64 DROUGHT-AWAP-GRIDS

	Project metadata
Project Title	DROUGHT-AWAP-GRIDS
Owners	Ivan Hanigan
Project Abstract	To understand the drought indices review the technical appendix from the following paper: https://github.com/ivanhanigan/DrynessAndMentalHealth/blob/master/OBrien2014EnvRes_SI.pdf in which the count and sums drought indices are explained in detail (note that the newer count2 and sums2 indices were something Mike Hutchinson created for a PNAS paper and uses a different threshold level to break the drought than the original version), also check out the O’Brien paper which has some good ideas about re-expressions of the indices to capture things like re-occurring cycles of drought and long dry spells vs recent dry periods. Note that the sums index gets more negative the worse the drought is. Counts become more larger (positive) numbers as droughts continue. The count index a measure of duration whereas the sums index is a measure of severity. For the drought index please cite the original 1992 paper by Hutchinson as: Smith, D. I, Hutchinson, M. F, & McArthur, R. J. (1992) Climatic and Agricultural Drought: Payments and Policy. (Centre for Resource and Environmental Studies, Australian National University, Canberra, Australia). http://fennerschool-research.anu.edu.au/spatio-temporal/publications/cres_paper1992.pdf and my software repository as: Hanigan, IC. 2012. The Hutchinson Drought Index Algorithm [Computer Software]. https://github.com/ivanhanigan/HutchinsonDroughtIndex For the input rainfall data I would recommend citing like this: We utilized the gridded meteorological datasets for Australia from the Australian Water Availability Project (AWAP), a partnership of the Australian Bureau of Meteorology, Bureau of Rural Sciences, and CSIRO. These data are estimated for each pixel of a grid with a resolution of 0.05 x 0.05 decimal degrees (approximately five x five kilometres) using a spatial model (Jones et al 2009, Australian Water Availability Project n.d). We used an open source R package to download and format the AWAP grids (Hanigan et al 2016) and rescaled the rainfall data to localities by averaging the pixels over the locality polygons, based on spatial data from the Public Sector Mapping Agency (PMSA).

Project metadata

Project Title

DROUGHT-AWAP-GRIDS

Owners

Ivan Hanigan

Project Abstract

To understand the drought indices review the technical appendix from the following paper:

https://github.com/ivanhanigan/DrynessAndMentalHealth/blob/master/OBrien2014EnvRes_SI.pdf in which the count and sums drought indices are explained in detail (note that the newer count2 and sums2 indices were something Mike Hutchinson created for a PNAS paper and uses a different threshold level to break the drought than the original version), also check out the O’Brien paper which has some good ideas about re-expressions of the indices to capture things like re-occurring cycles of drought and long dry spells vs recent dry periods.

Note that the sums index gets more negative the worse the drought is. Counts become more larger (positive) numbers as droughts continue. The count index a measure of duration whereas the sums index is a measure of severity.

For the drought index please cite the original 1992 paper by Hutchinson as:

Smith, D. I, Hutchinson, M. F, & McArthur, R. J. (1992) Climatic and

Agricultural Drought: Payments and Policy. (Centre for Resource and Environmental

Studies, Australian National University, Canberra, Australia).

http://fennerschool-research.anu.edu.au/spatio-temporal/publications/cres_paper1992.pdf

and my software repository as:

Hanigan, IC. 2012. The Hutchinson Drought Index Algorithm [Computer Software].

https://github.com/ivanhanigan/HutchinsonDroughtIndex

For the input rainfall data I would recommend citing like this:

We utilized the gridded meteorological datasets for Australia from the Australian Water Availability Project (AWAP), a partnership of the Australian Bureau of Meteorology, Bureau of Rural Sciences, and CSIRO. These data are estimated for each pixel of a grid with a resolution of 0.05 x 0.05 decimal degrees (approximately five x five kilometres) using a spatial model (Jones et al 2009, Australian Water Availability Project n.d). We used an open source R package to download and format the AWAP grids (Hanigan et al 2016) and rescaled the rainfall data to localities by averaging the pixels over the locality polygons, based on spatial data from the Public Sector Mapping Agency (PMSA).

64.1 Drought_and_ABS_SA2_16

Accessibility	Provision Status	Licence
CARDAT	Published	other

	Metadata fields
Short Name	Drought_and_ABS_SA2_16
Title	Drought_and_ABS_SA2_16
Creators	Ivan Hanigan
Contact Email	car.data@sydney.edu.au
Abstract	The Drought_and_ABS_SA2_16 dataset focused on understanding drought indices, combines drought index data with ABS SA2 regions. This dataset provides detailed information on drought indices calculated using the Hutchinson Drought Index algorithm. It includes data on drought severity and duration, allowing for comprehensive assessments of drought conditions within specific ABS SA2 regions in Australia.
Study Extent
Associated Parties
Repository Path	Environment_General/DROUGHT-AWAP-GRIDS/Drought_and_ABS_SA2_16
Repository Link	https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/DROUGHT-AWAP-GRIDS/Drought_and_ABS_SA2_16
External Link
Recommended Citation	Hanigan, I. (2019): Drought_and_ABS_SA2_16. Data derived from ABS SA2, AWAP data, and the Hutchinson Drought Index. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/DROUGHT-AWAP-GRIDS/Drought_and_ABS_SA2_16

64.2 Drought_and_LGAs_2016

Accessibility	Provision Status	Licence
Public	Published	CC BY 4.0

	Metadata fields
Short Name	Drought_and_LGAs_2016
Title	Drought_and_LGAs_2016
Creators	Ivan Hanigan
Contact Email	car.data@sydney.edu.au
Abstract	Drought data - both Hutchinson Drought Severity Index (HDSI), and Standardised Precipitation Index (SPI) derived from Australian Water Availability Project (AWAP) data, combined with ABS 2016 Local Government Areas. This is also published publicly here https://osf.io/5wq3f/ as part of the DROUGHT-AWAP-GRIDS project (https://osf.io/2xz65/).
Study Extent
Associated Parties	Australian Bureau of Statistics, Bureau of Meteorology, Christy Geromboux
Repository Path	Environment_General/DROUGHT-AWAP-GRIDS/Drought_and_LGA_2016
Repository Link	https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/DROUGHT-AWAP-GRIDS/Drought_and_LGAs_2016
External Link
Recommended Citation	Hanigan, I.C. (2019): Drought by 2016 Local Government Areas. Derived from ABS 2016 LGA data, and AWAP grid rainfall data. CAR. (Dataset). DOI 10.17605/OSF.IO/5WQ3F

64.3 Drought_National_Grids_1950_2020

Accessibility	Provision Status	Licence
CARDAT	Published	other

	Metadata fields
Short Name	Drought_National_Grids_1950_2020
Title	Drought_National_Grids_1950_2020
Creators	Cassandra Yuen
Contact Email	car.data@sydney.edu.au
Abstract	This dataset calculates the SPEI Drought Index from the gridded rainfall and temperature from Australia wide AWAP data (resolution of 0.05 degrees). The intermediary PET calculation uses the Thornthwaite method due to limited data availability. The temporal coverage is 1950-2020.
Study Extent	Australia
Associated Parties
Repository Path	Environment_General/DROUGHT-AWAP-GRIDS/Drought_National_Grids_1950_2020
Repository Link	https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/DROUGHT-AWAP-GRIDS/Drought_National_Grids_1950_2020
External Link
Recommended Citation	Yuen, C.I. (2021): SPEI Drought Index of gridded rainfall and temperature. Derived from AWAP grid rainfall and temperature data. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/DROUGHT-AWAP-GRIDS/Drought_National_Grids_1950_2020

64.4 Gridded Drought Data 1900-2015

Accessibility	Provision Status	Licence
NA	Published	No licence

	Metadata fields
Short Name	Gridded Drought Data 1900-2015
Title	Gridded Drought Data 1900-2015
Creators	Ivan Hanigan
Contact Email	car.data@sydney.edu.au
Abstract	This dataset used Hutchinson Drought Index algorithm and the AWAP data. It was published onto the OSF under the project title ‘Hutchinson Drought Index’. However it now makes more sense to re-publish here under the CARDAT project ‘DROUGHT-AWAP-GRIDS’.
Study Extent
Associated Parties
Repository Path	Environment_General/DROUGHT-AWAP-GRIDS/Gridded Drought Data 1900-2015
Repository Link	https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/DROUGHT-AWAP-GRIDS/Gridded Drought Data 1900-2015
External Link
Recommended Citation	Hanigan, I.C. Hutchinson, M.F. Porfirio, L. (2013): The Hutchinson Drought Index Database and Algorithm. The Open Science Framework. (Dataset). https://dx.doi.org/10.17605/OSF.IO/PYTS3