메뉴 건너뛰기




Volumn , Issue , 2016, Pages 187-219

Climate Analytics as a Service

Author keywords

Archive management; Big data; Climate models; Climate reanalysis; Cloud computing; Hadoop; High performance computing; IPCC; MapReduce; MERRA; OAIS

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); CLIMATE MODELS; CLOUD COMPUTING; DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; NASA;

EID: 84969699830     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-803192-6.00011-6     Document Type: Chapter
Times cited : (7)

References (44)
  • 2
    • 84969745880 scopus 로고    scopus 로고
    • Burned Area Emergency Response (BAER), 2015. http://www.nifc.gov/BAER.
    • (2015)
  • 5
    • 84969668566 scopus 로고    scopus 로고
    • Copernicus Climate Change Service (CCCS), 2015. http://www.ecmwf.int/en/about/what-we-do/copernicus/copernicus-climate-change-service.
    • (2015)
  • 6
    • 84969668568 scopus 로고    scopus 로고
    • Climate Model Data Services (CDS), 2015. https://cds.nccs.nasa.gov.
    • (2015)
  • 7
    • 84969745845 scopus 로고    scopus 로고
    • Climate and Forecast Conventions and Metadata (CF), 2015. http://cfconventions.org.
    • (2015)
  • 8
    • 84969638983 scopus 로고    scopus 로고
    • Cloudera, 2015. http://cloudera.com.
    • (2015)
  • 9
    • 84969745840 scopus 로고    scopus 로고
    • Climate Model Intercomparison Project (CMIP), 2015. http://cmip-pcmdi.llnl.gov.
    • (2015)
  • 10
    • 84969639020 scopus 로고    scopus 로고
    • Collaborative REAnalysis Technical Environment - Intercomparison Project (CREATE-IP), 2015. https://www.earthsystemcog.org/projects/create-ip/aboutus/.
    • (2015)
  • 11
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: simplified data processing on large clusters
    • Dean, J., Ghemawat, S., 2008. MapReduce: simplified data processing on large clusters. Communications of the ACM 51 (1), 107-113.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 13
    • 84969704902 scopus 로고    scopus 로고
    • Earth Observing System Distributed Information System (EOSDIS), 2015. https://earthdata.nasa.gov.
    • (2015)
  • 14
    • 84922321918 scopus 로고    scopus 로고
    • Publication in the Ernst & Young Global Technology Industry Discussion Series
    • Ernst, Young, 2011. Cloud Computing Issues and Impacts. Publication in the Ernst & Young Global Technology Industry Discussion Series. https://www.hashdoc.com/documents/10977/cloud-computing-issues-and-impacts.
    • (2011) Cloud Computing Issues and Impacts
    • Ernst, Y.1
  • 15
    • 84969634758 scopus 로고    scopus 로고
    • Earth System Grid Federation (ESGF), 2015. http://esgf.llnl.gov.
    • (2015)
  • 16
    • 84969697253 scopus 로고    scopus 로고
    • Hierarchical Data Format Version 5 (HDF-5), 2015. https://www.hdfgroup.org/HDF5/.
    • (2015)
  • 17
    • 84969704915 scopus 로고    scopus 로고
    • Hadoop Distributed File System (HDFS), 2015. http://hadoop.apache.org.
    • (2015)
  • 18
    • 84969736044 scopus 로고    scopus 로고
    • Intergovernmental Panel on Climate Change (IPCC), 2015. http://www.ipcc.ch.
    • (2015)
  • 19
    • 84969748517 scopus 로고    scopus 로고
    • iPlant Collaborative (iPlant), 2015. http://www.iplantcollaborative.org.
    • (2015)
  • 20
    • 84969736045 scopus 로고    scopus 로고
    • Integrated Rule-Oriented Data System (iRODS), 2015. http://www.irods.org.
    • (2015)
  • 23
    • 84928135172 scopus 로고    scopus 로고
    • August 17, The New York Times. Technology Section
    • Lohr, S., August 17, 2014. For Big-Data Scientists, "Janitor Work" Is Key Hurdle to Insights. The New York Times. Technology Section http://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html?_r=2.
    • (2014) For Big-Data Scientists, "Janitor Work" Is Key Hurdle to Insights
    • Lohr, S.1
  • 24
    • 84969747754 scopus 로고    scopus 로고
    • Modern-Era Retrospective Analysis for Research and Applications (MERRA), 2015. http://gmao.gsfc.nasa.gov/merra/.
    • (2015)
  • 26
    • 84884943196 scopus 로고    scopus 로고
    • A.40 Computational Modeling Algorithms and Cyberinfrastructure
    • NASA Research Announcement Solicitation NNH11ZDA001N-CMAC
    • NASA, 2012. A.40 Computational Modeling Algorithms and Cyberinfrastructure. NASA Research Announcement Solicitation NNH11ZDA001N-CMAC. http://nspires.nasaprs.com/external/viewrepositorydocument/cmdocumentid=257069/solicitationId=%7B074C12AB-FE57-8247-AC16D620E429359F%7D/viewSolicitationDocument=1/A%2040%20CMAC%20Amend%2034.pdf.
    • (2012)
  • 27
    • 84969748502 scopus 로고    scopus 로고
    • NASA Center for Climate Simulation (NCCS), 2015. http://www.nccs.nasa.gov.
    • (2015)
  • 28
    • 84969593047 scopus 로고    scopus 로고
    • Network Common Data Form (NetCDF), 2015. http://www.unidata.ucar.edu/software/netcdf/.
    • (2015)
  • 29
    • 84969658584 scopus 로고    scopus 로고
    • Open Archive Information System (OAIS) Reference Model, 2012. http://public.ccsds.org/publications/archive/650x0m2.pdf.
    • (2012)
  • 30
    • 84969603235 scopus 로고    scopus 로고
    • Open Geospatical Consortium (OGC), 2015. http://www.opengeospatial.org.
    • (2015)
  • 31
    • 84969730881 scopus 로고    scopus 로고
    • Reanalysis.org, 2015. http://reanalysis.org.
    • (2015)
  • 32
  • 33
    • 79952683753 scopus 로고    scopus 로고
    • MERRA: NASA's Modern-era retrospective analysis for research and applications
    • Available online at
    • Rienecker, M.M., etal., 2011. MERRA: NASA's Modern-era retrospective analysis for research and applications. Journal of Climate 24 (14), 3624-3648. Available online at: http://dx.doi.org/10.1175/JCLI-D-11-00015.1.
    • (2011) Journal of Climate , vol.24 , Issue.14 , pp. 3624-3648
    • Rienecker, M.M.1
  • 39
    • 84969696841 scopus 로고    scopus 로고
    • Big Data: What Is NASA Doing with Big Data Today?
    • Open.Gov open access article
    • Skytland, N., 2012. Big Data: What Is NASA Doing with Big Data Today? Open.Gov open access article. http://open.nasa.gov/blog/2012/10/04/what-is-nasa-doing-with-big-data-today/.
    • (2012)
    • Skytland, N.1
  • 40
    • 84930649985 scopus 로고    scopus 로고
    • CMIP5 Data Reference Syntax (DRS) and Controlled Vocabularies
    • Taylor, K.E., Balaji, V., Hankin, S., Juckes, M., Lawrence, B., Pascoe, S., 2012. CMIP5 Data Reference Syntax (DRS) and Controlled Vocabularies. 16 pp. http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference:syntax.pdf.
    • (2012) , pp. 16
    • Taylor, K.E.1    Balaji, V.2    Hankin, S.3    Juckes, M.4    Lawrence, B.5    Pascoe, S.6
  • 41
    • 77953207828 scopus 로고    scopus 로고
    • The Fourth Paradigm: Data-Intensive Scientific Discovery
    • Redmond, Also available online at
    • Tony, H., Tansley, S., Tolle, K. (Eds.), 2009. The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, Redmond. 252 pp. Also available online at: http://research.microsoft.com/en-us/collaboration/fourthparadigm/4th_paradigm_book_complete_lr.pdf.
    • (2009) Microsoft Research , pp. 252
    • Tony, H.1    Tansley, S.2    Tolle, K.3
  • 42
    • 84969700799 scopus 로고    scopus 로고
    • World Wide web Consortium (W3C), 2015. http://www.w3.org.
    • (2015)
  • 43
    • 84875078508 scopus 로고    scopus 로고
    • Where does irrigation water go? An estimate of the contribution of irrigation to precipitation using MERRA
    • Wei, J., Dirmeyer, P.A., Wisser, D., Bosilovich, M.G., Mocko, D.M., 2013. Where does irrigation water go? An estimate of the contribution of irrigation to precipitation using MERRA. Journal of Hydrometeorology 14 (2), 271-289.
    • (2013) Journal of Hydrometeorology , vol.14 , Issue.2 , pp. 271-289
    • Wei, J.1    Dirmeyer, P.A.2    Wisser, D.3    Bosilovich, M.G.4    Mocko, D.M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.