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Preprints

Naserikia M; Hart MA; Shamsabadi EA; Meissner K; Hobeichi S; Bechtel B; Nazarian N, Developing gridded air temperature data over cities using machine learning, http://dx.doi.org/10.21203/rs.3.rs-7987756/v1

Falster G; Abramowitz G; Hobeichi S; Hughes C; Treble P; Abram NJ; Bird MI; Cauquoin A; Dixon B; Drysdale R; Jin C; Munksgaard N; Proemse B; Tyler JJ; Werner M; Tadros C, High resolution monthly precipitation isotope estimates across Australia from machine learning, http://dx.doi.org/10.5194/egusphere-2025-2458

Grant MO; Ukkola AM; Vogel E; Hobeichi S; Pitman AJ; Borowiak AR; Fowler K, Historical trends of seasonal droughts in Australia, http://dx.doi.org/10.5194/egusphere-2024-4024

Hobeichi S; Abramowitz G; Gupta AS; Taschetto A; Richardson D; Rampal N; Ayat H; Alexander L; Pitman A, How well do climate modes explain precipitationvariability?, http://dx.doi.org/10.21203/rs.3.rs-4867098/v1

Lu J; Li W; Hobeichi S; Azad S; Nazarian N, Machine Learning Predicts Pedestrian Wind Flow from Urban Morphology and Prevailing Wind Direction, http://dx.doi.org/10.31223/x5f717

Abramowitz G; Ukkola A; Hobeichi S; Page JC; Lipson M; De Kauwe M; Green S; Brenner C; Frame J; Nearing G; Clark M; Best M; Anthoni P; Arduini G; Boussetta S; Caldararu S; Cho K; Cuntz M; Fairbairn D; Ferguson C; Kim H; Kim Y; Knauer J; Lawrence D; Luo X; Malyshev S; Nitta T; Ogee J; Oleson K; Ottlé C; Peylin P; de Rosnay P; Rumbold H; Su B; Vuichard N; Walker A; Wang-Faivre X; Wang Y; Zeng Y, On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results, http://dx.doi.org/10.5194/egusphere-2023-3084

Teckentrup L; De Kauwe MG; Abramowitz G; Pitman AJ; Ukkola AM; Hobeichi S; François B; Smith B, Opening Pandora's box: How to constrain regional projections of the carbon cycle, http://dx.doi.org/10.5194/egusphere-2022-623

Hobeichi S; Abramowitz G; Evans J, Robust historical evapotranspiration trends across climate regimes, http://dx.doi.org/10.5194/hess-2020-595

Other

Ukkola A; Grant M; Vogel E; Hobeichi S; Pitman A; Borowiak A; Fowler K, 2026, Reversal of Australian drought trends over recent decades, Copernicus Publications, http://dx.doi.org/10.5194/egusphere-egu26-4596

Falster G; Abramowitz G; Hobeichi S; Hughes C; Treble P; Abram NJ; Bird MI; Cauquoin A; Dixon B; Drysdale R; Jin C; Munksgaard N; Proemse B; Tyler JJ; Werner M; Tadros C, 2025, Supplementary material to "High resolution monthly precipitation isotope estimates across Australia from machine learning", http://dx.doi.org/10.5194/egusphere-2025-2458-supplement

Grant MO; Ukkola AM; Vogel E; Hobeichi S; Pitman AJ; Borowiak AR; Fowler K, 2025, Supplementary material to "Historical trends of seasonal droughts in Australia", http://dx.doi.org/10.5194/egusphere-2024-4024-supplement

Grant M; Ukkola A; Vogel E; Hobeichi S; Pitman A; Hartley A, 2025, Understanding past changes in Australian droughts and their drivers, Copernicus Publications, http://dx.doi.org/10.5194/egusphere-egu24-1738

Abramowitz G; Ukkola A; Hobeichi S; Cranko Page J; Lipson M; De Kauwe M; Green S; Brenner C; Frame J; Nearing G; Clark M; Best M; Anthoni P; Arduini G; Boussetta S; Caldararu S; Cho K; Cuntz M; Fairbairn D; Ferguson C; Kim H; Kim Y; Knauer J; Lawrence D; Luo X; Malyshev S; Nitta T; Ogee J; Oleson K; Ottlé C; Peylin P; de Rosnay P; Rumbold H; Su B; Vuichard N; Walker A; Wang-Faivre X; Wang Y; Zeng Y, 2024, Supplementary material to "On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results", http://dx.doi.org/10.5194/egusphere-2023-3084-supplement

Mu M; De Kauwe MG; Ukkola AM; Pitman AJ; Guo W; Hobeichi S; Briggs PR, 2021, Supplementary material to "Exploring how groundwater buffers the influence of heatwaves on vegetation function during multi-year droughts", http://dx.doi.org/10.5194/esd-2021-31-supplement

Hobeichi S; Abramowitz G; Evans J, 2020, Supplementary material to "Robust historical evapotranspiration trends across climate regimes", http://dx.doi.org/10.5194/hess-2020-595-supplement


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