Jason Blake Cohen
Biographic Data
| ID | 4888265 |
|---|---|
| NAME | Jason Blake Cohen |
| GIVEN NAMES | Jason Blake |
| FAMILY NAME | Cohen |
| SIGNATURE | COHEN J B |
| AFFILIATIONS | Sun Yat-sen University |
| ORCID | 0000-0002-9889-8175 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1927 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Improving estimation of surface PM 2.5 by including satellite observations of gases, aerosols, and radiation in tandem
Shanxi Province, a major hub of coal production and industrial activity in China, faces severe PM 2.5 pollution and complex co-emission sources that challenge air quality monitoring. This study developed multiple machine learning models to estimate daily PM 2.5 concentrations in 2022 by integrating ground-based PM 2.5 observations, Himawari-8 measurements, CO, NO 2 and ultraviolet aerosol index (UVAI) derived from the TROPOspheric Monitoring Inst…
Focus on atmospheric remote sensing and environmental change
A new perspective on the spatial, temporal, and vertical distribution of biomass burning: Quantifying a significant increase in CO emissions
A variance-maximization approach based on 19 years of weekly measurements of pollution in the troposphere carbon monoxide (CO) measurements quantifies the spatial-temporal distribution of global biomass burning. Seven regions consistent with existing datasets are discovered and shown to burn for longer, over a more widespread area. Each region has a unique and recurring burning season, with three dominated by inter- and intra-annual variation. Th…
High-resolution spatiotemporal patterns of China’s FFCO 2 emissions under the impact of Lucc from 2000 to 2015
Fossil fuel carbon dioxide (FFCO 2 ) emissions have become a principal driver behind the increase of atmospheric CO 2 concentration and spatiotemporal variations of atmospheric CO 2 in the urban surface layer. This study quantifies the 2000–2015 urban high-resolution spatiotemporal patterns of China’s FFCO 2 emissions under the impact of the land-use and land-cover change. Multi-source data were used together with various up-to-date geostatistics…
Spatially and temporally coherent reconstruction of tropospheric NO 2 over China combining OMI and Gome-2B measurements
Tropospheric NO 2 columns retrieved from ozone monitoring instrument (OMI) are widely used, even though there is a significant loss of spatial coverage due to multiple factors. This work introduces a framework for reconstructing gaps in the OMI NO 2 data over China by using machine learning and an adaptive weighted temporal fitting method with NO 2 measurements from Global Ozone Monitoring Experiment–2B, and surface measurements. The reconstructe…
Improving the understanding between climate variability and observed extremes of global NO 2 over the past 15 years
This work addresses the relationship between major dynamical forcings and variability in NO 2 column measurements. The dominating impact in Northern Southeast Asia is due to El Niño-Southern Oscillation (ENSO); in Indonesia, Northern Australia and South America is due to Indian Ocean Dipole (IOD); and in Southern China Land and Sea, Populated Northern China, Siberia, Northern and Arctic Eurasia, Central and Southern Africa, and Western US and Can…
Quantifying the occurrence and magnitude of the Southeast Asian fire climatology
Current emissions inventories of black carbon aerosol, an important component of PM2.5 and a powerful climate altering species, are highly uncertain in both space and time. One of the major and hardest to constrain sources of black carbon is fire, which comes from a combination of forest, vegetation, agricultural, and peat sources. Therefore, quantifying this source more precisely in both space and time is essential. While there is a growing body…
The Smoke Problem
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The Smoke Problem
Quantifying the occurrence and magnitude of the Southeast Asian fire climatology
Current emissions inventories of black carbon aerosol, an important component of PM2.5 and a powerful climate altering species, are highly uncertain in both space and time. One of the major and hardest to constrain sources of black carbon is fire, which comes from a combination of forest, vegetation, agricultural, and peat sources. Therefore, quantifying this source more precisely in both space and time is essential. While there is a growing body…
A new perspective on the spatial, temporal, and vertical distribution of biomass burning: Quantifying a significant increase in CO emissions
A variance-maximization approach based on 19 years of weekly measurements of pollution in the troposphere carbon monoxide (CO) measurements quantifies the spatial-temporal distribution of global biomass burning. Seven regions consistent with existing datasets are discovered and shown to burn for longer, over a more widespread area. Each region has a unique and recurring burning season, with three dominated by inter- and intra-annual variation. Th…
High-resolution spatiotemporal patterns of China’s FFCO 2 emissions under the impact of Lucc from 2000 to 2015
Fossil fuel carbon dioxide (FFCO 2 ) emissions have become a principal driver behind the increase of atmospheric CO 2 concentration and spatiotemporal variations of atmospheric CO 2 in the urban surface layer. This study quantifies the 2000–2015 urban high-resolution spatiotemporal patterns of China’s FFCO 2 emissions under the impact of the land-use and land-cover change. Multi-source data were used together with various up-to-date geostatistics…
Spatially and temporally coherent reconstruction of tropospheric NO 2 over China combining OMI and Gome-2B measurements
Tropospheric NO 2 columns retrieved from ozone monitoring instrument (OMI) are widely used, even though there is a significant loss of spatial coverage due to multiple factors. This work introduces a framework for reconstructing gaps in the OMI NO 2 data over China by using machine learning and an adaptive weighted temporal fitting method with NO 2 measurements from Global Ozone Monitoring Experiment–2B, and surface measurements. The reconstructe…
Improving the understanding between climate variability and observed extremes of global NO 2 over the past 15 years
This work addresses the relationship between major dynamical forcings and variability in NO 2 column measurements. The dominating impact in Northern Southeast Asia is due to El Niño-Southern Oscillation (ENSO); in Indonesia, Northern Australia and South America is due to Indian Ocean Dipole (IOD); and in Southern China Land and Sea, Populated Northern China, Siberia, Northern and Arctic Eurasia, Central and Southern Africa, and Western US and Can…
Improving estimation of surface PM 2.5 by including satellite observations of gases, aerosols, and radiation in tandem
Shanxi Province, a major hub of coal production and industrial activity in China, faces severe PM 2.5 pollution and complex co-emission sources that challenge air quality monitoring. This study developed multiple machine learning models to estimate daily PM 2.5 concentrations in 2022 by integrating ground-based PM 2.5 observations, Himawari-8 measurements, CO, NO 2 and ultraviolet aerosol index (UVAI) derived from the TROPOspheric Monitoring Inst…
Focus on atmospheric remote sensing and environmental change
Atmospheric chemistry and aerosols (7 works) · Atmospheric and Environmental Gas Dynamics (6 works) · Environmental Science (6 works) · Geography (6 works) · Geology (6 works) · Climatology (4 works) · Meteorology (4 works) · Remote sensing (4 works) · Aerosol (3 works) · Air Quality and Health Impacts (3 works)