Optimal Estimation of Sulfuryl Fluoride Emissions on Regional and Global Scales Using Advanced 3D Inverse Modeling and AGAGE Observations
Alicia Gressent1, Jens Muhle2, Matthew L Rigby3, Mark F Lunt4, Anita Ganesan4, Ronald G Prinn5, Paul B Krummel6, Paul J. Fraser7, Paul Steele6, Ray F Weiss2, Christina M Harth8, Simon O'Doherty3, Dickon Young3, Sunyoung Park9, Shanlan Li10, Bo Yao11, Stefan Reimann12, Martin K Vollmer13, Michela Maione14, Igor Arduini14 and Chris R Lunder15, (1)Massachusetts Institute of Technology, Center for Global Change Science, Cambridge, MA, United States, (2)Scripps Institution of Oceanography, La Jolla, CA, United States, (3)University of Bristol, School of Chemistry, Bristol, United Kingdom, (4)University of Bristol, Bristol, United Kingdom, (5)Massachusetts Institute of Technology, Center for Sustainability Science and Strategy, Cambridge, United States, (6)CSIRO, Aspendale, Australia, (7)CSIRO, Oceans and Atmosphere, Aspendale, Victoria, Australia, (8)University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States, (9)Kyungpook National University, Daegu, South Korea, (10)Seoul National University, Seoul, Korea, Republic of (South), (11)CAMS Chinese Academy of Meteorological Sciences, Beijing, China, (12)Empa, Swiss Federal Laboratories for Materials Science and Technology, Duebendorf, Switzerland, (13)Empa, Duebendorf, Switzerland, (14)University of Urbino, Urbino, Italy, (15)Norwegian Institute for Air Research, Kjeller, Norway
Scientific Team Name: Advanced Global Atmospheric Gases Experiment
