Global Formaldehyde Products from the Ozone Mapping and Profiler Suite (OMPS) Nadir Mappers on Suomi NPP and NOAA-20

Nowlan, C. R.; Abad, Gonzalo González; Kwon, Hyeong‐Ahn; Ayazpour, Zolal; Miller, Christopher Chan; Chance, K.; Chong, Heesung; Liu, Xueliang; O’Sullivan, Ewan; Wang, Huiqun; Zhu, Lei; Smedt, Isabelle De; Jaross, Glen; Seftor, C. J.; Sun, Kang

doi:10.1002/essoar.10512639.1

Cited by 3 publications

(9 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, cloud fraction for OMPS‐NPP/N20 is determined with the linear relationship between OMPS‐NPP Raman cloud fraction and reflectivity from total ozone products (Nowlan et al., 2022). Therefore, aerosols from biomass burning might increase cloud fractions and affect AMF calculations, resulting in positive biases.…”

Section: Resultsmentioning

confidence: 99%

“…Nowlan et al. (2022) describe in detail the fitting parameters and retrieval steps used to derive OMPS‐NPP and OMPS‐N20 HCHO products.…”

Section: Methodsmentioning

confidence: 99%

“…OMPS‐NPP/N20 HCHO vertical columns are obtained using the Smithsonian Astrophysical Observatory (SAO) retrieval algorithm (González Abad et al., 2016; Nowlan et al., 2022). The SAO algorithm was originally applied to GOME and has since been used to retrieve trace gases from OMI (González Abad et al., 2015).…”

Section: Methodsmentioning

confidence: 99%

“…(2016) retrieved HCHO total columns from OMPS‐NM observations onboard Suomi NPP with principal component analysis and hyperspectral direct fitting methods, respectively. Recently, we have developed updated, multiyear, and publicly availably OMPS‐NM HCHO products using hyperspectral direct fitting (González Abad, 2022a, 2022b; Nowlan et al., 2022). These OMPS‐NM HCHO products can play an important role in augmenting and extending long‐term HCHO data sets from OMI, since all three products share algorithms.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Validation of OMPS Suomi NPP and OMPS NOAA‐20 Formaldehyde Total Columns With NDACC FTIR Observations

Kwon

Abad

Nowlan

et al. 2023

Earth and Space Science

Self Cite

View full text Add to dashboard Cite

We validate formaldehyde (HCHO) vertical column densities (VCDs) from Ozone Mapping and Profiler Suite Nadir Mapper (OMPS‐NM) instruments onboard the Suomi National Polar‐orbiting Partnership (Suomi NPP) satellite for 2012–2020 and National Oceanic and Atmospheric Administration‐20 (NOAA‐20) satellite for 2018–2020, hereafter referred to as OMPS‐NPP and OMPS‐N20, with ground‐based Fourier‐Transform Infrared (FTIR) observations of the Network for the Detection of Atmospheric Composition Change (NDACC). OMPS‐NPP/N20 HCHO products reproduce seasonal variability at 24 FTIR sites. Monthly variability of OMPS‐NPP/N20 has a very good agreement with FTIR, showing correlation coefficients of 0.83 and 0.88, respectively. OMPS‐NPP (N20) biases averaged over all sites are −0.9 (4) ± 3 (6)%. However, at clean sites (with VCDs < 4.0 × 1015 molecules cm−2), positive biases of 20 (32) ± 6 (18)% occur for OMPS‐NPP (N20). At sites with HCHO VCDs > 4.0 × 1015 molecules cm−2, negative biases of −15% ± 4% appear for OMPS‐NPP, but OMPS‐N20 shows smaller bias of 0.5% ± 6% due to its smaller ground pixel footprints. Therefore, smaller satellite footprint sizes are important in distinguishing small‐scale plumes. In addition, we discuss a bias correction and provide lower limit for the monthly uncertainty of OMPS‐NPP/N20 HCHO products. The total uncertainty for OMPS‐NPP (N20) at clean sites is 0.7 (0.8) × 1015 molecules cm−2, corresponding to a relative uncertainty of 32 (30)%. In the case of HCHO VCDs > 4.0 × 1015 molecules cm−2, however, the relative uncertainty in HCHO VCDs for OMPS‐NPP (N20) decreases to 31 (18)%.

show abstract

Section: Resultsmentioning

confidence: 99%

“…Nowlan et al. (2022) describe in detail the fitting parameters and retrieval steps used to derive OMPS‐NPP and OMPS‐N20 HCHO products.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Validation of OMPS Suomi NPP and OMPS NOAA‐20 Formaldehyde Total Columns With NDACC FTIR Observations

Kwon

Abad

Nowlan

et al. 2023

Earth and Space Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…This helps guide our development of the processing pipeline to improve the overall quality of all products. Most recently, the processing pipeline was used to generate the OMPS HCHO product [Nowlan et al, 2022].…”

mentioning

confidence: 99%

Development of the MEaSUREs blue band water vapor algorithm – Towards a long-term data record

Wang

Abad

Miller

et al. 2023

Preprint

View full text Add to dashboard Cite

Abstract. We report the development of an algorithm for the retrieval of Total Column Water Vapor (TCWV) from blue spectra obtained by satellite instruments such as the Ozone Monitoring Instrument (OMI). The algorithm is implemented in an automatic processing pipeline and will be used to generate a long-term data record as part of a MEaSUREs project. TCWV is calculated as the ratio between the Slant Column Density (SCD) and Air Mass Factor (AMF). Both these factors are improved upon previous work by incorporating more constraints or physical processes. For the SCD, we have optimized the retrieval window to 432–466 nm, performed a temperature correction, and employed a new stripe-removal post-processing routine. The use of OMI Collection 4 spectra reduces the fitting uncertainty by ~9 % with respect to Collection 3. For the AMF, we perform on-line radiative transfer using VLIDORT. Over land surfaces, we use bi-directional reflectances based on MODIS products. Over the oceans, we consider surface roughness and water-leaving radiance, and we find that water-leaving radiance is important for avoiding large TCWV biases over the oceans. Under relatively clear conditions, the MEaSUREs data are well correlated with the reference datasets, having correlation coefficients of r ~0.9. Over the oceans, MEaSUREs-AMSR_E has an overall mean (median) of ~ 1 mm (0.6 mm) with a standard deviation of σ ~6.5 mm, though large systematic differences in certain regions are also found. Over land surfaces, MEaSUREs-GPS has an overall mean (median) of -0.7 mm (-0.8 mm) with σ ~5.7 mm. Even a small amount of cloud can introduce large bias and scatter; thus, without further correction, strict data filtering criteria are required. However, the MEaSUREs TCWV data can be corrected through machine learning. In this regard, under all-sky conditions, the mean bias of MEaSUREs reduces from 4.5 mm (without correction) to -0.3 mm (with correction using LightGBM models), and the standard deviation decreases from 11.8 mm to 3.8 mm. We also examined the representation error of the GPS stations using the dense GEONET data. The within-pixel variance of TCWV varies with grid size following a power law dependence. At 0.25°×0.25° resolution, the derived representation error is about 1.4 mm.

show abstract

Interannual changes in atmospheric oxidation over forests determined from space

Shutter,

Millet,

Wells

et al. 2024

Sci. Adv.

Self Cite

View full text Add to dashboard Cite

The hydroxyl radical (OH) is the central oxidant in Earth’s troposphere, but its temporal variability is poorly understood. We combine 2012–2020 satellite-based isoprene and formaldehyde measurements to identify coherent OH changes over temperate and tropical forests with attribution to emission trends, biotic stressors, and climate. We identify a multiyear OH decrease over the Southeast United States and show that with increasingly hot/dry summers the regional chemistry could become even less oxidizing depending on competing temperature/drought impacts on isoprene. Furthermore, while global mean OH decreases during El Niño, we show that near-field effects over tropical rainforests can alternate between high/low OH anomalies due to opposing fire and biogenic emission impacts. Results provide insights into how atmospheric oxidation will evolve with changing emissions and climate.

show abstract

Global Formaldehyde Products from the Ozone Mapping and Profiler Suite (OMPS) Nadir Mappers on Suomi NPP and NOAA-20

Cited by 3 publications

References 57 publications

Validation of OMPS Suomi NPP and OMPS NOAA‐20 Formaldehyde Total Columns With NDACC FTIR Observations

Validation of OMPS Suomi NPP and OMPS NOAA‐20 Formaldehyde Total Columns With NDACC FTIR Observations

Development of the MEaSUREs blue band water vapor algorithm – Towards a long-term data record

Interannual changes in atmospheric oxidation over forests determined from space

Contact Info

Product

Resources

About