Research output per year
Research output per year
Personal profile
Biography
Dongqi Lin is an atmospheric scientist who obtained her PhD from the University of Canterbury (New Zealand) in August 2022. During her research career, Dongqi explored various subjects, including precipitation radar and microphysics, meteorological controls on radiation fog across micro- and meso-scales, and boundary layer dynamics and modelling. In April 2024, she joined Monash SEAE, where she shifts her focus to investigate the spatial characteristics of precipitation extremes.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Physics, PhD, University of Canterbury
Apr 2019 → Aug 2022
Award Date: 5 Oct 2022
Climate and Atmospheric Science, Master of Research, University of Leeds
Sept 2017 → Sept 2018
Award Date: 5 Oct 2018
Applied Mathematics and Meteorology, Bachelor of Science, University of Reading
Sept 2016 → Jun 2017
Award Date: 6 Jul 2017
Mathematics and Applied Mathematics, Bachelor of Science, Nanjing University of Information Science and Technology
Sept 2013 → Jun 2017
Award Date: 20 Jun 2017
External positions
Postdoctoral fellow, University of Canterbury
22 Aug 2022 → 15 Mar 2024
Research area keywords
- atmospheric dynamics
- precipitation
- Extreme Climate Events
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 6 Article
-
GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system
Lin, D., Zhang, J., Khan, B., Katurji, M. & Revell, L. E., 31 Jan 2024, In: Geoscientific Model Development. 17, 2, p. 815-845 31 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access4 Citations (Scopus) -
Fog type classification using a modified Richardson number for Christchurch, New Zealand
Lin, D., Katurji, M., Revell, L. E., Khan, B., Osborne, N., Soltanzadeh, I. & Kremser, S., Jan 2023, In: International Journal of Climatology. 43, 1, p. 314-330 17 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access9 Citations (Scopus) -
Investigating multiscale meteorological controls and impact of soil moisture heterogeneity on radiation fog in complex terrain using semi-idealised simulations
Lin, D., Katurji, M., Revell, L. E., Khan, B. & Sturman, A., 23 Nov 2023, In: Atmospheric Chemistry and Physics. 23, 22, p. 14451-14479 29 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access7 Citations (Scopus) -
The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: Description and demonstration of capability
Nathan, B., Kremser, S., Mikaloff-Fletcher, S., Bodeker, G., Bird, L., Dale, E., Lin, D., Olivares, G. & Somervell, E., 23 Sept 2021, In: Atmospheric Chemistry and Physics. 21, 18, p. 14089-14108 20 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access4 Citations (Scopus) -
Wrf4palm v1.0: A mesoscale dynamical driver for the microscale PALM model system 6.0
Lin, D., Khan, B., Katurji, M., Bird, L., Faria, R. & Revell, L. E., 6 May 2021, In: Geoscientific Model Development. 14, 5, p. 2503-2524 22 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access28 Citations (Scopus)