Civil Protection, Spiez Laboratory, 3700 Spiez, Switzerland. ; Janssen-Cilag, Stockholm, Box 7073 - 19207, Sweden. ; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool L69 7BE, UK. ; Institute of Virology, Technische Universitat Munchen, D-81675 Munich, Germany. ; Public Health Agency of Canada, Winnipeg, Manitoba R3E 3R2, Canada. ; Institut Pasteur Dakar, Dakar, DP 220 Senegal. ; Laboratoire de Fievres Hemorragiques de Guinee, Conakry BP 5680, Guinea. ; Sandia National Laboratories, PO Box 5800 MS1363, Albuquerque, New Mexico 87185-1363, USA. ; Ratoma Ebola Diagnostic Center, Conakry, Guinea. ; MRIGlobal, Kansas City, Missouri 64110-2241, USA. ; Expertise France, Laboratoire K-plan de Forecariah en Guinee, 75006 Paris, France. ; Federation des Laboratoires - HIA Begin, 94163 Saint-Mande cedex, France. ; Laboratoire de Biologie - Centre de Traitement des Soignants, Conakry, Guinea. ; World Health Organization, Conakry BP 817, Guinea. ; London School of Hygiene and Tropical Medicine, London EC1E 7HT, UK. ; Norwegian Institute of Public Health, PO Box 4404 Nydalen, 0403 Oslo, Norway. ; Public Health Wales, Cardiff CF11 9LJ, UK. ; Defence Science and Technology Laboratory (Dstl) Porton Down, Salisbury SP4 0JQ, UK. ; Oxford Nanopore Technologies, Oxford OX4 4GA, UK. ; Department of Cellular and Molecular Medicine, School of Medical Sciences, University of Bristol, Bristol BS8 1TD, UK. ; Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham B15 2TH, UK. ; Centre of Defence Pathology, Royal Centre for Defence Medicine, Birmingham B15 2TH, UK. ; Queen Elizabeth Hospital, Birmingham B12 2TH, UK. ; Bundeswehr Institute of Microbiology, D-80937 Munich, Germany. ; Institut National de Sante Publique, Conakry BP 1147, Guinea. ; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892-2220, USA. ; Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh EH9 2FL, UK. ; University of Southampton, South General Hospital, Southampton SO16 6YD, UK. ; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, PHE Porton Down, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26840485" target="_blank"〉PubMed〈/a〉
    Keywords: Aircraft ; Disease Outbreaks/statistics & numerical data ; Ebolavirus/classification/*genetics/pathogenicity ; *Epidemiological Monitoring ; Genome, Viral/*genetics ; Guinea/epidemiology ; Hemorrhagic Fever, Ebola/*epidemiology/*virology ; Humans ; Mutagenesis/genetics ; Mutation Rate ; Sequence Analysis, DNA/*instrumentation/*methods ; Time Factors
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2016-05-07
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Davis, Andrew R -- Broad, Allison -- England -- Nature. 2016 May 5;533(7601):36. doi: 10.1038/533036a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Wollongong, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27147022" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Aquatic Organisms ; Biodiversity ; Conservation of Natural Resources/*methods/trends ; *Ecosystem ; Ships/*methods
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2019-08-14
    Description: This presentation gives insight into the research activities and efforts being executed in order to integrate unmanned aircraft systems into the national airspace system. This briefing is to inform others of the UAS-NAS FY16 progress and future directions.
    Keywords: Aeronautics (General)
    Type: DFRC-E-DAA-TN38587
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  • 9
    Publication Date: 2019-07-12
    Description: During the reporting period June 23, 2011 to August 31, 2013, CAER researchers carried out research in two areas of fundamental importance to the topic of cobalt-based Fischer-Tropsch Synthesis (FTS): promoters and stability. The first area was research into possible substitute promoters that might be used to replace the expensive promoters (e.g., Pt, Re, and Ru) that are commonly used. To that end, three separate investigations were carried out. Due to the strong support interaction of -Al2O3 with cobalt, metal promoters are commonly added to commercial FTS catalysts to facilitate the reduction of cobalt oxides and thereby boost active surface cobalt metal sites. To date, the metal promoters examined have been those up to and including Group 11. Because two Group 11 promoters (i.e., Ag and Au) were identified to exhibit positive impacts on conversion, selectivity, or both, research was undertaken to explore metals in Groups 12 - 14. The three metals selected for this purpose were Cd, In, and Sn. At a higher loading of 25%Co on alumina, 1% addition of Cd, In, or Sn was found to-on average-facilitate reduction by promoting a heterogeneous distribution of cobalt consisting of larger lesser interacting cobalt clusters and smaller strongly interacting cobalt species. The lesser interacting species were identified in TPR profiles, where a sharp low temperature peak occurred for the reduction of larger, weakly interacting, CoO species. In XANES, the Cd, In, and Sn promoters were found to exist as oxides, whereas typical promoters (e.g., Re, Ru, Pt) were previously determined to exist in an metallic state in atomic coordination with cobalt. The larger cobalt clusters significantly decreased the active site density relative to the unpromoted 25%Co/Al2O3 catalyst. Decreasing the cobalt loading to 15%Co eliminated the large non-interacting species. The TPR peak for reduction of strongly interacting CoO in the Cd promoted catalyst occurred at a measurably lower temperature than in the unpromoted catalyst. Nevertheless, the Co clusters remained slightly larger, on average, in comparison with the unpromoted 15%Co/Al2O3 reference catalyst. None of the promoted catalysts (i.e., with Cd, In, or Sn) exhibited surface Co0 site densities higher than that of the unpromoted catalyst. In activity testing, the activities were even much lower than what was expected from the H2-TPD results. Two possible explanations were proposed: (1) the promoters may be located on the surfaces of cobalt particles, blocking surface Co0 but being able to desorb hydrogen or (2) the promoters may facilitate Co oxidation during FTS, as previously observed by Huffman and coworkers when K was added to cobalt catalysts.
    Keywords: Aeronautics (General)
    Type: NASA/CR-2016-218485 , E-19036 , GRC-E-DAA-TN19171
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  • 10
    Publication Date: 2019-07-13
    Description: Climate models predict that tropical lower-stratospheric humidity will increase as the climate warms. We examine this trend in two state-of-the-art chemistry-climate models. Under high greenhouse gas emissions scenarios, the stratospheric entry value of water vapor increases by approx. 1 part per million by volume (ppmv) over this century in both models. We show with trajectory runs driven by model meteorological fields that the warming tropical tropopause layer (TTL) explains 50-80% of this increase. The remainder is a consequence of trends in evaporation of ice convectively lofted into the TTL and lower stratosphere. Our results further show that, within the models we examined, ice lofting is primarily important on long time scales - on interannual time scales, TTL temperature variations explain most of the variations in lower stratospheric humidity. Assessing the ability of models to realistically represent ice-lofting processes should be a high priority in the modeling community.
    Keywords: Meteorology and Climatology
    Type: GSFC-E-DAA-TN40564 , Geophysical Research Letters (ISSN 0094-8276); 43; 5; 2323–2329
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