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.

This geostationary land surface temperature (LST) collection was retrieved using Himawari/AHI observations and calibrated against MODerate-resolution Imaging Spectroradiometer (MODIS) best-quality retrievals for Australia. It was developed under an academic collaboration between the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). It has a spatial resolution of 2 km and temporal frequency of 10 min, and has been periodically updated since its inception in July 2015. This record has a temporal length of 8.5 years (i.e., Jul 2015 - Dec 2023) and the subsequent updates will be published annually.

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.

Temperature annual range for the Australian continent. Modelled using eMAST-R-Package 2.0