Zobrazeno 1 - 10
of 381
pro vyhledávání: '"Nesser P"'
Autor:
Balasus, Nicholas, Jacob, Daniel J., Maxemin, Gabriel, Jenks, Carrie, Nesser, Hannah, Maasakkers, Joannes D., Cusworth, Daniel H., Scarpelli, Tia R., Varon, Daniel J., Wang, Xiaolin
We use satellite observations of atmospheric methane from the TROPOMI instrument to estimate total annual methane emissions for 2019-2023 from four large Southeast US landfills with gas collection and control systems. The emissions are on average 6$\
Externí odkaz:
http://arxiv.org/abs/2408.10957
Africa has been identified as a major driver of the current rise in atmospheric methane, and this has been attributed to emissions from wetlands and livestock. Here we show that rapidly increasing rice cultivation is another important source, and est
Externí odkaz:
http://arxiv.org/abs/2307.11232
Autor:
H. Nesser, D. J. Jacob, J. D. Maasakkers, A. Lorente, Z. Chen, X. Lu, L. Shen, Z. Qu, M. P. Sulprizio, M. Winter, S. Ma, A. A. Bloom, J. R. Worden, R. N. Stavins, C. A. Randles
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 5069-5091 (2024)
We quantify 2019 annual mean methane emissions in the contiguous US (CONUS) at 0.25° × 0.3125° resolution by inverse analysis of atmospheric methane columns measured by the Tropospheric Monitoring Instrument (TROPOMI). A gridded version of the US
Externí odkaz:
https://doaj.org/article/b85ba821164245e89563a72696c0e0fb
Publikováno v:
Discover Mental Health, Vol 3, Iss 1, Pp 1-8 (2023)
Abstract Cystic Fibrosis (CF) is a genetic and chronic disease affecting 32,100 people in the United States as of 2021, with a life expectancy of 56 years for people with CF (PwCF) born between 2018 and 2022. While there is extensive literature about
Externí odkaz:
https://doaj.org/article/6519b70b8a8e46e28fed8be142a0008b
Autor:
D. C. Pendergrass, D. J. Jacob, H. Nesser, D. J. Varon, M. Sulprizio, K. Miyazaki, K. W. Bowman
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 4793-4810 (2023)
We present a versatile, powerful, and user-friendly chemical data assimilation toolkit for simultaneously optimizing emissions and concentrations of chemical species based on atmospheric observations from satellites or suborbital platforms. The CHemi
Externí odkaz:
https://doaj.org/article/584311172166456ebbb396cc05a850c6
Autor:
N. Balasus, D. J. Jacob, A. Lorente, J. D. Maasakkers, R. J. Parker, H. Boesch, Z. Chen, M. M. Kelp, H. Nesser, D. J. Varon
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 3787-3807 (2023)
Satellite observations of dry-column methane mixing ratios (XCH4) from shortwave infrared (SWIR) solar backscatter radiation provide a powerful resource to quantify methane emissions in service of climate action. The TROPOspheric Monitoring Instrumen
Externí odkaz:
https://doaj.org/article/c828a75276fe46bf9cae97d13d365442
Autor:
D. J. Varon, D. J. Jacob, B. Hmiel, R. Gautam, D. R. Lyon, M. Omara, M. Sulprizio, L. Shen, D. Pendergrass, H. Nesser, Z. Qu, Z. R. Barkley, N. L. Miles, S. J. Richardson, K. J. Davis, S. Pandey, X. Lu, A. Lorente, T. Borsdorff, J. D. Maasakkers, I. Aben
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 7503-7520 (2023)
We quantify weekly methane emissions at 0.25∘ × 0.3125∘ (≈25 × 25 km2) resolution from the Permian Basin, the largest oil production basin in the US, by inverse analysis of satellite observations from the TROPOspheric Monitoring Instrument (T
Externí odkaz:
https://doaj.org/article/3ea8a26997aa4db99d274be8c9893668
Autor:
Z. Chen, D. J. Jacob, R. Gautam, M. Omara, R. N. Stavins, R. C. Stowe, H. Nesser, M. P. Sulprizio, A. Lorente, D. J. Varon, X. Lu, L. Shen, Z. Qu, D. C. Pendergrass, S. Hancock
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 5945-5967 (2023)
We use 2019 TROPOMI satellite observations of atmospheric methane in an analytical inversion to quantify methane emissions from the Middle East and North Africa at up to ∼25 km × 25 km resolution, using spatially allocated national United Nations
Externí odkaz:
https://doaj.org/article/3e38a3f6a21042d2919f4894dd631550
Publikováno v:
Advanced Science, Vol 10, Iss 26, Pp n/a-n/a (2023)
Abstract Structural health monitoring (SHM) is crucial for ensuring operational safety in applications like pipelines, tanks, aircraft, ships, and vehicles. Traditional embedded sensors have limitations due to expense and potential structural damage.
Externí odkaz:
https://doaj.org/article/3e2800ace9384a93bd9f994f4c021344
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