Institution
State Oceanic Administration
About: State Oceanic Administration is a based out in . It is known for research contribution in the topics: Sea surface temperature & Sediment. The organization has 6839 authors who have published 6451 publications receiving 109069 citations.
Topics: Sea surface temperature, Sediment, Estuary, Bay, Phytoplankton
Papers published on a yearly basis
Papers
More filters
••
Seoul National University1, Hebrew University of Jerusalem2, University of Seville3, University of Copenhagen4, University of Valencia5, University of Coimbra6, United States Department of Agriculture7, Korea University8, State Oceanic Administration9, Murdoch University10, University of Salamanca11
TL;DR: The minimal standards for the quality of genome sequences and how they can be applied for taxonomic purposes are described.
Abstract: Advancement of DNA sequencing technology allows the routine use of genome sequences in the various fields of microbiology. The information held in genome sequences proved to provide objective and reliable means in the taxonomy of prokaryotes. Here, we describe the minimal standards for the quality of genome sequences and how they can be applied for taxonomic purposes.
1,908 citations
••
TL;DR: The authors used a coupled ocean-atmosphere model to forecast El Nino for the period from 1857 to 2003, at lead times of up to two years, and found that the evolution of El-Nino is controlled to a larger degree by self-sustaining internal dynamics than by stochastic forcing.
Abstract: Forecasts of El Nino climate events are routinely provided and distributed, but the limits of El Nino predictability are still the subject of debate. Some recent studies suggest that the predictability is largely limited by the effects of high-frequency atmospheric 'noise', whereas others emphasize limitations arising from the growth of initial errors in model simulations. Here we present retrospective forecasts of the interannual climate fluctuations in the tropical Pacific Ocean for the period 1857 to 2003, using a coupled ocean-atmosphere model. The model successfully predicts all prominent El Nino events within this period at lead times of up to two years. Our analysis suggests that the evolution of El Nino is controlled to a larger degree by self-sustaining internal dynamics than by stochastic forcing. Model-based prediction of El Nino therefore depends more on the initial conditions than on unpredictable atmospheric noise. We conclude that throughout the past century, El Nino has been more predictable than previously envisaged.
525 citations
••
Tongji University1, Woods Hole Oceanographic Institution2, Texas A&M University3, Lamont–Doherty Earth Observatory4, ETH Zurich5, Centre national de la recherche scientifique6, University of South Florida St. Petersburg7, Chinese Academy of Sciences8, Louisiana State University9, Oregon State University10, Macquarie University11, State Oceanic Administration12, Oeschger Centre for Climate Change Research13, Korean Ocean Research and Development Institute14, China University of Geosciences (Wuhan)15, University of São Paulo16, University of the Philippines17, China University of Geosciences (Beijing)18, Japan Agency for Marine-Earth Science and Technology19, Virginia Tech College of Natural Resources and Environment20
TL;DR: In this paper, the authors combined analyses of deep tow magnetic anomalies and International Ocean Discovery Program Expedition 349 cores to show that seafloor spreading started around 33 Ma in the northeastern South China Sea (SCS), but varied slightly by 1-2 Myr along the northern continent-ocean boundary.
Abstract: Combined analyses of deep tow magnetic anomalies and International Ocean Discovery Program Expedition 349 cores show that initial seafloor spreading started around 33 Ma in the northeastern South China Sea (SCS), but varied slightly by 1-2 Myr along the northern continent-ocean boundary (COB). A southward ridge jump of approximate to 20 km occurred around 23.6 Ma in the East Subbasin; this timing also slightly varied along the ridge and was coeval to the onset of seafloor spreading in the Southwest Subbasin, which propagated for about 400 km southwestward from approximate to 23.6 to approximate to 21.5 Ma. The terminal age of seafloor spreading is approximate to 15 Ma in the East Subbasin and approximate to 16 Ma in the Southwest Subbasin. The full spreading rate in the East Subbasin varied largely from approximate to 20 to approximate to 80 km/Myr, but mostly decreased with time except for the period between approximate to 26.0 Ma and the ridge jump (approximate to 23.6 Ma), within which the rate was the fastest at approximate to 70 km/Myr on average. The spreading rates are not correlated, in most cases, to magnetic anomaly amplitudes that reflect basement magnetization contrasts. Shipboard magnetic measurements reveal at least one magnetic reversal in the top 100 m of basaltic layers, in addition to large vertical intensity variations. These complexities are caused by late-stage lava flows that are magnetized in a different polarity from the primary basaltic layer emplaced during the main phase of crustal accretion. Deep tow magnetic modeling also reveals this smearing in basement magnetizations by incorporating a contamination coefficient of 0.5, which partly alleviates the problem of assuming a magnetic blocking model of constant thickness and uniform magnetization. The primary contribution to magnetic anomalies of the SCS is not in the top 100 m of the igneous basement.
415 citations
••
University of East Anglia1, Bjerknes Centre for Climate Research2, Geophysical Institute, University of Bergen3, University of Paris4, University of Exeter5, Leibniz Institute of Marine Sciences6, Earth System Research Laboratory7, University of Colorado Boulder8, Columbia University9, Hobart Corporation10, Cooperative Research Centre11, Atlantic Oceanographic and Meteorological Laboratory12, University of Miami13, University of Southampton14, Federal University of Pernambuco15, State Oceanic Administration16, University of Gothenburg17, University of Alaska Fairbanks18, Norwegian Polar Institute19, University of Perpignan20, Council of Scientific and Industrial Research21, Commonwealth Scientific and Industrial Research Organisation22, University of Hawaii at Manoa23, Alfred Wegener Institute for Polar and Marine Research24, University of New Hampshire25, Institut de recherche pour le développement26, Plymouth Marine Laboratory27, Oak Ridge National Laboratory28, University of the Aegean29, Max Planck Society30, Japan Agency for Marine-Earth Science and Technology31, United States Geological Survey32, Japan Meteorological Agency33, Leibniz Association34, World Meteorological Organization35, National University of Ireland, Galway36
TL;DR: This ESSD "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection.
Abstract: . The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.6 million fCO2 values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO2 values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water fCO2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer (previously known as the Cruise Data Viewer) allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. High-profile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This ESSD (Earth System Science Data) "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection (Pfeil et al., 2013; Sabine et al., 2013; Bakker et al., 2014). Individual data set files, included in the synthesis product, can be downloaded here: doi:10.1594/PANGAEA.849770 . The gridded products are available here: doi:10.3334/CDIAC/OTG.SOCAT_V3_GRID .
408 citations
••
TL;DR: Preliminary efforts on developing and optimizing applications on the TaihuLight system are reported, focusing on key application domains, such as earth system modeling, ocean surface wave modeling, atomistic simulation, and phase-field simulation.
Abstract: The Sunway TaihuLight supercomputer is the worlds first system with a peak performance greater than 100 PFlops. In this paper, we provide a detailed introduction to the TaihuLight system. In contrast with other existing heterogeneous supercomputers, which include both CPU processors and PCIe-connected many-core accelerators (NVIDIA GPU or Intel Xeon Phi), the computing power of TaihuLight is provided by a homegrown many-core SW26010 CPU that includes both the management processing elements (MPEs) and computing processing elements (CPEs) in one chip. With 260 processing elements in one CPU, a single SW26010 provides a peak performance of over three TFlops. To alleviate the memory bandwidth bottleneck in most applications, each CPE comes with a scratch pad memory, which serves as a user-controlled cache. To support the parallelization of programs on the new many-core architecture, in addition to the basic C/C++ and Fortran compilers, the system provides a customized Sunway OpenACC tool that supports the OpenACC 2.0 syntax. This paper also reports our preliminary efforts on developing and optimizing applications on the TaihuLight system, focusing on key application domains, such as earth system modeling, ocean surface wave modeling, atomistic simulation, and phase-field simulation.
394 citations
Authors
Showing all 6839 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rui Zhang | 151 | 2625 | 107917 |
Jiahuai Han | 111 | 379 | 49379 |
Lin Liu | 78 | 937 | 24389 |
Jian Ma | 68 | 512 | 18696 |
Congjie Gao | 67 | 436 | 15893 |
Chen-Tung Arthur Chen | 62 | 310 | 12930 |
Lei Wang | 59 | 988 | 14887 |
Xin Wang | 59 | 762 | 22731 |
Bo Lu | 58 | 353 | 21823 |
Yan Li | 57 | 324 | 11937 |
Kui Wang | 55 | 444 | 11275 |
Ping Chang | 53 | 184 | 13591 |
Jing Zhang | 45 | 120 | 6880 |
Tangdong Qu | 44 | 103 | 6257 |
Bo Xu | 44 | 559 | 9161 |