First results from a rotational Raman scattering cloud algorithm applied to the Suomi National Polar-orbiting Partnership (NPP) Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper

Vasilkov, A. P.; Joiner, Joanna; Seftor, C. J.

doi:10.5194/amt-7-2897-2014

Cited by 13 publications

(13 citation statements)

References 26 publications

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“…The lookup table allows us to account for the effects of several factors on HCHO Jacobians, including the viewing geometry ( θ 0 , θ , and relative azimuth angle, φ ), Ω O3 , surface reflectivity ( R ), terrain height, the effective cloud fraction ( f c ), and the cloud optical centroid pressure (OCP). During data processing, we obtain Ω O3 from the level 2 OMPS total O 3 product, and f c and cloud OCP from the level 2 OMPS cloud product [ Vasilkov et al , ]. For surface reflectivity, we use the same climatology derived from Total Ozone Mapping Spectrometer measurements [ Herman and Celarier , ] as used in cloud retrievals.…”

Section: Methodsmentioning

confidence: 99%

A new method for global retrievals of HCHO total columns from the Suomi National Polar‐orbiting Partnership Ozone Mapping and Profiler Suite

Joiner

Krotkov

et al. 2015

Geophysical Research Letters

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We introduce a new method for retrieving formaldehyde (HCHO) based on principal component analysis (PCA) of satellite‐measured radiances. Applying the technique to the Suomi National Polar‐orbiting Partnership/Ozone Mapping and Profiler Suite (S‐NPP/OMPS) radiances between 328.5 and 356.5 nm, we extract principal components (PCs) associated with various physical processes (e.g., ozone absorption and rotational Raman scattering) and measurement details (e.g., wavelength shift). These PCs, along with precomputed HCHO Jacobians, are utilized in spectral fitting to estimate HCHO loading and reduce interferences. Comparisons with model simulations and independent Ozone Monitoring Instrument (OMI) retrievals indicate that our algorithm can detect enhanced HCHO signals over source regions such as the southeast U.S., producing HCHO total columns with similar spatial distributions and seasonal patterns. While our OMPS retrievals are ~15–20% lower than OMI retrievals from a different algorithm, the differences may be attributed to several instrumental and algorithmic factors. This study demonstrates the potential of PCA algorithms and of OMPS for continuing the long‐term satellite HCHO data record.

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Section: Methodsmentioning

confidence: 99%

A new method for global retrievals of HCHO total columns from the Suomi National Polar‐orbiting Partnership Ozone Mapping and Profiler Suite

Joiner

Krotkov

et al. 2015

Geophysical Research Letters

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“…Information about the pixel surface reflectance is obtained from the Total Ozone Mapping Instrument (TOMS) climatology (Changwoo Ahn, personal communication, 2015). This surface reflectance climatology is the same one that is used by Vasilkov et al (2014) to retrieve cloud information ( and c p ). Given the small variation of the AMF within the fitting interval (usually less than 7 %), we calculate it at one wavelength (λ), 340 nm, which we consider representative of their mean value within the fitting window.…”

Section: Slant Column To Vertical Column Calculationmentioning

confidence: 99%

“…A change in the cloud pressure from 800 to 900 hPa will imply a change in the AMF from 0.6 to 1.2. The cloud product we are using is derived from analysis of the rotational Raman scattering around 350 nm (Vasilkov et al, 2014). Errors of the cloud centroid pressure are estimated to be about 50 hPa, which translates to variations in the AMF values of 23 %.…”

Section: Error Analysismentioning

confidence: 99%

Smithsonian Astrophysical Observatory Ozone Mapping and Profiler Suite (SAO OMPS) formaldehyde retrieval

et al. 2016

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Abstract. This paper presents our new formaldehyde (H 2 CO) retrievals, obtained from spectra recorded by the nadir instrument of the Ozone Mapping and Profiler Suite (OMPS) flown on board NASA's Suomi National Polarorbiting Partnership (SUOMI-NPP) satellite. Our algorithm is similar to the one currently in place for the production of NASA's Ozone Monitoring Instrument (OMI) operational H 2 CO product. We are now able to produce a set of longterm data from two different instruments that share a similar concept and a similar retrieval approach. The ongoing overlap period between OMI and OMPS offers a perfect opportunity to study the consistency between both data sets. The different spatial and spectral resolution of the instruments is a source of discrepancy in the retrievals despite the similarity of the physic assumptions of the algorithm. We have concluded that the reduced spectral resolution of OMPS in comparison with OMI is not a significant obstacle in obtaining good-quality retrievals. Indeed, the improved signal-to-noise ratio of OMPS with respect to OMI helps to reduce the noise of the retrievals performed using OMPS spectra. However, the size of OMPS spatial pixels imposes a limitation in the capability to distinguish particular features of H 2 CO that are discernible with OMI. With root mean square (RMS) residuals ∼ 5×10−4 for individual pixels we estimate the detection limit to be about 7.5 × 10 15 molecules cm −2 . Total vertical column density (VCD) errors for individual pixels range between 40 % for pixels with high concentrations to 100 % or more for pixels with concentrations at or below the detection limit. We compare different OMI products (SAO OMI v3.0.2 and BIRA OMI v14) with our OMPS product using 1 year of data, between September 2012 and September 2013. The seasonality of the retrieved slant columns is captured similarly by all products but there are discrepancies in the values of the VCDs. The mean biases among the two OMI products and our OMPS product are 23 % between OMI SAO and OMPS SAO and 28 % between OMI BIRA and OMPS SAO for eight selected regions.

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“…The prospect of other OMPS instruments being launched in future missions of the National Oceanic and Atmospheric Administration (NOAA) such as the Joint Polar Satellite System (JPSS) will create the possibility of a multi-decadal set of consistent measurements of H 2 CO from afternoon LEO platforms. Another instrument that will contribute to the afternoon constellation, TROPOMI/S5P, will be launched in 2016 (Veefkind et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Smithsonian Astrophysical Observatory Ozone Mapping and Profiler Suite (SAO OMPS) formaldehyde retrieval

Abad¹,

Vasilkov²,

Seftor³

et al. 2015

Preprint

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Abstract. This paper presents our new formaldehyde (H2CO) retrievals, obtained from spectra recorded by the nadir instrument of the Ozone Mapping and Profiler Suite (OMPS) flown on-board NASA's Suomi National Polar-orbiting Partnership (SUOMI-NPP) satellite. Our algorithm is similar to the one currently in place for the production of NASA's Ozone Monitoring Instrument (OMI) operational H2CO product. We are now able to produce a consistent set of long term data from two different instruments that share a similar concept. The ongoing overlap period between OMI and OMPS offers a perfect opportunity to study the consistency between both data sets. The different spatial and spectral resolution of the instruments is a source of discrepancy in the retrievals despite the similarity of the physic assumptions of the algorithm. We have concluded that the reduced spectral resolution of OMPS in comparison with OMI is not a significant obstacle in obtaining good quality retrievals. Indeed, the improved signal to noise ratio (SNR) of OMPS with respect to OMI helps to reduce the noise of the retrievals performed using OMPS spectra. However, the size of OMPS spatial pixels imposes a limitation in the capability to distinguish particular features of H2CO that are discernible with OMI. With root mean square (RMS) residuals ~ 5 × 10−4 for individual pixels we estimate the detection limit to be about 7.5 × 1015 molecules cm−2. Total vertical column densities (VCD) errors for individual pixels range between 40 % for pixels with high concentrations to 100 % or more for pixels with concentrations at or below the detection limit. We compare different OMI products with our OMPS product using one year of data, between September 2012 and September 2013. The seasonality of the retrieved slant columns is captured similarly by all products but there are discrepancies in the values of the VCDs. The mean biases among the two OMI products and our OMPS product are 21 % between OMI SAO and OMPS SAO and 38 % between OMI BIRA and OMPS SAO for eight selected regions.

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First results from a rotational Raman scattering cloud algorithm applied to the Suomi National Polar-orbiting Partnership (NPP) Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper

Cited by 13 publications

References 26 publications

A new method for global retrievals of HCHO total columns from the Suomi National Polar‐orbiting Partnership Ozone Mapping and Profiler Suite

A new method for global retrievals of HCHO total columns from the Suomi National Polar‐orbiting Partnership Ozone Mapping and Profiler Suite

Smithsonian Astrophysical Observatory Ozone Mapping and Profiler Suite (SAO OMPS) formaldehyde retrieval

Smithsonian Astrophysical Observatory Ozone Mapping and Profiler Suite (SAO OMPS) formaldehyde retrieval

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