A statewide grid surface (80m spatial resolution) delineating Chill Hours (CHR) accumulation across the state of Tasmania is produced daily for the Tasmanian winter season. Chill Hours is calculated as the number of hours where air temperature is between 0-7C for the period: 1 May to 31 August. The outputs are dynamic with the map products updated daily. Three map products are produced: 1) Chill Hours Accumulation Tracker - Current Season: CHR accumulation to date (refer to link below) for the current growing season (updated daily) 2) Chill Hours Accumulation Tracker - 10yr Average: CHR accumulation to date (refer to link below) based on the 10 year average (i.e. averaged CHR units garnered from data 10 years prior to the current growing season; updated daily) 3) Chill Hours Anomaly - Current Season vs 10yr Average: The difference between 1) and 2) where positive values indicate that the current growing season is cooler relative to the 10 year average, negative values indicate a warmer season. Map outputs are based on daily records produced from 43 Bureau of Meteorology (BoM) Automatic Weather Station sites with further bias correction provided by 267 independent air temperature logger recording sites (courtesy of the Tasmanian Government Department of Natural Resources and Environment (NRE)). For operational real-time application, the mapping was fully automated in the R programming language and hosted on a cloud-based computing platform courtesy of the high performance computing cluster provided by the Tasmanian Partnership of Advanced Computing (TPAC) of the University of Tasmania. Refer to the following link for details of the latest map updates: https://sdi.tas-hires-weather.cloud.edu.au/shiny/

A statewide grid surface (80m spatial resolution) delineating recent accumulated rainfall (millimetres since 9am) across Tasmania is produced in near real-time. The outputs are dynamic with maps updated at hourly intervals (there is a production time lag where outputs typically take 30 minutes to be produced from the true observation time). Refer to the following link for details of the latest map updates: https://sdi.tas-hires-weather.cloud.edu.au/shiny/ Map outputs are based on records produced from Bureau of Meteorology (BoM) Automatic Weather Station and Rain Gauge sites, in addition to Tasmanian government rain gauge and thrid party weather station sites. For operational real-time application, the mapping was fully automated in the R programming language and hosted on a cloud-based computing platform - via the high performance computing cluster provided by the Tasmanian Partnership of Advanced Computing (TPAC) of the University of Tasmania.

A statewide grid surface (80m spatial resolution) delineating recent air temperature (Degree Celsius, oC) of Tasmania is produced in near real-time. The outputs are dynamic with air temperature maps updated at half-hourly intervals (there is a production time lag where outputs typically take 30 minutes to be produced from the true observation time). Refer to the following link for details of the latest map updates: https://sdi.tas-hires-weather.cloud.edu.au/shiny/ Map outputs are based on records produced from 43 Bureau of Meteorology (BoM) Automatic Weather Station sites with further bias correction provided by 267 independent air temperature logger recording sites (courtesy of the Tasmanian Government Department of Primary Industries, Parks, Water and Environment (DPIPWE)). For operational real-time application, the mapping was fully automated in the R programming language and hosted on a cloud-based computing platform courtesy of Sense-T and hosted on the high performance computing cluster provided by the Tasmanian Partnership of Advanced Computing (TPAC) of the University of Tasmania.

A grid surface (80m spatial resolution) delineating a Soil Dryness Index (SDI) across the state of Tasmania is produced daily. Soil Dryness is estimated based on the calculation prescribed in Mount (1972) with input data provided from high resolution daily maximum temperature and accumulated rainfall grids. Refer to the following link for details of the latest map updates: https://sdi.tas-hires-weather.cloud.edu.au/shiny/ For operational real-time application, the mapping was fully automated in the R programming language and hosted on a cloud-based computing platform - via the high performance computing cluster provided by the Tasmanian Partnership of Advanced Computing (TPAC) of the University of Tasmania.

A collection of high-resolution climate grid surfaces for land areas in Tasmania based on Climate Futures For Tasmania projection modelling. There are 152 climate products available that delineate temperature and rainfall parameters specific to crop growing requirements that form part of the enterprise suitability mapping program (refer here: https://dpipwe.tas.gov.au/agriculture/investing-in-irrigation/enterprise-suitability-toolkit/enterprise-suitability-maps). Broadly speaking these products include climate risk parameters including frost risk, heat risk and extreme rainfall risk as well as crop related indices including growing degree days and chill hours. Furthermore, mean monthly climate variables including mean monthly maximum/minimum air temperature and rainfall products are also produced. Refer here for dataset inventory: https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Inventory_DCM_Tas.pdf Climate Futures Tasmania (CFT) projections were incorporated into the modelling framework to simulate projected climate (according to the RCP 8.5 scenario) for years 2030 and 2050. These projections were downscaled, and bias corrected to a spatial grid resolution of 30m. Also, note that these outputs relate to the baseline climate maps defined here: https://www.thelist.tas.gov.au/app/content/data/geo-meta-data-record?detailRecordUID=ba62f124-5906-4471-a01c-9b57b6142055 All products can be accessed via Web Map Service: https://spatial.dpipwe.tas.gov.au/naturalassets/Climate/wms Or viewed in the following Web Map application: https://arcg.is/vaHDG

This data set contains the weather station names and numbers and associated climate data for stations in Tasmania with records longer than 15 years. The field names are as follows: STN_NUM Bureau unique identifierPR_NAME NameLAT Latitude; decimal degrees (south -ve)LON Longitude; decimal degreesSTN_HT Station heigth AMSL; metresFirstRainYear First year with rainfall dataLastRainYear Last year with rainfall dataAvgAnnRain Mean annual rainfall over all available record; millimetresMedianAnnRain Median annual rainfall over all available record; millimetresAvgRainDays Mean annual raindays over all available record. A rain day is one with measurable (less than 0.1mm) precipitation that cannot be ascribed solely to dew, fog or frost.FirstSfcYear First year with surface (not rainfall) dataLastSfcYear Last year with surface (not rainfall) dataAvgMax Mean of daily maximum temperature; 0CHottest Highest temperature recorded; 0CAvgMin Mean of daily minimum temperature; 0CColdest Lowest temperature recorded; 0CAvg9amT Mean temperature at 9am; 0CAvg9amRH Mean relative humidity at 9am; %AvgClearDays Mean number of clear days per year.AvgCldDays Mean number of cloudy days per year.

This collection provides hourly near-surface (1.5 m) air temperature grids for Australia with a spatial resolution of 1 km. These data are spatially interpolated using quart-variate thin plate splines (full spline dependence on easting, northing, elevation, and time-varying coastal distance index), and include two key products: i) a long term climatology for every hour on every 5th day of the year (representing 1990-2019), and ii) a time-series of hourly air temperature data beginning on 01/Jan/2015.

This dataset provides Daymet Version 4 R1 monthly climate summaries derived from Daymet Version 4 R1 daily data at a 1 km x 1 km spatial resolution for five Daymet variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Monthly averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and monthly totals are provided for the precipitation variable. Each data file is yearly by variable with 12 monthly time steps and covers the same period of record as the Daymet V4 R1 daily data. The monthly climatology files are derived from the larger datasets of daily weather parameters produced on a 1 km x 1 km grid for North America, Hawaii, and Puerto Rico. Separate monthly files are provided for the land areas of continental North America (Canada, the United States, and Mexico), Hawaii, and Puerto Rico. Data are distributed in standardized Climate and Forecast (CF)-compliant netCDF (*.nc) and Cloud-Optimized GeoTIFF (*.tif) formats. In Version 4 R1 (ver 4.1), all 2020 and 2021 files (60 total) were updated to improve predictions especially in high-latitude areas. It was found that input files used for deriving 2020 and 2021 data had, for a significant portion of Canadian weather stations, missing daily variable readings for the month of January. NCEI has corrected issues with the Environment Canada ingest feed which led to the missing readings. The revised 2020 and 2021 Daymet V4 R1 files were derived with new GHCNd inputs. Files outside of 2020 and 2021 have not changed from the previous V4 release.