Selected Publications

Rainfall Estimates on a Gridded Network (REGEN) – A global land-based gridded dataset of daily precipitation from 1950–2013

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Recent Publications

Rainfall Estimates on a Gridded Network (REGEN) – A global land-based gridded dataset of daily precipitation from 1950–2013

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How much does it rain over land?

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How Well Do Gridded Datasets of Observed Daily Precipitation Compare over Australia?

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Selected Talks

Recent & Upcoming

Quantifying Changes in Observed Precipitation Distribution Globally
Dec 14, 2017 9:30 AM
Systematic Investigation Of Changes In Daily Rainfall And Its Extremes From 1958 To 2013 Across Australia
Feb 10, 2017 12:00 AM

Recent Posts

More Posts

Date Title Info 12 Feb 2019 Learn to Program using Julia A one day course on basic programming with Julia 29-30 Apr 2019 Spatio-Temporal Statistics with R An intense hands-on workshop on bayesian spatiatemporal modelling with R covering the contents of the spacetime with R book. The workshop was run by the Statistical Society of Australia Apr-May 2019 Bayesian Inference - Statistical Rethinking Study Group A weekly hands-on study group run over five weeks on bayesian modelling iwth R and python based on the original course Statistical Rethinking by Richard McElreath.

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The ARC Centres of Excellence for Climate Extremes (CLEX) and Convergent Bio-nano Science & Technology (CBNS) held an all day media training workshop today. The workshop consisted of a presentation on effective communication from Alvin in the morning. Then, just after lunch, we did practice interviews in front of a camera and other participants. The aim of this practice interview was to see if participants can deliver up to three key points, and communicate based on the Alvin’s principals.

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I attended the ARCCSS/CLEX winter school from 25th-29th June 2018. The theme of the winter school was climate extremes and so it involved lectures in the morning on various climate extremes (such as heatwaves and rainfall extremes) and also a group activity in the afternoons. The groups were tasked with producing analysis investigating one of five complex questions which are listed below. Project A: Examine the influence of modes of climate variability on temperature extremes over Australia Project B: Examine the influence of modes of climate variability on precipitation extremes over Australia Project C: Examine the role of soil moisture preconditioning on the frequency and/or intensity of heatwaves Project D: Examine changes in drought and what this means for impacts in Australia Project E: Pick a recent extreme event.

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I created the above web based visualisation during a workshop on D3.js at ResBaz 2018. Here, you can read about my ResBaz experience and learn about how you can create a scatterplot like this too! ResBaz 2018 On 4th July I participated in ResBaz 2018, an excellent conference for building and sharing research skills as well as networking. It is a fantastic platform for cross-disciplinary information and skill exchange.

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The changed senate voting system actually makes a big difference to how we should vote this time around. In this blog I describe these changes and what they mean for us. In the federal election we get to cast two votes, one for the local candidate in the House of Representatives and the other for the Senate Candidate. I am in the electorate of Grayndler which historically has been a very safe Labor seat and even though there is a lot of hype out there about the new Greens candidate Jim Cassey, I still think Albanese is going to safely keep his seat (I would love to be wrong).

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Projects

A web application to explore Australian ocean observations

Since 2009, the 2000 km long coastline of New South Wales has been instrumented with a network of moored, remote sensing, and in-situ observing platforms to monitor the EAC and its impact on waters of the highly populated east coast of Australia. This network forms part of the larger national-level Integrated Marine Observing System. This web application allows a quick and easy way for users to explore and interact with the NSW-IMOS ocean observations.

Rainfall Estimates on a GriddEd Network (REGEN)

A global land-based gridded dataset of daily precipitation at 1 degree X 1 degree resolution from 1950 to 2013. Two datasets are available under the REGEN moniker. One interpolates all daily precipitation stations available regardless of completeness of station timeseries (available here). A second related dataset interpolates only the long-term stations (stations with at least 40 complete years of data) (available here). Besides the grid cell average precipitation amount per day (mm/day), the Yamamoto standard deviation per grid cell (mm/day), the kriging error per grid cell (%) and number of stations per grid cell variables are also included. For detailed documentation, refer to the journal article.

Visualising data on the web with D3

An interactive scatter plot created during the Software-Carpentry workshop on D3.js during ResBaz 2018 using Gapminder data and hosted on github pages.

isithotrightnow.com

Are temperatures in Australia right now anomalously warm or cold compared to the past? - A website answering this with simple visualisations and statistics, co-created with Mat Lipson and James Goldie.

Work Experience

Including Teaching Positions

Tutor

Semester 1, 2017, The University of New South Wales
Course: CLIM3001 - Climate Systems Science
Class on Earth’s radiative balance

Research Assistant

Aug 2013 – Nov 2014, The University of Sydney
Group: Condensed Matter Theory
Project: Investigation of multiferroic properties of Cobalt doped perovskite ferroelectrics

Teaching Assistant

Ongoing since 2011, The University of New South Wales
Courses: PHYS1160 - Introduction to Astronomy GENS4015 - Brave New World (A course on the physics of science fiction)
Duties include running and marking discussion modules, marking essays and other assignments and explaining theory.

Laboratory Demonstrator

2011 – 2015, The University of New South Wales
Courses: All first year physics courses
Duties included explaining theoretical and experimental concepts, supervising classes of up to 80 students, marking practicals and student projects.

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