데이터셋 상세
호주
Monthly mean minimum/maximum temperature
A series of grid surfaces delineating mean minimum or maximum temperatures (Degree Celsius, C) is calculated for individual months for land areas across Tasmania at a spatial resolution of 30m. Seventy-two datasets are available for this parameter representing recent climate to: 2018 (min_avg_jan, min_avg_feb, min_avg_mar, min_avg_apr, min_avg_may, min_avg_jun, min_avg_jul, min_avg_aug, min_avg_sep, min_avg_oct, min_avg_nov, min_avg_dec, max_avg_jan, max_avg_feb, max_avg_mar, max_avg_apr, max_avg_may, max_avg_jun, max_avg_jul, max_avg_aug, max_avg_sep, max_avg_oct, max_avg_nov, max_avg_dec) and projected climate - based on Climate Futures for Tasmania (CFT) modelling at: 2030 (min_avg_jan_2030, min_avg_feb_2030, min_avg_mar_2030, min_avg_apr_2030, min_avg_may_2030, min_avg_jun_2030, min_avg_jul_2030, min_avg_aug_2030, min_avg_sep_2030, min_avg_oct_2030, min_avg_nov_2030, min_avg_dec_2030, max_avg_jan_2030, max_avg_feb_2030, max_avg_mar_2030, max_avg_apr_2030, max_avg_may_2030, max_avg_jun_2030, max_avg_jul_2030, max_avg_aug_2030, max_avg_sep_2030, max_avg_oct_2030, max_avg_nov_2030, max_avg_dec_2030); 2050 (min_avg_jan_2050, min_avg_feb_2050, min_avg_mar_2050, min_avg_apr_2050, min_avg_may_2050, min_avg_jun_2050, min_avg_jul_2050, min_avg_aug_2050, min_avg_sep_2050, min_avg_oct_2050, min_avg_nov_2050, min_avg_dec_2050, max_avg_jan_2050, max_avg_feb_2050, max_avg_mar_2050, max_avg_apr_2050, max_avg_may_2050, max_avg_jun_2050, max_avg_jul_2050, max_avg_aug_2050, max_avg_sep_2050, max_avg_oct_2050, max_avg_nov_2050, max_avg_dec_2050). For definitions relating to the dataset names (listed in brackets above) refer to the dataset inventory: https://nrmdatalibminry.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Inventory_DCM_Tas.pdf
데이터 정보
연관 데이터
Monthly average rainfall
공공데이터포털
A series of grid surfaces delineating average rainfall (mm) calculated for individual months for land areas across Tasmania at a spatial resolution of 30m. Thirty-six datasets are available for this parameter representing recent climate to:,
Monthly 1976-2005 mean daily minimum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage
공공데이터포털
Monthly mean daily minimum temperature for the Australian continent between 1976-2005. Daily minimum temperature regulates rates of plant growth. Modelled by fitting trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation to observed and estimated monthly 1976-2005 daily minimum temperature means at 1541 Bureau of Meteorology stations. Missing monthly temperature values were estimated by regression with the long term station that provided estimates of the 1976-2005 monthly means with with the least standard error. This was applied to each station with at least 5 years of record between 1921 and 2012. Quality controls were applied to the regression and the surface fitting processes to remove poor quality data. Thus, of 1597 stations with at least 5 years of record, 38 stations had poor regressions with long term stations and a further 18 stations had extreme studentised residuals from initial spline analyses. These were commonly stations with an old or short period of record, or with an imprecise location. The spline analysis also incorporated the impact of distance from the coast as provided by eMAST_ANUClimate_fx_dist_v1m0. The root mean square error of individual cross validation residuals provided by the spline analysis at 225 stations with near complete records, of at least 28 years, is 0.47 degrees Celsius. The incorporation of distance from the coast reduced overall cross validation errors by around 10%. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly mean daily minimum temperature grids is in preparation.
Monthly daily minimum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2016
공공데이터포털
Mean daily minimum temperature of each month, for the Australian continent between 1970-2016. Daily temperature regulates rates of plant growth and determines critical conditions such as frost on flowering and fruiting. Modelled by expressing each monthly value as a difference anomaly with respect to the gridded 1976-2005 mean daily minimum temperature for each month as provided by ANUClimate_v1-0_temperature-min_monthly-mean_0-01deg_1976-2005. The monthly anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. Monthly data values were calculated from Bureau of Meteorology daily data at stations where there were at least 25 days of record, giving an average of 634 data points per month between 1970 and 2016. Automated quality assessment rejected on average 2 data values per month with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 0.73 degrees Centigrade. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated grids is in preparation.
Daily minimum temperature: ANUClimate 1.1, 0.01 degree, Australian Coverage, 1970-2014
공공데이터포털
Daily minimum for the Australian continent between 1970-2014. Daily minimum temperature regulates rates of plant growth and determines critical conditions such as the impact of frost on flowering and fruiting. Modelled by expressing each daily value as a difference anomaly with respect to the gridded 1976-2005 monthly mean daily minimum temperatures as provided by eMAST_ANUClimate_mmn_tmin_v1m0_1976_2005. The daily anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. There was an average of 673 Bureau of Meteorology data points available for each day between 1970 and 2014. Automated quality assessment rejected on average 1.3 data values per day with extreme studentised residuals. These were commonly associated with days following missing observations. Cross validation residuals for all accepted data points had a mean absolute value of 1.14 degrees Celsius and a root mean square value of 1.53 degrees Celsius. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated daily minimum temperature grids is in preparation.
Monthly 1976-2005 mean daily maximum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage
공공데이터포털
Monthly mean daily maximum temperature for the Australian continent between 1976-2005. Daily maximum temperature regulates rates of plant growth. Modelled by fitting trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation to observed and estimated monthly 1976-2005 daily maximum temperature means at 1541 Bureau of Meteorology stations. Missing monthly temperature values were estimated by regression with the long term station that provided estimates of the 1976-2005 monthly means with with the least standard error. This was applied to each station with at least 5 years of record between 1921 and 2012. Quality controls were applied to the regression and the surface fitting processes to remove poor quality data. Thus, of 1597 stations with at least 5 years of record, 38 stations had poor regressions with long term stations and a further 18 stations had extreme studentised residuals from initial spline analyses. These were commonly stations with an old or short period of record, or with an imprecise location. The spline analysis also incorporated the impact of distance from the coast as provided by eMAST_ANUClimate_fx_dist_v1m0. The root mean square error of individual cross validation residuals provided by the spline analysis at 225 stations with near complete records, of at least 28 years, is 0.47 degrees Celsius. The incorporation of distance from the coast reduced overall cross validation errors by around 10%. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly mean daily maximum temperature grids is in preparation.
Monthly daily maximum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2016
공공데이터포털
Mean daily maximum temperature of each month, for the Australian continent between 1970-2016. Daily temperature regulates rates of plant growth and determines critical conditions such as frost on flowering and fruiting. Modelled by expressing each monthly value as a difference anomaly with respect to the gridded 1976-2005 mean daily maximum temperature for each month as provided by ANUClimate_v1-0_temperature-max_monthly-mean_0-01deg_1976-2005. The monthly anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. Monthly data values were calculated from Bureau of Meteorology daily data at stations where there were at least 25 days of record, giving an average of 634 data points per month between 1970 and 2016. Automated quality assessment rejected on average 2 data values per month with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 0.73 degrees Centigrade. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated grids is in preparation.
Mean annual number of frost days
공공데이터포털
A grid surface delineating the mean number of frost days (below 0 Degree Celsius, C) for land areas across Tasmania at a spatial resolution of 30m. Three datasets are available for this parameter representing recent climate to 2018 (fr_lt0_mean) and projected climate - based on Climate Futures for Tasmania (CFT) modelling - at 2030 (fr_lt0_mean_2030) and 2050 (fr_lt0_mean_2050).
Annual 1976-2005 mean minimum temperature of coldest month: eMAST-R-Package 2.0, 0.01 degree, Australian Coverage
공공데이터포털
Annual mean minimum temperature of coldest month for the Australian continent for the baseline climatic average of monthly 1976-2005 data. Modelled using eMAST-R-Package 2.0
Minimum temperature of coldest month: eMAST-R-Package 2.0, 0.01 degree, Australian Coverage, 1970-2012
공공데이터포털
Minimum temperature of coldest month for the Australian continent. Modelled using eMAST-R-Package 2.0
목록