Tomohiro Oda
Biographic Data
| ID | 7992273 |
|---|---|
| NAME | Tomohiro Oda |
| GIVEN NAMES | Tomohiro |
| FAMILY NAME | Oda |
| SIGNATURE | ODA T |
| AFFILIATIONS | Universities Space Research Association |
| ORCID | 0000-0002-8328-3020 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Toward a satellite-based monitoring system for urban CO 2 emissions in support of global collective climate mitigation actions
Over the past decade, 1000s of cities have pledged reductions in carbon dioxide emissions. However, tracking progress toward these pledges has largely relied exclusively on activity-based, self-reported emissions inventories, which often underestimate emissions due to incomplete accounting. Furthermore, the lack of a consistent framework that may be deployed broadly, across political boundaries, hampers understanding of changes in both city-scale…
Potentially underestimated gas flaring activities—a new approach to detect combustion using machine learning and Nasa’s Black Marble product suite
Monitoring changes in greenhouse gas (GHG) emission is critical for assessing climate mitigation efforts towards the Paris Agreement goal. A crucial aspect of science-based GHG monitoring is to provide objective information for quality assurance and uncertainty assessment of the reported emissions. Emission estimates from combustion events (gas flaring and biomass burning) are often calculated based on activity data (AD) from satellite observatio…
A top-down estimation of subnational CO 2 budget using a global high-resolution inverse model with data from regional surface networks
Top-down approaches, such as atmospheric inversions, are a promising tool for evaluating emission estimates based on activity-data. In particular, there is a need to examine carbon budgets at subnational scales (e.g. state/province), since this is where the climate mitigation policies occur. In this study, the subnational scale anthropogenic CO 2 emissions are estimated using a high-resolution global CO 2 inverse model. The approach is distinctiv…
Building a bridge: Characterizing major anthropogenic point sources in the South African Highveld region using OCO-3 carbon dioxide snapshot area maps and Sentinel-5P/TROPOMI nitrogen dioxide columns
In this paper, we characterize major anthropogenic point sources in the South African Highveld region using Orbiting Carbon Observatory-3 (OCO-3) Snapshot Area Map (SAM) carbon dioxide (CO 2 ) and Sentinel-5 Precursor (S5P) TROPOspheric Monitoring Instrument (TROPOMI) nitrogen dioxide (NO 2 ) observations. Altogether we analyze six OCO-3 SAMs. We estimate the emissions of six power stations (Kendal, Kriel, Matla, Majuba, Tutuka and Grootvlei) and…
Assumptions about prior fossil fuel inventories impact our ability to estimate posterior net CO 2 fluxes that are needed for verifying national inventories
Monitoring national and global greenhouse gas (GHG) emissions is a critical component of the Paris Agreement, necessary to verify collective activities to reduce GHG emissions. Top-down approaches to infer GHG emission estimates from atmospheric data are widely recognized as a useful tool to independently verify emission inventories reported by individual countries under the United Nation Framework Convention on Climate Change. Conventional top-d…
Assessing progress toward the Paris climate agreement from space
Global to local impacts on atmospheric CO 2 from the Covid-19 lockdown, biosphere and weather variabilities
The worldwide lockdown in response to the COVID-19 pandemic in year 2020 led to an economic slowdown and a large reduction in fossil fuel CO 2 emissions (Le Quéré 2020 Nat. Clim. Change 10 647–53, Liu 2020 Nat. Commun. 11 ); however, it is unclear how much it would slow the increasing trend of atmospheric CO 2 concentration, the main driver of climate change, and whether this impact can be observed considering the large biosphere and weather vari…
Errors and uncertainties associated with the use of unconventional activity data for estimating CO 2 emissions: The case for traffic emissions in Japan
CO 2 emissions from fossil fuel combustion (FFCO2) are conventionally estimated from fuel used (as activity data (AD)) and CO 2 emissions factor. Recent traffic emission changes under the impact of the COVID-19 pandemic have been estimated using emerging non-fuel consumption data, such as human mobility data that tech companies reported as AD, due to the unavailability of timely fuel statistics. The use of such unconventional activity data (UAD) …
The impacts of fossil fuel emission uncertainties and accounting for 3-D chemical CO 2 production on inverse natural carbon flux estimates from satellite and in situ data
Atmospheric carbon dioxide (CO _2 ) inversions for estimating natural carbon fluxes typically do not allow for adjustment of fossil fuel CO _2 emissions, despite significant uncertainties in emission inventories and inadequacies in the specification of international bunker emissions in inversions. Also, most inversions place CO _2 release from fossil fuel combustion and biospheric sources entirely at the surface. However, a non-negligible portion…
Space-based quantification of per capita CO 2 emissions from cities
Urban areas are currently responsible for ∼70% of the global energy-related carbon dioxide (CO 2 ) emissions, and rapid ongoing global urbanization is increasing the number and size of cities. Thus, understanding city-scale CO 2 emissions and how they vary between cities with different urban densities is a critical task. While the relationship between CO 2 emissions and population density has been explored widely in prior studies, their conclusio…
Bayesian inverse estimation of urban CO2 emissions: Results from a synthetic data simulation over Salt Lake City, UT
Top-down, data-driven models possess ample power to improve the accuracy of bottom-up carbon dioxide (CO2) emission inventories, and more work is needed to explore the merger of top-down and bottom-up estimates to better inform the metrics used to monitor global CO2 fluxes. Here we present a Bayesian inverse modeling framework over Salt Lake City, Utah, which utilizes available CO2 emission inventories to establish a synthetic data simulation aim…
The Open-source Data Inventory for Anthropogenic CO 2 , version 2016 (Odiac2016): A global monthly fossil fuel CO 2 gridded emissions data product for tracer transport simulations and surface flux inv…
The Open-source Data Inventory for Anthropogenic CO2 (ODIAC) is a global high-spatial-resolution gridded emissions data product that distributes carbon dioxide (CO2) emissions from fossil fuel combustion. The emissions spatial distributions are estimated at a 1 × 1 km spatial resolution over land using power plant profiles (emissions intensity and geographical location) and satellite-observed nighttime lights. This paper describes the year 2016 v…
On the impact of granularity of space-based urban CO2 emissions in urban atmospheric inversions: A Case Study for Indianapolis, In
Quantifying greenhouse gas (GHG) emissions from cities is a key challenge towards effective emissions management. An inversion analysis from the INdianapolis FLUX experiment (INFLUX) project, as the first of its kind, has achieved a top-down emission estimate for a single city using CO2 data collected by the dense tower network deployed across the city. However, city-level emission data, used as a priori emissions, are also a key component in the…
A very high-resolution (1 km×1 km) global fossil fuel CO 2 emission inventory derived using a point source database and satellite observations of nighttime lights
Emissions of CO2 from fossil fuel combustion are a critical quantity that must be accurately given in established flux inversion frameworks. Work with emerging satellite-based inversions requires spatiotemporally-detailed inventories that permit analysis of regional natural sources and sinks. Conventional approaches for disaggregating national emissions beyond the country and city levels based on population distribution have certain difficulties …
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A very high-resolution (1 km×1 km) global fossil fuel CO 2 emission inventory derived using a point source database and satellite observations of nighttime lights
Emissions of CO2 from fossil fuel combustion are a critical quantity that must be accurately given in established flux inversion frameworks. Work with emerging satellite-based inversions requires spatiotemporally-detailed inventories that permit analysis of regional natural sources and sinks. Conventional approaches for disaggregating national emissions beyond the country and city levels based on population distribution have certain difficulties …
On the impact of granularity of space-based urban CO2 emissions in urban atmospheric inversions: A Case Study for Indianapolis, In
Quantifying greenhouse gas (GHG) emissions from cities is a key challenge towards effective emissions management. An inversion analysis from the INdianapolis FLUX experiment (INFLUX) project, as the first of its kind, has achieved a top-down emission estimate for a single city using CO2 data collected by the dense tower network deployed across the city. However, city-level emission data, used as a priori emissions, are also a key component in the…
The Open-source Data Inventory for Anthropogenic CO 2 , version 2016 (Odiac2016): A global monthly fossil fuel CO 2 gridded emissions data product for tracer transport simulations and surface flux inv…
The Open-source Data Inventory for Anthropogenic CO2 (ODIAC) is a global high-spatial-resolution gridded emissions data product that distributes carbon dioxide (CO2) emissions from fossil fuel combustion. The emissions spatial distributions are estimated at a 1 × 1 km spatial resolution over land using power plant profiles (emissions intensity and geographical location) and satellite-observed nighttime lights. This paper describes the year 2016 v…
Bayesian inverse estimation of urban CO2 emissions: Results from a synthetic data simulation over Salt Lake City, UT
Top-down, data-driven models possess ample power to improve the accuracy of bottom-up carbon dioxide (CO2) emission inventories, and more work is needed to explore the merger of top-down and bottom-up estimates to better inform the metrics used to monitor global CO2 fluxes. Here we present a Bayesian inverse modeling framework over Salt Lake City, Utah, which utilizes available CO2 emission inventories to establish a synthetic data simulation aim…
The impacts of fossil fuel emission uncertainties and accounting for 3-D chemical CO 2 production on inverse natural carbon flux estimates from satellite and in situ data
Atmospheric carbon dioxide (CO _2 ) inversions for estimating natural carbon fluxes typically do not allow for adjustment of fossil fuel CO _2 emissions, despite significant uncertainties in emission inventories and inadequacies in the specification of international bunker emissions in inversions. Also, most inversions place CO _2 release from fossil fuel combustion and biospheric sources entirely at the surface. However, a non-negligible portion…
Space-based quantification of per capita CO 2 emissions from cities
Urban areas are currently responsible for ∼70% of the global energy-related carbon dioxide (CO 2 ) emissions, and rapid ongoing global urbanization is increasing the number and size of cities. Thus, understanding city-scale CO 2 emissions and how they vary between cities with different urban densities is a critical task. While the relationship between CO 2 emissions and population density has been explored widely in prior studies, their conclusio…
Global to local impacts on atmospheric CO 2 from the Covid-19 lockdown, biosphere and weather variabilities
The worldwide lockdown in response to the COVID-19 pandemic in year 2020 led to an economic slowdown and a large reduction in fossil fuel CO 2 emissions (Le Quéré 2020 Nat. Clim. Change 10 647–53, Liu 2020 Nat. Commun. 11 ); however, it is unclear how much it would slow the increasing trend of atmospheric CO 2 concentration, the main driver of climate change, and whether this impact can be observed considering the large biosphere and weather vari…
Errors and uncertainties associated with the use of unconventional activity data for estimating CO 2 emissions: The case for traffic emissions in Japan
CO 2 emissions from fossil fuel combustion (FFCO2) are conventionally estimated from fuel used (as activity data (AD)) and CO 2 emissions factor. Recent traffic emission changes under the impact of the COVID-19 pandemic have been estimated using emerging non-fuel consumption data, such as human mobility data that tech companies reported as AD, due to the unavailability of timely fuel statistics. The use of such unconventional activity data (UAD) …
Assessing progress toward the Paris climate agreement from space
Potentially underestimated gas flaring activities—a new approach to detect combustion using machine learning and Nasa’s Black Marble product suite
Monitoring changes in greenhouse gas (GHG) emission is critical for assessing climate mitigation efforts towards the Paris Agreement goal. A crucial aspect of science-based GHG monitoring is to provide objective information for quality assurance and uncertainty assessment of the reported emissions. Emission estimates from combustion events (gas flaring and biomass burning) are often calculated based on activity data (AD) from satellite observatio…
A top-down estimation of subnational CO 2 budget using a global high-resolution inverse model with data from regional surface networks
Top-down approaches, such as atmospheric inversions, are a promising tool for evaluating emission estimates based on activity-data. In particular, there is a need to examine carbon budgets at subnational scales (e.g. state/province), since this is where the climate mitigation policies occur. In this study, the subnational scale anthropogenic CO 2 emissions are estimated using a high-resolution global CO 2 inverse model. The approach is distinctiv…
Building a bridge: Characterizing major anthropogenic point sources in the South African Highveld region using OCO-3 carbon dioxide snapshot area maps and Sentinel-5P/TROPOMI nitrogen dioxide columns
In this paper, we characterize major anthropogenic point sources in the South African Highveld region using Orbiting Carbon Observatory-3 (OCO-3) Snapshot Area Map (SAM) carbon dioxide (CO 2 ) and Sentinel-5 Precursor (S5P) TROPOspheric Monitoring Instrument (TROPOMI) nitrogen dioxide (NO 2 ) observations. Altogether we analyze six OCO-3 SAMs. We estimate the emissions of six power stations (Kendal, Kriel, Matla, Majuba, Tutuka and Grootvlei) and…
Assumptions about prior fossil fuel inventories impact our ability to estimate posterior net CO 2 fluxes that are needed for verifying national inventories
Monitoring national and global greenhouse gas (GHG) emissions is a critical component of the Paris Agreement, necessary to verify collective activities to reduce GHG emissions. Top-down approaches to infer GHG emission estimates from atmospheric data are widely recognized as a useful tool to independently verify emission inventories reported by individual countries under the United Nation Framework Convention on Climate Change. Conventional top-d…
Toward a satellite-based monitoring system for urban CO 2 emissions in support of global collective climate mitigation actions
Over the past decade, 1000s of cities have pledged reductions in carbon dioxide emissions. However, tracking progress toward these pledges has largely relied exclusively on activity-based, self-reported emissions inventories, which often underestimate emissions due to incomplete accounting. Furthermore, the lack of a consistent framework that may be deployed broadly, across political boundaries, hampers understanding of changes in both city-scale…
Environmental Science (14 works) · Atmospheric and Environmental Gas Dynamics (13 works) · Greenhouse gas (12 works) · Atmospheric sciences (10 works) · Atmospheric chemistry and aerosols (9 works) · Geography (9 works) · Meteorology (9 works) · Geology (8 works) · Emission inventory (6 works) · Engineering (6 works)