Verified Job
IT / Software / Data Analyst
Radar Data Assimilation Scientist
IT / Software / Data Analyst
#657403
Remote / WFH
Job Description
Broadband 3 (Research Scientists Only), Ongoing
$94,563 - $125,832 + 15.4% super
Melbourne, other capital city locations may be considered.
The successful applicant will join a dynamic team of scientists, post-docs and engineers in the Radar Science team of the Observations Assimilation and Data Science (OADS) Section within the Bureau's Research Program.
As part of the Asset Network Planning Forecast Model (ANP-FM) project, a major objective of the Radar Science team is to enhance the quality of radar observations and increase the impact of high-resolution assimilation of radar observations on the quality of convective-scale numerical weather forecasts. To address this objective, the Radar Science Team seeks a radar data assimilation (DA) expert to accelerate impact of ground-based radar data assimilation in our convective-scale forecast model (ACCESS-C, ACCESS-CE) and conduct state-of-the-art research on rapidly assimilating fresh sources of data through new and innovative data assimilation techniques based on ensemble weather forecasts, such as with the pre-emptive forecasting technique concept.
The ANP-FM project work involves the following work packages:
Development of improved quality control of radar observations, including KDP estimation, hydrometeor classification, and Doppler unfolding
Improvement of the reflectivity and Doppler assimilation from our operational radar network using the existing DA system.
Assessment of the potential impact of dual-polarization radar moment assimilation
Further development and transition to operations of the pre-emptive forecasting technique for improved rainfall forecasting, and later other model variables
Quantification of the impact of assimilating radar reflectivity profiles, including those from the operational radar network and synthetic radar reflectivity's derived from geostationary satellite and lightning network observations.
The ideal applicant would be a radar quality control and radar data assimilation expert with strong programming skills, but people with expertise in data assimilation (not specifically radar) will be considered. The selected applicant is expected to work closely with other scientists of the Radar Science and Data Assimilation teams.
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$94,563 - $125,832 + 15.4% super
Melbourne, other capital city locations may be considered.
The successful applicant will join a dynamic team of scientists, post-docs and engineers in the Radar Science team of the Observations Assimilation and Data Science (OADS) Section within the Bureau's Research Program.
As part of the Asset Network Planning Forecast Model (ANP-FM) project, a major objective of the Radar Science team is to enhance the quality of radar observations and increase the impact of high-resolution assimilation of radar observations on the quality of convective-scale numerical weather forecasts. To address this objective, the Radar Science Team seeks a radar data assimilation (DA) expert to accelerate impact of ground-based radar data assimilation in our convective-scale forecast model (ACCESS-C, ACCESS-CE) and conduct state-of-the-art research on rapidly assimilating fresh sources of data through new and innovative data assimilation techniques based on ensemble weather forecasts, such as with the pre-emptive forecasting technique concept.
The ANP-FM project work involves the following work packages:
Development of improved quality control of radar observations, including KDP estimation, hydrometeor classification, and Doppler unfolding
Improvement of the reflectivity and Doppler assimilation from our operational radar network using the existing DA system.
Assessment of the potential impact of dual-polarization radar moment assimilation
Further development and transition to operations of the pre-emptive forecasting technique for improved rainfall forecasting, and later other model variables
Quantification of the impact of assimilating radar reflectivity profiles, including those from the operational radar network and synthetic radar reflectivity's derived from geostationary satellite and lightning network observations.
The ideal applicant would be a radar quality control and radar data assimilation expert with strong programming skills, but people with expertise in data assimilation (not specifically radar) will be considered. The selected applicant is expected to work closely with other scientists of the Radar Science and Data Assimilation teams.
How to register:
If you have not registered with our online application system, you can create an account by clicking the ''Begin'' button.
Forgotten Your Login Details? click here and follow the steps.
Preview Application Form Opens in new window
