J
Jonathan J. Seibert
Researcher at Joint Global Change Research Institute
Publications - 5
Citations - 1075
Jonathan J. Seibert is an academic researcher from Joint Global Change Research Institute. The author has contributed to research in topics: Image (mathematics) & Ensemble forecasting. The author has an hindex of 2, co-authored 4 publications receiving 602 citations.
Papers
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Journal ArticleDOI
Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS)
Rachel Hoesly,Steven J. Smith,Leyang Feng,Zbigniew Klimont,Greet Janssens-Maenhout,Tyler Pitkanen,Jonathan J. Seibert,Linh Vu,Robert J. Andres,Ryan M. Bolt,Tami C. Bond,Laura Dawidowski,Nazar Kholod,J. Kurokawa,Meng Li,Liang Y. Liu,Zifeng Lu,Maria Cecilia P. Moura,Patrick R. O'Rourke,Qiang Zhang +19 more
TL;DR: In this paper, the authors present a new data set of annual historical (1750-2014) anthropogenic chemically reactive gases (CO, CH4, NH3, NOx, SO2, NMVOCs), carbonaceous aerosols (black carbon BC, and organic carbon OC), and CO2 developed with the Community Emissions Data System (CEDS).
Journal ArticleDOI
Sigmoid Volvulus in Childhood
TL;DR: Sigmoid resection is the definitive treatment for children as well as adults, but nonoperative decompression to allow for elective resection should be attempted in patients who have no evidence of peritonitis.
DatasetDOI
input4MIPs.CMIP6.CMIP.PNNL-JGCRI.CEDS-2017-08-30
Rachel Hoesly,Steven J. Smith,Leyang Feng,Zbigniew Klimont,Greet Janssens-Maenhout,Tyler Pitkanen,Jonathan J. Seibert,Linh Vu,Robert J. Andres,Ryan M. Bolt,Tami C. Bond,Laura Dawidowski,Nazar Kholod,Jun-ichi Kurokawa,Meng Li,Liang Y. Liu,Zifeng Lu,Maria Cecilia P. Moura,Patrick R. O'Rourke,Qiang Zhang +19 more
CEDS v_2019_12_23 Emission Data
Rachel Hoesly,Patrick R. O'Rourke,Steven J. Smith,Leyang Feng,Zbigniew Klimont,Greet Janssens-Maenhout,Tyler Pitkanen,Jonathan J. Seibert,Linh Vu,Robert J. Andres,Ryan M. Bolt,Tami C. Bond,Laura Dawidowski,Nazar Kholod,J. Kurokawa,Meng Li,Liang Y. Liu,Zifeng Lu,Maria Cecilia P. Moura,Qiang Zhang,Ben Goldstein,Presley Muwan +21 more
Journal ArticleDOI
Applications of the Geometry-Sensitive Ensemble Mean for Lake-Effect Snowbands and Other Weather Phenomena
TL;DR: In this paper , the authors apply low-intensity thresholding to radar reflectivity images of lake-effect snowbands, tropical cyclones, and severe thunderstorms and then process them with the object-based Geometry-Sensitive Ensemble Mean (GEM) system.