By Professor Andy Pitman

Conference Papers

Pitman AJ, 1995, 'Simulating heterogeneous vegetation in climate models. Identifying when secondary vegetation becomes important', in Hydrological Processes, pp. 719 - 728, http://dx.doi.org/10.1002/hyp.3360090516

Pitman AJ; Henderson-Sellers A, 1995, 'Simulating the diurnal temperature range: Results from Phase I(a) of the Project for Intercomparison of Landsurface Parameterisation Schemes (PILPS )', in Atmospheric Research, pp. 229 - 245, http://dx.doi.org/10.1016/0169-8095(94)00079-S

Yang ZL; Pitman AJ; Henderson-Sellers A, 1993, 'Implementing an advanced land surface scheme into an AGCM: methodology and results', in Exchange processes at the land surface for a range of space and time scales. Proc. international symposium, Yokohama, 1993, pp. 583 - 590

Yang ZL; Pitman AJ, 1993, 'Land-surface parameterizations for climate models: a new method for composite fluxes', in Exchange processes at the land surface for a range of space and time scales. Proc. international symposium, Yokohama, 1993, pp. 551 - 559

Pitman AJ, 1993, 'The sensitivity of the land surface to the parameter values: a reassessment', in Macroscale modelling of the hydrosphere. Proc. international conference, Yokohama, 1993, pp. 125 - 132

Kalma JD; Lyons TJ; Nunez M; Pitman AJ, 1991, 'Advances in understanding meso-scale climatic variability', in Climatic risk in crop production. Proc. international symposium, Brisbane, 1990, pp. 445 - 466

HENDERSONSELLERS A; PITMAN AJ, 1989, 'QUANTIFICATION OF REGIONAL DRY AND WET CANOPY EVAPORATION', in BOUWMAN AF (ed.), SOILS AND THE GREENHOUSE EFFECT, JOHN WILEY & SONS LTD, NETHERLANDS, WAGENINGEN, pp. 343 - 352, presented at INTERNATIONAL CONF ON SOILS AND THE GREENHOUSE EFFECT, NETHERLANDS, WAGENINGEN, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1990BS64K00016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Conference Presentations

Sabot M; De Kauwe M; Pitman A; Medlyn B; Ellsworth D; Caldararu S; Zaehle S; Mu M; Gimeno T, 2022, 'Predicting resilience through the lens of competing adjustments to vegetation function', presented at EGU General Assembly 2022, Vienna, Austria, 23 May 2022 - 27 May 2022, http://dx.doi.org/10.5194/egusphere-egu22-4244

Sabot M; De Kauwe M; Pitman A; Medlyn B; Caldararu S; Zaehle S; Ellsworth D, 2021, 'On which timescale(s) do optimal adjustments to vegetation function confer resilience? A case study in South-Eastern Australia', http://dx.doi.org/10.5194/egusphere-egu21-14908

Mu M; De Kauwe M; Ukkola A; Pitman A; Gimeno T; Medlyn B; Or D; Yang J; Ellsworth D, 2021, 'Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves', http://dx.doi.org/10.5194/egusphere-egu21-4083

Ukkola A; De Kauwe M; Roderick M; Abramowitz G; Pitman A, 2021, 'Robust Future Changes in Meteorological Drought in CMIP6 Projections Despite Uncertainty in Precipitation', http://dx.doi.org/10.5194/egusphere-egu21-1889

Reports

Gillett Z; Shao Y; Parker T; Barnes M; Reid K; Arblaster J; Meyer A; Pitman A; Yang D; Raupach T; Brown AL; Hitchcock S; El Rafei M, 2023, The State of Weather and Climate Extremes 2022, ARC Centre of Excellence for Climate Extremes, UNSW, Sydney, Australia, http://dx.doi.org/10.26190/b0az-0920

Barker A; Pitman A; Evans J; Spaninks F; Uthayakumaran L, 2019, Probabilistic forecasts for water consumption in Sydney, Australia from stochastic weather scenarios and a panel data consumption model., http://dx.doi.org/10.26190/5d534d6145702

Laws RM; Raupach MR; Abramowitz G; Dharssi I; Haverd V; Pitman AJ; Renzullo V; Van DA; Wang , 2013, The Community Atmosphere Biosphere Land Exchange (CABLE) model Roadmap for 2012-2017, The Centre for Australian Weather and Climate Research, Melbourne, 057, http://www.cawcr.gov.au/publications/technicalreports

Working Papers

Ukkola AM; Roderick ML; Barker A; Pitman AJ, 2019, Exploring the stationarity of australian temperature, precipitation and pan evaporation records over the last century, http://dx.doi.org10.1088/1748-9326/ab545c

Preprints

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

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

Other

Sabot M; Nobrega R; Moura M; De Kauwe M; Majcher B; Cosme L; Miatto R; Ferreira Domingues T; Pitman A; Prentice IC; Verhoef A, 2024, Modelling the functionally diverse Caatinga: insights into a unique tropical forest, http://dx.doi.org/10.5194/egusphere-egu24-13238

Teckentrup L; De Kauwe M; Pitman A; Ukkola A; Wårlind D; Smith B, 2024, Resolving uncertainty in the response of Australia's terrestrial carbon cycle to projected climate change, http://dx.doi.org/10.5194/egusphere-egu24-14716

Ukkola A; Vogel E; Thomas S; Bende-Michl U; Pitman A; Abramowitz G, 2024, Future drought changes in Australia from multiple projections, http://dx.doi.org/10.5194/egusphere-egu24-1920

Grant M; Ukkola A; Vogel E; Hobeichi S; Pitman A; Hartley A, 2024, Understanding past changes in Australian droughts and their drivers, http://dx.doi.org/10.5194/egusphere-egu24-1738

De Kauwe M; Sabot M; Medlyn B; Pitman A; Meir P; Cernusak L; Ukkola A; Rifai S; Choat B, 2023, Towards species-level forecasts of drought-induced tree mortality risk, http://dx.doi.org/10.5194/egusphere-egu23-8249

Cranko Page J; Abramowitz G; De Kauwe MG; Pitman AJ, 2023, Using Machine Learning to Reveal the Relationships Between Plant Functional Traits and Flux Regimes at Eddy-Covariance Towers, http://dx.doi.org/10.5194/egusphere-egu23-10049

Clarke H; Pitman AJ; Kala J; Carouge C; Haverd V; Evans JP, 2016, Erratum to: An investigation of future fuel load and fire weather in Australia (Climatic Change, 10.1007/s10584-016-1808-9), http://dx.doi.org/10.1007/s10584-016-1823-x

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