研究领域

Climate, land surface, hydrological and ecological model evaluation

Model evaluation in climate science, ecology and hydrology. This includes uncertainty estimation; calibration; machine learning applications; ensemble interpretation paradigms; model dependence in ensemble modelling; empirical model benchmarking of physically based models.

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Kala, J., M. Decker, J.-F. Exbrayat, A. Pitman, C. Carouge, J. Evans, G. Abramowitz, D. Mocko (2013) Influence of leaf area index prescriptions on simulations of heat, moisture, and carbon fluxes, Journal of Hydrometeorlogy, accepted September 2013. Sasse, T. P., B. McNeil and G. Abramowitz (2013) A novel method for diagnosing seasonal to inter-annual surface ocean carbon dynamics from bottle data using neural networks, Biogeosciences, 10, 4319-4340, doi:10.5194/bg-10-4319-2013. Sasse, T., B. McNeil and G. Abramowitz (2013) A new constraint on global air-sea CO2 fluxes using bottle carbon data, Geophysical Research Letters, DOI: 10.1002/grl.50342, 40(8), 1594-1599. Hall, M., B. Medlyn, G. Abramowitz, O. Franklin, M. Räntfors, S. Linder and G. Wallin (2013) Which are the most important parameters for modelling carbon assimilation in boreal Norway spruce under elevated CO2 and temperature conditions? Tree Physiology, DOI: 10.1093/treephys/tpt014, accepted January 2013. Vargas, R., O. Sonnentag, G. Abramowitz, A. Carrara, J. M. Chen, P. Ciais, A. Correia, T. Keenan, H. Kobayashi, J.-M. Ourcival, D. Papale, D. Pearson, J. S. Pereira, S. Piao, S. Rambal, D. Baldocchi (2013) Drought conditions influence simulated ecosystem fluxes: a model-data meta-analysis for Mediterranean oak woodlands, Ecosystems, 16(5), 749-764, DOI: 10.1007/s10021-013-9648-1. Bishop, C. and G. Abramowitz (2013) Climate model dependence and the replicate Earth paradigm, Climate Dynamics, 41(3-4), 885-900, DOI: 10.1007/s00382-012-1610-y. Exbrayat, J.-F., A. J. Pitman, G. Abramowitz, Y.-P. Wang (2013) Sensitivity of net ecosystem exchange and heterotrophic respiration to parameterization uncertainty, Journal of Geophysical Research, Atmospheres, 118 (4), 1640-1651. Abramowitz, G. (2012) Towards a public, standardized, diagnostic benchmarking system for land surface models, Geoscientific Model Development, 5, 819-827, doi:10.5194/gmd-5-819-2012. Law, R.M., M.R. Raupach, G. Abramowitz, I. Dharssi, V. Haverd, A.J. Pitman, L. Renzullo, A. Van Dijk and Y.-P. Wang (2012) The Community Atmosphere Biosphere Land Exchange (CABLE) model Roadmap for 2012-2017. CAWCR Technical Report No. 057 Gupta, H., M. Clark, J. Vrugt, G. Abramowitz, and M. Ye (2012) Towards a comprehensive assessment of model structural adequacy, Water Resources Research, VOL. 48, W08301, doi:10.1029/2011WR011044. Luo, Y. Q., J. Randerson, G. Abramowitz, C. Bacour, E. Blyth, N. Carvalhais, P. Ciais, D. Dalmonech, J. Fisher, R. Fisher, P. Friedlingstein, K. Hibbard, F. Hoffman, D. Huntzinger, C. D. Jones, C. Koven, D. Lawrence, D. J. Li, M. Mahecha, S. L. Niu, R. Norby, S. L. Piao, X. Qi, P. Peylin, I. C. Prentice, W. Riley, M. Reichstein, C. Schwalm, Y. P. Wang, J. Y. Xia, S. Zaehle, and X. H. Zhou (2012), A framework for benchmarking land models, Biogeosciences, 9, 3857-3874, doi:10.5194/bg-9-3857-2012. Abramowitz, G., L. Pouyanné, H. Ajami (2012), On the information content of surface meteorology for downward atmospheric long-wave radiation synthesis, Geophysical Research Letters, 39, L04808, doi:10.1029/2011GL050726. Avila, F. B., A. J. Pitman, M. G. Donat, L. V. Alexander and G. Abramowitz (2012), Climate model simulated changes in temperature extremes due to land cover change, Journal of Geophysical Research Atmospheres, 117, D04108. Pitman, A. J., F. B. Avila, G. Abramowitz, Y. P. Wang, S. J. Phipps & N. de Noblet-Ducoudré (2011), Importance of background climate in determining impact of land-cover change on regional climate, Nature Climate Change, 1, 472-475, doi:10.1038/nclimate1294. Mao, J., S. J. Phipps, A. J. Pitman, Y. P. Wang, G. Abramowitz and B. Pak (2011), The CSIRO Mk3L climate system model v1.0 coupled to the CABLE land surface scheme v1.4b: evaluation of the control climatology, Geoscientific Model Development, 4, 1115-1131. Wang, Y., E. Kowalczyk, R. Leuning, G. Abramowitz, M. R. Raupach, B. Pak, E. van Gorsel, A. Luhar (2011), Diagnosing errors in a land surface model (CABLE) in the time and frequency domains, Journal of Geophysical Research, 116, G01034, doi:10.1029/2010JG001385. Abramowitz, G. (2010), Model independence in multi-model ensemble prediction, Australian Meteorological and Oceanographic Journal, 59, 3-6. Knutti, R., G. Abramowitz, M. Collins, V. Eyring, P.J. Gleckler, B. Hewitson, and L. Mearns, Good Practice Guidance Paper on Assessing and Combining Multi Model Climate Projections. In: Meeting Report of the Intergovernmental Panel on Climate Change Expert Meeting on Assessing and Combining Multi Model Climate Projections Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, and P.M. Midgley (eds.) IPCC Working Group I Technical Support Unit, University of Bern, Bern, Switzerland, 2010. Macadam, I., A. J. Pitman, P. H. Whetton, and G. Abramowitz (2010), Ranking climate models by performance using actual values and anomalies: Implications for climate change impact assessments, Geophysical Research Letters, 37, L16704. Mao, J., A. J. Pitman, S. J. Phipps, G. Abramowitz, et al. (2010), Global and regional coupled climate sensitivity to the parameterization of rainfall interception, Climate Dynamics, DOI: 10.1007/s00382-010-0862-7. Abramowitz, G., Leuning, R., M. Clark, and A. J. Pitman (2008), Evaluating the performance of land surface models, Journal of Climate, 21, 5468-5481. Abramowitz, G., and H. Gupta (2008), Toward a model space and model independence metric, Geophysical Research Letters, 35. Abramowitz, G., A. Pitman, H. Gupta, E. Kowalczyk and Y. Wang (2007). Systematic bias in land surface models. Journal of Hydrometeorology, 8, 989-1001. Kowalczyk, E. A., Y. P. Wang, R. M. Law, H. L. Davies, J. L. McGregor and G. Abramowitz (2006). The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models as as an offline model. CSIRO Marine and Atmoshperic Research Paper 013. Abramowitz, G., H. Gupta, A. J. Pitman, Y. Wang, R. Leuning and H. Cleugh (2006). Neural Error Regression Diagnosis (NERD): a tool for model bias identification and prognostic data assimilation. Journal of Hydrometeorolgy, 7, 160-177. Abramowitz., G. (2005). Towards a benchmark for land surface models. Geophysical Research Letters, 32:L22702. Pitman, A. J. and G. Abramowitz (2005). What are the limits to statistical error correction in land surface schemes when projecting the future? Geophysical Research Letters, 32:L14403.1.