Tsuyoshi Thomas Sekiyama
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View article: High ozone concentrations observed along the Persian Gulf coast by Ozone Monitoring Instrument
High ozone concentrations observed along the Persian Gulf coast by Ozone Monitoring Instrument Open
To reveal air pollution conditions in the rapidly urbanizing and industrializing Persian Gulf coastal region, seven years of ozone profile data from the newly improved Ozone Monitoring Instrument (OMI) V2 product were analyzed; a significa…
View article: Dispersion Simulation Using the 1-km Gridded Wind Fields Constructed by Super-Resolution Surrogate Downscaling
Dispersion Simulation Using the 1-km Gridded Wind Fields Constructed by Super-Resolution Surrogate Downscaling Open
View article: Impact of changing the wet deposition schemes in ldx on 137-cs atmosperic deposits after the fukushima accident
Impact of changing the wet deposition schemes in ldx on 137-cs atmosperic deposits after the fukushima accident Open
The Fukushima-Daiichi release of radioactivity is a relevant event to study the atmospheric dispersion modelling of radionuclides. Actually, the atmospheric deposition onto the ground may be studied through the map of measured Cs-137 estab…
View article: Intercomparison of aerosol optical depths from four reanalyses and their multi-reanalysis consensus
Intercomparison of aerosol optical depths from four reanalyses and their multi-reanalysis consensus Open
The emergence of aerosol reanalyses in recent years has facilitated a comprehensive and systematic evaluation of aerosol optical depth (AOD) trends and attribution over multi-decadal timescales. Notable multi-year aerosol reanalyses curren…
View article: Comment on egusphere-2023-2354
Comment on egusphere-2023-2354 Open
Abstract. The emergence of aerosol reanalyses in recent years has facilitated a comprehensive and systematic evaluation of Aerosol Optical Depth (AOD) trends and attribution over multi-decadal timescales. Notable aerosol r…
View article: Development of a Temperature Prediction Method Combining Deep Neural Networks and a Kalman Filter
Development of a Temperature Prediction Method Combining Deep Neural Networks and a Kalman Filter Open
Numerical weather forecast models have biases caused by insufficient grid resolution and incomplete physical processes, especially near the land surface. Therefore, the Japan Meteorological Agency (JMA) has been operationally post-processi…
View article: Supplementary material to "Intercomparison of Aerosol Optical Depths from four reanalyses and their multi-reanalysis-consensus"
Supplementary material to "Intercomparison of Aerosol Optical Depths from four reanalyses and their multi-reanalysis-consensus" Open
View article: Intercomparison of Aerosol Optical Depths from four reanalyses and their multi-reanalysis-consensus
Intercomparison of Aerosol Optical Depths from four reanalyses and their multi-reanalysis-consensus Open
The emergence of aerosol reanalyses in recent years has facilitated a comprehensive and systematic evaluation of Aerosol Optical Depth (AOD) trends and attribution over multi-decadal timescales. Notable aerosol reanalyses currently availab…
View article: Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Superresolution Convolutional Neural Networks
Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Superresolution Convolutional Neural Networks Open
Surrogate modeling is one of the most promising applications of deep learning techniques in meteorology. The purpose of this study was to downscale surface wind fields in a gridded format at a much lower computational load. We employed a s…
View article: The Coupling Between Tropical Meteorology, Aerosol Lifecycle, Convection, and Radiation during the Cloud, Aerosol and Monsoon Processes Philippines Experiment (CAMP2Ex)
The Coupling Between Tropical Meteorology, Aerosol Lifecycle, Convection, and Radiation during the Cloud, Aerosol and Monsoon Processes Philippines Experiment (CAMP2Ex) Open
The NASA Cloud, Aerosol, and Monsoon Processes Philippines Experiment (CAMP 2 Ex) employed the NASA P-3, Stratton Park Engineering Company (SPEC) Learjet 35, and a host of satellites and surface sensors to characterize the coupling of aero…
View article: Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Super-Resolution Convolutional Neural Networks
Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Super-Resolution Convolutional Neural Networks Open
Datasets and source codes for the manuscript "Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Super-Resolution Convolutional Neural Networks" submitted to the journal "Artificial Intelligence for the Earth Systems" of the Ame…
View article: Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Super-Resolution Convolutional Neural Networks
Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Super-Resolution Convolutional Neural Networks Open
Datasets and source codes for the manuscript "Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Super-Resolution Convolutional Neural Networks" submitted to the journal "Artificial Intelligence for the Earth Systems" of the Ame…
View article: Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia
Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia Open
Approximately 50% of the Earth's deserts are covered with stony surfaces, not dunes. The stony surfaces often block or diminish mineral dust aerosol emissions through area fraction and roughness element effects. Incorporating these stone c…
View article: Independent Bias Correction Method for Satellite Observation Data Introduced to CO<sub>2</sub> Flux Inversion
Independent Bias Correction Method for Satellite Observation Data Introduced to CO<sub>2</sub> Flux Inversion Open
Satellite observations are expected to play an important role in studying carbon fluxes. However, it is necessary to properly remove spatiotemporal bias from these observations. In this study, we estimated the spatiotemporal bias in satell…
View article: Effects of Dry Vegetation Coverage Estimated from the MODIS Soil Tillage Index on Dust Occurrence: Verification by Surface Synoptic Observations
Effects of Dry Vegetation Coverage Estimated from the MODIS Soil Tillage Index on Dust Occurrence: Verification by Surface Synoptic Observations Open
In drylands, the dry vegetation coverage affects dust occurrence by modulating threshold friction velocity (or wind speed) for dust emission. However, research into quantifying the effect of dry vegetation coverage on dust occurrence is sc…
View article: Prediction of health effects of Asian dust in Japan
Prediction of health effects of Asian dust in Japan Open
BACKGROUND AND AIM The health effects of cross-border air pollutants and Asian dust are of significant concern in Japan. Currently, models predicting the arrival of aerosols have not investigated the association between arrival predictions…
View article: Changes in Dust Emissions in the Gobi Desert due to Global Warming Using MRI-ESM2.0
Changes in Dust Emissions in the Gobi Desert due to Global Warming Using MRI-ESM2.0 Open
Ensemble future climate projections were performed using the Meteorological Research Institute Earth System Model version 2.0 (MRI-ESM2.0) for sand and dust storms (SDS), which have a significant social, economic, and climatic impact on Ea…
View article: 818Prediction of health effects of Asian dust using the MASINGAR in Japan
818Prediction of health effects of Asian dust using the MASINGAR in Japan Open
Background Health effects of cross-border air pollutants and Asian dust are of significant concern in Japan. Currently, models predicting arrival of aerosols have not investigated the association between arrival predictions and health effe…
View article: Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold
Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold Open
Monitoring of dry vegetation in arid and semi-arid regions is crucial in environmental investigations such as assessments of wind erosion risk, livestock forage, and fire risk. However, there has been little research into estimating the co…
View article: Ensemble Dispersion Simulation of a Point-Source Radioactive Aerosol Using Perturbed Meteorological Fields over Eastern Japan
Ensemble Dispersion Simulation of a Point-Source Radioactive Aerosol Using Perturbed Meteorological Fields over Eastern Japan Open
We conducted single-model initial-perturbed ensemble simulations to quantify uncertainty in aerosol dispersion modeling, focusing on a point-source radioactive aerosol emitted from the Fukushima Daiichi Nuclear Power Plant (FDNPP) in March…
View article: Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables
Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables Open
This study provides comparisons of aerosol representation methods incorporated into a regional-scale nonhydrostatic meteorology–chemistry model (NHM-Chem). Three options for aerosol representations are currently available: the five-categor…
View article: 3rd model intercomparison projects of atmospheric dispersion model for 137Cs emitted from Fukushima Daiichi Nuclear Power Plant, and application of MIPs' results for usage in an emergency
3rd model intercomparison projects of atmospheric dispersion model for 137Cs emitted from Fukushima Daiichi Nuclear Power Plant, and application of MIPs' results for usage in an emergency Open
<p>The 3rd model intercomparison project (MIP) of atmospheric dispersion model targeting on <sup>137</sup>Cs emitted from the Fukushima Daiichi Nuclear Power Plant (FDNPP) in March 2011 was conducted (Sato et al. 2020). N…
View article: Performance of a 250-m Grid Eulerian Dispersion Simulation Evaluated at Two Coastal Monitoring Stations in the Vicinity of the Fukushima Daiichi Nuclear Power Plant
Performance of a 250-m Grid Eulerian Dispersion Simulation Evaluated at Two Coastal Monitoring Stations in the Vicinity of the Fukushima Daiichi Nuclear Power Plant Open
Using two horizontal resolutions (3 km and 250 m), this study examined the performance of Eulerian models in simulating dispersion fields at two coastal monitoring stations in the vicinity of a pollutant source (3.2 km and 17.5 km distant)…
View article: Temporal variations of 90Sr and 137Cs in atmospheric depositions after the Fukushima Daiichi Nuclear Power Plant accident with long-term observations
Temporal variations of 90Sr and 137Cs in atmospheric depositions after the Fukushima Daiichi Nuclear Power Plant accident with long-term observations Open
We have measured artificial radionuclides, such as 90 Sr and 137 Cs, in atmospheric depositions since 1957 in Japan. We observed the variations in 90 Sr and 137 Cs, which were emitted from atmospheric nuclear tests and nuclear power plant …
View article: Supplementary material to "Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables"
Supplementary material to "Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables" Open
View article: Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables
Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables Open
This study provides comparisons of aerosol representation methods incorporated into a regional-scale nonhydrostatic meteorology-chemistry model (NHM-Chem). Three options for aerosol representations are currently available: the 5-category n…
View article: Rain-induced bioecological resuspension of radiocaesium in a polluted forest in Japan
Rain-induced bioecological resuspension of radiocaesium in a polluted forest in Japan Open
It is the conventional understanding that rain removes aerosols from the atmosphere. However, the question of whether rain plays a role in releasing aerosols to the atmosphere has recently been posed by several researchers. In the present …
View article: A model intercomparison of atmospheric 137Cs concentrations from the Fukushima Daiichi Nuclear Power Plant accident, phase III: Simulation with an identical source term and meteorological field at 1-km resolution
A model intercomparison of atmospheric 137Cs concentrations from the Fukushima Daiichi Nuclear Power Plant accident, phase III: Simulation with an identical source term and meteorological field at 1-km resolution Open
View article: Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks
Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks Open
Deep learning, particularly convolutional neural networks for image recognition, has been recently used in meteorology. One of the promising applications is developing a statistical surrogate model that converts the output images of low-re…
View article: Statistical Downscaling of Temperature Distributions from the Synoptic\n Scale to the Mesoscale Using Deep Convolutional Neural Networks
Statistical Downscaling of Temperature Distributions from the Synoptic\n Scale to the Mesoscale Using Deep Convolutional Neural Networks Open
Deep learning, particularly convolutional neural networks for image\nrecognition, has been recently used in meteorology. One of the promising\napplications is developing a statistical surrogate model that converts the\noutput images of low…