DIEZ, SEBASTIÁN CESAR

Preferred name

Main Affiliation

Facultad de Ingeniería

ORCID

0000-0001-9659-0356

Scopus Author ID

56386941700

Goggle Scholar

https://scholar.google.com/citations?hl=es&user=QXBBuiUAAAAJ

Now showing 1 - 10 of 14

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Dataset - QUANT: a long-term multi-city commercial air sensor dataset for performance evaluation
(GITHUB, 2024)
DIEZ, SEBASTIÁN CESAR
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A framework for advancing independent air quality sensor measurements via transparent data generating process classification
(Springer Science and Business Media LLC, 2025-07-29)
DIEZ, SEBASTIÁN CESAR
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Thomas J. Bannan
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Miriam Chacón-Mateos
;
Pete M. Edwards
;
Valerio Ferracci
3
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A new generation of Early Career Researchers in atmospheric chemistry: Navigating a globalized scientific landscape
(University of California Press, 2025)
Maximilien Desservettaz
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Martin Otto Paul Ramacher
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Simone Thirstrup Andersen
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Cybelli Barbosa
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DIEZ, SEBASTIÁN CESAR
<jats:p>As the International Global Atmospheric Chemistry (IGAC) project marks its 35th anniversary, this paper examines the multifaceted experiences of Early Career Researchers (ECRs) navigating the increasingly globalized landscape of atmospheric chemistry. Drawing upon collective insights from the ECR Scientific Steering Committee and quantitative data from a survey of 180 ECRs across 40 countries, we investigate their primary motivations, challenges, and opportunities. Key obstacles identified include systemic difficulties in securing funding and resources, achieving sustainable work–life balance, and uncertainty around long-term career prospects, often compounded by precarious employment conditions. While globalization offers significant avenues for international collaboration, data sharing, and knowledge exchange, it concurrently presents challenges such as heightened competition, visa restrictions, regional disparities, and the risk of inequitable research practices. Despite these hurdles, ECRs are driven by a strong interest in their field, a desire to make a tangible impact on societal concerns, and the appeal of a supportive community. This perspective paper offers actionable insights focused on 4 key pillars: (i) strengthening mentoring programs; (ii) reforming funding mechanisms for improved accessibility and equity; (iii) providing targeted skill development workshops; and (iv) promoting equitable collaborations and advancing the decolonization of research practices. To foster a supportive, inclusive, and sustainable environment for the next generation of atmospheric scientists, this work underscores the urgent need for systemic change and sustained collaborative action by networks such as IGAC, as well as by senior researchers, academic institutions, and funding agencies.</jats:p>
3
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Dataset - Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations
(2025)
DIEZ, SEBASTIÁN CESAR
2
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Open Air Quality Data Platforms for Environmental Health Research and Action
(Springer Science and Business Media LLC, 2025-08-01)
Colleen Marciel Rosales
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Jennifer R. Bratburd
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DIEZ, SEBASTIÁN CESAR
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Sara Duncan
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Carl Malings
3
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Modeling Influence of Population Mobility to Airborne PM2.5 Exposure
(Springer Science and Business Media LLC, 2025-07-18)
María Florencia Tames
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Josefina Urquiza
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Lucas Luciano Berná-Peña
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Salvador Enrique Puliafito
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DIEZ, SEBASTIÁN CESAR
4
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Dataset - Modeling Influence of Population Mobility to Airborne PM2.5 Exposure
(GITHUB, 2025)
DIEZ, SEBASTIÁN CESAR
1
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Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations
(Copernicus GmbH, 2025-01-21)
Sarah E. Hancock
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Daniel J. Jacob
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Zichong Chen
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Hannah Nesser
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Aaron Davitt
<jats:p>Abstract. We use 2021 TROPOMI and GOSAT satellite observations of atmospheric methane in an analytical inversion to quantify national methane emissions from South America at up to 25 km × 25 km resolution. From the inversion, we derive optimal posterior estimates of methane emissions, adjusting a combination of national anthropogenic emission inventories reported by individual countries to the United Nations Framework Convention on Climate Change (UNFCCC), the UNFCCC-based Global Fuel Exploitation Inventory (GFEIv2), and the Emissions Database for Global Atmospheric Research (EDGARv7) as prior estimates. We also evaluate two alternative wetland emission inventories (WetCHARTs and LPJ-wsl) as prior estimates. Our best posterior estimates for wetland emissions are consistent with previous inventories for the Amazon but lower for the Pantanal and higher for the Paraná. Our best posterior estimate of South American anthropogenic emissions is 48 (41–56) Tg a−1, where numbers in parentheses are the range from our inversion ensemble. This is 55 % higher than our prior estimate and is dominated by livestock (65 % of anthropogenic total). We find that TROPOMI and GOSAT observations can effectively optimize and separate national emissions by sector for 10 of the 13 countries and territories in the region, 7 of which account for 93 % of continental anthropogenic emissions: Brazil (19 (16–23) Tg a−1), Argentina (9.2 (7.9–11) Tg a−1), Venezuela (7.0 (5.5–9.9) Tg a−1), Colombia (5.0 (4.4–6.7) Tg a−1), Peru (2.4 (1.6–3.9) Tg a−1), Bolivia (0.96 (0.66–1.2) Tg a−1), and Paraguay (0.93 (0.88–1.0) Tg a−1). Our estimates align with the prior estimates for Brazil, Bolivia, and Paraguay but are significantly higher for other countries. Emissions in all countries are dominated by livestock (mainly enteric fermentation) except for oil–gas in Venezuela and landfills in Peru. Methane intensities from the oil–gas industry are high in Venezuela (33 %), Colombia (6.5 %), and Argentina (5.9 %). The livestock sector shows the largest difference between our top-down estimate and the UNFCCC prior estimates, and even countries using complex bottom-up methods report UNFCCC emissions significantly lower than our posterior estimate. These discrepancies could stem from underestimations in IPCC-recommended bottom-up calculations or uncertainties in the inversion from aggregation error and the prior spatial distribution of emissions. </jats:p>
Scopus© Citations 2 6
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Study of the Suitability of a Personal Exposure Monitor to Assess Air Quality
(2024)
Halah E. Aljofi
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Thomas J. Bannan
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Michael Flynn
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James Evans
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David Topping
<jats:p>Low-cost personal exposure monitors (PEMs) to measure personal exposure to air pollution are potentially promising tools for health research. However, their adoption requires robust validation. This study evaluated the performance of twenty-one Plume Lab Flow2s (PLFs) by comparing its air pollutant measurements, particulate matter with a diameter of 2.5 μm or less (PM2.5), 10 μm or less (PM10), and nitrogen dioxide (NO2), against several high-quality air pollution monitors under field conditions (at indoor, outdoor, and roadside locations). Correlation and regression analysis were used to evaluate measurements obtained by different PLFs against reference instrumentation. For all measured pollutants, the overall correlation coefficient between the PLFs and the reference instruments was often weak (r < 0.4). Moderate correlation was observed for one PLF unit at the indoor location and two units at the roadside location when measuring PM2.5, but not for PM10 and NO2 concentration. During periods of particularly higher pollution, 11 PLF tools showed stronger regression results (R2 values > 0.5) with one-hour and 9 PLF units with one-minute time interval. Results show that the PLF cannot be used robustly to determine high and low exposure to poor air. Therefore, the use of PLFs in research studies should be approached with caution if data quality is important to the research outputs.</jats:p>
2Scopus© Citations 4
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Neighborhood-scale relationships between urban land-cover patterns and fine particulate matter revealed by dense low-cost sensor networks in Santiago, Chile
(Elsevier BV, 2026-06)
Ignacio C. Fernández
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DIEZ, SEBASTIÁN CESAR
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Andrés González
1

DIEZ, SEBASTIÁN CESAR

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