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R.m. Cushman - One of the best experts on this subject based on the ideXlab platform.
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Carbon Dioxide Information Analysis Center and World Data Center for Atmospheric Trace Gases, Fiscal Year 2002 Annual Report
2002Co-Authors: R.m. CushmanAbstract:The Carbon Dioxide Information Analysis Center (CDIAC), which includes the World Data Center (WDC) for Atmospheric Trace Gases, is the primary global change Data and information analysis Center of the U.S. Department of Energy (DOE). More than just an archive of Data sets and publications, CDIAC has, since its inception in 1982, enhanced the value of its holdings through intensive quality assurance, documentation, and integration. Whereas many traditional Data Centers are discipline-based (for example, meteorology or oceanography), CDIAC's scope includes potentially anything and everything that would be of value to users concerned with the greenhouse effect and global climate change, including atmospheric concentrations and atmospheric emissions of carbon dioxide (CO{sub 2}) and other radiatively active gases; the role of the terrestrial biosphere and the oceans in the biogeochemical cycles of greenhouse gases; long-term climate trends; the effects of elevated CO{sub 2} on vegetation; and the vulnerability of coastal areas to rising sea levels.
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Carbon Dioxide Information Analysis Center and World Data Center for Atmospheric Trace Gases Fiscal Year 2000 Annual Report
2001Co-Authors: R.m. CushmanAbstract:The Carbon Dioxide Information Analysis Center (CDIAC), which includes the World Data Center (WDC) for Atmospheric Trace Gases, is the primary global change Data and information analysis Center of the U.S. Department of Energy (DOE). More than just an archive of Data sets and publications, CDIAC has, since its inception in 1982, enhanced the value of its holdings through intensive quality assurance, documentation, and integration. Whereas many traditional Data Centers are discipline-based (for example, meteorology or oceanography), CDIAC's scope includes potentially anything and everything that would be of value to users concerned with the greenhouse effect and global climate change, including concentrations of carbon dioxide (CO{sub 2}) and other radiatively active gases in the atmosphere; the role of the terrestrial biosphere and the oceans in the biogeochemical cycles of greenhouse gases; emissions of CO{sub 2} and other trace gases to the atmosphere; long-term climate trends; the effects of elevated CO{sub 2} on vegetation; and the vulnerability of coastal areas to rising sea levels.
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Carbon Dioxide Information Analysis Center and World Data Center for Atmospheric Trace Gases Fiscal Year 1999 Annual Report
2000Co-Authors: R.m. CushmanAbstract:The Carbon Dioxide Information Analysis Center (CDIAC), which includes the World Data Center (WDC) for Atmospheric Trace Gases, is the primary global-change Data and information analysis Center of the Department of Energy (DOE). More than just an archive of Data sets and publications, CDIAC has--since its inception in 1982--enhanced the value of its holdings through intensive quality assurance, documentation, and integration. Whereas many traditional Data Centers are discipline-based (for example, meteorology or oceanography), CDIAC's scope includes potentially anything and everything that would be of value to users concerned with the greenhouse effect and global climate change, including concentrations of carbon dioxide (CO{sub 2}) and other radiatively active gases in the atmosphere; the role of the terrestrial biosphere and the oceans in the biogeochemical cycles of greenhouse gases; emissions of CO{sub 2} and other trace gases to the atmosphere; long-term climate trends; the effects of elevated CO{sub 2} on vegetation; and the vulnerability of coastal areas to rising sea level. CDIAC is located within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL) in Oak Ridge, Tennessee. CDIAC is co-located with ESD researchers investigating global-change topics, such as the global carbon cycle and the effects of carbon dioxide on vegetation. CDIAC staff are also connected with current ORNL research on related topics, such as renewable energy and supercomputing technologies. CDIAC is supported by the Environmental Sciences Division (Jerry Elwood, Acting Director) of DOE's Office of Biological and Environmental Research. CDIAC's FY 1999 budget was 2.2M dollars. CDIAC represents the DOE in the multi-agency Global Change Data and Information System. Bobbi Parra, and Wanda Ferrell on an interim basis, is DOE's Program Manager with responsibility for CDIAC. CDIAC comprises three groups, Global Change Data, Computer Systems, and Information Services, with seventeen full-time and part-time staff. The Global Change Data group is responsible for identifying and obtaining Databases important to global-change research, analyzing Data, compiling needed Databases, providing Data management support to specific programs (e.g., NARSTO), and preparing documentation to ensure the long-term utility of CDIAC's Data holdings. The Computer Systems group provides computer system support for all CDIAC and WDC activities, including designing and maintaining CDIAC's computing system network; ensuring compliance with ORNL/DOE computing security regulations; ensuring long-term preservation of CDIAC Data holdings through systematic backups; evaluating, developing, and implementing software; ensuring standards compliance; generating user statistics; providing Web design, development, and oversight; and providing systems analysis and programming assistance for scientific Data projects. The Information Services group responds to Data and information requests; maintains records of all request activities; assists in Web development and maintenance; and produces CDIAC's newsletter, CDIAC Communications, catalog, glossary, and educational materials. The following section provides further details on CDIAC's organization.
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Fiscal Year 1998 Annual Report, Carbon Dioxide Information Analysis Center, World Data Center -- A for Atmospheric Trace Gases
1999Co-Authors: R.m. Cushman, T.a. Boden, S.b. Jones, L.a. Hook, D.p. Kaiser, T.r. NelsonAbstract:Once again, the most recent fiscal year was a productive one for the Carbon Dioxide Information Analysis Center (CDIAC) at Oak Ridge National Laboratory (ORNL), as well as a year for change. The FY 1998 in Review section in this report summarizes quite a few new and updated Data and information products, and the ''What's Coming in FY 1999'' section describes our plans for this new fiscal year. During FY 1998, CDIAC began a Data-management system for AmeriFlux, a long-term study of carbon fluxes between the terrestrial biosphere of the Western Hemisphere and the atmosphere. The specific objectives of AmeriFlux are to establish an infrastructure for guiding, collecting, synthesizing, and disseminating long-term measurements of CO{sub 2}, water, and energy exchange from a variety of ecosystems; collect critical new information to help define the current global CO{sub 2} budget; enable improved predictions of future concentrations of atmospheric CO{sub 2}; and enhance understanding of carbon fluxes. Net Ecosystem Production (NEP), and carbon sequestration in the terrestrial biosphere. The Data-management system, available from CDIAC'S AmeriFlux home page (http://cdiac.esd.ornl.gov/programs/ameriflux/ ) is intended to provide consistent, quality-assured, and documented Data across all AmeriFlux sites in the US, Canada, Costa Rica, and Brazil. It is being developed by Antoinette Brenkert and Tom Boden, with assistance from Susan Holladay (who joined CDIAC specifically to support the AmeriFlux Data-management effort).
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Carbon Dioxide Analysis Center and World Data Center-A for Atmospheric Trace Gases fiscal year 1997 annual report
1998Co-Authors: Burtis, R.m. Cushman, T.a. Boden, S.b. Jones, D.p. Kaiser, T.r. NelsonAbstract:Fiscal year (FY) 1997 was another exciting and productive one for the Carbon Dioxide Information Analysis Center (CDIAC) at the Oak Ridge National Laboratory. During FY 1997, CDIAC launched the Quality Systems Science Center for the North American Research Strategy for Tropospheric Ozone (NARSTO). The purpose of NARSTO--a US-Canada-Mexico initiative of government agencies, industry, and the academic research community--is to improve the understanding of the formation and transport of tropospheric ozone.
M. Bencardino - One of the best experts on this subject based on the ideXlab platform.
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Increasing the maturity of measurements of essential climate variables (ECVs) at Italian atmospheric WMO/GAW observatories by implementing automated Data elaboration chains
Computers & Geosciences, 2020Co-Authors: Luca Naitza, Paolo Cristofanelli, Angela Marinoni, Francescopiero Calzolari, F. Roccato, Maurizio Busetto, Sferlazzo, Eleonora Aruffo, P. Di Carlo, M. BencardinoAbstract:Abstract In the framework of the National Project of Interest NextData, we developed automatic procedures for the flagging and formatting of trace gases, atmospheric aerosols and meteorological Data to be submitted to the World Data Centers (WDCs) of the Global Atmosphere Watch program of the World Meteorological Organization (WMO/GAW). In particular, the atmospheric Essential Climate Variables (ECVs) covered in this work are observations of near-surface trace gas concentrations, aerosol properties and meteorological variables, which are under the umbrella of the World Data Center for Greenhouse Gases (WDCGG), the World Data Center for Reactive Gases, and the World Data Center for Aerosol (WDCRG and WDCA). We developed an overarching processing chain to create a number of Data products (Data files and reports) starting from the raw Data, finally contributing to increase the maturity of these measurements. To this aim, we implemented specific routines for Data filtering, flagging, format harmonization, and creation of Data products, useful for detecting instrumental problems, particular atmospheric events and quick Data dissemination towards stakeholders or citizens. Currently, the automatic Data processing is active for a subset of ECVs at 5 measurement sites in Italy. The system represents a valuable tool to facilitate Data originators towards a more efficient Data production. Our effort is expected to accelerate the process of Data submission to WMO/GAW or to other reference Data Centers or repositories. Moreover, the adoption of automatic procedures for Data flagging and Data correction allows to keep track of the process that led to the final validated Data, and makes Data evaluation and revisions more efficient by improving the traceability of the Data production process.
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Automatic procedures for submitting essential climate variables (ECVs) recorded at Italian Atmospheric Observatories to WMO/GAW Data Centers
2018Co-Authors: Luca Naitza, Angela Marinoni, Francescopiero Calzolari, F. Roccato, Maurizio Busetto, Eleonora Aruffo, P. Di Carlo, Davide Putero, Damiano Sferlazzo, M. BencardinoAbstract:Abstract. In the framework of the National Project of Interest NextData, we developed procedures for the automatic flagging and formatting of trace gas, atmospheric aerosol and meteorological Data to be submitted to Global Atmosphere Watch programme by the World Meteorological Organization (WMO/GAW). In this work, we describe a first prototype of a centralized system to support Italian atmospheric observatories towards a more efficient and objective Data production and subsequent submission to WMO/GAW World Data Centers (WDCs). In particular, the atmospheric variables covered by this work were focused on near-surface trace gases, aerosol properties and (ancillary) meteorological parameters which are under the umbrella of the World Data Center for Greenhouse Gases (WDCGG, see https://ds.Data.jma.go.jp/gmd/wdcgg/ ), World Data Center for Reactive Gases and World Data Center for Aerosol (WDCRG and WDCA, see http://ebas.nilu.no ). For different Essential Climate Variables (ECVs), we developed specific routines for Data filtering, flagging, format harmonization and creation of Data products (i.e. plot of raw and valid-corrected-averaged ECV Data and internal instrument parameters) useful for detecting instrumental problems or atmospheric events. A special suite of products based on the temporal aggregation of valid ECV Data (like the “calendar” or “timevariation” products) were implemented for quick Data dissemination towards stakeholders or citizens Currently, the automatic processing of Data is active for a subset of ECVs and 4 measurement sites in Italy. The NextData system does not generate “consolidated” Data to be directly submitted to WDCs, but it represents a valuable tool to facilitate Data providers towards a more efficient Data production for those Data streams. Our effort is expected to accelerate the process of Data submission to GAW/WMO or to other reference Data Centers or repositories as well as to make the Data flagging more “objective”, which means that it is based on a set of well-defined selection criteria and not strictly related to the subjective judgment of station operators. Moreover, the adoption of automatic procedures for Data flagging and Data correction allows to keep track of the process that led to the final validated Data, and makes Data evaluation and revisions more efficient.
Nasa - One of the best experts on this subject based on the ideXlab platform.
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Bibliography ussr igy World Data Center b1
2019Co-Authors: NasaAbstract:Bibliography of U.S.S.R. contributions to International Geophysical Year /IGY/ World Data Center BI
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Catalogue of Data in World Data Center A - Rockets and satellites, 1 January - 30 June 1969
2013Co-Authors: NasaAbstract:World Data Center information on sounding rockets, artificial earth satellites, and space probes - 1 Jan. to 30 Jun. 1969
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Data received by World Data Center A for rockets and satellites during the period 1 July - 31 December 1970
2013Co-Authors: NasaAbstract:Sounding rocket and artificial satellite launching Data for 1 Jan. to 31 Dec. 1971 from World Data Center A
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World Data Center A (rockets and satellites) catalogue of Data. Volume 1, part A: Sounding rockets
2013Co-Authors: NasaAbstract:A cumulative listing of all scientifically successful rockets that have been identified from various sources is presented. The listing starts with the V-2 rocket launched on 7 March 1947 and contains all rockets identified up to 31 December 1971.
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Status of availability of Zond 8 (1970-088A) lunar photography
2013Co-Authors: NasaAbstract:The availability is announced of selected Zond 8 photographs from the National Space Science Data Center/World Data Center A for Rockets and Satellites (NSSDC/WDC-A-R&S). Procedures for ordering these Data are included.
Luca Naitza - One of the best experts on this subject based on the ideXlab platform.
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Increasing the maturity of measurements of essential climate variables (ECVs) at Italian atmospheric WMO/GAW observatories by implementing automated Data elaboration chains
Computers & Geosciences, 2020Co-Authors: Luca Naitza, Paolo Cristofanelli, Angela Marinoni, Francescopiero Calzolari, F. Roccato, Maurizio Busetto, Sferlazzo, Eleonora Aruffo, P. Di Carlo, M. BencardinoAbstract:Abstract In the framework of the National Project of Interest NextData, we developed automatic procedures for the flagging and formatting of trace gases, atmospheric aerosols and meteorological Data to be submitted to the World Data Centers (WDCs) of the Global Atmosphere Watch program of the World Meteorological Organization (WMO/GAW). In particular, the atmospheric Essential Climate Variables (ECVs) covered in this work are observations of near-surface trace gas concentrations, aerosol properties and meteorological variables, which are under the umbrella of the World Data Center for Greenhouse Gases (WDCGG), the World Data Center for Reactive Gases, and the World Data Center for Aerosol (WDCRG and WDCA). We developed an overarching processing chain to create a number of Data products (Data files and reports) starting from the raw Data, finally contributing to increase the maturity of these measurements. To this aim, we implemented specific routines for Data filtering, flagging, format harmonization, and creation of Data products, useful for detecting instrumental problems, particular atmospheric events and quick Data dissemination towards stakeholders or citizens. Currently, the automatic Data processing is active for a subset of ECVs at 5 measurement sites in Italy. The system represents a valuable tool to facilitate Data originators towards a more efficient Data production. Our effort is expected to accelerate the process of Data submission to WMO/GAW or to other reference Data Centers or repositories. Moreover, the adoption of automatic procedures for Data flagging and Data correction allows to keep track of the process that led to the final validated Data, and makes Data evaluation and revisions more efficient by improving the traceability of the Data production process.
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Automatic procedures for submitting essential climate variables (ECVs) recorded at Italian Atmospheric Observatories to WMO/GAW Data Centers
2018Co-Authors: Luca Naitza, Angela Marinoni, Francescopiero Calzolari, F. Roccato, Maurizio Busetto, Eleonora Aruffo, P. Di Carlo, Davide Putero, Damiano Sferlazzo, M. BencardinoAbstract:Abstract. In the framework of the National Project of Interest NextData, we developed procedures for the automatic flagging and formatting of trace gas, atmospheric aerosol and meteorological Data to be submitted to Global Atmosphere Watch programme by the World Meteorological Organization (WMO/GAW). In this work, we describe a first prototype of a centralized system to support Italian atmospheric observatories towards a more efficient and objective Data production and subsequent submission to WMO/GAW World Data Centers (WDCs). In particular, the atmospheric variables covered by this work were focused on near-surface trace gases, aerosol properties and (ancillary) meteorological parameters which are under the umbrella of the World Data Center for Greenhouse Gases (WDCGG, see https://ds.Data.jma.go.jp/gmd/wdcgg/ ), World Data Center for Reactive Gases and World Data Center for Aerosol (WDCRG and WDCA, see http://ebas.nilu.no ). For different Essential Climate Variables (ECVs), we developed specific routines for Data filtering, flagging, format harmonization and creation of Data products (i.e. plot of raw and valid-corrected-averaged ECV Data and internal instrument parameters) useful for detecting instrumental problems or atmospheric events. A special suite of products based on the temporal aggregation of valid ECV Data (like the “calendar” or “timevariation” products) were implemented for quick Data dissemination towards stakeholders or citizens Currently, the automatic processing of Data is active for a subset of ECVs and 4 measurement sites in Italy. The NextData system does not generate “consolidated” Data to be directly submitted to WDCs, but it represents a valuable tool to facilitate Data providers towards a more efficient Data production for those Data streams. Our effort is expected to accelerate the process of Data submission to GAW/WMO or to other reference Data Centers or repositories as well as to make the Data flagging more “objective”, which means that it is based on a set of well-defined selection criteria and not strictly related to the subjective judgment of station operators. Moreover, the adoption of automatic procedures for Data flagging and Data correction allows to keep track of the process that led to the final validated Data, and makes Data evaluation and revisions more efficient.
Tingting Yang - One of the best experts on this subject based on the ideXlab platform.
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Optical switching based small-World Data Center network
Computer Communications, 2017Co-Authors: Dongxu Zhang, Hongxiang Guo, Tingting YangAbstract:Redesigning Data Center networks, particularly taking advantages of optical switching technologies to reduce cost-per-bandwidth and energy consumption, has spawned interests of researchers Worldwide in recent years. In this paper, we introduce and analysis our recently proposed optical switching technology powered Data Center network architecture, which is inspired from the small World Data Center network topology yet has additional flexibility brought by optical lightpath's reconfigurability. Specifically, logically full-meshed optical burst switching rings are employed to compose a lattice substrate, which provide dense connectivity for small groups of ToR switches to accommodate highly clustered and dynamic regional Data traffic, while a reconfigurable wavelength circuit switching plane offers direct connections among the racks to effectively reduce overall network diameter. A centralized control plane is employed to realize traffic-adaptive optical lightpath scheduling mechanisms. We thoroughly study the throughput and latency performance of the proposed architecture through numerical simulations, and particularly reveal the impact of traffic patterns. It turns out that, the proposed network architecture can achieve high throughput with significantly reduced cost, and exploiting its traffic-adaptive reconfiguration capability can effectively improve throughput and reduce latency under varying traffic distributions.
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Topology reconstruction strategy with the optical switching based small World Data Center network
2016 21st OptoElectronics and Communications Conference (OECC) held jointly with 2016 International Conference on Photonics in Switching (PS), 2016Co-Authors: Tingting Yang, Hongxiang Guo, Dongxu Zhang, Jian WuAbstract:We proposed periodic and load-driven topology reconstruction strategies for the OpenScale architecture. Simulation results verified their effectiveness while load-driven reconstruction strategy performs better in reducing control plane's overhead and nodes' packet forwarding burden.
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Enabling traffic optimized topology reconstruction with the optical switching based small World Data Center network
2015 European Conference on Optical Communication (ECOC), 2015Co-Authors: Dongxu Zhang, Tingting Yang, Hongxiang GuoAbstract:Based on the OpenScale architecture, we proposed an SDN-assisted traffic adaptive topology reconstruction scheme by rearranging long-reach lightpaths on top of the sub-wavelength switching regular lattice network. Simulation results verified the good performance of the proposed scheme.
