Limb broad-band imaging spectrometer for the NPOESS Ozone Mapping and Profiler Suite (OMPS)

Dittman, Michael G.; Leitch, James; Chrisp, Michael P.; Rodriguez, J. V.; Sparks, Angela L.; McComas, Brian K.; Zaun, Neal H.; Frazier, Doug; Dixon, T.; Philbrick, Robert H.; Wasinger, Debra

doi:10.1117/12.453751

Cited by 17 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The same applies to possible future atmospheric chemistry instruments in geostationary orbit or at the Lagrange points. As already mentioned in the introduction, limb‐sounding ozone instruments like the one planned for the Ozone Mapping and Profiler Suite (OMPS) [ Dittman et al , 2002] are bound to profit most from taking into account horizontal ozone variations.…”

Section: Discussionmentioning

confidence: 99%

Errors induced by ozone field horizontal inhomogeneities into simulated nadir‐viewing orbital backscatter UV measurements

Felder¹,

Poli²,

Joiner³

2007

J. Geophys. Res.

View full text Add to dashboard Cite

[1] Radiative transfer calculations for nadir-viewing satellites normally assume the atmosphere to be horizontally homogeneous. Yet it has been shown recently that horizontal gradients can lead to significant errors in satellite infrared and microwave soundings. We extend the methodology to nadir backscatter ultraviolet forward modeling and present a first estimate of the effect's magnitude. The Solar Backscatter Ultraviolet/2 (SBUV/2) instrument, a nadir sounder, serves as our test bed. We find that the RMS error in calculated SBUV radiance induced by ozone inhomogeneities ranges between 0.05 and 0.3% (0.1-0.5%) for the 318 nm (306 and 313 nm) channel. The lower (higher) estimate corresponds to soundings with small (high) solar zenith angle. Occurrence of higher errors, particularly at wavelengths longer than 300 nm, coincides with some of the most interesting atmospheric phenomena like tropopause folds and the south polar ozone hole. This leads to a seasonal variation of the magnitude of the effect. Because of the mostly zonal variability of the ozone distribution, there is also the possibility that biases may be introduced, which is particularly critical if the data are to be assimilated or used to determine trends. The results presented are tested for robustness using different model atmospheres.Citation: Felder, M., P. Poli, and J. Joiner (2007), Errors induced by ozone field horizontal inhomogeneities into simulated nadirviewing orbital backscatter UV measurements,

show abstract

Section: Discussionmentioning

confidence: 99%

Errors induced by ozone field horizontal inhomogeneities into simulated nadir‐viewing orbital backscatter UV measurements

Felder¹,

Poli²,

Joiner³

2007

J. Geophys. Res.

View full text Add to dashboard Cite

show abstract

“…The optical and electrical design of the OMPS Limb instrument has been previously described by Dittman et al . [] and Leitch et al . [].…”

Section: Instrumentationmentioning

confidence: 99%

OMPS Limb Profiler instrument performance assessment

et al. 2014

View full text Add to dashboard Cite

Following the successful launch of the Ozone Mapping and Profiler Suite (OMPS) aboard the Suomi National Polar-orbiting Partnership (SNPP) spacecraft, the NASA OMPS Limb team began an evaluation of instrument and data product performance. The focus of this paper is the instrument performance in relation to the original design criteria. Performance that is closer to expectations increases the likelihood that limb scatter measurements by SNPP OMPS and successor instruments can form the basis for accurate long-term monitoring of ozone vertical profiles. The team finds that the Limb instrument operates mostly as designed and basic performance meets or exceeds the original design criteria. Internally scattered stray light and sensor pointing knowledge are two design challenges with the potential to seriously degrade performance. A thorough prelaunch characterization of stray light supports software corrections that are accurate to within 1% in radiances up to 60 km for the wavelengths used in deriving ozone. Residual stray light errors at 1000 nm, which is useful in retrievals of stratospheric aerosols, currently exceed 10%. Height registration errors in the range of 1 km to 2 km have been observed that cannot be fully explained by known error sources. An unexpected thermal sensitivity of the sensor also causes wavelengths and pointing to shift each orbit in the northern hemisphere. Spectral shifts of as much as 0.5 nm in the ultraviolet and 5 nm in the visible, and up to 0.3 km shifts in registered height, must be corrected in ground processing.

show abstract

“…Traditionally, the assimilation process assumes that both the model forecasts and observations are statistically unbiased following an initial spin-up time (unless biases are estimated within the analysis step). Unremoved biases or systematic errors in the observations or forecasting model can potentially impact the quality of the analyses and forecasts (e.g., Dee, 2005;Dragani and Dee, 2008). This is important for total column ozone when it comes to monitoring for multi-decadal trends, as referenced in van der A et al (2010), for both trends inferred from just the observations alone or from their use within a data assimilation system.…”

Section: Introductionmentioning

confidence: 99%

A study on harmonizing total ozone assimilation with multiple sensors

2019

View full text Add to dashboard Cite

Bias estimations and corrections of total column measurements are applied and evaluated with ozone data from satellite instruments providing near-real-time products during summer 2014 and 2015 and winter 2015. The developed standalone bias-correction system can be applied in near-real-time chemical data assimilation and long-term reanalysis. The instruments to which these bias corrections were applied include the Global Ozone Monitoring Experiment-2 instruments on the MetOp-A and MetOp-B satellites (GOME-2A and GOME-2B), the total column ozone mapping instrument of the Ozone Mapping Profiler Suite (OMPS-NM) on the Suomi National Polar-orbiting Partnership (S-NPP) satellite, and the Ozone Monitoring Instrument (OMI) instrument on the Aura research satellite. The OMI data set based on the TOMS version 8.5 retrieval algorithm was chosen as the reference used in the bias correction of the other satellite-based total column ozone data sets. OMI data were chosen for this purpose instead of groundbased observations due to OMI's significantly better spatial and temporal coverage, as well as interest in near-realtime assimilation. Ground-based Brewer and Dobson spectrophotometers, and filter ozonometers, as well as the Solar Backscatter Ultraviolet satellite instrument (SBUV/2), served as independent validation sources of total column ozone data. Regional and global mean differences of the OMI-TOMS data with measurements from the three groundbased instrument types for the three evaluated 2-month periods were found to be within 1 %, except for the polar regions, where the largest differences from the comparatively small data set in Antarctica exceeded 3 %. Values from SBUV/2 summed partial columns were typically larger than OMI-TOMS on average by 0.6 % to 1.2 %, with smaller differ-ences than with ground-based observations over Antarctica. Bias corrections as a function of latitude and solar zenith angle were performed for GOME-2A/B and OMPS-NM using colocation with OMI-TOMS and three variants of differences with short-term model forecasts. These approaches were shown to yield residual biases of less than 1 %, with the rare exceptions associated with bins with less data. These results were compared to a time-independent bias-correction estimation that used colocations as a function of ozone effective temperature and solar zenith angle which, for the time period examined, resulted in larger residual biases for bins whose bias varies more in time.The impact of assimilating total column ozone data from single and multiple satellite data sources with and without bias correction was examined with a version of the Environment and Climate Change Canada variational assimilation and forecasting system. Assimilation experiments for July-August 2014 show a reduction of global mean biases for short-term forecasts relative to ground-based Brewer and Dobson observations from a maximum of about 2.3 % in the absence of bias correction to less than 0.3 % in size when bias correction is included. Both temporally averaged and time-varying me...

show abstract

Limb broad-band imaging spectrometer for the NPOESS Ozone Mapping and Profiler Suite (OMPS)

Cited by 17 publications

References 0 publications

Errors induced by ozone field horizontal inhomogeneities into simulated nadir‐viewing orbital backscatter UV measurements

Errors induced by ozone field horizontal inhomogeneities into simulated nadir‐viewing orbital backscatter UV measurements

OMPS Limb Profiler instrument performance assessment

A study on harmonizing total ozone assimilation with multiple sensors

Contact Info

Product

Resources

About