Definition and determination of ozone laminae using Continuous Wavelet Transform (CWT) analysis

Huang, Guanyu; Newchurch, M. J.; Kuang, Shi; Buckley, Patrick I.; Cantrell, W.; Wang, Lihua

doi:10.1016/j.atmosenv.2014.12.027

Cited by 11 publications

(15 citation statements)

References 27 publications

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“…The laminae amplitude thresholds used by Huang et al (2015) were 10 ppbv in the troposphere 10 and 40 ppbv in the stratosphere, which more closely follows our 10% threshold than the partial pressure criteria discussed above. Reid and Vaughan (1991) and Huang et al (2015) compared their methods to "filter and difference" techniques that are broadly similar to the approach used here and in other studies (e.g., Grant et al, 1998;Krizan and Lastovicka, 2005;Thompson et al, 2007a) and found reasonable agreement in lamina statistics between the two methods. One advantage of 15 the filter and difference approach is that basic states are generated for each profile, as described below, which can provide important information on the contribution of laminae to the overall variability in ozone.…”

Section: Methodssupporting

confidence: 68%

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Detection and Classification of Laminae in Balloon-borne Ozonesonde Profiles: Application to the Long Term Record from Boulder, Colorado

Minschwaner¹,

Giljum²,

Manney³

et al. 2018

Preprint

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We quantify ozone variability in the upper troposphere and lower stratosphere (UTLS) by investigating lamination features in balloon measurements of ozone mixing ratio and potential temperature. Laminae are defined as stratified variations in ozone that meet or exceed a 10% threshold for deviations from a basic state vertical profile of ozone. The basic 15 state profiles are derived for each sounding using smoothing methods applied within a vertical coordinate system relative to the WMO tropopause. We present results of this analysis for the 25-year record of ozonesonde measurements from Boulder, Colorado. The mean number of ozone laminae identified per sounding is about 9±2 (1σ). The root-mean-square relative amplitude is 20%, and laminae with much larger amplitudes (>40%) are seen in ~2% of the profiles. The vertical scale of detected ozone laminae typically ranges between 0.5 and 1.2 km. The lamina occurrence frequency varies significantly with 20 altitude and is largest within ~2 km of the tropopause. Overall, ozone laminae identified in our analysis account for more than one third of the total intraseasonal variability in ozone. A correlation technique between ozone and potential temperature is used to classify the subset of ozone laminae that are associated with gravity wave (GW) phenomena, which accounts for 28% of all laminar ozone features. The remaining 72% of laminae arise from non-gravity wave (NGW) phenomena. There are differences in the both the vertical distribution and seasonality of GW versus NGW ozone laminae 25 that are linked to the contrast in main generating mechanisms for each laminae type.

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Section: Methodssupporting

confidence: 68%

“…Alternatively, Huang et al (2015) used a Continuous Wavelet Transform (CWT) approach to study ozone laminae in lidar ozone vertical profiles. An interesting feature of the CWT approach is that it does not use a basic state or reference ozone profile to identify laminae.…”

Section: Methodsmentioning

confidence: 99%

Detection and Classification of Laminae in Balloon-borne Ozonesonde Profiles: Application to the Long Term Record from Boulder, Colorado

Minschwaner¹,

Giljum²,

Manney³

et al. 2018

Preprint

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“…Journal of Geophysical Research: Atmospheres 10.1002/2017JD027139 related to its definition (Huang et al, 2015). From this study, the average thickness of the detected STT layers is 1.7 ± 0.9 km.…”

Section: Stratospheric Influence On Midtropospheric and Pbl Ozonementioning

confidence: 65%

“…STT layers are present at almost all altitudes above the PBL with a higher frequency between 5 and 7 km (Figure ). The thickness of the layers is somewhat related to its definition (Huang et al, ). From this study, the average thickness of the detected STT layers is 1.7 ± 0.9 km.…”

Section: Stratospheric Influence On Midtropospheric and Pbl Ozonementioning

confidence: 99%

Ozone Variability and Anomalies Observed During SENEX and SEAC⁴RS Campaigns in 2013

et al. 2017

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Tropospheric ozone variability occurs because of multiple forcing factors including surface emission of ozone precursors, stratosphere‐to‐troposphere transport (STT), and meteorological conditions. Analyses of ozonesonde observations made in Huntsville, AL, during the peak ozone season (May to September) in 2013 indicate that ozone in the planetary boundary layer was significantly lower than the climatological average, especially in July and August when the Southeastern United States (SEUS) experienced unusually cool and wet weather. Because of a large influence of the lower stratosphere, however, upper tropospheric ozone was mostly higher than climatology, especially from May to July. Tropospheric ozone anomalies were strongly anticorrelated (or correlated) with water vapor (or temperature) anomalies with a correlation coefficient mostly about 0.6 throughout the entire troposphere. The regression slopes between ozone and temperature anomalies for surface up to midtroposphere are within 3.0–4.1 ppbv K−1. The occurrence rates of tropospheric ozone laminae due to STT are ≥50% in May and June and about 30% in July, August, and September suggesting that the stratospheric influence on free‐tropospheric ozone could be significant during early summer. These STT laminae have a mean maximum ozone enhancement over the climatology of 52 ± 33% (35 ± 24 ppbv) with a mean minimum relative humidity of 2.3 ± 1.7%.

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“…Ozonesonde data have been widely used in the studies of stratospheric ozone, climate change, tropospheric ozone, and air quality, as well as the validation of satellite observations (Huang et al, 2015;Kivi et al, 2007;Thompson et al, 2015;Wang et al, 2011). However, the accuracy of ozonesonde observations depends on data pro- Figure 1.…”

Section: Ozonesondesmentioning

confidence: 99%

Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations

et al. 2017

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Abstract. We validate the Ozone Monitoring Instrument (OMI) Ozone Profile (PROFOZ) product from October 2004 through December 2014 retrieved by the Smithsonian Astrophysical Observatory (SAO) algorithm against ozonesonde observations. We also evaluate the effects of OMI row anomaly (RA) on the retrieval by dividing the dataset into before and after the occurrence of serious OMI RA, i.e., pre-RA (2004) and post-RA (2009-2014. The retrieval shows good agreement with ozonesondes in the tropics and midlatitudes and for pressure <∼ 50 hPa in the high latitudes. It demonstrates clear improvement over the a priori down to the lower troposphere in the tropics and down to an average of ∼ 550 (300) hPa at middle (high) latitudes. In the tropics and midlatitudes, the profile mean biases (MBs) are less than 6 %, and the standard deviations (SDs) range from 5 to 10 % for pressure <∼ 50 hPa to less than 18 % (27 %) in the tropics (midlatitudes) for pressure >∼ 50 hPa after applying OMI averaging kernels to ozonesonde data. The MBs of the stratospheric ozone column (SOC, the ozone column from the tropopause pressure to the ozonesonde burst pressure) are within 2 % with SDs of < 5 % and the MBs of the tropospheric ozone column (TOC) are within 6 % with SDs of 15 %. In the high latitudes, the profile MBs are within 10 % with SDs of 5-15 % for pressure <∼ 50 hPa but increase to 30 % with SDs as great as 40 % for pressure >∼ 50 hPa. The SOC MBs increase up to 3 % with SDs as great as 6 % and the TOC SDs increase up to 30 %. The comparison generally degrades at larger solar zenith angles (SZA) due to weaker signals and additional sources of error, leading to worse performance at high latitudes and during the midlatitude winter. Agreement also degrades with increasing cloudiness for pressure >∼ 100 hPa and varies with cross-track position, especially with large MBs and SDs at extreme off-nadir positions. In the tropics and midlatitudes, the post-RA comparison is considerably worse with larger SDs reaching 2 % in the stratosphere and 8 % in the troposphere and up to 6 % in TOC. There are systematic differences that vary with latitude compared to the pre-RA comparison. The retrieval comparison demonstrates good long-term stability during the pre-RA period but exhibits a statistically significant trend of 0.14-0.7 % year −1 for pressure <∼ 80 hPa, 0.7 DU year −1 in SOC, and −0.33 DU year −1 in TOC during the post-RA period. The spatiotemporal variation of retrieval performance suggests the need to improve OMI's radiometric calibration especially during the post-RA period to maintain the long-term stability and reduce the latitude/season/SZA and cross-track dependency of retrieval quality.

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Definition and determination of ozone laminae using Continuous Wavelet Transform (CWT) analysis

Cited by 11 publications

References 27 publications

Detection and Classification of Laminae in Balloon-borne Ozonesonde Profiles: Application to the Long Term Record from Boulder, Colorado

Detection and Classification of Laminae in Balloon-borne Ozonesonde Profiles: Application to the Long Term Record from Boulder, Colorado

Ozone Variability and Anomalies Observed During SENEX and SEAC⁴RS Campaigns in 2013

Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations

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Definition and determination of ozone laminae using Continuous Wavelet Transform (CWT) analysis

Cited by 11 publications

References 27 publications

Detection and Classification of Laminae in Balloon-borne Ozonesonde Profiles: Application to the Long Term Record from Boulder, Colorado

Detection and Classification of Laminae in Balloon-borne Ozonesonde Profiles: Application to the Long Term Record from Boulder, Colorado

Ozone Variability and Anomalies Observed During SENEX and SEAC4RS Campaigns in 2013

Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations

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Product

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About

Ozone Variability and Anomalies Observed During SENEX and SEAC⁴RS Campaigns in 2013