dor_id: 4119555

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Atmósfera", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, Web Of Science (WoS); SCImago Journal Rank (SJR)

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650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

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351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

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270.#.#.d: MX

270.1.#.d: México

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883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/ATM.52696/46744

100.1.#.a: Maldonado-pacheco, Gilberto; García-reynoso, José Agustín; Stremme, Wolfgang; Ruiz-suárez, Luis Gerardo; García-yee, José Santos; Clerbaux, Cathy; Coheur, Pierre -françois

524.#.#.a: Maldonado-pacheco, Gilberto, et al. (2021). Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study. Atmósfera; Vol. 34 No. 2, 2021; 157-170. Recuperado de https://repositorio.unam.mx/contenidos/4119555

720.#.#.a: Miztli Supercómputo, UNAMLATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris, France

245.1.0.a: Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

264.#.0.c: 2021

264.#.1.c: 2021-03-27

653.#.#.a: CO column; averaging kernel; scaling factor; IASI; WRF-chem

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/ATM.52696

001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/52696

041.#.7.h: eng

520.3.#.a: This paper quantifies and reduces the differences in emissions from the 2008 inventory with respect to the real ones through the use of satellite observations and modeling. Carbon monoxide column comparisons from the Infrared Atmospheric Sounding Interferometer (IASI) satellite data were made against columns obtained from the WRF-Chem model, during February 2011. The analysis was carried out at the satellite passage local time (approximately 10:00 LT) over Mexico City. The 2008 National Emissions Inventory generated by the Mexican Ministry of Environment and Natural Resources was utilized. An inversion method was applied to the modeled and observed column data. With the above, scaling factors were obtained for five regions and the concentration from the model domain boundaries, which were used to update the emissions. These were used in modeling and the result was compared with surface measurements. For Mexico City and the Metropolitan Area, a scaling factor equal to 0.43 was obtained when using the 2008 emissions inventory; for Toluca, Morelos and Puebla, a less than one factor was estimated, while for Hidalgo and the concentration from model boundaries it was close to two. The model performance was improved by an increment in the agreement index and a reduction on the mean square error when the updated CO emissions were used.

773.1.#.t: Atmósfera; Vol. 34 No. 2 (2021); 157-170

773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index

046.#.#.j: 2021-10-20 00:00:00.000000

022.#.#.a: ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

310.#.#.a: Trimestral

300.#.#.a: Páginas: 157-170

264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

doi: https://doi.org/10.20937/ATM.52696

handle: 2b9df0f4d717e5e6

harvesting_date: 2023-06-20 16:00:00.0

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Artículo

Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study

Maldonado-pacheco, Gilberto; García-reynoso, José Agustín; Stremme, Wolfgang; Ruiz-suárez, Luis Gerardo; García-yee, José Santos; Clerbaux, Cathy; Coheur, Pierre -françois

Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Maldonado-pacheco, Gilberto, et al. (2021). Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study. Atmósfera; Vol. 34 No. 2, 2021; 157-170. Recuperado de https://repositorio.unam.mx/contenidos/4119555

Descripción del recurso

Autor(es)
Maldonado-pacheco, Gilberto; García-reynoso, José Agustín; Stremme, Wolfgang; Ruiz-suárez, Luis Gerardo; García-yee, José Santos; Clerbaux, Cathy; Coheur, Pierre -françois
Colaborador(es)
Miztli Supercómputo, UNAMLATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris, France
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study
Fecha
2021-03-27
Resumen
This paper quantifies and reduces the differences in emissions from the 2008 inventory with respect to the real ones through the use of satellite observations and modeling. Carbon monoxide column comparisons from the Infrared Atmospheric Sounding Interferometer (IASI) satellite data were made against columns obtained from the WRF-Chem model, during February 2011. The analysis was carried out at the satellite passage local time (approximately 10:00 LT) over Mexico City. The 2008 National Emissions Inventory generated by the Mexican Ministry of Environment and Natural Resources was utilized. An inversion method was applied to the modeled and observed column data. With the above, scaling factors were obtained for five regions and the concentration from the model domain boundaries, which were used to update the emissions. These were used in modeling and the result was compared with surface measurements. For Mexico City and the Metropolitan Area, a scaling factor equal to 0.43 was obtained when using the 2008 emissions inventory; for Toluca, Morelos and Puebla, a less than one factor was estimated, while for Hidalgo and the concentration from model boundaries it was close to two. The model performance was improved by an increment in the agreement index and a reduction on the mean square error when the updated CO emissions were used.
Tema
CO column; averaging kernel; scaling factor; IASI; WRF-chem
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces