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  • Oxford University Press  (8)
  • American Association for the Advancement of Science (AAAS)  (5)
  • American Meteorological Society  (5)
  • Copernicus
  • 2020-2024  (2)
  • 2000-2004  (18)
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  • 1
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    American Meteorological Society
    In:  EPIC3Bulletin of the American Meteorological Society, American Meteorological Society, 104(9), pp. s1-s10, ISSN: 0003-0007
    Publication Date: 2024-05-08
    Description: 〈jats:title〉Abstract〈/jats:title〉 〈jats:p〉—J. BLUNDEN, T. BOYER, AND E. BARTOW-GILLIES〈/jats:p〉 〈jats:p〉Earth’s global climate system is vast, complex, and intricately interrelated. Many areas are influenced by global-scale phenomena, including the “triple dip” La Niña conditions that prevailed in the eastern Pacific Ocean nearly continuously from mid-2020 through all of 2022; by regional phenomena such as the positive winter and summer North Atlantic Oscillation that impacted weather in parts the Northern Hemisphere and the negative Indian Ocean dipole that impacted weather in parts of the Southern Hemisphere; and by more localized systems such as high-pressure heat domes that caused extreme heat in different areas of the world. Underlying all these natural short-term variabilities are long-term climate trends due to continuous increases since the beginning of the Industrial Revolution in the atmospheric concentrations of Earth’s major greenhouse gases.〈/jats:p〉 〈jats:p〉In 2022, the annual global average carbon dioxide concentration in the atmosphere rose to 417.1±0.1 ppm, which is 50% greater than the pre-industrial level. Global mean tropospheric methane abundance was 165% higher than its pre-industrial level, and nitrous oxide was 24% higher. All three gases set new record-high atmospheric concentration levels in 2022.〈/jats:p〉 〈jats:p〉Sea-surface temperature patterns in the tropical Pacific characteristic of La Niña and attendant atmospheric patterns tend to mitigate atmospheric heat gain at the global scale, but the annual global surface temperature across land and oceans was still among the six highest in records dating as far back as the mid-1800s. It was the warmest La Niña year on record. Many areas observed record or near-record heat. Europe as a whole observed its second-warmest year on record, with sixteen individual countries observing record warmth at the national scale. Records were shattered across the continent during the summer months as heatwaves plagued the region. On 18 July, 104 stations in France broke their all-time records. One day later, England recorded a temperature of 40°C for the first time ever. China experienced its second-warmest year and warmest summer on record. In the Southern Hemisphere, the average temperature across New Zealand reached a record high for the second year in a row. While Australia’s annual temperature was slightly below the 1991–2020 average, Onslow Airport in Western Australia reached 50.7°C on 13 January, equaling Australia's highest temperature on record.〈/jats:p〉 〈jats:p〉While fewer in number and locations than record-high temperatures, record cold was also observed during the year. Southern Africa had its coldest August on record, with minimum temperatures as much as 5°C below normal over Angola, western Zambia, and northern Namibia. Cold outbreaks in the first half of December led to many record-low daily minimum temperature records in eastern Australia.〈/jats:p〉 〈jats:p〉The effects of rising temperatures and extreme heat were apparent across the Northern Hemisphere, where snow-cover extent by June 2022 was the third smallest in the 56-year record, and the seasonal duration of lake ice cover was the fourth shortest since 1980. More frequent and intense heatwaves contributed to the second-greatest average mass balance loss for Alpine glaciers around the world since the start of the record in 1970. Glaciers in the Swiss Alps lost a record 6% of their volume. In South America, the combination of drought and heat left many central Andean glaciers snow free by mid-summer in early 2022; glacial ice has a much lower albedo than snow, leading to accelerated heating of the glacier. Across the global cryosphere, permafrost temperatures continued to reach record highs at many high-latitude and mountain locations.〈/jats:p〉 〈jats:p〉In the high northern latitudes, the annual surface-air temperature across the Arctic was the fifth highest in the 123-year record. The seasonal Arctic minimum sea-ice extent, typically reached in September, was the 11th-smallest in the 43-year record; however, the amount of multiyear ice—ice that survives at least one summer melt season—remaining in the Arctic continued to decline. Since 2012, the Arctic has been nearly devoid of ice more than four years old.〈/jats:p〉 〈jats:p〉In Antarctica, an unusually large amount of snow and ice fell over the continent in 2022 due to several landfalling atmospheric rivers, which contributed to the highest annual surface mass balance, 15% to 16% above the 1991–2020 normal, since the start of two reanalyses records dating to 1980. It was the second-warmest year on record for all five of the long-term staffed weather stations on the Antarctic Peninsula. In East Antarctica, a heatwave event led to a new all-time record-high temperature of −9.4°C—44°C above the March average—on 18 March at Dome C. This was followed by the collapse of the critically unstable Conger Ice Shelf. More than 100 daily low sea-ice extent and sea-ice area records were set in 2022, including two new all-time annual record lows in net sea-ice extent and area in February.〈/jats:p〉 〈jats:p〉Across the world’s oceans, global mean sea level was record high for the 11th consecutive year, reaching 101.2 mm above the 1993 average when satellite altimetry measurements began, an increase of 3.3±0.7 over 2021. Globally-averaged ocean heat content was also record high in 2022, while the global sea-surface temperature was the sixth highest on record, equal with 2018. Approximately 58% of the ocean surface experienced at least one marine heatwave in 2022. In the Bay of Plenty, New Zealand’s longest continuous marine heatwave was recorded.〈/jats:p〉 〈jats:p〉A total of 85 named tropical storms were observed during the Northern and Southern Hemisphere storm seasons, close to the 1991–2020 average of 87. There were three Category 5 tropical cyclones across the globe—two in the western North Pacific and one in the North Atlantic. This was the fewest Category 5 storms globally since 2017. Globally, the accumulated cyclone energy was the lowest since reliable records began in 1981. Regardless, some storms caused massive damage. In the North Atlantic, Hurricane Fiona became the most intense and most destructive tropical or post-tropical cyclone in Atlantic Canada’s history, while major Hurricane Ian killed more than 100 people and became the third costliest disaster in the United States, causing damage estimated at $113 billion U.S. dollars. In the South Indian Ocean, Tropical Cyclone Batsirai dropped 2044 mm of rain at Commerson Crater in Réunion. The storm also impacted Madagascar, where 121 fatalities were reported.〈/jats:p〉 〈jats:p〉As is typical, some areas around the world were notably dry in 2022 and some were notably wet. In August, record high areas of land across the globe (6.2%) were experiencing extreme drought. Overall, 29% of land experienced moderate or worse categories of drought during the year. The largest drought footprint in the contiguous United States since 2012 (63%) was observed in late October. The record-breaking megadrought of central Chile continued in its 13th consecutive year, and 80-year record-low river levels in northern Argentina and Paraguay disrupted fluvial transport. In China, the Yangtze River reached record-low values. Much of equatorial eastern Africa had five consecutive below-normal rainy seasons by the end of 2022, with some areas receiving record-low precipitation totals for the year. This ongoing 2.5-year drought is the most extensive and persistent drought event in decades, and led to crop failure, millions of livestock deaths, water scarcity, and inflated prices for staple food items.〈/jats:p〉 〈jats:p〉In South Asia, Pakistan received around three times its normal volume of monsoon precipitation in August, with some regions receiving up to eight times their expected monthly totals. Resulting floods affected over 30 million people, caused over 1700 fatalities, led to major crop and property losses, and was recorded as one of the world’s costliest natural disasters of all time. Near Rio de Janeiro, Brazil, Petrópolis received 530 mm in 24 hours on 15 February, about 2.5 times the monthly February average, leading to the worst disaster in the city since 1931 with over 230 fatalities.〈/jats:p〉 〈jats:p〉On 14–15 January, the Hunga Tonga-Hunga Ha'apai submarine volcano in the South Pacific erupted multiple times. The injection of water into the atmosphere was unprecedented in both magnitude—far exceeding any previous values in the 17-year satellite record—and altitude as it penetrated into the mesosphere. The amount of water injected into the stratosphere is estimated to be 146±5 Terragrams, or ∼10% of the total amount in the stratosphere. It may take several years for the water plume to dissipate, and it is currently unknown whether this eruption will have any long-term climate effect.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 2
    Publication Date: 2002-06-01
    Description: The high degree of similarity between the mouse and human genomes is demonstrated through analysis of the sequence of mouse chromosome 16 (Mmu 16), which was obtained as part of a whole-genome shotgun assembly of the mouse genome. The mouse genome is about 10% smaller than the human genome, owing to a lower repetitive DNA content. Comparison of the structure and protein-coding potential of Mmu 16 with that of the homologous segments of the human genome identifies regions of conserved synteny with human chromosomes (Hsa) 3, 8, 12, 16, 21, and 22. Gene content and order are highly conserved between Mmu 16 and the syntenic blocks of the human genome. Of the 731 predicted genes on Mmu 16, 509 align with orthologs on the corresponding portions of the human genome, 44 are likely paralogous to these genes, and 164 genes have homologs elsewhere in the human genome; there are 14 genes for which we could find no human counterpart.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mural, Richard J -- Adams, Mark D -- Myers, Eugene W -- Smith, Hamilton O -- Miklos, George L Gabor -- Wides, Ron -- Halpern, Aaron -- Li, Peter W -- Sutton, Granger G -- Nadeau, Joe -- Salzberg, Steven L -- Holt, Robert A -- Kodira, Chinnappa D -- Lu, Fu -- Chen, Lin -- Deng, Zuoming -- Evangelista, Carlos C -- Gan, Weiniu -- Heiman, Thomas J -- Li, Jiayin -- Li, Zhenya -- Merkulov, Gennady V -- Milshina, Natalia V -- Naik, Ashwinikumar K -- Qi, Rong -- Shue, Bixiong Chris -- Wang, Aihui -- Wang, Jian -- Wang, Xin -- Yan, Xianghe -- Ye, Jane -- Yooseph, Shibu -- Zhao, Qi -- Zheng, Liansheng -- Zhu, Shiaoping C -- Biddick, Kendra -- Bolanos, Randall -- Delcher, Arthur L -- Dew, Ian M -- Fasulo, Daniel -- Flanigan, Michael J -- Huson, Daniel H -- Kravitz, Saul A -- Miller, Jason R -- Mobarry, Clark M -- Reinert, Knut -- Remington, Karin A -- Zhang, Qing -- Zheng, Xiangqun H -- Nusskern, Deborah R -- Lai, Zhongwu -- Lei, Yiding -- Zhong, Wenyan -- Yao, Alison -- Guan, Ping -- Ji, Rui-Ru -- Gu, Zhiping -- Wang, Zhen-Yuan -- Zhong, Fei -- Xiao, Chunlin -- Chiang, Chia-Chien -- Yandell, Mark -- Wortman, Jennifer R -- Amanatides, Peter G -- Hladun, Suzanne L -- Pratts, Eric C -- Johnson, Jeffery E -- Dodson, Kristina L -- Woodford, Kerry J -- Evans, Cheryl A -- Gropman, Barry -- Rusch, Douglas B -- Venter, Eli -- Wang, Mei -- Smith, Thomas J -- Houck, Jarrett T -- Tompkins, Donald E -- Haynes, Charles -- Jacob, Debbie -- Chin, Soo H -- Allen, David R -- Dahlke, Carl E -- Sanders, Robert -- Li, Kelvin -- Liu, Xiangjun -- Levitsky, Alexander A -- Majoros, William H -- Chen, Quan -- Xia, Ashley C -- Lopez, John R -- Donnelly, Michael T -- Newman, Matthew H -- Glodek, Anna -- Kraft, Cheryl L -- Nodell, Marc -- Ali, Feroze -- An, Hui-Jin -- Baldwin-Pitts, Danita -- Beeson, Karen Y -- Cai, Shuang -- Carnes, Mark -- Carver, Amy -- Caulk, Parris M -- Center, Angela -- Chen, Yen-Hui -- Cheng, Ming-Lai -- Coyne, My D -- Crowder, Michelle -- Danaher, Steven -- Davenport, Lionel B -- Desilets, Raymond -- Dietz, Susanne M -- Doup, Lisa -- Dullaghan, Patrick -- Ferriera, Steven -- Fosler, Carl R -- Gire, Harold C -- Gluecksmann, Andres -- Gocayne, Jeannine D -- Gray, Jonathan -- Hart, Brit -- Haynes, Jason -- Hoover, Jeffery -- Howland, Tim -- Ibegwam, Chinyere -- Jalali, Mena -- Johns, David -- Kline, Leslie -- Ma, Daniel S -- MacCawley, Steven -- Magoon, Anand -- Mann, Felecia -- May, David -- McIntosh, Tina C -- Mehta, Somil -- Moy, Linda -- Moy, Mee C -- Murphy, Brian J -- Murphy, Sean D -- Nelson, Keith A -- Nuri, Zubeda -- Parker, Kimberly A -- Prudhomme, Alexandre C -- Puri, Vinita N -- Qureshi, Hina -- Raley, John C -- Reardon, Matthew S -- Regier, Megan A -- Rogers, Yu-Hui C -- Romblad, Deanna L -- Schutz, Jakob -- Scott, John L -- Scott, Richard -- Sitter, Cynthia D -- Smallwood, Michella -- Sprague, Arlan C -- Stewart, Erin -- Strong, Renee V -- Suh, Ellen -- Sylvester, Karena -- Thomas, Reginald -- Tint, Ni Ni -- Tsonis, Christopher -- Wang, Gary -- Wang, George -- Williams, Monica S -- Williams, Sherita M -- Windsor, Sandra M -- Wolfe, Keriellen -- Wu, Mitchell M -- Zaveri, Jayshree -- Chaturvedi, Kabir -- Gabrielian, Andrei E -- Ke, Zhaoxi -- Sun, Jingtao -- Subramanian, Gangadharan -- Venter, J Craig -- Pfannkoch, Cynthia M -- Barnstead, Mary -- Stephenson, Lisa D -- New York, N.Y. -- Science. 2002 May 31;296(5573):1661-71.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Celera Genomics, 45 West Gude Drive, Rockville, MD 20850, USA. richard.mural@celera.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12040188" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Composition ; Chromosomes/*genetics ; Chromosomes, Human/genetics ; Computational Biology ; Conserved Sequence ; Databases, Nucleic Acid ; Evolution, Molecular ; Genes ; Genetic Markers ; *Genome ; *Genome, Human ; Genomics ; Humans ; Mice ; Mice, Inbred A/genetics ; Mice, Inbred DBA/genetics ; Mice, Inbred Strains/*genetics ; Molecular Sequence Data ; Physical Chromosome Mapping ; Proteins/chemistry/genetics ; Sequence Alignment ; *Sequence Analysis, DNA ; Species Specificity ; *Synteny
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2003-08-02
    Description: We use an empirical statistical model to demonstrate significant skill in making extended-range forecasts of the monthly-mean Arctic Oscillation (AO). Forecast skill derives from persistent circulation anomalies in the lowermost stratosphere and is greatest during boreal winter. A comparison to the Southern Hemisphere provides evidence that both the time scale and predictability of the AO depend on the presence of persistent circulation anomalies just above the tropopause. These circulation anomalies most likely affect the troposphere through changes to waves in the upper troposphere, which induce surface pressure changes that correspond to the AO.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baldwin, Mark P -- Stephenson, David B -- Thompson, David W J -- Dunkerton, Timothy J -- Charlton, Andrew J -- O'Neill, Alan -- New York, N.Y. -- Science. 2003 Aug 1;301(5633):636-40.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Northwest Research Associates, 14508 NE 20th Street, Bellevue, WA, 98007, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12893941" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2004-11-30
    Description: The widespread extinctions of large mammals at the end of the Pleistocene epoch have often been attributed to the depredations of humans; here we present genetic evidence that questions this assumption. We used ancient DNA and Bayesian techniques to reconstruct a detailed genetic history of bison throughout the late Pleistocene and Holocene epochs. Our analyses depict a large diverse population living throughout Beringia until around 37,000 years before the present, when the population's genetic diversity began to decline dramatically. The timing of this decline correlates with environmental changes associated with the onset of the last glacial cycle, whereas archaeological evidence does not support the presence of large populations of humans in Eastern Beringia until more than 15,000 years later.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shapiro, Beth -- Drummond, Alexei J -- Rambaut, Andrew -- Wilson, Michael C -- Matheus, Paul E -- Sher, Andrei V -- Pybus, Oliver G -- Gilbert, M Thomas P -- Barnes, Ian -- Binladen, Jonas -- Willerslev, Eske -- Hansen, Anders J -- Baryshnikov, Gennady F -- Burns, James A -- Davydov, Sergei -- Driver, Jonathan C -- Froese, Duane G -- Harington, C Richard -- Keddie, Grant -- Kosintsev, Pavel -- Kunz, Michael L -- Martin, Larry D -- Stephenson, Robert O -- Storer, John -- Tedford, Richard -- Zimov, Sergei -- Cooper, Alan -- New York, N.Y. -- Science. 2004 Nov 26;306(5701):1561-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Henry Wellcome Ancient Biomolecules Centre, Oxford University, South Parks Road, Oxford OX13PS, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15567864" target="_blank"〉PubMed〈/a〉
    Keywords: Alaska ; Animals ; Bayes Theorem ; *Bison/classification/genetics ; Canada ; China ; *Climate ; DNA, Mitochondrial/genetics ; Environment ; *Fossils ; Genetic Variation ; Genetics, Population ; Human Activities ; Humans ; North America ; Phylogeny ; Population Dynamics ; Sequence Analysis, DNA ; Time
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2004-06-12
    Description: Understanding the suppression of ferroelectricity in perovskite thin films is a fundamental issue that has remained unresolved for decades. We report a synchrotron x-ray study of lead titanate as a function of temperature and film thickness for films as thin as a single unit cell. At room temperature, the ferroelectric phase is stable for thicknesses down to 3 unit cells (1.2 nanometers). Our results imply that no thickness limit is imposed on practical devices by an intrinsic ferroelectric size effect.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Fong, Dillon D -- Stephenson, G Brian -- Streiffer, Stephen K -- Eastman, Jeffrey A -- Auciello, Orlando -- Fuoss, Paul H -- Thompson, Carol -- New York, N.Y. -- Science. 2004 Jun 11;304(5677):1650-3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Materials Science Division, Argonne National Laboratory, Argonne, IL 60439, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15192223" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2004-08-25
    Description: Intracellular acidification of skeletal muscles is commonly thought to contribute to muscle fatigue. However, intracellular acidosis also acts to preserve muscle excitability when muscles become depolarized, which occurs with working muscles. Here, we show that this process may be mediated by decreased chloride permeability, which enables action potentials to still be propagated along the internal network of tubules in a muscle fiber (the T system) despite muscle depolarization. These results implicate chloride ion channels in muscle function and emphasize that intracellular acidosis of muscle has protective effects during muscle fatigue.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pedersen, Thomas H -- Nielsen, Ole B -- Lamb, Graham D -- Stephenson, D George -- New York, N.Y. -- Science. 2004 Aug 20;305(5687):1144-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physiology, University of Aarhus, DK-8000, Denmark.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15326352" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials ; Animals ; Calcium/metabolism ; Chloride Channels/*metabolism ; Chlorides/metabolism ; Electric Stimulation ; Hydrogen-Ion Concentration ; In Vitro Techniques ; Lactic Acid/metabolism ; Membrane Potentials ; Muscle Contraction ; *Muscle Fatigue ; Muscle Fibers, Skeletal/metabolism/*physiology ; Muscle, Skeletal/metabolism/*physiology ; Permeability ; Potassium/metabolism ; Rats ; Sarcoplasmic Reticulum/metabolism
    Print ISSN: 0036-8075
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
  • 8
    Publication Date: 2002-03-01
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
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  • 9
    Publication Date: 2004-04-01
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
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  • 10
    Publication Date: 2000-04-01
    Print ISSN: 0882-8156
    Electronic ISSN: 1520-0434
    Topics: Geography , Physics
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