By Professor Andy Pitman

Preprints

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

Devanand A; Evans J; Pitman A; Pal S; Gochis D; Sampson K, 2024, The influence of lateral flow on land surface fluxes in southeast Australia varies with model resolution, http://dx.doi.org/10.5194/egusphere-2024-3148

Wang L; Abramowitz G; Wang Y-P; Pitman A; Viscarra Rossel R, 2024, An ensemble estimate of Australian soil organic carbon using machine learning and process-based modelling, http://dx.doi.org/10.5194/egusphere-2023-3016

Richardson D; Pitman A; Ridder N, 2023, Climate controls on compound solar and wind droughts in Australia, http://dx.doi.org/10.31223/x5w09w

Devanand A; Falster G; Gillett Z; Hobeichi S; Holgate C; Jin C; Mu M; Parker T; Rifai S; Rome K; Stojanovic M; Vogel E; Abram N; Abramowitz G; Coats S; Evans J; Gallant A; Pitman A; Power S; Rauniyar S; Taschetto A; Ukkola A, 2023, Australia’s Tinderbox Drought: an extreme natural event likely worsened by human-caused climate change, http://dx.doi.org/10.31223/x53q2b

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

Cranko Page J; De Kauwe MG; Abramowitz G; Cleverly J; Hinko-Najera N; Hovenden MJ; Liu Y; Pitman AJ; Ogle K, 2021, Examining the Role of Environmental Memory in the Predictability of Carbon and Water Fluxes Across Australian Ecosystems, http://dx.doi.org/10.5194/bg-2021-254

Wartenburger R; Hirschi M; Donat MG; Greve P; Pitman AJ; Seneviratne SI, 2017, Changes in regional climate extremes as a function of global mean temperature: an interactive plotting framework, http://dx.doi.org/10.5194/gmd-2017-33

De Kauwe MG; Kala J; Lin Y-S; Pitman AJ; Medlyn BE; Duursma RA; Abramowitz G; Wang Y-P; Miralles DG, 2014, A test of an optimal stomatal conductance scheme within the CABLE Land Surface Model, http://dx.doi.org/10.5194/gmdd-7-6845-2014

Decker M; Pitman A; Evans J, 2014, Diagnosing the seasonal land–atmosphere coupling strength over Northern Australia: dependence on soil moisture state and coupling strength definition, http://dx.doi.org/10.5194/hessd-11-10431-2014

Exbrayat J-F; Pitman AJ; Abramowitz G, 2014, Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100, http://dx.doi.org/10.5194/gmdd-7-3481-2014

Exbrayat J-F; Pitman AJ; Abramowitz G, 2014, Disentangling residence time and temperature sensitivity of microbial decomposition in a global soil carbon model, http://dx.doi.org/10.5194/bgd-11-4995-2014

Lorenz R; Pitman AJ; Donat MG; Hirsch AL; Kala J; Kowalczyk EA; Law RM; Srbinovsky J, 2013, Representation of climate extreme indices in the coupled atmosphere-land surface model ACCESS1.3b, http://dx.doi.org/10.5194/gmdd-6-6343-2013

Pitman AJ; de Noblet-Ducoudré N; Avila FB; Alexander LV; Boisier J-P; Brovkin V; Delire C; Cruz F; Donat MG; Gayler V; van den Hurk B; Reick C; Voldoire A, 2012, Effects of land cover change on temperature and rainfall extremes in multi-model ensemble simulations, http://dx.doi.org/10.5194/esdd-3-597-2012

Mao J; Phipps SJ; Pitman AJ; Wang YP; Abramowitz G; Pak B, 2011, The CSIRO Mk3L climate system model v1.0 coupled to the CABLE land surface scheme v1.4b: evaluation of the control climatology, http://dx.doi.org/10.5194/gmdd-4-1611-2011

Devanand A; Evans JP; Abramowitz G; Hobeichi S; Pitman AJ, ­­­What is the Probability that a Drought Will Break in Australia?, http://dx.doi.org/10.2139/ssrn.4251061

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