Trend of total column ozone over Mexico from TOMS and OMI data (1978-2013)

Vega, José Luis; Martínez, Carlos Ríos; García, Fernando Mireles; Saldívar, Víctor Manuel García; Rangel, J. Ignacio Dávila; Román, Ana Rosa Salazar

doi:10.1016/s0187-6236(14)71114-2

Cited by 5 publications

(3 citation statements)

References 43 publications

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“…Many research efforts employed both overlapping databases (e.g. Herman et al 2009;Pinedo Vega et al 2014). However, for this first stage we decided not to merge the information coming from the two datasets.…”

Section: Methodsmentioning

confidence: 99%

Annual anomalies and trends for TOMS reflectivities (1978–2005) in the Southern Hemisphere

Yuchechen

Lakkis

Canziani

2017

International Journal of Remote Sensing

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Annual anomalies of Lambertian equivalent reflectivity (LER) retrieved from the total ozone mapping spectrometer spanning the period November 1978-November 2005 were studied in the Southern Hemisphere, in a region bounded by 0°S and 60°S, and their trends were estimated. With the exception of few regions where the variable may represent the contribution of both cloudiness and snow, trends in LER anomalies provided an evolution of total cloudiness. On average, the study region experienced a net increase in LER values of 0.78 reflectivity units (RU) decade , was located over the eastern Pacific, off the coasts of Chile and Peru, where the presence of marine stratocumulus is frequent. Despite the overall positive trend there were regions that yielded a negative one, most notably the tropical latitudes of South America and Africa. The yearly zonal means also showed a positive trend at all latitudes, but significance occurred beyond 20°S only. Correlation maps between LER anomalies and five different circulation indices were also introduced. The indices with the highest and lowest number of significant correlation values were the Madden-Julian oscillation at 70°E and the quasi-biennial Oscillation, respectively. ARTICLE HISTORY

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Section: Methodsmentioning

confidence: 99%

Annual anomalies and trends for TOMS reflectivities (1978–2005) in the Southern Hemisphere

Yuchechen

Lakkis

Canziani

2017

International Journal of Remote Sensing

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“…TCO variability has also been studied using remote sensing techniques, mainly satellite data, such as in Silva (2007), where the use of satellite measurements in the study of TCO over Brazil in the last decades is reviewed; Latha and Badarinath (2003), where satellite measurements are used together with ground measurements in the study of TCO content in the atmosphere; Jin et al (2008), where TCO measurements are calculated from geostationary satellite data; Christakos et al (2004), where remote sensing data and empirical models are mixed with existing data bases for TCO mapping; Anton et al (2008), where satellite data from the Global Ozone Monitoring Experiment (GOME) are used to study TCO variability over the Iberian Peninsula; Rajab et al (2013), where satellite measurements of different atmospheric variables are used in ozone prediction over Malaysia;and Pinedo et al (2014) Regarding TCO prediction, different systems and approaches have been proposed, both using numerical and classical statistical methods such as autoregressive approaches (Chattopadhyay, 2009a). In general, TCO prediction with numerical models tends to be more accurate than statistical prediction, but note that alternative statistical-based procedures are also able to obtain a good prediction, in a fraction of time compared to numerical models, and with a smaller infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data

Carro-Calvo¹,

Casanova-Mateo²,

Sanz-Justo³

et al. 2017

Atm

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RESUMENSe propone un nuevo método de pronóstico para la columna total de ozono (CTO) basado en la combinación de algoritmos de vectores de soporte para regresión (VSR) y variables de predicción provenientes del saté-lite de colaboración nacional en órbita polar Suomi, así como de modelos numéricos del Sistema Global de Predicción (SGP) y mediciones directas. Los datos de satélite incluyen perfiles de temperatura y humedad a diferentes alturas, y mediciones de CTO realizadas en los días anteriores al pronóstico. El modelo SGP proporciona datos de temperatura y humedad para el día del pronóstico. El sistema también considera los datos alternos de mediciones in situ, p. ej. de la profundidad óptica de aerosoles a diferentes longitudes de onda. Mediante la metodología VSR se puede obtener un pronóstico exacto de la CTO a partir de estas variables de predicción, con mejores resultados que los obtenidos con otros métodos de regresión, p. ej. redes neuronales. También se efectúa un análisis del mejor subconjunto de características del pronóstico de CTO. La parte experimental de la investigación consiste en la aplicación de VSR a datos de observación directa obtenidos en el laboratorio radiométrico de Madrid, España, donde están disponibles mediciones de ozono adquiridas por medio de un espectrofotómetro Brewer, lo que posibilita el entrenamiento del sistema y la evaluación de sus resultados. ABSTRACTThis paper proposes a novel prediction method for Total Column Ozone (TCO), based on the combination of Support Vector Regression (SVR) algorithms and different predictive variables coming from satellite data (Suomi National Polar-orbiting Partnership satellite), numerical models (Global Forecasting System model, GFS) and direct measurements. Data from satellite consists of temperature and humidity profiles at different heights, and TCO measurements the days before the prediction. GFS model provides predictions of temperature and humidity for the day of prediction. Alternative data measured in situ, such as aerosol optical depth at different wavelengths, are also considered in the system. The SVR methodology is able to obtain an accurate TCO prediction from these predictive variables, outperforming other regression methodologies such as neural networks. Analysis on the best subset of features in TCO prediction is also carried out in this paper. The experimental part of the paper consists in the application of the SVR to real data collected at the radiometric observatory of Madrid, Spain, where ozone measurements obtained with a Brewer spectrophotometer are available, and allow the system's training and the evaluation of its performance.

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“…

As an important chemical component, around 90% of the global ozone is observed in the stratosphere (Pinedo Vega et al, 2014). Stratospheric ozone not only serves as the primary stratospheric heat source by absorbing shortwave ultraviolet (UV) radiation (Chou & Lee, 1996;Zhang et al, 2017), explaining why the stratospheric temperature profile rises with height (Yu et al, 2022), but also plays an essential role in protecting surface life against the threat of solar UV radiation (Langematz, 2019;Slaper et al, 1996; WMO, 2014).

…”

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confidence: 99%

Influence of Asian Topography on the Arctic Stratospheric Ozone

Wang,

Duan,

Pan

2023

JGR Atmospheres

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Evaluating the impact of topography on stratospheric ozone is a crucial step toward achieving a deeper comprehension of the role of topography uplift in driving paleoclimatic evolution and stratospheric dynamics and chemistry. This paper quantitatively estimates the contribution of Asian topography to Arctic stratospheric ozone by topography experiments in the Whole Atmosphere Community Climate Model version 6. The results indicate that Asian topography exerts an especially robust influence on Arctic stratospheric ozone during winter. Compared to the flattened topography, Asian topography significantly increases the ozone by 15% in the lower Arctic stratosphere, accompanied by the highest accumulation of total ozone appearing in the polar region north to the North American continent. The intensified residual mean circulation transport is principally responsible for the increase in ozone, and Asian topography has a stronger impact on the vertical residual mean transport than on the meridional residual mean transport. Further examination demonstrates that the robust strengthening of planetary waves caused by Asian topography significantly contributes to the enhancement of the residual mean circulation. Specifically, the upper Arctic stratosphere experiences a 42.7% increase in the amplitude of planetary waves with wavenumber 1, which means the weakened polar vortex. The diagnosis of the mean Lorenz energy cycle further indicates that Asian topography decreases the zonal mean kinetic energy and increases the eddy kinetic energy in the stratosphere. Therefore, the enhancement of residual mean circulation transport and the weakening of the polar vortex both work together to promote the accumulation of Arctic ozone.

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Trend of total column ozone over Mexico from TOMS and OMI data (1978-2013)

Cited by 5 publications

References 43 publications

Annual anomalies and trends for TOMS reflectivities (1978–2005) in the Southern Hemisphere

Annual anomalies and trends for TOMS reflectivities (1978–2005) in the Southern Hemisphere

Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data

Influence of Asian Topography on the Arctic Stratospheric Ozone

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