The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Session Proposal: Remote Sensing of CH<sub>4</sub> and CO<sub>2</sub> from Space: The Expanding Observing System (AGU25)

A089
Remote Sensing of CH4 and CO2 from Space: The Expanding Observing System

Session ID#: 248327

Session Description:
This session explores the impact of remote sensing observations of atmospheric methane, carbon dioxide, and related quantities on the understanding of processes driving variability in sources and sinks at local to global scales. The range of sensors in the current system now includes TROPOMI, CarbonMapper, MethaneSAT, GHGSat, OCO-2, OCO-3, GOSAT and GOSAT-2. Additionally, next-generation platforms planned such as MicroCarb, GOSAT-GW, and CO2M are set to dramatically improve observational capabilities. These space-based sensors, when joined by an expanding range of in-situ and ground-based observational efforts, herald an age of great opportunity for fundamental breakthroughs. We call for submissions of analysis of existing datasets, descriptions of coming sensors and innovative measurement approaches, advances in retrieval algorithms, development of gridded fields, and data analysis / modeling tools that target existing and future observations.
Co-Sponsor(s):
  • B - Biogeosciences
Index Terms:

0315 Biosphere/atmosphere interactions [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0322 Constituent sources and sinks [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
Primary Convener:  Scot M Miller, Johns Hopkins University, Department of Environmental Health and Engineering, Baltimore, MD, United States
Conveners:  Vivienne Payne, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Hannah Obermiller Nesser, Jet Propulsion Laboratory, Pasadena, United States and Christopher O'Dell, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, United States
 
Quantifying the Spatiotemporal Patterns of Atmospheric Methane Emissions and Their Associations with Environmental Factors in Bihar, India (1856199)
Avinash Dass and Rajesh Kumar Ranjan, Central University of South Bihar, Department of Environmental Science, Gaya, Bihar, India
 
Carbon Mapper: greenhouse gas measurement performance and findings from Tanager-1 (Invited) (1858963)
Riley Duren1, Daniel Cusworth1, Alana Ayasse1, Katherine Howell1, Tia Scarpelli1, Jinsol Kim1, Daniel Bon1, Alex Diamond1, Mark Keremedjiev2, Jeff Guido2, Ravi Teja Nallapu2, Andrew K Thorpe3, Daniel Jensen4, Frances Reuland5, Adam R Brandt6, Taylor Adams7, Eric A Kort7 and Robert O Green8, (1)Carbon Mapper, Pasadena, United States, (2)Planet Labs, San Francisco, United States, (3)Jet Propulsion Laboratory, Pasadena, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)Stanford University, Department of Energy Science and Engineering, Stanford, United States, (6)Stanford University, Department of Energy Science and Engineering, Stanford, CA, United States, (7)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (8)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Evaluating Satellite-based XCO2 Measurements from OCO-2 and OCO-3 Against Ground-based Measurements from TCCON and COCCON, and Airborne Measurements from ATom (1869005)
Saswati Das1, Mahesh Kumar Sha2, Susan Sund Kulawik3, Matthäus Kiel1, Joshua Laughner1 and Gregory B Osterman4, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium, (3)Bay Area Environmental Research Institute/NASA Ames Research Center, Mountain View, CA, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Maximizing the Use of Spatial Information in Dense XCO2

Observations for Urban-Scale Bayesian Inversions
(1869515)
Dustin Roten, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Abhishek Chatterjee, California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States and John C Lin, University of Utah, Department of Atmospheric Sciences, Salt Lake City, United States
 
Understanding the Empirical Relationships Between Vegetation Dynamics and Methane Emissions From Wetlands in East Africa (1871635)
Kai Wu1, Paul I Palmer2, Liang Feng2, Mark Lunt3, Dongxu Yang1, Tingting Li4, Minqiang Zhou1, Sihong Zhu1 and Yi Liu1, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)University of Edinburgh, National Centre for Earth Observation, Edinburgh, United Kingdom, (3)University of Edinburgh, Edinburgh, EH9, United Kingdom, (4)Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, China
 
Spatial and Temporal Distribution of Global Wetland Methane Emissions During 2019–2020 Estimated from Satellite Observations (1877610)
Ao Chen1, Zhen Zhang2, Benjamin Poulter3, Leyang Feng4, Hanyu Liu4, Lee T Murray5, Xueying Yu6, Ziting Huang1, Dylan C Gaeta4, Kristan Morgan7, Qing Zhu8 and Scot Miller4, (1)Johns Hopkins University, Environmental Health and Engineering, Baltimore, MD, United States, (2)ITP Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)Johns Hopkins University, Environmental Health and Engineering, Baltimore, United States, (5)University of Rochester, Department of Earth and Environmental Sciences, Rochester, NY, United States, (6)State University of New York at Albany, Albany, United States, (7)Johns Hopkins University, Environmental Health and Engineering, Balitmore, United States, (8)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States
 
Deep Learning Fusion of XCO2-NO2 Satellite Observations for Seamless Megacity ΔXCO2 Mapping (1879373)
Zeyu Wang, Zhejiang University, Hangzhou, China and Feng Zhang, School of Earth Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China
 
Identifying High-Probability Methane Emitting Wells in the San Juan Basin Using Sentinel-5P and Google Earth Engine for Targeted Field Measurement (1881462)
Richelle Espino, Southwestern Indian Polytechnic Institute, Albuquerque, New Mexico, UNITED STATES and Scott A Nowicki, University of New Mexico, Earth and Planetary Sciences department, Albuquerque, United States
 
Large-Scale Controlled Methane Releases for Satellite Detection and Quantification of Point Sources (1899837)
Frances Reuland1, Taylor Adams2, Kevin Galvin1, Evan D. Sherwin3, Eric A Kort2 and Adam R Brandt4, (1)Stanford University, Department of Energy Science and Engineering, Stanford, United States, (2)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (4)Stanford University, Department of Energy Science and Engineering, Stanford, CA, United States
 
Bias Correction Method Development for Multi-Satellite Integration in Carbon Cycle Studies (1905639)
Takashi Maki1, Takashi Nakamura2 and Kentaro Ishijima2, (1)Meteorological Research Institute, Ibaraki, Japan, (2)Japan Meteorological Agency, Tokyo, Japan
 
MethaneSAT L0 to L1B Processor and in-Flight Calibration and Performance (1914316)
Bingkun Luo1, David Miller2, Xiong Liu3, Jonathan E Franklin2, Sasha Ayvazov4, Nicholas LoFaso4, Norton Allen5, Carlos Cervantes6, Kang Sun7, Thomas Veness6, Eamon Conway8, Sean Crowell9, Christopher O'Dell10, Sébastien Roche11, Christopher Chan Miller11, Maya Nasr4, Joshua Simon Benmergui12 and Steven C Wofsy13, (1)Harvard-Smithsonian Center for Astrophysics, Atomic and Molecular Physics Division, Cambridge, MA, United States, (2)Harvard University, Cambridge, United States, (3)Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States, (4)Environmental Defense Fund, New York, United States, (5)Harvard University, Cambridge, MA, United States, (6)Environmental Defense Fund New York, New York, United States, (7)University at Buffalo, Department of Civil, Structural and Environmental Engineering, Buffalo, United States, (8)Now at Kostas Research Institute, Northeastern University, Burlington, MA, USA, Cambridge, United States, (9)LumenUs Scientific, Oklahoma City, United States, (10)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (11)Environmental Defense Fund, Harvard University, Cambridge, United States, (12)MethaneSAT, LLC, Austin, United States, (13)Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, United States
 
Estimating the Global Oil-Gas Methane Emission Rate Distribution using Multiple Satellite Systems (1924106)
Dylan Jervis, Jean-Philippe MacLean, Jason McKeever, Mathias Strupler and Antoine Ramier, GHGSat, Inc., Montréal, QC, Canada
 
Accurate, Low-Latency Monitoring of Whole-Atmosphere CO₂ Growth Rates with Satellite Observations (Invited) (1925785)
Sudhanshu Pandey1, Junjie Liu1, Abhishek Chatterjee2, Christopher O'Dell3, Sourish Basu4, Scot Miller5, Frederic Chevallier6, Kristan Morgan7, David F Baker8, Suman Maity9, Sajeev Philip10, Matthew S Johnson11, Shamil S Maksyutov12 and Vivienne Payne13, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States, (3)Colorado State University, Fort Collins, United States, (4)NASA/GSFC, Greenbelt, United States, (5)Johns Hopkins University, Environmental Health and Engineering, Baltimore, United States, (6)Institut Pierre Simon Laplace, LSCE, Gif-sur-Yvette Cedex, France, (7)Johns Hopkins University, Balitmore, United States, (8)Colorado State University, CIRA, Fort Collins, United States, (9)NIES National Institute of Environmental Studies, Ibaraki, Japan, (10)Universities Space Research Association, NASA Ames Research Center, Mountain View, United States, (11)Earth Science Division, NASA Ames Research Center, Moffett Field, CA, United States, (12)NIES, Tsukuba, Japan, (13)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Improving Remote Sensing of Volcanic Carbon Dioxide Emissions from OCO-2 through Machine Learning-Based Retrieval of Aerosol Parameters from L1B Spectra (1928645)
Kevin Peng1, Sihe Chen2, Vijay Natraj3, Yangcheng Luo4, Robert R Nelson3 and Yuk L Yung2, (1)California Institute of Technology, Pasadena, CA, United States, (2)California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)LMD/IPSL, Sorbonne Université, PSL Research University, École Normale Supérieure, École Polytechnique, CNRS, Paris, France, Paris, France
 
Simulating out-of-sample atmospheric transport to enable flux inversions (1937945)
Nikhil Dadheech, University of Washington, Seattle, United States and Alexander J Turner, University of Washington, Department of Atmospheric and Climate Science, Seattle, United States
 
Cross-platform Consistency in Satellite-derived Methane and Its Evaluation with Model Simulations (1940371)
Deepshikha Deepshikha1, Sagnik Dey1, Prabir Kumar Patra2 and Naveen Chandra2, (1)Indian Institute of Technology Delhi, Centre for Atmospheric Sciences, New Delhi, India, (2)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
 
Constraining terrestrial biospheric CO2 fluxes over India by assimilating surface and satellite observations in a global inverse model (1940901)
Lorna Raja Nayagam1, Shamil S Maksyutov1, Rajesh Janardanan Achari1, Tomohiro Oda2, Yogesh Kumar Tiwari3, Sreenivas Gaddamidi3, Amey Datye3, Jain Chaithanya D Jain4, M Venkat Ratnam4, Vinayak Sinha5, Haseeb Hakkim6, Yukio Terao1, Manish Kumar Naja7, Kawser Ahmed8, Hitoshi Mukai1, Jiye Zeng1, Johannes W Kaiser9, Yu Someya1, Yukio Yoshida1 and Tsuneo Matsunaga1, (1)National Institute for Environmental Studies, Tsukuba, Japan, (2)Universities Space Research Association, Earth from Space Institute, Washington DC, United States, (3)Indian Institute of Tropical Meteorology, Pune, India, (4)National Atmospheric Research Laboratory, Gadanki, India, (5)Indian Institute of Science Education and Research, Mohali, India, (6)University of Rostock, Rostock, Germany, (7)Aryabhatta Research Institute of Observational Sciences, Nainital, India, (8)Planning Commission, Dhaka, Bangladesh, (9)The Climate and Environmental Research Institute NILU, Kjeller, Norway
 
Validation of Cross-Platform Spectral Radiance Datasets for Greenhouse Gas Monitoring Using Radiative Transfer Simulations (1941734)
Shin Ishida1, Naoki Kasuya1, Kei Shiomi1, Rio Kajiura1, Akihiko Kuze2 and Hiroshi Suto1, (1)Japan Aerospace Exploration Agency, Tsukuba, Japan, (2)GORadS, INC., Tokyo, Japan
 
Inverse analysis of TROPOMI satellite observations to infer methane emissions from Africa at high resolution before, during, and after the 2020–2022 global methane surge (1947811)
Nicholas Balasus1, Daniel J. Jacob1, Oliver Schneising2, Michael Alexander Buchwitz2, Alexander J Turner3, James D. East4, Lucas Estrada1, Sarah Hancock1 and Todd A Mooring5, (1)Harvard University, School of Engineering and Applied Sciences, Cambridge, United States, (2)University of Bremen, Institute of Environmental Physics, Bremen, Germany, (3)University of Washington, Department of Atmospheric and Climate Science, Seattle, United States, (4)Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, United States, (5)Harvard University, Earth and Planetary Sciences, Cambridge, United States
 
MethaneSAT XCH4 and XCO2 using the O2-proxy method (1948534)
Sébastien Roche1,2, Christopher Chan Miller1,3, Xiong Liu4, Bingkun Luo4, David Miller2, Kang Sun5, Nicholas LoFaso1,6, Sasha Ayvazov1,6, Carlos Cervantes6,7, Christopher Hairfield1,6, Thomas Veness6,7, Sean Crowell8, Gregory McGarragh9, Christopher O'Dell10, David Wells1, Joshua Simon Benmergui1,11, Maryann Sargent2, Ethan D. Kyzivat12, Dr. Zhan Zhang, PhD1,2, Marvin Knapp1,11, Eleanor Walker11, Maya Nasr1, Ritesh Gautam1, Jonathan E Franklin2, Steven C Wofsy2 and MethaneSAT team, (1)Environmental Defense Fund, New York, United States, (2)Harvard University, Cambridge, United States, (3)Environmental Defense Fund, Harvard University, Cambridge, United States, (4)Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States, (5)University at Buffalo, Research and Education in Energy, Environment and Water Institute, Buffalo, United States, (6)MethaneSAT LLC, Austin, United States, (7)Environmental Defense Fund New York, New York, United States, (8)LumenUs Scientific, Oklahoma City, United States, (9)Cooperative Institute for Research in the Atmosphere, Fort Collins, United States, (10)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, United States, (11)Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, United States, (12)Harvard University, Earth and Planetary Sciences, Cambridge, United States
 
Foundation Model for Reconstruction of Missing Data in TROPOMI Sentinel-5P Greenhouse Data Products (1949277)
Gabrielle Nyirjesy, IBM Research USA, Yorktown Heights, NY, United States, Maciel Zortea, IBM Research Brazil, Rio de Janeiro, Brazil, Levente Klein, IBM Yorktown Heights, Yorktown Heights, United States, Kamal Das, IBM Research India, Delhi, India, Leonardo Pondian Tizzei, IBM Research, Sao Paulo, Brazil, Ildar Khabibrakhmanov, IBM Research, Yorktown Heights, United States, Ted van Kessel, IBM Research USA, Yorktown Heights, United States and Joao Lucas Sousa Almeida, IBM Research, São Paulo, Brazil
 
First MethaneSAT Retrievals of CH4 dry Air Mole Fractions Using the CO2-Proxy Approach: Evaluating Retrieval Accuracy for Single-Pass Emission Inversions (1953287)
Christopher Chan Miller1,2, Sébastien Roche1,2, Jonas Wilzewski3, Xiong Liu4, Bingkun Luo4, David Miller2, Kang Sun5, Nicholas LoFaso1, Christopher Hairfield1, Sasha Ayvazov1, Marcus Russi1, Maya Nasr1,2, David Wells1, Ritesh Gautam1, Jonathan E Franklin2 and Steven C Wofsy2, (1)Environmental Defense Fund, New York, United States, (2)Harvard University, Cambridge, United States, (3)EUMETSAT, Darmstadt, Germany, (4)Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States, (5)University at Buffalo, Research and Education in Energy, Environment and Water Institute, Buffalo, United States
 
Status and initial results of the GOSAT-GW greenhouse gases observation mission (1955197)
Hiroshi Tanimoto1, Tsuneo Matsunaga1, Yu Someya1, Tamaki Fujinawa1, Hirofumi Ohyama1, Isamu Morino1, Hisashi Yashiro1, Takafumi Sugita1, Tazu Saeki1, Yukio Yoshida1, Astrid Müller1, Satoshi Inomata1, Hyunkwang Lim1, Nguyen Doan Thien Chi1, Makoto Saito1, Hibiki Noda1, Yosuke Yamashita1, Yosuke Niwa1, Sachiko Okamoto1, Kohei Ikeda1, Yugo Kanaya2, Takashi Sekiya2, Prabir Kumar Patra2, Masayuki Takigawa2, Masahiro Yamaguchi2, Yasuko Kasai3, Tomohiro Sato3, Yasushi Kojima4, Kei Shiomi4, Michito Sakai4 and Yoshihiko Okamura4, (1)National Institute for Environmental Studies (NIES), Tsukuba, Japan, (2)Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan, (3)National Institute of Information and Communications Technology, Tokyo, Japan, (4)Japan Aerospace Exploration Agency, Tsukuba, Japan
 
GEO-ring for near-global monitoring of extreme methane point sources (1956003)
Tai-Long He1, Daniel J. Varon2, Shobha Kondragunta3, Ye Seul Cho4, Xinrong Ren5, Mark Cohen6, Steven S Brown7, Colm Sweeney8, Daniel J. Jacob9, Tobias de Jong10, Jelmar Gerritsen11, Joannes Maasakkers12, Ilse Aben10, Daniel Cusworth13, Riley Duren14, Daniel Lindsey15, Jeff Peischl16, Brian Carroll17, Nathan Malarich18, Phillip Stratton19, Chuanyu Xu20, Carsten Warneke7, Alan Brewer21 and Sunil Baidar22, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)Massachusetts Institute of Technology, Department of Aeronautics and Astronautics; Institute for Data, Systems, and Society, Cambridge, United States, (3)NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States, (4)University of Maryland College Park, College Park, United States, (5)NOAA, Air Resources Laboratory, College Park, United States, (6)NOAA Air Resources Laboratory, College Park, United States, (7)NOAA Chemical Sciences Laboratory, Boulder, United States, (8)NOAA, Global Monitoring Laboratory, Boulder, United States, (9)Harvard University, School of Engineering and Applied Sciences, Cambridge, United States, (10)SRON Netherlands Institute for Space Research, Leiden, Netherlands, (11)Netherlands Institute for Space Research, Utrecht, Netherlands, (12)SRON Space Research Organization Netherlands, Leiden, Netherlands, (13)Carbon Mapper, Pasadena, United States, (14)Jet Propulsion Laboratory, Pasadena, United States, (15)NOAA/NESDIS/GOES-R, Fort Collins, CO, United States, (16)CIRES, University of Colorado Boulder & NOAA Global Monitoring Laboratory, Boulder, United States, (17)NOAA Chemical Sciences Laboratory & CIRES at University of Colorado Boulder, Boulder, United States, (18)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (19)NOAA Air Resources Laboratory; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, United States, (20)Science and Technology Corporation, Boulder, United States, (21)NOAA/ESRL/CSL, Boulder, United States, (22)University of Colorado at Boulder, Boulder, United States
 
Automated Methane Emission Quantification from Aircraft Hyperspectral Data Using Integrated Mass Enhancement and Multi-Background Correction (1956311)
Parisa Masnadi Khiabani1, Wolfgang Jentner2, Yun Jang3, Charles Nicholson1, Amirhossein Arezoumand1 and David S Ebert2, (1)University of Oklahoma, Norman, United States, (2)University of Arizona, Tucson, United States, (3)Sejong University, Seoul, South Korea
 
First near-real-time estimates of whole-atmosphere greenhouse gases based on OCO-2 and TROPOMI data (1956837)
Brad Weir1, Alex Webb2,3, Emily Bell4,5, Hannah Zafar4, Sourish Basu3,5, Lesley Ott5, Vivienne Payne6, Abhishek Chatterjee7, Christopher O'Dell8, Xin Lan9, John B Miller9, John Mund9,10, Gabrielle Petron11, Michael Alexander Buchwitz12 and Stefan Noel13, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)University of Maryland, Earth System Science Interdisciplinary Center, College Park, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, United States, (6)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (7)California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States, (8)Colorado State University, Fort Collins, United States, (9)NOAA, Global Monitoring Laboratory, Boulder, United States, (10)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (11)University of Colorado, Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (12)University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany, (13)University of Bremen, Bremen, Germany
 
Accounting for topography and albedo biases in remotely sensed methane inverse modeling (1957563)
Ethan D. Kyzivat1, Joshua Simon Benmergui2, Marvin Knapp3,4, Sébastien Roche5, Christopher Chan Miller6, Jacob Bushey3, Eleanor Walker3, Apisada Chulakadabba3, Dr. Zhan Zhang, PhD4, Sasha Ayvazov4, Marcus Russi4, Christopher Hairfield7, Jasna V. Pittman3, Maryann R Sargent8, Bruce Daube3, Jenna Samra9, Jacob Hohl10, Bingkun Luo6, David Miller4, Maya Nasr4, Kang Sun11, Jonathan E Franklin12, Xiong Liu6 and Steven C Wofsy3, (1)Harvard University, Earth and Planetary Sciences, Cambridge, United States, (2)MethaneSAT, LLC, Austin, United States, (3)Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, United States, (4)Environmental Defense Fund, New York, United States, (5)University of Toronto, Department of Physics, Toronto, ON, Canada, (6)Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States, (7)MethaneSAT LLC, Austin, United States, (8)Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, United States, (9)Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, United States, (10)Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, USA, Cambridge, United States, (11)Harvard-Smithsonian Center for Astrophysics, Cambridge, United States, (12)Harvard University, Cambridge, United States
 
Improving the CO₂ Proxy Product from MethaneSAT Using dP and Aerosol Dependencies and Using the Improved Product to Quantify Coal Plant Emissions (1961774)
Eleanor Walker1, Sébastien Roche2, Christopher Chan Miller2, Christopher O'Dell3, Dr. Zhan Zhang, PhD4, Xiong Liu5, Bingkun Luo5, David Miller4, Joshua Simon Benmergui6, Maryann R Sargent7, Ethan D. Kyzivat8, Marvin Knapp9, Maya Nasr4, Sasha Ayvazov4, Marcus Russi4, Christopher Hairfield10, Ethan Manninen11, Jacob Bushey1, Jonathan E Franklin12 and Steven C Wofsy1, (1)Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, United States, (2)Environmental Defense Fund, Harvard University, Cambridge, United States, (3)Colorado State University, Fort Collins, United States, (4)Environmental Defense Fund, New York, United States, (5)Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States, (6)MethaneSAT, LLC, Austin, United States, (7)Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, United States, (8)Harvard University, Earth and Planetary Sciences, Cambridge, United States, (9)Heidelberg University, Institute of Environmental Physics, Heidelberg, Germany, (10)MethaneSAT LLC, Austin, United States, (11)Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, United States, (12)Harvard University, Cambridge, United States
 
Global High-Resolution Methane Plume Monitoring: Developing an Automated Deep Learning Algorithm with Hyperspectral Sensors (1964341)
Seyoung Yang1, Yejin KIM1, Minki Choo1, Hyunyoung Choi1 and Jungho Im2, (1)Ulsan National Institute of Science and Technology, Ulsan, South Korea, (2)Ulsan National Institute of Science and Technology, Civil Urban Earth and Environmental Engineering, Ulsan, South Korea
 
Enhanced Global XCH4 Mapping Through Machine Learning and Multi-sensor Data Fusion (1972273)
Jebun Naher Keya1, Yejin KIM2, Hyunyoung Choi2 and Jungho Im2, (1)Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of (South), (2)Ulsan National Institute of Science and Technology, Ulsan, South Korea
 
Cloud and Cloud Shadow Segmentation of GHGSat Imagery (1973885)
Joshua Sampson, Nathanael Beaudoin-Dion, Arnaud Dury, Lia Formenti, Marianne Girard, Joelene Hales, Dylan Jervis, Jean-Philippe MacLean, Jason McKeever, Frédéric Piedboeuf, Antoine Ramier, Mathias Strupler, Ewan Tarrant and David Young, GHGSat, Inc., Montréal, QC, Canada
 
HITRAN2024: Advancing Remote Sensing through Improved and Extended Spectroscopic Data (1974117)
Iouli Gordon1, Robert Hargreaves1, Fran Gomez2, Thibault Bertin3, Laurence S Rothman4 and HITRAN contributors worldwide, (1)Harvard-Smithsonian Center for Astrophysics, Atomic and Molecular Physics, Cambridge, MA, United States, (2)Harvard-Smithsonian Center for Astrophysics, AMP, Cambridge, United States, (3)Harvard-Smithsonian Center for Astrophysics, Atomic and Molecular Physics, Cambridge, United States, (4)Smithsonian Astrophysical Observatory, Atomic and Molecular Physics, Cambridge, MA, United States
 
The eleven-year OCO-2 and six-year OCO-3 ACOS version 11 XCO2 products: a unified data set for informing global carbon cycle science (1974539)
Christopher O'Dell1, Thomas Taylor1, Vivienne Payne2, Abhishek Chatterjee3, Junjie Liu4, Brendan Fisher5, Robert Rosenberg4, Graziela R. Keller-Rodrigues6, Joshua Laughner7, Matthäus Kiel7, Robert R Nelson5, Gregory McGarragh8 and Dr. Steffen Mauceri4, (1)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (6)Jet Propulsion Laboratory, California Insitute of Technology, Pasadena, United States, (7)California Institute of Technology, Pasadena, United States, (8)Cooperative Institute for Research in the Atmosphere, Fort Collins, United States
 
Tracking and Locating Recent Methane Emissions from China using Satellite Data (1975987)
Ziting Huang1, Leyang Feng2, Ao Chen2 and Scot Miller2, (1)Johns Hopkins University, Environmental Health and Engineering, Baltimore, MD, United States, (2)Johns Hopkins University, Environmental Health and Engineering, Baltimore, United States
 
How rotational Raman scattering in the O2 A-band affects satellite-based GHG measurements (1976892)
Suniti Sanghavi, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, UNITED STATES, Christopher O'Dell, Colorado State University, Fort Collins, United States, Christian Frankenberg, NASA Jet Propulsion Laboratory, Pasadena, United States, Robert R Nelson, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Vivienne Payne, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Abhishek Chatterjee, California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States
 
Evidential Spectroscopic Transformer for Interpretable Methane Retrieval with Quantified Uncertainties (1981333)
William Keely1,2, Jake Lee3, Philip G Brodrick4, David R Thompson4, Jay Fahlen2 and Andrew K Thorpe5, (1)University of Oklahoma, Data Science & Analytics Institute, Norman, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)Jet Propulsion Laboratory, Pasadena, United States
 
Was There a Tropical Land Carbon Sink During 2015-2023? Results from an Ensemble of Global Inversion Models Constrained by OCO-2 Version 11 and the Global In Situ Network. (1987721)
Sean Crowell1, David F Baker2, Ian T Baker2, Sourish Basu3, Abhishek Chatterjee4, Frederic Chevallier5, Fei Jiang6, Zhe Jin7, Matthew S Johnson8, Aleya Kaushik9, Junjie Liu10, Suman Maity11, Shamil S Maksyutov12, Scot Miller13, Kristan Morgan14, Christopher O'Dell15, Sajeev Philip16, Vivienne Payne17, Andrew E Schuh18, Kenneth Schuldt19, Brad Weir20 and David Baker, (1)Organization Not Listed, Washington, DC, United States, (2)Colorado State University, CIRA, Fort Collins, United States, (3)NOAA, Global Monitoring Laboratory, Boulder, United States, (4)California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States, (5)Institut Pierre Simon Laplace, LSCE, Gif-sur-Yvette Cedex, France, (6)Nanjing University, Nanjing, China, (7)Peking University, Beijing, China, (8)Earth Science Division, NASA Ames Research Center, Moffett Field, CA, United States, (9)NOAA/ESRL, Global Monitoring Division, Boulder, CO, United States, (10)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (11)NIES National Institute of Environmental Studies, Ibaraki, Japan, (12)NIES, Tsukuba, Japan, (13)Johns Hopkins University, Environmental Health and Engineering, Baltimore, United States, (14)Johns Hopkins University, Balitmore, United States, (15)Colorado State University, Fort Collins, United States, (16)Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India, (17)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (18)Colorado State University, CIRA, Fort Collins, CO, United States, (19)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (20)NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, MD, United States
 
Carbon-I: Imaging the Carbon Cycle from Space — From point-source detection to global flux inversions. (1995736)
Christian Frankenberg1, Anna Michalak2, Andrew K Thorpe3, Daniel J. Jacob4, Bianca Baier5, Philip G Brodrick6, Lori Bruhwiler7, Robert O Green8, Alison Hoyt9, Ermias Kebreab10, Suniti Sanghavi3, David R Thompson6, Alexander J Turner11, Paul O Wennberg12 and Yi Yin13, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Carnegie Institution for Science Stanford, Department of Global Ecology, Stanford, United States, (3)Jet Propulsion Laboratory, Pasadena, United States, (4)Harvard University, School of Engineering and Applied Sciences, Cambridge, United States, (5)NOAA ESRL Global Monitoring Division, Boulder, United States, (6)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (7)NOAA, Global Monitoring Laboratory, Boulder, United States, (8)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (9)Stanford University, Earth System Science, Stanford, United States, (10)University of California Davis, Davis, CA, United States, (11)University of Washington, Department of Atmospheric and Climate Science, Seattle, United States, (12)California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, United States, (13)New York University, Department of Environmental Studies, New York, United States
 
Simultaneous Retrievals of CO2 and CH4 from MethaneSAT Observations Using a Full Physics Optimal Estimation Approach. (1998446)
Gregory McGarragh1, Christopher O'Dell1, Sean Crowell2, Jonathan E Franklin3, Christopher Chan Miller4, Sébastien Roche4, Kang Sun5 and Stephen Wofsy6, (1)Cooperative Institute for Research in the Atmosphere, Fort Collins, United States, (2)LumenUs Scientific, Oklahoma City, United States, (3)Harvard University, Cambridge, United States, (4)Environmental Defense Fund, Harvard University, Cambridge, United States, (5)University at Buffalo, Research and Education in Energy, Environment and Water Institute, Buffalo, United States, (6)Harvard University, Cambridge, MA, United States
 
A Comprehensive Automated System for Accelerated Operational EMIT Methane Plume Detection (1999072)
Jake Lee1, Brian Bue2, Chuchu Xiang2, Jay Fahlen2, Steven Lu2, Kaylee Wei2,3, Mark Hu2,4, Philip G Brodrick2 and Andrew K Thorpe2, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)California Institute of Technology, Pasadena, United States, (4)California Institute of Technology, Pasadena, CA, United States
 
Sensitivity and Uncertainty Aware Deep Learning for Improved EMIT Methane Plume Detection (1999077)
Kaylee Wei1,2, Brian Bue2, Jake Lee3, Philip G Brodrick2, Jay Fahlen2 and Andrew K Thorpe2, (1)California Institute of Technology, Pasadena, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
Segment Anything Model for EMIT Methane Plume Delineation and Mask Refinement (1999081)
Mark Hu1,2, Brian Bue2, Jake Lee3, Philip G Brodrick2 and Andrew K Thorpe2, (1)California Institute of Technology, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
See more of: Atmospheric Sciences