Statistical interpolation of ozone measurements from satellite data (TOMS, SBUV and SAGE II) using the kriging method

Tranchant, B.; Vincent, Alain

doi:10.1007/s00585-000-0666-x

Cited by 11 publications

(5 citation statements)

References 22 publications

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“…Spatial interpolation, such as inverse-distance weighting (Breton et al 2012) and Kriging (Tranchant and Vincent 2000), was used to estimate ozone exposures for epidemiology studies. Often, a radius threshold is chosen in interpolation (Bell 2006).…”

Section: Introductionmentioning

confidence: 99%

A hybrid model for spatially and temporally resolved ozone exposures in the continental United States

Rowland

Koutrakis

et al. 2016

Journal of the Air & Waste Management Association

113

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Ground-level ozone is an important atmospheric oxidant, which exhibits considerable spatial and temporal variability in its concentration level. Existing modeling approaches for ground-level ozone include chemical transport models, land-use regression, Kriging, and data fusion of chemical transport models with monitoring data. Each of these methods has both strengths and weaknesses. Combining those complementary approaches could improve model performance. Meanwhile, satellite-based total column ozone, combined with ozone vertical profile, is another potential input. We propose a hybrid model that integrates the above variables to achieve spatially and temporally resolved exposure assessments for ground-level ozone. We used a neural network for its capacity to model interactions and nonlinearity. Convolutional layers, which use convolution kernels to aggregate nearby information, were added to the neural network to account for spatial and temporal autocorrelation. We trained the model with AQS 8-hour daily maximum ozone in the continental United States from 2000 to 2012 and tested it with left out monitoring sites. Cross-validated R2 on the left out monitoring sites ranged from 0.74 to 0.80 (mean 0.76) for predictions on 1 km×1 km grid cells, which indicates good model performance. Model performance remains good even at low ozone concentrations. The prediction results facilitate epidemiological studies to assess the health effect of ozone in the long term and the short term.

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Section: Introductionmentioning

confidence: 99%

A hybrid model for spatially and temporally resolved ozone exposures in the continental United States

Rowland

Koutrakis

et al. 2016

Journal of the Air & Waste Management Association

113

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“…Most of these studies focus on a set of factors, such as sediment morphology, storm surges, wave actions, wind-forcing, channelling and port construction as the major contribution factors to coastal erosion. Some studies do not focus on the factors that cause coastal erosion, but evaluate the instrumentation accuracy (Sánchez-Carnero et al, 2012;Dierssen and Theberge, 2014) and bathymetry data interpolation techniques (Tranchant and Vincent, 2000;Giordano et al, 2015) to state the most accurate means and methods to use when conducting bathymetry analysis. Studies regarding Saldanha Bay bathymetry that investigated the impact of dredging and the construction of the causeway and jetty at the Port of Saldanha Bay, found that these anthropogenic factors do affect the morphology and distribution of the sediments that impacts the environment, causing erosion of the Langebaan beaches (Luger et al, 1999;Wiese, 2013).…”

Section: Methodsmentioning

confidence: 99%

Determining the change in the bathymetry of Saldanha Bay due to the harbour construction in the seventies

Henrico¹,

Bezuidenhout²

2022

SA J of Geomatics

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Bathymetry is the science to study and measure the depths of the ocean floor. The differences in water depth, underwater slope and ocean floor structure were investigated using a geographic information system (GIS). This article investigates changes to the hydrodynamic sedimentation processes in Saldanha Bay as a result of the harbour constructions that took place in the early 1970s. The construction of the harbour included the massive dredging operations and resultant relocation of 30 million m3 of soil. Bathymetric data from Saldanha Bay before (1957) and after (1977) the construction of the harbour in the early seventies were analysed and compared in ArcGIS. It was found that the overall depth of the inner part of Saldanha Bay increased with about 1.4 m and that the bottom and slopes were smoothed. The physical structure that was constructed for the harbour had a serious impact on the hydrodynamic sedimentation processes. It was found that these interventions altered the depth profile of the Bay and the article finally draws conclusions on coastal and beach formation, based on the change in the hydrodynamic sedimentation processes of Saldanha Bay.

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“…Kriging is a popular linear least-squares interpolation method widely used in mining, mapping, hydrogeology, and environmental science, (e.g., Bayraktar and Sezer Turalioglu, 2005), as well as remote sensing (Stein et al, 2002;Tranchant and Vincent, 2000). Kriging considers the observations as a realization of a random spatial process.…”

Section: Kriging Interpolation Of Satellite Datamentioning

confidence: 99%

Transport analysis of ozone enhancement in Southern Ontario during BAQS-Met

Tarasick

Hocking

et al. 2011

Atmos. Chem. Phys.

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Abstract. Twice-daily ozonesondes were launched from Harrow, in southwestern Ontario, Canada, during the BAQSMet (Border Air Quality and Meteorology Study) field campaign in June and July of 2007. A co-located radar windprofiler measured tropopause height continuously. These data, in combination with continuous surface ozone measurements and geo-statistical interpolation of satellite ozone observations, present a consistent picture and indicate that a number of significant ozone enhancements in the troposphere were observed that were the result of stratospheric intrusion events. The combined observations have also been compared with results from two Environment Canada numerical models, the operational weather prediction model GEM (as input to FLEXPART), and a new version of the regional air quality model AURAMS, in order to examine the ability of these models to accurately represent sporadic crosstropopause ozone transport events. The models appear to reproduce intrusion events with some skill, implying that GEM dynamics (which also drive AURAMS) are able to represent such events well. There are important differences in the quantitative comparison, however; in particular, the poor vertical resolution of AURAMS around the tropopause causes it to bring down too much ozone in individual intrusions.Correspondence to: H. He (huixia.he@ec.gc.ca) These campaign results imply that stratospheric intrusions are important to the ozone budget of the mid-latitude troposphere, and appear to be responsible for much of the variability of ozone in the free troposphere. GEM-FLEXPART calculations indicate that stratospheric ozone intrusions contributed significantly to surface ozone on several occasions during the BAQS-Met campaign, and made a moderate but significant contribution to the overall tropospheric ozone budget.

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Statistical interpolation of ozone measurements from satellite data (TOMS, SBUV and SAGE II) using the kriging method

Cited by 11 publications

References 22 publications

A hybrid model for spatially and temporally resolved ozone exposures in the continental United States

A hybrid model for spatially and temporally resolved ozone exposures in the continental United States

Determining the change in the bathymetry of Saldanha Bay due to the harbour construction in the seventies

Transport analysis of ozone enhancement in Southern Ontario during BAQS-Met

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