Dry runs: longest number of consecutive dry days (with <1mm rainfall)

This metadata is associated with an environmental raster layer describing the longest number of consecutive days with <1mm rainfall across Australia (further description below). The layer was created by Alejandra Morán-Ordóñez in 2015 as part of a project on modelling species responses to extreme weather. A paper associated with this project is currently in press & this metadata will be updated to reflect the availability of the original data when the article is published.<div><br><div>This project used a clipped version of the original data, focused on the Central Highlands Regional Forest Agreement Area of Victoria, Australia. The original raster was created as follows: "Interpolated daily and monthly climate data at 0.05° spatial resolution (~ 5-km) were obtained from the Australian Water Availability Project for the period 1977 – 2012 (Raupach et al. 2009, 2012). Temperature data were corrected with an adiabatic lapse rate of 0.00645°C m-1 (Moore 1956, Sturman and Tapper 1996) from the original 0.05° values to a resolution of 0.01° (~1 km) based on a digital elevation model (DEM) resampled from its original 0.0025° to 0.01° resolution (GEODATA 9-second DEM v.3, Geoscience Australia). [...]  From the daily weather data we calculated [...] indices describing [...] the maximum length of dry spells (maximum run of sequential dry days; rainfall < 1mm)[...]" </div><div><div>From Morán-Ordóñez, A., Briscoe, N. J., & Wintle, B. A. (2017). Modelling species responses to extreme weather provides new insights into constraints on range and likely climate change impacts for Australian mammals. <i>Ecography</i>.</div></div></div

T95: 95th percentile of warmest temperatures

This metadata is associated with an environmental raster layer describing the 95th percentile of maximum temperatures across Australia (further description below). The layer was created by Alejandra Morán-Ordóñez in 2015 as part of a project on modelling species responses to extreme weather. A paper associated with this project is currently in press & this metadata will be updated to reflect the availability of the original data when the article is published.<div><br><div>This project used a clipped version of the original data, focused on the Central Highlands Regional Forest Agreement Area of Victoria, Australia. The original raster was created as follows: "Interpolated daily and monthly climate data at 0.05° spatial resolution (~ 5-km) were obtained from the Australian Water Availability Project for the period 1977 – 2012 (Raupach et al. 2009, 2012). Temperature data were corrected with an adiabatic lapse rate of 0.00645°C m-1 (Moore 1956, Sturman and Tapper 1996) from the original 0.05° values to a resolution of 0.01° (~1 km) based on a digital elevation model (DEM) resampled from its original 0.0025° to 0.01° resolution (GEODATA 9-second DEM v.3, Geoscience Australia). [...]  From the daily weather data we calculated [...] indices describing the magnitude of temperature extremes (5th and <b>95th percentile temperatures</b> for minimum and <b>maximum daily temperatures</b>, respectively) [...]" <div>From Morán-Ordóñez, A., Briscoe, N. J., & Wintle, B. A. (2017). Modelling species responses to extreme weather provides new insights into constraints on range and likely climate change impacts for Australian mammals. <i>Ecography</i>.<br></div></div></div

T5: 5th percentile of minimum temperatures

This metadata is associated with an environmental raster layer describing the 5th percentile of minimum temperatures across Australia (further description below). The layer was created by Alejandra Morán-Ordóñez in 2015 as part of a project on modelling species responses to extreme weather. A paper associated with this project is currently in press & this metadata will be updated to reflect the availability of the original data when the article is published.<div><br><div>This project used a clipped version of the original data, focused on the Central Highlands Regional Forest Agreement Area of Victoria, Australia. The original raster was created as follows: "Interpolated daily and monthly climate data at 0.05° spatial resolution (~ 5-km) were obtained from the Australian Water Availability Project for the period 1977 – 2012 (Raupach et al. 2009, 2012). Temperature data were corrected with an adiabatic lapse rate of 0.00645°C m-1 (Moore 1956, Sturman and Tapper 1996) from the original 0.05° values to a resolution of 0.01° (~1 km) based on a digital elevation model (DEM) resampled from its original 0.0025° to 0.01° resolution (GEODATA 9-second DEM v.3, Geoscience Australia). [...]  From the daily weather data we calculated [...] indices describing the magnitude of temperature extremes (<b>5th</b> and 95th <b>percentile temperatures for minimum</b> and maximum <b>daily temperatures</b>, respectively) [...]" <div><div>From Morán-Ordóñez, A., Briscoe, N. J., & Wintle, B. A. (2017). Modelling species responses to extreme weather provides new insights into constraints on range and likely climate change impacts for Australian mammals. <i>Ecography</i>.</div></div></div></div