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Grant Award View - GA68842-V7
Will an improved land surface model enhance seasonal prediction of...
GA ID:
GA68842-V7
Agency:
Australian Research Council
Approval Date:
19-Dec-2019
Variation Publish Date:
28-Sep-2022
Variation Date:
27-Sep-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
18-Dec-2020 to 3-Jul-2025
Value (AUD):
$385,794.00
(GST inclusive where applicable)
Varies:
GA68842
- Will an improved land surface model enhance seasonal prediction of drought?
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Will an improved land surface model enhance seasonal prediction of drought?
Purpose:
This project aims to increase the predictability of seasonal droughts that cause major socio-economic losses in rural Australia. The capacity to predict drought, and in particular its impacts on the land, is currently limited by the low skill of forecast models. Using novel observations, the project expects to quantify the vulnerability of Australian agricultural lands to seasonal droughts. The new knowledge will then be used to modify land processes in the Bureau of Meteorology’s seasonal prediction system to better reflect Australian conditions. This project is expected to improve forecasts of high impact droughts, crucial to mitigate socio-economic risks, and should benefit decision-making in agriculture and other industries.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2020
Internal Reference ID:
DE20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of New South Wales
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2033
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2033
Country:
AUSTRALIA