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Abstract: Artificial intelligence-guided iterations between observations and models significantly improve continental-scale predictions of sediment respiration (AGU25)

Artificial intelligence-guided iterations between observations and models significantly improve continental-scale predictions of sediment respiration

Avni Malhotra1, Brieanne K. Forbes1, Dr. Stefan F Gary, MS, PhD2, Amy E Goldman3, Bre Rivera Waterman4, Vanessa Alessandra Garayburu-Caruso5, Michael P Bruen6, Etienne Fluet-Chouinard1, Sushant Mehan7, Micah Taylor8, Marcelo Ardon9, M. Bayani Cardenas10, Walter K Dodds11, Christian Lønborg12, William H McDowell13, Moussa Moustapha14, Allison Myers-Pigg8, Peter Regier1, Tod Rubin15, Hyun-Seob Song16, Ryan D. Stewart17, Jorge Villa18, Nicholas D Ward19, Timothy D Scheibe1 and James Stegen1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Parallel Works Inc., Chicago, United States, (3)Pacific Northwest National Laboratory, Biological Sciences, Richland, WA, United States, (4)University of Kansas, Civil, Environmental, and Architectural Engineering, Lawrence, KS, United States, (5)Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory, Richland, United States, (6)Dooge Centre for Water Resources Research, School of Civil Engineering, University College Dublin, Dublin, Ireland, (7)South Dakota State University, Agricultural and Biosystems Engineering, Brookings, United States, (8)Pacific Northwest National Laboratory, Richland, United States, (9)North Carolina State University, Forestry and Environmental Resources, Raleigh, United States, (10)University of Texas at Austin, Earth and Planetary Sciences, Austin, United States, (11)Kansas State University, Manhattan, KS, United States, (12)Aarhus University, Aarhus C, Denmark, (13)University of New Hampshire, Department of Natural Resources and the Environment, Durham, United States, (14)University of Ebolowa, Kribi, Cameroon, (15)The Watershed Project, Richmond, United States, (16)University of Nebraska Lincoln, Department of Biological Systems Engineering, Department of Food Science and Technology, Nebraska Food for Health Center, Lincoln, United States, (17)Virginia Polytechnic Institute and State University, Crop and Soil Environmental Sciences, Blacksburg, United States, (18)University of Louisiana at Lafayette, School of Geosciences, Lafayette, United States, (19)Pacific Northwest National Laboratory, Sequim, United States