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Abstract. Exposure to fine particulate matter (PM2.5) is a major contributor to global burden of disease, yet air quality data remain sparse in many low- and middle-income countries, limiting nationwide monitoring and effective policy development. We address this gap by developing a …
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Abstract. Exposure to fine particulate matter (PM2.5) is a major contributor to global burden of disease, yet air quality data remain sparse in many low- and middle-income countries, limiting nationwide monitoring and effective policy development. We address this gap by developing a …
us (code pays fourni par la source)
Joe Adabouk Amooli, Abhishek Anand, Kostas Tsigaridis, Hagninou Elagnon Venance Donnou et autres
Monthly 1 km² surface ozone predictions from the Random Forest model developed in “Machine Learning-Based Prediction of Monthly Surface Ozone Over Sub-Saharan Africa Using Satellite-Derived Precursors, Meteorology, and Surface Measurements.” The model was trained primarily on INDAAF observations from predominantly rural and …
us, Bénin (code pays fourni par la source)
Joe Adabouk Amooli, Abhishek Anand, Kostas Tsigaridis, Hagninou Elagnon Venance Donnou et autres
Monthly 1 km² surface ozone predictions from the Random Forest model developed in “Machine Learning-Based Prediction of Monthly Surface Ozone Over Sub-Saharan Africa Using Satellite-Derived Precursors, Meteorology, and Surface Measurements.” The model was trained primarily on INDAAF observations from predominantly rural and …
us, Bénin (code pays fourni par la source)
Daniel M. Westervelt, Abhishek Anand, Selina Amoah, Benjamin Essien et autres
us (code pays fourni par la source)
Mitchell J. Rogers, Taekyu Joo, David M. Lunderberg, Sina Tayyebi Nia et autres
Understanding the impact of biomass burning, including wildfires, on air quality requires accurate quantification of associated surface-level pollution, which is often underpredicted due to chemical aging and variable confounding sources. Using methodology that incorporates decades of aerosol spectroscopy and isolates biomass burning …
us (code pays fourni par la source)
Polina Goldberg, Abhishek Anand, Daniel Goldberg, Daniel M. Westervelt
On January 5, 2025, New York City implemented the Central Business District Tolling Program (CBDTP), a congestion pricing policy targeting lower Manhattan. We evaluate its air quality effects after one year using ground-based and satellite observations. Using New York City Community Air …
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Y. L. Chang, Ting-Wen Lan, J. X. Prochaska, M. Siudek et autres
This dataset provides the numerical values used to generate the figures in the paper "Tracing the Cosmic Evolution of the Cool Circumgalactic Medium of Luminous Red Galaxies with DESI Year 1 Data". It includes measurements of Mg II covering fractions, LRG–QSO pair …
fr (code pays fourni par la source)
Andrei Cuceu, H. K. Herrera-Alcantar, C. Gordon, C. Ramírez-Pérez et autres
We perform an analysis of the full shapes of Lyman-$α$ (Ly$α$) forest correlation functions measured from the first data release (DR1) of the Dark Energy Spectroscopic Instrument (DESI). Our analysis focuses on measuring the Alcock-Paczynski (AP) effect and the cosmic growth rate …
fr (code pays fourni par la source)
Naim Göksel Karaçaylı, C. Ravoux, Paul Martini, Jean-Marc Le Goff et autres
The Data Release 1 (DR1) of the Dark Energy Spectroscopic Instrument (DESI) is the largest sample to date for small-scale Ly$α$ forest cosmology, accessed through its one-dimensional power spectrum ($P_{\mathrm{1D}}$). The Ly$α$ forest $P_{\mathrm{1D}}$ is extracted from quasar spectra that are highly …
fr (code pays fourni par la source)
This paper answers with intelligent data-lineage agents based on artificial intelligence methods and graph databases, offering a way to transparency and accelerating ETL pipeline analysis.The volumes and heterogeneity of orchestration tools increase they are what make for so many invisible points of …
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Daniel M. Westervelt, Joe Adabouk Amooli, Abhishek Anand
Estimates of air pollution mortality in sub-Saharan Africa are limited by a lack of observations of fine particulate matter (PM 2.5 ). Satellite data represents a promising solution with near-complete spatial coverage and high temporal coverage, but representativeness of surface conditions is …
us (code pays fourni par la source)
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