Time series of Antarctic upper air and surface temperature and their trends at eight Antarctic stations.

• Other Authors: SIMMONDS, IAN (hasPrincipalInvestigator), SIMMONDS, IAN (processor), SCREEN, JAMES (hasPrincipalInvestigator), SCREEN, JAMES (processor), GOVEKAR, PALLAVI (hasPrincipalInvestigator), GOVEKAR, PALLAVI (processor), Australian Antarctic Data Centre (publisher)
• Format: Dataset
• Language: unknown
• Published: Australian Antarctic Data Centre
• Subjects: climatologyMeteorologyAtmosphere; SURFACE TEMPERATURE; EARTH SCIENCE; ATMOSPHERE; ATMOSPHERIC TEMPERATURE; UPPER AIR TEMPERATURE; Trends; RADIOSONDES; GEOGRAPHIC REGION > POLAR; CONTINENT > ANTARCTICA; Amundsen-Scott; Antarctic; Mirny; Antarc*; Antarctica
• Online Access: https://researchdata.ands.org.au/time-series-antarctic-antarctic-stations/699026; https://doi.org/10.4225/15/55A47250CE4C8; https://data.aad.gov.au/metadata/records/AAS_4080_Temperature_Trends; http://nla.gov.au/nla.party-617536

The project will use all available upper air and surface temperature data from the IGY (1957) to present to determine the vertical and seasonal characteristics of Antarctic temperature change. Sophisticated meteorological analyses will then be exploited to diagnose the changes in the southward atmospheric transport of energy to ascertain to what extent Antarctic trends can be seen as a response to large-scale atmospheric transport changes. These analyses will be complemented by climate model simulations designed to identify the key causes of the temperature changes. Time series of Antarctic upper air and surface temperature and their trends at eight Antarctic stations. The raw data are taken from various 'homogenised' radiosonde data sets and several 'reanalysis' products. File names are self explanatory (taken in concert with following information). All files are NetCDF: Raw data from station datasets The data are indexed as follows: Seasons: 0 = DJF, 1 = MAM, 2 = JJA, 3 = SON Datasets: 0 = IUK, 1 = HadAT2, 2 = RAOBCORE, 3 = RICH-obs, 4 = RICH-tau, 5 = READER Stations: 0 = Amundsen Scott, 1 = Halley, 2 = Novolazarevskaya, 3 = Mawson, 4 = Davis, 5 = Mirny, 6 = Casey, 7 = McMurdo Levels and years are self-descriptive, but note the 1000 hPa level is actually surface data (only available for READER). The time-series currently run from 1961-2010. I am sending files for Reanalysis data in following email. Cheers, Pallavi Reanalysis data spatially interpolated to Antarctic station locations Datasets: 0=ERA-I, 1=JRA55, 2=NCEP-DOE II, 3=CFSR, 4=MEERA Stations: 0 = Amundsen Scott, 1 = Halley, 2 = Novolazarevskaya, 3 = Mawson, 4 = Davis, 5 = Mirny, 6 = Casey, 7 = McMurdo Levels: 850, 700, 500, 300, 200, 150, 100, 50, 30 Years: 1979-2008 Trend analyses Each file has 6(station datasets)+5 (reanalysis datasets)=11 variables. For example, file 'trend_djf_Mawson.nc ' have following data in it. ncdump -h trend_djf_Mawson.nc netcdf trend_djf_Mawson { dimensions: lev = UNLIMITED // (9 currently) variables: int lev(lev) string lev:name = "lev" float IUK_trend(lev) string IUK_trend:name = "IUK_trend" IUK_trend:_FillValue = 9990.f float HadAT2_trend(lev) string HadAT2_trend:name = "HadAT2_trend" HadAT2_trend:_FillValue = 9990.f float RAOBCORE_trend(lev) string RAOBCORE_trend:name = "RAOBCORE_trend" RAOBCORE_trend:_FillValue = 9990.f float RICH_obs_trend(lev) string RICH_obs_trend:name = "RICH_obs_trend" RICH_obs_trend:_FillValue = 9990.f float Rich_tau_trend(lev) string Rich_tau_trend:name = "Rich_tau_trend" Rich_tau_trend:_FillValue = 9990.f float Reader_trend(lev) string Reader_trend:name = "Reader_trend" Reader_trend:_FillValue = 9990.f float erai_trend(lev) string erai_trend:name = "erai_trend" erai_trend:_FillValue = 9.96921e+37f float jra55_trend(lev) string jra55_trend:name = "jra55_trend" jra55_trend:_FillValue = 9.96921e+37f float ncep2_trend(lev) string ncep2_trend:name = "ncep2_trend" ncep2_trend:_FillValue = 9.96921e+37f float cfsr_trend(lev) string cfsr_trend:name = "cfsr_trend" cfsr_trend:_FillValue = 9.96921e+37f float meera_trend(lev) string meera_trend:name = "meera_trend" meera_trend:_FillValue = 9.96921e+37f // global attributes: string :creation_date = "Tue Jun 9 15:07:55 AEST 2015" string :source_file = "trend_djf_Mawson.nc" string :title = "NCL generated netCDF file with multiple unlimited dimensions" }