HelioWebDaniel J. Varon
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A[Daniel J. Varon]
AC["Associated Concepts (25)"]
AW["Authored Works (12)"]
CA["Linked Co-Authors (17)"]
CI["Linked Collaborating Institutions (14)"]
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AW== author ==>A
AW== author ==>CA
AW== affil ==>CI
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click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0002-3207-5731
- OpenAlex ID
- https://openalex.org/A5068521942 (API record)
Associated Concepts [?]
- Geology
- Biology
- Environmental science
- Ecology
- Physics
- Geography
- Chemistry
- Organic chemistry
- Oceanography
- Methane
- Engineering
- Greenhouse gas
- Astronomy
- Meteorology
- Satellite
- Aerospace engineering
- Remote sensing
- Atmospheric methane
- Atmospheric sciences
- Computer science
- Quantum mechanics
- Optics
- Waste management
- Methane emissions
- Climatology
Authored Works
sorted by decreasing year, and then by display-name
- U-Plume: Automated Algorithm for Methane Plume Detection and Source Quantification by Satellite Point Source Imagers
- Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane
- Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations
- Detection and Quantification of Methane Super-Emitters by Combining Multiple Satellite Instruments
- Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations
- Comparison of TROPOMI Satellite Inversions of Methane to Regional-scale Modelling in Canada
- CHEEREIO: A Generalized, Open-source Ensemble-based Chemical Data Assimilation and Emissions Inversion Platform for the GEOS-Chem Chemical Transport Model
- WorldView-3 Satellite Maps Methane Plumes At Very High Spatial Resolution.
- Using TROPOMI to guide high-resolution instruments for detection, identification and quantification of methane super-emitters
- High-Resolution 2019 North American Methane Emissions Inferred from TROPOMI Satellite Observations of Atmospheric Methane
- Automated monitoring of methane super-emitters using multispectral satellite instruments and machine learning.
- An Open-Access, Cloud-Based Facility for Inferring High-Resolution Methane Emissions from Inversion of TROPOMI Satellite Observations
Linked Co-Authors
- A. Anthony Bloom
- Benjamin Hmiel
- Benjamin Poulter
- Drew C. Pendergrass
- Dylan B. A. Jones
- Felix Vogel
- Hannah Nesser
- Itziar Irakulis-Loitxate
- Joannes D. Maasakkers
- Kazuyuki Miyazaki
- Kenneth J. Davis
- Lu Shen
- Margaux Winter
- Tobias Borsdorff
- Xiao Lu
- Z. Barkley
- Zhen Qu
Linked Collaborating Institutions
- Environment Canada
- Free University of Amsterdam, Netherlands
- Harvard University, Massachusetts
- Jet Propulsion Laboratory
- NASA Goddard Space Flight Center, Maryland
- National Sun Yat-sen University, Taiwan
- Netherlands Institute for Space Research
- Peking University, China
- Pennsylvania State University
- Stanford University, California
- Universitat Politecnica de Valencia, Spain
- University of Arizona
- University of Toronto, Canada
- University of Utah
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