ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Astrophysics  (14)
  • Meteorology and Climatology  (8)
  • Geosciences (General)  (4)
  • Male  (4)
  • GEOPHYSICS
  • 2015-2019  (30)
  • 1
    facet.materialart.
    Unknown
    Imbalanced OPA1 processing and mitochondrial fragmentation cause heart failure in mice (2016)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2016-01-20
    Description: Mitochondrial morphology is shaped by fusion and division of their membranes. Here, we found that adult myocardial function depends on balanced mitochondrial fusion and fission, maintained by processing of the dynamin-like guanosine triphosphatase OPA1 by the mitochondrial peptidases YME1L and OMA1. Cardiac-specific ablation of Yme1l in mice activated OMA1 and accelerated OPA1 proteolysis, which triggered mitochondrial fragmentation and altered cardiac metabolism. This caused dilated cardiomyopathy and heart failure. Cardiac function and mitochondrial morphology were rescued by Oma1 deletion, which prevented OPA1 cleavage. Feeding mice a high-fat diet or ablating Yme1l in skeletal muscle restored cardiac metabolism and preserved heart function without suppressing mitochondrial fragmentation. Thus, unprocessed OPA1 is sufficient to maintain heart function, OMA1 is a critical regulator of cardiomyocyte survival, and mitochondrial morphology and cardiac metabolism are intimately linked.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wai, Timothy -- Garcia-Prieto, Jaime -- Baker, Michael J -- Merkwirth, Carsten -- Benit, Paule -- Rustin, Pierre -- Ruperez, Francisco Javier -- Barbas, Coral -- Ibanez, Borja -- Langer, Thomas -- New York, N.Y. -- Science. 2015 Dec 4;350(6265):aad0116. doi: 10.1126/science.aad0116.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute for Genetics, University of Cologne, 50674 Cologne, Germany. Max-Planck-Institute for Biology of Aging, Cologne, Germany. ; Myocardial Pathophysiology Area, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain. ; Institute for Genetics, University of Cologne, 50674 Cologne, Germany. ; INSERM UMR 1141, Hopital Robert Debre, Paris, France. Universite Paris 7, Faculte de Medecine Denis Diderot, Paris, France. ; Centre for Metabolomics and Bioanalysis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo CEU, Campus Monteprincipe, Boadilla del Monte, 28668 Madrid, Spain. ; Myocardial Pathophysiology Area, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain. Department of Cardiology, Instituto de Investigacion Sanitaria (IIS), Fundacion Jimenez Diaz Hospital, Madrid, Spain. thomas.langer@uni-koeln.de bibanez@cnic.es. ; Institute for Genetics, University of Cologne, 50674 Cologne, Germany. Max-Planck-Institute for Biology of Aging, Cologne, Germany. Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany. Center for Molecular Medicine (CMMC), University of Cologne, Cologne, Germany. thomas.langer@uni-koeln.de bibanez@cnic.es.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26785494" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cardiomyopathy, Dilated/genetics/metabolism/pathology ; Diet, High-Fat ; Embryonic Development ; Female ; GTP Phosphohydrolases ; Gene Deletion ; Heart/embryology ; Heart Failure/genetics/*metabolism/pathology ; Male ; Metalloendopeptidases/genetics ; Metalloproteases/genetics/metabolism ; Mice ; Mice, Knockout ; Mitochondria, Heart/*metabolism/ultrastructure ; *Mitochondrial Degradation ; *Mitochondrial Dynamics ; Mitochondrial Proteins/genetics/metabolism ; Muscle, Skeletal/enzymology ; Myocardium/*metabolism/pathology ; Myocytes, Cardiac/enzymology/pathology ; Proteolysis
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 2
    facet.materialart.
    Unknown
    An essential cell cycle regulation gene causes hybrid inviability in Drosophila (2015)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2015-12-19
    Description: Speciation, the process by which new biological species arise, involves the evolution of reproductive barriers, such as hybrid sterility or inviability between populations. However, identifying hybrid incompatibility genes remains a key obstacle in understanding the molecular basis of reproductive isolation. We devised a genomic screen, which identified a cell cycle-regulation gene as the cause of male inviability in hybrids resulting from a cross between Drosophila melanogaster and D. simulans. Ablation of the D. simulans allele of this gene is sufficient to rescue the adult viability of hybrid males. This dominantly acting cell cycle regulator causes mitotic arrest and, thereby, inviability of male hybrid larvae. Our genomic method provides a facile means to accelerate the identification of hybrid incompatibility genes in other model and nonmodel systems.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4703311/" 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/PMC4703311/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Phadnis, Nitin -- Baker, EmilyClare P -- Cooper, Jacob C -- Frizzell, Kimberly A -- Hsieh, Emily -- de la Cruz, Aida Flor A -- Shendure, Jay -- Kitzman, Jacob O -- Malik, Harmit S -- 5T32 HD0741/HD/NICHD NIH HHS/ -- HG006283/HG/NHGRI NIH HHS/ -- R01 GM074108/GM/NIGMS NIH HHS/ -- R01 GM115914/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Dec 18;350(6267):1552-5. doi: 10.1126/science.aac7504.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, University of Utah, Salt Lake City, UT 84112, USA. nitin.phadnis@utah.edu hsmalik@fhcrc.org. ; Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. ; Department of Biology, University of Utah, Salt Lake City, UT 84112, USA. ; Genome Sciences, University of Washington, Seattle, WA 98195, USA. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. ; Genome Sciences, University of Washington, Seattle, WA 98195, USA. Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA. ; Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. Howard Hughes Medical Institute, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. nitin.phadnis@utah.edu hsmalik@fhcrc.org.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26680200" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Carrier Proteins/genetics/*physiology ; Cell Cycle/*genetics ; Chimera/genetics ; Crosses, Genetic ; Drosophila melanogaster/*genetics/growth & development ; Drosophila simulans/*genetics/growth & development ; Gene Expression Regulation, Developmental ; Genes, Essential/genetics/physiology ; Genes, Insect ; Genes, Lethal/genetics/*physiology ; *Genetic Speciation ; Male ; Molecular Sequence Data ; *Reproductive Isolation
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 3
    facet.materialart.
    Unknown
    Health and population effects of rare gene knockouts in adult humans with related parents (2016)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2016-03-05
    Description: Examining complete gene knockouts within a viable organism can inform on gene function. We sequenced the exomes of 3222 British adults of Pakistani heritage with high parental relatedness, discovering 1111 rare-variant homozygous genotypes with predicted loss of function (knockouts) in 781 genes. We observed 13.7% fewer homozygous knockout genotypes than we expected, implying an average load of 1.6 recessive-lethal-equivalent loss-of-function (LOF) variants per adult. When genetic data were linked to the individuals' lifelong health records, we observed no significant relationship between gene knockouts and clinical consultation or prescription rate. In this data set, we identified a healthy PRDM9-knockout mother and performed phased genome sequencing on her, her child, and control individuals. Our results show that meiotic recombination sites are localized away from PRDM9-dependent hotspots. Thus, natural LOF variants inform on essential genetic loci and demonstrate PRDM9 redundancy in humans.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Narasimhan, Vagheesh M -- Hunt, Karen A -- Mason, Dan -- Baker, Christopher L -- Karczewski, Konrad J -- Barnes, Michael R -- Barnett, Anthony H -- Bates, Chris -- Bellary, Srikanth -- Bockett, Nicholas A -- Giorda, Kristina -- Griffiths, Christopher J -- Hemingway, Harry -- Jia, Zhilong -- Kelly, M Ann -- Khawaja, Hajrah A -- Lek, Monkol -- McCarthy, Shane -- McEachan, Rosie -- O'Donnell-Luria, Anne -- Paigen, Kenneth -- Parisinos, Constantinos A -- Sheridan, Eamonn -- Southgate, Laura -- Tee, Louise -- Thomas, Mark -- Xue, Yali -- Schnall-Levin, Michael -- Petkov, Petko M -- Tyler-Smith, Chris -- Maher, Eamonn R -- Trembath, Richard C -- MacArthur, Daniel G -- Wright, John -- Durbin, Richard -- van Heel, David A -- GM 099640/GM/NIGMS NIH HHS/ -- MR/M009017/1/Medical Research Council/United Kingdom -- R01 GM104371/GM/NIGMS NIH HHS/ -- R01GM104371/GM/NIGMS NIH HHS/ -- WT098051/Wellcome Trust/United Kingdom -- WT099769/Wellcome Trust/United Kingdom -- WT101597/Wellcome Trust/United Kingdom -- WT102627/Wellcome Trust/United Kingdom -- British Heart Foundation/United Kingdom -- Arthritis Research UK/United Kingdom -- Cancer Research UK/United Kingdom -- Department of Health/United Kingdom -- Chief Scientist Office/United Kingdom -- New York, N.Y. -- Science. 2016 Apr 22;352(6284):474-7. doi: 10.1126/science.aac8624. Epub 2016 Mar 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. ; Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford BD9 6RJ, UK. ; Center for Genome Dynamics, The Jackson Laboratory, Bar Harbor, ME 04609, USA. ; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. ; Diabetes and Endocrine Centre, Heart of England NHS Foundation Trust and University of Birmingham, Birmingham B9 5SS, UK. ; TPP, Mill House, Troy Road, Leeds LS18 5TN, UK. ; Aston Research Centre for Healthy Ageing, Aston University, Birmingham B4 7ET, UK. ; 10X Genomics, 7068 Koll Center Parkway, Suite 415, Pleasanton, CA 94566, USA. ; Farr Institute of Health Informatics Research, London NW1 2DA, UK. Institute of Health Informatics, University College London, London NW1 2DA, UK. ; School of Clinical and Experimental Medicine, University of Birmingham, Birmingham B15 2TT, UK. ; Department of Medical Genetics, University of Cambridge and National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, Box 238, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. Faculty of Life Sciences and Medicine, King's College London, London SE1 1UL, UK. ; Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. rd@sanger.ac.uk d.vanheel@qmul.ac.uk. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. rd@sanger.ac.uk d.vanheel@qmul.ac.uk.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26940866" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; *Consanguinity ; DNA Mutational Analysis ; Drug Prescriptions ; Exome/genetics ; Female ; Fertility ; Gene Knockout Techniques ; Genes, Lethal ; Genetic Loci ; Genome, Human ; Great Britain ; *Health ; Histone-Lysine N-Methyltransferase/*genetics ; Homologous Recombination ; Homozygote ; Humans ; Male ; Mothers ; Pakistan/ethnology ; Phenotype
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 4
    facet.materialart.
    Unknown
    Naturally occurring p16(Ink4a)-positive cells shorten healthy lifespan (2016)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2016-02-04
    Description: Cellular senescence, a stress-induced irreversible growth arrest often characterized by expression of p16(Ink4a) (encoded by the Ink4a/Arf locus, also known as Cdkn2a) and a distinctive secretory phenotype, prevents the proliferation of preneoplastic cells and has beneficial roles in tissue remodelling during embryogenesis and wound healing. Senescent cells accumulate in various tissues and organs over time, and have been speculated to have a role in ageing. To explore the physiological relevance and consequences of naturally occurring senescent cells, here we use a previously established transgene, INK-ATTAC, to induce apoptosis in p16(Ink4a)-expressing cells of wild-type mice by injection of AP20187 twice a week starting at one year of age. We show that compared to vehicle alone, AP20187 treatment extended median lifespan in both male and female mice of two distinct genetic backgrounds. The clearance of p16(Ink4a)-positive cells delayed tumorigenesis and attenuated age-related deterioration of several organs without apparent side effects, including kidney, heart and fat, where clearance preserved the functionality of glomeruli, cardio-protective KATP channels and adipocytes, respectively. Thus, p16(Ink4a)-positive cells that accumulate during adulthood negatively influence lifespan and promote age-dependent changes in several organs, and their therapeutic removal may be an attractive approach to extend healthy lifespan.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, Darren J -- Childs, Bennett G -- Durik, Matej -- Wijers, Melinde E -- Sieben, Cynthia J -- Zhong, Jian -- Saltness, Rachel A -- Jeganathan, Karthik B -- Verzosa, Grace Casaclang -- Pezeshki, Abdulmohammad -- Khazaie, Khashayarsha -- Miller, Jordan D -- van Deursen, Jan M -- AG041122/AG/NIA NIH HHS/ -- HL111121/HL/NHLBI NIH HHS/ -- P01 AG041122/AG/NIA NIH HHS/ -- R01 CA096985/CA/NCI NIH HHS/ -- R01CA96985/CA/NCI NIH HHS/ -- England -- Nature. 2016 Feb 11;530(7589):184-9. doi: 10.1038/nature16932. Epub 2016 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pediatric and Adolescent Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA. ; Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA. ; Division of Cardiovascular Surgery, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA. ; Department of Immunology, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26840489" target="_blank"〉PubMed〈/a〉
    Keywords: Adipocytes/cytology/pathology/physiology ; Aging/*pathology/*physiology ; Animals ; Apoptosis ; Cell Aging/*physiology ; Cell Separation ; Cell Transformation, Neoplastic/pathology ; Cyclin-Dependent Kinase Inhibitor p16/*metabolism ; Epithelial Cells/cytology/pathology ; Female ; *Health ; Kidney/cytology/pathology/physiology/physiopathology ; Lipodystrophy/pathology ; Longevity/*physiology ; Male ; Mice ; Myocardium/cytology/metabolism/pathology ; Organ Specificity ; Stem Cells/cytology/pathology ; Time Factors
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 5
    facet.materialart.
    Unknown
    Improving Climate Projections Using "Intelligent" Ensembles (2015)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Recent changes in the climate system have led to growing concern, especially in communities which are highly vulnerable to resource shortages and weather extremes. There is an urgent need for better climate information to develop solutions and strategies for adapting to a changing climate. Climate models provide excellent tools for studying the current state of climate and making future projections. However, these models are subject to biases created by structural uncertainties. Performance metrics-or the systematic determination of model biases-succinctly quantify aspects of climate model behavior. Efforts to standardize climate model experiments and collect simulation data-such as the Coupled Model Intercomparison Project (CMIP)-provide the means to directly compare and assess model performance. Performance metrics have been used to show that some models reproduce present-day climate better than others. Simulation data from multiple models are often used to add value to projections by creating a consensus projection from the model ensemble, in which each model is given an equal weight. It has been shown that the ensemble mean generally outperforms any single model. It is possible to use unequal weights to produce ensemble means, in which models are weighted based on performance (called "intelligent" ensembles). Can performance metrics be used to improve climate projections? Previous work introduced a framework for comparing the utility of model performance metrics, showing that the best metrics are related to the variance of top-of-atmosphere outgoing longwave radiation. These metrics improve present-day climate simulations of Earth's energy budget using the "intelligent" ensemble method. The current project identifies several approaches for testing whether performance metrics can be applied to future simulations to create "intelligent" ensemble-mean climate projections. It is shown that certain performance metrics test key climate processes in the models, and that these metrics can be used to evaluate model quality in both current and future climate states. This information will be used to produce new consensus projections and provide communities with improved climate projections for urgent decision-making.
    Keywords: Meteorology and Climatology
    Type: NF1676L-21455 , CERES Science Team Meeting; May 05, 2015 - May 07, 2015; Hampton, VA; United States
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
  • 6
    facet.materialart.
    Unknown
    A Giant Radio Halo in a Low-Mass SZ-Selected Galaxy Cluster: ACT-CL J0256.5+0006 (2016)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: We present the detection of a giant radio halo (GRH) in the Sunyaev-Zel'dovich (SZ)-selected merging galaxy cluster ACT-CL J0256.5+0006 (zeta = 0.363), observed with the Giant Metrewave Radio Telescope at 325 MHz and 610 MHz. We find this cluster to host a faint (S(sub 610) = 5.6 +/- 1.4 mJy) radio halo with an angular extent of 2.6 arcmin, corresponding to 0.8 Mpc at the cluster redshift, qualifying it as a GRH. J0256 is one of the lowest-mass systems, M(sub 500,SZ) = (5.0 +/- 1.2) x 10(sup14) solar mass foud to host a GRH. We measure the GRH at lower significance at 325 MHz (S(sub 325) = 10.3 +/- 5.3 mJy), obtaining a spectral index measurement of alpha sup 610 sub 325 = 1.0(sup +0.7)(sub 0.9). This result is consistent with the mean spectral index of the population of typical radio halos, alpha = 1.2 +/- 0.2. Adopting the latter value, we determine a 1.4 GHz radio power of P(sub 1.4GHz) = (1.0 +/- 03) x 10(sup 24) W Hz(sup -1), placing this cluster within the scatter of known scaling relations. Various lines of evidence, including the ICM morphology, suggest that ACT-CL J0256.5+0006 is composed of two subclusters. We determine a merger mass ratio of 7:4, and a line-of-sight velocity difference of perpendicular = 1880 +/- 210 km s(sup -1). We construct a simple merger model of infer relevant time-scales in the merger. From its location on the P1.4GHz-L(sub x) scaling relation, we infer that we observe ACT-CL J0256.5+0006 just before first core crossing.
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN32419 , Monthly Notices Letters of the Royal Astronomical Observatory (e-ISSN 1745-3933); 459; 4; 4240-4258
    Format: text
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
  • 7
    facet.materialart.
    Unknown
    An Inversion Analysis of Recent Variability in Natural CO2 Fluxes Using GOSAT and In Situ Observations (2015)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: About one-half of the global CO2 emissions from fossil fuel combustion and deforestation accumulates in the atmosphere, where it contributes to global warming. The rest is taken up by vegetation and the ocean. The precise contribution of the two sinks, and their location and year-to-year variability are, however, not well understood. We use two different approaches, batch Bayesian synthesis inversion and variational data assimilation, to deduce the global spatiotemporal distributions of CO2 fluxes during 2009-2010. One of our objectives is to assess different sources of uncertainties in inferred fluxes, including uncertainties in prior flux estimates and observations, and differences in inversion techniques. For prior constraints, we utilize fluxes and uncertainties from the CASA-GFED model of the terrestrial biosphere and biomass burning driven by satellite observations and interannually varying meteorology. We also use measurement-based ocean flux estimates and two sets of fixed fossil CO2 emissions. Here, our inversions incorporate column CO2 measurements from the GOSAT satellite (ACOS retrieval, filtered and bias-corrected) and in situ observations (individual flask and afternoon-average continuous observations) to estimate fluxes in 108 regions over 8-day intervals for the batch inversion and at 3 x 3.75 weekly for the variational system. Relationships between fluxes and atmospheric concentrations are derived consistently for the two inversion systems using the PCTM atmospheric transport model driven by meteorology from the MERRA reanalysis. We compare the posterior fluxes and uncertainties derived using different data sets and the two inversion approaches, and evaluate the posterior atmospheric concentrations against independent data including aircraft measurements. The optimized fluxes generally resemble those from other studies. For example, the results indicate that the terrestrial biosphere is a net CO2 sink, and a GOSAT-only inversion suggests a shift in the global sink from the tropics south to the north relative to the prior and to an in-situ-only inversion. We also find a smaller terrestrial sink in higher-latitude northern regions in boreal summer of 2010 relative to 2009.
    Keywords: Meteorology and Climatology
    Type: GSFC-E-DAA-TN28909 , AGU Fall Meeting 2015; Dec 14, 2015 - Dec 18, 2015; San Francisco, CA; United States
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
  • 8
    facet.materialart.
    Unknown
    Multimessenger Science Opportunities with mHz Gravitational Waves (2019)
    In:  CASI
    Details
    Publication Date: 2019-07-20
    Description: LISA will open the mHz band of gravitational waves (GWs) to the astronomy community. Thestrong gravity which powers the variety of GW sources in this band is also crucial in a numberof important astrophysical processes at the current frontiers of astronomy. These range fromthe beginning of structure formation in the early universe, through the origin and cosmic evolutionof massive black holes in concert with their galactic environments, to the evolution ofstellar remnant binaries in the Milky Way and in nearby galaxies. These processes and theirassociated populations also drive current and future observations across the electromagnetic(EM) spectrum. We review opportunities for science breakthroughs, involving either direct coincidentEM+GW observations, or indirect multimessenger studies. We argue that for the UScommunity to fully capitalize on the opportunities from the LISA mission, the US efforts shouldbe accompanied by a coordinated and sustained program of multi-disciplinary science investment,following the GW data through to its impact on broad areas of astrophysics. Supportfor LISA-related multimessenger observers and theorists should be sized appropriately for aflagship observatory and may be coordinated through a dedicated mHz GW research center.
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN66947
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
  • 9
    facet.materialart.
    Unknown
    Assessing Uncertainties in Gridded Emissions: A Case Study for Fossil Fuel Carbon Dioxide (FFCO2) Emission Data (2017)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Fossil fuel carbon dioxide (CO2) emissions (FFCO2) are the largest input to the global carbon cycle on a decadal time scale. Because total emissions are assumed to be reasonably well constrained by fuel statistics, FFCO2 often serves as a reference in order to deduce carbon uptake by poorly understood terrestrial and ocean sinks. Conventional atmospheric CO2 flux inversions solve for spatially explicit regional sources and sinks and estimate land and ocean fluxes by subtracting FFCO2. Thus, errors in FFCO2 can propagate into the final inferred flux estimates. Gridded emissions are often based on disaggregation of emissions estimated at national or regional level. Although national and regional total FFCO2 are well known, gridded emission fields are subject to additional uncertainties due to the emission disaggregation. Assessing such uncertainties is often challenging because of the lack of physical measurements for evaluation. We first review difficulties in assessing uncertainties associated with gridded FFCO2 emission data and present several approaches for evaluation of such uncertainties at multiple scales. Given known limitations, inter-emission data differences are often used as a proxy for the uncertainty. The popular approach allows us to characterize differences in emissions, but does not allow us to fully quantify emission disaggregation biases. Our work aims to vicariously evaluate FFCO2 emission data using atmospheric models and measurements. We show a global simulation experiment where uncertainty estimates are propagated as an atmospheric tracer (uncertainty tracer) alongside CO2 in NASA's GEOS model and discuss implications of FFCO2 uncertainties in the context of flux inversions. We also demonstrate the use of high resolution urban CO2 simulations as a tool for objectively evaluating FFCO2 data over intense emission regions. Though this study focuses on FFCO2 emission data, the outcome of this study could also help improve the knowledge of similar gridded emissions data for non-CO2 compounds with similar emission characteristics.
    Keywords: Geosciences (General)
    Type: GSFC-E-DAA-TN50625 , American Geophysical Union (AGU) 2017 Fall Meeting; Dec 11, 2017 - Dec 15, 2017; New Orleans, LA; United States
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
  • 10
    facet.materialart.
    Unknown
    Observation- and Model-Based Estimates of Particulate Dry Nitrogen Deposition to the Oceans (2017)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Anthropogenic nitrogen (N) emissions to the atmosphere have increased significantly the deposition of nitrate (NO3-) and ammonium (NH4+) to the surface waters of the open ocean, with potential impacts on marine productivity and the global carbon cycle. Global-scale understanding of the impacts of N deposition to the oceans is reliant on our ability to produce and validate models of nitrogen emission, atmospheric chemistry, transport and deposition. In this work, approx. 2900 observations of aerosol NO3- and NH4+ concentrations, acquired from sampling aboard ships in the period 1995-2012, are used to assess the performance of modeled N concentration and deposition fields over the remote ocean. Three ocean regions (the eastern tropical North Atlantic, the northern Indian Ocean and northwest Pacific) were selected, in which the density and distribution of observational data were considered sufficient to provide effective comparison to model products. All of these study regions are affected by transport and deposition of mineral dust, which alters the deposition of N, due to uptake of nitrogen oxides (NOx) on mineral surfaces. Assessment of the impacts of atmospheric N deposition on the ocean requires atmospheric chemical transport models to report deposition fluxes, however these fluxes cannot be measured over the ocean. Modelling studies such as the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP), which only report deposition flux are therefore very difficult to validate for dry deposition. Here the available observational data were averaged over a 5deg x 5deg grid and compared to ACCMIP dry deposition fluxes (ModDep) of oxidised N (NOy) and reduced N (NHx) and to the following parameters from the TM4-ECPL (TM4) model: ModDep for NOy, NHx and particulate NO3- and NH4+, and surface-level particulate NO3- and NH4+ concentrations. As a model ensemble, ACCMIP can be expected to be more robust than TM4, while TM4 gives access to speciated parameters (NO3- and NH4+) that are more relevant to the observed parameters and which are not available in ACCMIP. Dry deposition fluxes (CalDep) were calculated from the observed concentrations using estimates of dry deposition velocities. Model observation ratios, weighted by grid-cell area and numbers of observations, (RA,n) were used to assess the performance of the models. Comparison in the three study regions suggests that TM4 over-estimates NO3- concentrations (RA,n = 1.4-2.9) and under-estimates NH4+ concentrations (RA,n = 0.5- 0.7), with spatial distributions in the tropical Atlantic and northern Indian Ocean not being reproduced by the model. In the case of NH4+ in the Indian Ocean, this discrepancy was probably due to seasonal biases in the sampling. Similar patterns were observed in the various comparisons of CalDep to ModDep (RA,n = 0.6- 2.6 for NO3-, 0.6-3.1 for NH4+). Values of RA,n for NHx CalDep - ModDep comparisons were approximately double the corresponding values for NH4+ CalDep - ModDep comparisons due to the significant fraction of gas- phase NH3 deposition incorporated in the TM4 and ACCMIP NHx model products. All of the comparisons suffered due to the scarcity of observational data and the large uncertainty in dry deposition velocities used to derive deposition fluxes from concentrations. (abstract is longer than the allotted space).
    Keywords: Geosciences (General)
    Type: GSFC-E-DAA-TN45188 , Atmospheric Chemistry and Physics (ISSN 1680-7316) (e-ISSN 1680-7324); 17; 13; 8189-8210
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...