Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations by Fenjuan Wang, Shamil Maksyutov, Rajesh Janardanan, Akihiko Ito, Isamu Morino, Yukio Yoshida, Yu Someya, Yasunori Tohjima, Bryce F.J. Kelly, Johannes W. Kaiser, Xin Lan, Ivan Mammarella, Tsuneo Matsunaga

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Top‐Down CO Emissions Based On IASI Observations and Hemispheric Constraints on OH Levels by J.‐F. Müller, T. Stavrakou, M. Bauwens, M. George, D. Hurtmans, P.‐F. Coheur, C. Clerbaux, C. Sweeney

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Remote Sensing of Chlorophyll Fluorescence in the Ocean Using Imaging Spectrometry: Toward a Vertical Profile of Fluorescence by Z. K. Erickson, C. Frankenberg, D. R. Thompson, A. F. Thompson, M. Gierach

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Non-Invasive Blood Cortisol Estimation from Sweat Analysis by Kinetic Modeling of Cortisol Transport Dynamics by Xiaoyu Yin, Sophie Adelaars, Elisabetta Peri, Eduard Pelssers, Jaap den Toonder, Arthur Bouwman, Daan van de Kerkhof, Massimo Mischi

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Optimized Modeling Strategies for the Parametrization of a Two-Parameter Friction Model Through Inverse Modeling of Conical Tube-Upsetting Tests by Michel Henze, Lena Koch, David Bailly, Marco Teller, Gerhard Hirt

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Efficient Model Calibration Using Submodels by P. T. M. Vermeulen, G. M. C. M. Janssen, T. Kroon

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An Inverse Piecewise Flow Curve Determination Method for Torsion Tests at Elevated Temperature by Aditya Vuppala, Holger Brüggemann, David Bailly, Emad Scharifi

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First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns by Jincheol Park, Yunsoo Choi, Jia Jung, Kyunghwa Lee, Arash Kashfi Yeganeh

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Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies by Nanzhe Wang, Haibin Chang, Dongxiao Zhang

Subjects: “…inverse modeling…”
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Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions by Angel Liduvino Vara-Vela, Noelia Rojas Benavente, Ole-Kenneth Nielsen, Janaina Pinto Nascimento, Rafaela Alves, Mario Gavidia-Calderon, Christoffer Karoff

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CFC‐12 Emissions in China Inferred From Observation and Inverse Modeling by Mengyue Ma, Xiaoyi Hu, Bo Yao, Bowei Li, Minde An, Xuekun Fang

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Atmospheric Transport Modeling of CO2 With Neural Networks by Vitus Benson, Ana Bastos, Christian Reimers, Alexander J. Winkler, Fanny Yang, Markus Reichstein

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Emissions of Perfluorinated Greenhouse Gases in Southeastern China Derived From High‐Frequency In Situ Observations by Yuyang Chen, Bo Yao, Minde An, Ao Ding, Song Liu, Xicheng Li, Yali Li, Simon O’Doherty, Paul B. Krummel, Honglong Yang, Haibo Yu, Liqu Chen, Xin Yang, Tzung‐May Fu, Huizhong Shen, Jianhuai Ye, Chen Wang, Lei Zhu

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DELINEATION OF MINERAL COMPOSITION AND DEPTH OF BURIAL OF MAGNETIC ANOMALY IN ISIUZO L. G. A. EASTERN NIGERIA by Mirianrita Ngozi Ossai, Emmanuel Uchechukwu Ogbuabor, Agatha Ngozi Okwesili, John Akor Yakubu, Chukwuebuka Jude Ugwu, Dominic Chukwuebuka Obiegbuna, Orji Prince Orji

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Understanding climate-sensitive tick development and diapause with a structured population model by Kamil Erguler, Anastasios Saratsis, Gerhard Dobler, Lidia Chitimia-Dobler

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Dynamic Carbon Emission Factors in Source–Network–Storage Power System Planning: A Focus on Inverse Modelling by Yixin Li, Weijie Wu, Haotian Yang, Guoxian Gong, Yining Zhang, Shuxin Luo, Shucan Zhou, Peng Wang

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A novel kinetic model estimating the urea concentration in plasma during non-invasive sweat-based monitoring in hemodialysis by Xiaoyu Yin, Sophie Adelaars, Sophie Adelaars, Elisabetta Peri, Eduard Pelssers, Jaap Den Toonder, Arthur Bouwman, Arthur Bouwman, Daan Van de Kerkhof, Massimo Mischi

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A State-of-the-Art Survey on Advanced Electromagnetic Design: A Machine-Learning Perspective by Masoud Salmani Arani, Reza Shahidi, Lihong Zhang

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Modeling of Tensile Tests Flow Curves Using an Explicit Piecewise Inverse Approach by Aditya Vuppala, Holger Brüggemann, David Bailly, Emad Scharifi

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Learning Constitutive Relations From Soil Moisture Data via Physically Constrained Neural Networks by Toshiyuki Bandai, Teamrat A. Ghezzehei, Peishi Jiang, Patrick Kidger, Xingyuan Chen, Carl I. Steefel

Subjects: “…inverse modeling…”
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