The High-Resolution Solar Reference Spectrum between 250 and 550 nm and its Application to Measurements with the Ozone Monitoring Instrument

Dobber, Marcel; Voors, Robert; Dirksen, Ruud; Kleipool, Q.; Levelt, P. F.

doi:10.1007/s11207-008-9187-7

Cited by 72 publications

(90 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since EPIC does not measure solar irradiance, we use a high-resolution solar irradiance spectrum, S(λ) (Dobber et al, 2008), as a reference solar spectrum. The reference spectrum is convolved with EPIC's filter transmission functions T M (λ) (Fig.…”

Section: Calibrationmentioning

confidence: 99%

Synoptic ozone, cloud reflectivity, and erythemal irradiance from sunrise to sunset for the whole earth as viewed by the DSCOVR spacecraft from the earth–sun Lagrange 1 orbit

et al. 2018

View full text Add to dashboard Cite

Abstract. EPIC (Earth Polychromatic Imaging Camera) on board the DSCOVR (Deep Space Climate Observatory) spacecraft is the first earth science instrument located near the earth-sun gravitational plus centrifugal force balance point, Lagrange 1. EPIC measures earth-reflected radiances in 10 wavelength channels ranging from 317.5 to 779.5 nm. Of these channels, four are in the UV range 317.5, 325, 340, and 388 nm, which are used to retrieve O 3 , 388 nm scene reflectivity (LER: Lambert equivalent reflectivity), SO 2 , and aerosol properties. These new synoptic quantities are retrieved for the entire sunlit globe from sunrise to sunset multiple times per day as the earth rotates in EPIC's field of view. Retrieved ozone amounts agree with ground-based measurements and satellite data to within 3 %. The ozone amounts and LER are combined to derive the erythemal irradiance for the earth's entire sunlit surface at a nadir resolution of 18 × 18 km 2 using a computationally efficient approximation to a radiative transfer calculation of irradiance. The results show very high summertime values of the UV index (UVI) in the Andes and Himalayas (greater than 18), and high values of UVI near the Equator at equinox.

show abstract

Section: Calibrationmentioning

confidence: 99%

Synoptic ozone, cloud reflectivity, and erythemal irradiance from sunrise to sunset for the whole earth as viewed by the DSCOVR spacecraft from the earth–sun Lagrange 1 orbit

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Next, the following equation is used for the DOAS fit: Bogumil et al (2000) at 220 K. I R (λ) was calculated using as input the expressions given in Chance and Spurr (1997), numbers given in Burrows et al (1996) and the high-resolution solar irradiance provided by Dobber et al (2008). The Raman spectrum was then calculated by convolving the solar spectrum with the rotational Raman lines and the OMI slit function and divided by the convoluted solar spectrum.…”

Section: Doas Fitmentioning

confidence: 99%

Improvements to the OMI O2–O2 operational cloud algorithm and comparisons with ground-based radar–lidar observations

et al. 2016

View full text Add to dashboard Cite

Abstract. The OMI (Ozone Monitoring Instrument on board NASA's Earth Observing System (EOS) Aura satellite) OM-CLDO2 cloud product supports trace gas retrievals of for example ozone and nitrogen dioxide. The OMCLDO2 algorithm derives the effective cloud fraction and effective cloud pressure using a DOAS (differential optical absorption spectroscopy) fit of the O 2 -O 2 absorption feature around 477 nm. A new version of the OMI OMCLDO2 cloud product is presented that contains several improvements, of which the introduction of a temperature correction on the O 2 -O 2 slant columns and the updated look-up tables have the largest impact. Whereas the differences in the effective cloud fraction are on average limited to 0.01, the differences of the effective cloud pressure can be up to 200 hPa, especially at cloud fractions below 0.3. As expected, the temperature correction depends on latitude and season. The updated look-up tables have a systematic effect on the cloud pressure at low cloud fractions. The improvements at low cloud fractions are very important for the retrieval of trace gases in the lower troposphere, for example for nitrogen dioxide and formaldehyde. The cloud pressure retrievals of the improved algorithm are compared with ground-based radar-lidar observations for three sites at mid-latitudes. For low clouds that have a limited vertical extent the comparison yields good agreement. For higher clouds, which are vertically extensive and often contain several layers, the satellite retrievals give a lower cloud height. For high clouds, mixed results are obtained.

show abstract

“…First, a high-resolution oversampled solar atlas that is convolved to the OMI instrument line shape (Dobber et al, 2008b) is interpolated onto both the reference and radiance spectra wavelength grids (F λ(REF) and F λ(ES) respectively) using cubic spline interpolation. The ratio of these interpolated spectra is then multiplied by the intensity of the solar irradiance, which therefore gives the desired interpolation.…”

Section: Retrieval Using Omi L1b Spectral Datamentioning

confidence: 99%

An improved retrieval of tropospheric NO2 from space over polluted regions using an Earth radiance reference

2015

View full text Add to dashboard Cite

Abstract.A novel tropospheric NO 2 DOAS retrieval algorithm optimised for a nadir-viewing satellite instrument imaging polluted areas is proposed in this work. Current satellite DOAS retrievals have relied on using a solar reference spectrum to derive a total slant column, then using either model assimilation or spatial filtering to derive the tropospheric component. In the ERrs-DOAS (Earth radiance reference sector DOAS) algorithm, tropospheric NO 2 slant columns are derived using spectra averaged from measurements over unpolluted regions, thus removing the need for post-hoc separation techniques, though some residual stratospheric biases may still remain. To validate the ERrs-DOAS algorithm, DOAS retrievals were performed on modelled spectra created by the radiative transfer model SCIA-TRAN, as well as L1B Earth radiance data measured by the NASA/KNMI Ozone Monitoring Instrument (OMI). It was found that retrievals using an Earth radiance reference produce spatial distributions of tropospheric NO 2 over eastern China during June 2005 that highly correlate with those derived using existing retrieval algorithms. Comparisons with slant columns retrieved by the operational NO 2 retrieval algorithm for OMI (OMNO2A) show that the ERrs-DOAS algorithm greatly reduces the presence of artificial across-track biases (stripes) caused by calibration errors, as well as the removal of path length enhancement in off-nadir pixels. Analysis of Pacific SCDs suggests that the algorithm also produces a 27 % reduction in retrieval uncertainty, though this may be partially due to biases introduced by differences in the retrieval algorithm settings. The ERrs-DOAS technique also reveals absorption features over the Sahara and similar regions characteristic of sand and liquid H 2 O absorption, as first discovered in the analysis of GOME-2 NO 2 retrievals.

show abstract

The High-Resolution Solar Reference Spectrum between 250 and 550 nm and its Application to Measurements with the Ozone Monitoring Instrument

Cited by 72 publications

References 16 publications

Synoptic ozone, cloud reflectivity, and erythemal irradiance from sunrise to sunset for the whole earth as viewed by the DSCOVR spacecraft from the earth–sun Lagrange 1 orbit

Synoptic ozone, cloud reflectivity, and erythemal irradiance from sunrise to sunset for the whole earth as viewed by the DSCOVR spacecraft from the earth–sun Lagrange 1 orbit

Improvements to the OMI O<sub>2</sub>–O<sub>2</sub> operational cloud algorithm and comparisons with ground-based radar–lidar observations

An improved retrieval of tropospheric NO<sub>2</sub> from space over polluted regions using an Earth radiance reference

Contact Info

Product

Resources

About

The High-Resolution Solar Reference Spectrum between 250 and 550 nm and its Application to Measurements with the Ozone Monitoring Instrument

Cited by 72 publications

References 16 publications

Synoptic ozone, cloud reflectivity, and erythemal irradiance from sunrise to sunset for the whole earth as viewed by the DSCOVR spacecraft from the earth–sun Lagrange 1 orbit

Synoptic ozone, cloud reflectivity, and erythemal irradiance from sunrise to sunset for the whole earth as viewed by the DSCOVR spacecraft from the earth–sun Lagrange 1 orbit

Improvements to the OMI O&lt;sub&gt;2&lt;/sub&gt;–O&lt;sub&gt;2&lt;/sub&gt; operational cloud algorithm and comparisons with ground-based radar–lidar observations

An improved retrieval of tropospheric NO&lt;sub&gt;2&lt;/sub&gt; from space over polluted regions using an Earth radiance reference

Contact Info

Product

Resources

About

Improvements to the OMI O<sub>2</sub>–O<sub>2</sub> operational cloud algorithm and comparisons with ground-based radar–lidar observations

An improved retrieval of tropospheric NO<sub>2</sub> from space over polluted regions using an Earth radiance reference