Select Publications
Journal articles
2021, 'Efficacy of Feedforward and LSTM Neural Networks at Predicting and Gap Filling Coastal Ocean Timeseries: Oxygen, Nutrients, and Temperature', Frontiers in Marine Science, 8, pp. 637759, http://dx.doi.org/10.3389/fmars.2021.637759
,2021, 'Changes in observed daily precipitation over global land areas since 1950', Journal of Climate, 34, pp. 3 - 19, http://dx.doi.org/10.1175/JCLI-D-19-0965.1
,2020, 'Evaluating precipitation datasets using surface water and energy budget closure', Journal of Hydrometeorology, 21, pp. 989 - 1009, http://dx.doi.org/10.1175/JHM-D-19-0255.1
,2020, 'Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products', Environmental Research Letters, 15, http://dx.doi.org/10.1088/1748-9326/ab79e2
,2020, 'Rainfall Estimates on a Gridded Network (REGEN) - A global land-based gridded dataset of daily precipitation from 1950 to 2016', Hydrology and Earth System Sciences, 24, pp. 919 - 943, http://dx.doi.org/10.5194/hess-24-919-2020
,2020, 'Diverse estimates of annual maxima daily precipitation in 22 state-of-the-art quasi-global land observation datasets', Environmental Research Letters, 15, http://dx.doi.org/10.1088/1748-9326/ab6a22
,2019, 'FROGS: A daily 1° × 1° gridded precipitation database of rain gauge, satellite and reanalysis products', Earth System Science Data, 11, pp. 1017 - 1035, http://dx.doi.org/10.5194/essd-11-1017-2019
,2018, 'Intensification of the Daily Wet Day Rainfall Distribution Across Australia', Geophysical Research Letters, 45, pp. 8568 - 8576, http://dx.doi.org/10.1029/2018GL078875
,2016, 'How much does it rain over land?', Geophysical Research Letters, 43, pp. 341 - 348, http://dx.doi.org/10.1002/2015GL066615
,2015, 'How Well Do Gridded Datasets of Observed Daily Precipitation Compare over Australia?', Advances in Meteorology, 2015, pp. 1 - 15, http://dx.doi.org/10.1155/2015/325718
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