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Abstract: High resolution monthly precipitation stable isotope estimates across Australia from machine learning (AGU25)

High resolution monthly precipitation stable isotope estimates across Australia from machine learning

Georgina Falster1, Gab Abramowitz2, Sanaa Hobeichi3, Cath E Hughes4, Pauline Clare Treble5, Nerilie J. Abram6, Michael Ian Bird7, Alexandre Cauquoin8, Russell Drysdale9, Chenhui Jin10, Niels Munksgaard11, Bernadette Proemse12, Jonathan James Tyler13, Martin Werner14 and Carol V Tadros4, (1)University of Adelaide, School of Physics, Chemistry and Earth Sciences, Adelaide, SA, Australia, (2)ARC Centre of Excellence for Climate Extremes, UNSW - Sydney, Sydney, NSW, Australia, (3)University of New South Wales, Sydney, Australia, (4)Australian Nuclear Science and Technology Organization, Kirrawee, Australia, (5)Australian Nuclear Science and Technology Organization, Lucas Heights, NSW, Australia, (6)Australian National University, Research School of Earth Sciences, Canberra, Australia, (7)James Cook University, College of Science, Technology, and Engineering, Cairns, Australia, (8)The University of Tokyo, Kashiwa, Japan, (9)University of Melbourne, Parkville, VIC, Australia, (10)Monash University, School of Earth, Atmosphere and Environment, Melbourne, VIC, Australia, (11)James Cook University, College of Science and Engineering, Smithfield, Australia, (12)University of Tasmania, Hobart, Australia, (13)University of Adelaide, Adelaide, SA, Australia, (14)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, Bremerhaven, Germany