Nadir ultraviolet imaging spectrometer for the NPOESS Ozone Mapping and Profiler Suite (OMPS)

Dittman, Michael G.; Ramberg, Eric; Chrisp, Michael P.; Rodriguez, J. V.; Sparks, Angela L.; Zaun, Neal H.; Hendershot, Paul; Dixon, T.; Philbrick, Robert H.; Wasinger, Debra

doi:10.1117/12.453748

Cited by 39 publications

(19 citation statements)

References 7 publications

(1 reference statement)

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“…The mapping component of the OMPS is a nadir-viewing UV spectrometer. The first model has been flying on board the NASA-NOAA Suomi National Polar-orbiting Partnership (SNPP) spacecraft since 2011 (Dittman et al, 2002;Flynn et al, 2014;Seftor et al, 2014). SNPP continues some of the long-term record of climate quality observations established by NASA's Earth Observation System (EOS) satel-lites.…”

Section: Omps So 2 Datamentioning

confidence: 99%

Continuation of long-term global SO2 pollution monitoring from OMI to OMPS

Zhang

Krotkov

et al. 2017

Atmos. Meas. Tech.

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Abstract. Over the past 20 years, advances in satellite remote sensing of pollution-relevant species have made space-borne observations an increasingly important part of atmospheric chemistry research and air quality management. This progress has been facilitated by advanced UV–vis spectrometers, such as the Ozone Monitoring Instrument (OMI) on board the NASA Earth Observing System (EOS) Aura satellite, and continues with new instruments, such as the Ozone Mapping and Profiler Suite (OMPS) on board the NASA–NOAA Suomi National Polar-orbiting Partnership (SNPP) satellite. In this study, we demonstrate that it is possible, using our state-of-the-art principal component analysis (PCA) retrieval technique, to continue the long-term global SO2 pollution monitoring started by OMI with the current and future OMPS instruments that will fly on the NOAA Joint Polar Satellite System (JPSS) 1, 2, 3, and 4 satellites in addition to SNPP, with a very good consistency of retrievals from these instruments. Since OMI SO2 data have been primarily used for (1) providing regional context on air pollution and long-range transport on a daily basis and (2) providing information on point emission sources on an annual basis after data averaging, we focused on these two aspects in our OMI–OMPS comparisons. Four years of retrievals (2012–2015) have been compared for three regions: eastern China, Mexico, and South Africa. In general, the comparisons show relatively high correlations (r = 0. 79–0.96) of daily regional averaged SO2 mass between the two instruments and near-unity regression slopes (0.76–0.97). The annual averaged SO2 loading differences between OMI and OMPS are small (< 0.03 Dobson unit (DU) over South Africa and up to 0.1 DU over eastern China). We also found a very good correlation (r = 0. 92–0.97) in the spatial distribution of annual averaged SO2 between OMI and OMPS over the three regions during 2012–2015. The emissions from ∼ 400 SO2 sources calculated with the two instruments also show a very good correlation (r = ∼ 0.9) in each year during 2012–2015. OMPS-detected SO2 point source emissions are slightly lower than those from OMI, but OMI–OMPS differences decrease with increasing strength of source. The OMI–OMPS SO2 mass differences on a pixel by pixel (daily) basis in each region can show substantial differences. The two instruments have a spatial correlation coefficient of 0.7 or better on < ∼ 50 % of the days. It is worth noting that consistent SO2 retrievals were achieved without any explicit adjustments to OMI or OMPS radiance data and that the retrieval agreement may be further improved by introducing a more comprehensive Jacobian lookup table than is currently used.

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Section: Omps So 2 Datamentioning

confidence: 99%

Continuation of long-term global SO2 pollution monitoring from OMI to OMPS

Zhang

Krotkov

et al. 2017

Atmos. Meas. Tech.

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“…It has an instantaneous cross-track field of view of approximately 110 • , corresponding to 2800 km at the Earth's surface, providing global daily coverage. For this study we use the OMPS-NM Earth science mode, where measurements are combined in 35 cross-track macropixels given a spatial size of the nadir pixel of 50 km (cross-track) by 50 km (along-track), with an integration period for each measurement of 7.6 s (Dittman et al, 2002;Seftor et al, 2014). The CCD readout is split in the center so that measurements of the central pixel are split, resulting in 36 cross-track pixel positions.…”

Section: The Omps Nadir Mapper (Omps-nm Instrumentmentioning

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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“…GOME2A and GOME2B are the first successive instruments of a long-term operational commitment by the EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) agency for observing atmospheric composition from space (Callies et al, 2000). OMPS is the first instrument of a similar long-term operational commitment by NOAA in the US (Dittman et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Observing atmospheric formaldehyde (HCHO) from space: validation and intercomparison of six retrievals from four satellites (OMI, GOME2A, GOME2B, OMPS) with SEAC4RS aircraft observations over the southeast US

et al. 2016

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Formaldehyde (HCHO) column data from satellites are widely used as a proxy for emissions of volatile organic compounds (VOCs) but validation of the data has been extremely limited. Here we use highly accurate HCHO aircraft observations from the NASA SEACRS campaign over the Southeast US in August-September 2013 to validate and intercompare six retrievals of HCHO columns from four different satellite instruments (OMI, GOME2A, GOME2B and OMPS) and three different research groups. The GEOS-Chem chemical transport model is used as a common intercomparison platform. All retrievals feature a HCHO maximum over Arkansas and Louisiana, consistent with the aircraft observations and reflecting high emissions of biogenic isoprene. The retrievals are also interconsistent in their spatial variability over the Southeast US (=0.4-0.8 on a 0.5°×0.5° grid) and in their day-to-day variability (=0.5-0.8). However, all retrievals are biased low in the mean by 20-51%, which would lead to corresponding bias in estimates of isoprene emissions from the satellite data. The smallest bias is for OMI-BIRA, which has high corrected slant columns relative to the other retrievals and low scattering weights in its air mass factor () calculation. OMI-BIRA has systematic error in its assumed vertical HCHO shape profiles for the AMF calculation and correcting this would eliminate its bias relative to the SEACRS data. Our results support the use of satellite HCHO data as a quantitative proxy for isoprene emission after correction of the low mean bias. There is no evident pattern in the bias, suggesting that a uniform correction factor may be applied to the data until better understanding is achieved.

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Nadir ultraviolet imaging spectrometer for the NPOESS Ozone Mapping and Profiler Suite (OMPS)

Cited by 39 publications

References 7 publications

Continuation of long-term global SO<sub>2</sub> pollution monitoring from OMI to OMPS

Continuation of long-term global SO<sub>2</sub> pollution monitoring from OMI to OMPS

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

Observing atmospheric formaldehyde (HCHO) from space: validation and intercomparison of six retrievals from four satellites (OMI, GOME2A, GOME2B, OMPS) with SEAC<sup>4</sup>RS aircraft observations over the southeast US

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Nadir ultraviolet imaging spectrometer for the NPOESS Ozone Mapping and Profiler Suite (OMPS)

Cited by 39 publications

References 7 publications

Continuation of long-term global SO&lt;sub&gt;2&lt;/sub&gt; pollution monitoring from OMI to OMPS

Continuation of long-term global SO&lt;sub&gt;2&lt;/sub&gt; pollution monitoring from OMI to OMPS

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

Observing atmospheric formaldehyde (HCHO) from space: validation and intercomparison of six retrievals from four satellites (OMI, GOME2A, GOME2B, OMPS) with SEAC&lt;sup&gt;4&lt;/sup&gt;RS aircraft observations over the southeast US

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Continuation of long-term global SO<sub>2</sub> pollution monitoring from OMI to OMPS

Continuation of long-term global SO<sub>2</sub> pollution monitoring from OMI to OMPS

Observing atmospheric formaldehyde (HCHO) from space: validation and intercomparison of six retrievals from four satellites (OMI, GOME2A, GOME2B, OMPS) with SEAC<sup>4</sup>RS aircraft observations over the southeast US