Accounting for Autocorrelation in the Linear Regression Problem by an Example of Analysis of the Atmospheric Column NO2 Content

Груздев, А. Н.

doi:10.1134/s0001433819010043

Cited by 14 publications

(3 citation statements)

References 24 publications

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“…This method allows us to correct the regression estimates and their confidence intervals, using the representation of the correlated residual series as an autoregressive process, the order of which can be very large. The results presented in this paper, as in paper by Gruzdev [2019a], are obtained with the order of the autoregressive process equal to 50.…”

Section: Analysis Methodsmentioning

confidence: 99%

Consistency of Intra-Centennial Oscillations in Length of Day and Oceanic Characteristics

Bezverhniy,

Gruzdev

2023

Russian Journal of Earth Sciences

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The paper presents analysis of intra-centennial (inter-decadal and multidecadal) variations of the length of day (LOD) and some oceanic parameters such as sea surface temperature (SST) and sea level (SL). Methods of multivariate regression analysis and correlation analysis are used. Results of the regression analysis show a spatially coherent response of SST to LOD variations on the multidecadal time scale. The earlier response is peculiar to the north and tropical Atlantic where the multidecadal SST variations are approximately opposite to the LOD variations. In the most remaining parts of the oceans, except especially in the Nino 3.4 region of the equatorial east Pacific, the multidecadal SST variations are generally lagged relative to the antiphase variations of the LOD. Smoothing of SST averaged over different areas and of the global mean SL shows that the intra-annual variations include inter-decadal, 20–30-year, multidecadal, 60–70-year, components that correspond to similar oscillation components in the LOD. The most striking correspondence of the two components is observed between the LOD and SST averaged over the Nino 3.4 region. Generally, there are significant correlations of the intra-centennial variations on the averaged and smoothed SST series and global mean SL with the LOD variations. We propose that angular momentum exchange processes involving oceanic circulation and interactions between the Earth’s core and the mantle play probably a part in the observed relationships of intra-centennial variations in oceanic parameters with variations in the LOD.

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Section: Analysis Methodsmentioning

confidence: 99%

Consistency of Intra-Centennial Oscillations in Length of Day and Oceanic Characteristics

Bezverhniy,

Gruzdev

2023

Russian Journal of Earth Sciences

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“…To solve the system of the regression equations, the method is used taking into account the serial correlation (autocorrelation) of the residual on long time scales [9]. The serial correlation is due to memory in a system and affects confidence intervals of regression estimates [10].…”

Section: Analysis Methodsmentioning

confidence: 99%

Three decades of remote sensing of NO₂ vertical distribution and column content at the A. M. Obukhov Institute of Atmospheric Physics

Груздев

Елохов²

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The paper reviews the results of 30-year spectrometric measurements of vertical distribution and column content of NO2 at the Zvenigorod Scientific Station (ZSS) of the A. M. Obukhov Institute of Atmospheric Physics and presents analysis of NO2 long-term trends and interannual variations. The station is located in the western Moscow region. It is part of the Network for the Detection of Atmospheric Composition Change (NDACC). Measurements are done in the morning and evening twilight by zenith-scattered visible solar radiation. Vertical NO2 profiles are retrieved and column NO2 contents are calculated by profile integration. Long term trends and inter-annual variations of NO2 are analysed by multivariate regression method taking into account autocorrelation of data in a wide range of time scales. Seasonally dependent estimates of NO2 trends and interannual variations due to the quasi-biennial oscillation, El Nino–Southern oscillation, North Atlantic Oscillation, and the 11-year solar cycle are obtained. Most pronounced (in per cent units) trends and circulation and solar cycle effects are peculiar to the winter–spring period of the year. Mutual influence is assessed between the estimates of the trend and the solar cycle effect in stratospheric NO2.

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“…The regression model includes as predictors (independent variables) a linear trend, the solar radio flux at 10.7 cm wavelength, F10.7, as an index of solar activity (https://www.ngdc.noaa.gov/stp/space-weather/ and https://www.spaceweather.gc.ca/solarflux/sx-en.php), the zonal velocity of the equatorial stratospheric wind on the 40 hPa isobaric surface as a quasi-biennial oscillation (QBO) index (http://www.geo.fu-berlin.de/en/met/ag/strat/produkte/qbo/index.html), the Arctic Oscillation index or the Antarctic Oscillation index (https://www.esrl.noaa.gov/psd/data/climateindices/list/), Niño 3.4 index characterizing the average sea surface temperature in the equatorial belt 170°W-120°W of the Pacific Ocean (http://data.giss.nasa.gov/modelforce/strataer/) as an indicator of large-scale processes associated with the El Niño-Southern Oscillation (ENSO), the optical depth of stratospheric aerosol (http://data.giss.nasa.gov/modelforce/strataer/). When solving the system of equations of the regression model, the autocorrelation of measurement data has been taken into account 16 .…”

Section: Analysis Methodsmentioning

confidence: 99%

Trends in total, tropospheric and stratospheric NO2 contents based on results of ground-based and satellite (OMI) measurements

Груздев

Елохов

2022

28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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Linear trends in the total, tropospheric, and stratospheric column NO2 contents obtained from satellite measurements using the Ozone Monitoring Instrument are compared to NO2 trends obtained from ground-based measurements at NDACC stations. For the Zvenigorod station, where vertical distribution of NO2 is retrieved from the ground-based measurements, a satisfactory correspondence of the trends calculated from satellite data to the trends calculated from measurements at the station has been obtained. For other stations where only the total column NO2 contents are measured, the correspondence of the trends calculated from satellite data and trends obtained from ground-based measurements may generally is less satisfactory.

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Accounting for Autocorrelation in the Linear Regression Problem by an Example of Analysis of the Atmospheric Column NO2 Content

Cited by 14 publications

References 24 publications

Consistency of Intra-Centennial Oscillations in Length of Day and Oceanic Characteristics

Consistency of Intra-Centennial Oscillations in Length of Day and Oceanic Characteristics

Three decades of remote sensing of NO₂ vertical distribution and column content at the A. M. Obukhov Institute of Atmospheric Physics

Trends in total, tropospheric and stratospheric NO2 contents based on results of ground-based and satellite (OMI) measurements

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Accounting for Autocorrelation in the Linear Regression Problem by an Example of Analysis of the Atmospheric Column NO2 Content

Cited by 14 publications

References 24 publications

Consistency of Intra-Centennial Oscillations in Length of Day and Oceanic Characteristics

Consistency of Intra-Centennial Oscillations in Length of Day and Oceanic Characteristics

Three decades of remote sensing of NO2 vertical distribution and column content at the A. M. Obukhov Institute of Atmospheric Physics

Trends in total, tropospheric and stratospheric NO2 contents based on results of ground-based and satellite (OMI) measurements

Contact Info

Product

Resources

About

Three decades of remote sensing of NO₂ vertical distribution and column content at the A. M. Obukhov Institute of Atmospheric Physics