2024-03-29T07:57:02Zhttp://nsidc.org/api/dataset/metadata/oaioai:nsidc.org/G02168.0012023-06-28T16:42:58Znoaav0_otherv0_all
G02168.001Timing and Statistics of Autumn and Spring Annual Snow Cover for the Northern Hemisphere, 1972 to 2000Dye, D.Timing and Statistics of Autumn and Spring Annual Snow Cover for the Northern Hemisphere, 1972 to 20002005-12-21Boulder, Colorado USANSIDC: National Snow and Ice Data Center1false10.7265/N5F18WNChttps://doi.org/10.7265/N5F18WNCG02168InvestigatorDennisDye81-45-778-559481-45-778-5706YokohamaJapanTechnical ContactNSIDCUser Servicesnsidc@nsidc.org1-303-492-61991-303-492-2468CIRES, 449 UCBUniversity of ColoradoBoulderCO80309-0449USAEARTH SCIENCECRYOSPHERESNOW/ICESNOW COVER Climatology/Meteorology/AtmosphereNOAANorthern HemisphereNSIDC > National Snow and Ice Data CenterSSM/ISpecial Sensor Microwave/ImagerDMSPDefense Meteorological Satellite Program1972-01-012000-12-31complete090-180180Geographic RegionNorthern HemisphereVaries1 yearBy inspecting visible band satellite imagery, analysts from the NOAA Office of Satellite Data Processing and Distribution (OSDPD), Satellite Services Division (SSD), Satellite Analysis Branch (SAB), produced an analogue Northern Hemisphere snow/ice map. (More recently, production of this product has taken place in a digital environment. (See IMS Daily Northern Hemisphere Snow and Ice Analysis at 4 km and 24 km Resolution and NOAA Operational Daily Snow Cover Analysis pages at http://nsidc.org for more information.) The weekly version of this product is the basis for the subject data set. Studies cited in Dye (2002) note that the NOAA snow charts have limitations because they are created using visible band imagery. For example, the snow cover can be difficult to detect due to 'low solar illumination and high solar zenith angles, dense forest cover and cloud cover'. According to Dye, these limitations reduce the reliability of the data set more significantly for local or regional scale studies than for global analyses.
This study did not incorporate direct validation techniques, because there is not a practical way to validate broad scale estimates of snow-covered area. Instead, the author used the relationship between the snow cover cycle and the snow-covered area as an alternative method for assessing validity of the data, stating that 'a strong correlation between interannual fluctuations in SCA [snow covered area] and WLS, WFS and DSF can provide additional confidence in results from the snow-cover cycle analysis.' See Dye (2002) for more information.
The NOAA snow product has been widely used in climate studies, but it is important to note that it is an operational product. That is, it is produced in near real time to meet operational needs, and may have inconstancies that render it unsuitable for climatological studies. Work done at the Rutgers University Climate Laboratory Global Snow Lab addresses these inconsistencies.These data are freely, openly, and fully accessible without restrictions.These data are freely, openly, and fully available to use without restrictions, provided that you cite the data according to the recommended citation at https://nsidc.org/about/use_copyright.html.EnglishNOAANOAANational Oceanic and Atmospheric Administrationhttp://nsidc.org/noaa/Data Center ContactNOAAUser Servicesnsidc@nsidc.org1-303-492-61991-303-492-2468National Snow and Ice Data CenterCIRES, 449 UCBUniversity of ColoradoBoulderCO80309-0449USAFTP40 KBBinaryFTP951 KBASCIIDye, D.G. 2002. Variability and trends in the annual snow-cover cycle in Northern Hemisphere land areas, 1972-2000. Hydrological Processes 16: 3065-3077.
Robinson, D.A., Dewey, K.F., and R.R. Heim Jr. 1993. Global snow cover monitoring: an update. Bulletin of the American Meteorological Society 74: 1689-1696.
Robinson, D.A. Frei, A. and M. C. Serreze. 1995. Recent variations and regional relationships in Northern Hemisphere snow cover. Annals of Glaciology 21:71-76.This data set comprises a time series of annual snow cover data for the Northern Hemisphere (covering land primarily above 45 degrees North) from 1972 to 2000. Data are presented for land areas that exhibited snow cover in each of the 29 years. Variables are the week of snow disappearance, the week of snow cover onset, and the duration of the snow-free period. In addition, summary statistics for each parameter are provided. These are grids of the mean and the standard deviation for the three parameters.VIEW RELATED INFORMATIONhttps://doi.org/10.7265/N5F18WNCDocumentationGET DATAhttps://noaadata.apps.nsidc.org/NOAA/G02168/HTTPSCEOS IDN DIFVERSION 9.92005-12-212023-06-28NSIDCVersion SummaryNSIDCMinor VersionNSIDCCurrent Version1NSIDCLevel of ServiceStandardNSIDCFull Dataset CitationDye, D. 2005. <i>Timing and Statistics of Autumn and Spring Annual Snow Cover for the Northern Hemisphere, 1972 to 2000.</i> [indicate subset used]. Boulder, Colorado USA: National Snow and Ice Data Center. <a href="https://doi.org/10.7265/N5F18WNC">https://doi.org/10.7265/N5F18WNC</a>. [Date Accessed].NSIDCRetiredfalseNSIDCRelated Servicesapplication/vnd.nasa.cmr.umm+jsonfalsejroebuckmmt_service_32962S2721063021-NSIDCV0NSIDCV01service2023-06-27T14:22:11.750Zhttps://noaadata.apps.nsidc.org/NSIDCV0_NOAA_Data_HTTPS_File_SystemNOT PROVIDED1NOAA@NSIDC HTTPS File SystemAccess and download NOAA@NSIDC data using a web browser, or through a command line utility such as WGET, or using programming languages such as R or Python.https://nsidc.org/data/user-resources/help-center/how-access-and-download-noaansidc-dataVIEW RELATED INFORMATIONNOAA@NSIDC HTTPS Access GuidePublicationURLUSER SERVICESNSIDC User ServicesEmailnsidc@nsidc.orgDATA ACCESS/RETRIEVALDATA MANAGEMENT/DATA HANDLINGEARTH SCIENCE SERVICESThis is the most current release of this service.AUTHORDEVELOPERPUBLISHERSERVICE PROVIDERNational Oceanic and Atmospheric Administration at the National Snow and Ice Data CenterNSIDC_NOAAhttps://cdn.earthdata.nasa.gov/umm/service/v1.4UMM-S1.4https://noaadata.apps.nsidc.org/NOAA/G02168/