A fast radiative transfer model for SSMIS upper atmosphere sounding channels

Han, Yong; Weng, Fuzhong; Liu, Quanhua; Delst, Paul van

doi:10.1029/2006jd008208

Cited by 104 publications

(71 citation statements)

References 18 publications

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“…Hartmann et al (1996) observed the Zeeman broadening of the oxygen emission line of the 9 + line in the 61.1509 ± 0.062 GHz frequency range using the Millimeter-Wave Atmospheric Sounder on the NASA space shuttle during the ATLAS missions. Comparison of satellite measurements and radiative transfer models including the Zeeman effect have also been addressed (Han et al, 2007(Han et al, , 2010Schwartz et al, 2006). Han et al (2007) used spectral passband measurements from the Special Sensor Microwave Imager/Sounder (SSMIS) on board the Defense Meteorology Satellite Program F-16 satellite to measure the oxygen magnetic dipole transitions (7+, 9+, 15+, and 17+; Rosenkranz, 1993).…”

Section: F Navas-guzmán Et Al: Zeeman Effect Measurements In Atmospmentioning

confidence: 99%

“…Comparison of satellite measurements and radiative transfer models including the Zeeman effect have also been addressed (Han et al, 2007(Han et al, , 2010Schwartz et al, 2006). Han et al (2007) used spectral passband measurements from the Special Sensor Microwave Imager/Sounder (SSMIS) on board the Defense Meteorology Satellite Program F-16 satellite to measure the oxygen magnetic dipole transitions (7+, 9+, 15+, and 17+; Rosenkranz, 1993). These measurements were used to validate a fast model developed from the radiative transfer model of Rosenkranz and Staelin (1988).…”

Section: F Navas-guzmán Et Al: Zeeman Effect Measurements In Atmospmentioning

confidence: 99%

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Zeeman effect in atmospheric O<sub>2</sub> measured by ground-based microwave radiometry

et al. 2015

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Abstract. In this work we study the Zeeman effect on stratospheric O 2 using ground-based microwave radiometer measurements. The interaction of the Earth magnetic field with the oxygen dipole leads to a splitting of O 2 energy states, which polarizes the emission spectra. A special campaign was carried out in order to measure this effect in the oxygen emission line centered at 53.07 GHz. Both a fixed and a rotating mirror were incorporated into the TEMPERA (TEMPERature RAdiometer) in order to be able to measure under different observational angles. This new configuration allowed us to change the angle between the observational path and the Earth magnetic field direction. Moreover, a highresolution spectrometer (1 kHz) was used in order to measure for the first time the polarization state of the radiation due to the Zeeman effect in the main isotopologue of oxygen from ground-based microwave measurements. The measured spectra showed a clear polarized signature when the observational angles were changed, evidencing the Zeeman effect in the oxygen molecule. In addition, simulations carried out with the Atmospheric Radiative Transfer Simulator (ARTS) allowed us to verify the microwave measurements showing a very good agreement between model and measurements. The results suggest some interesting new aspects for research of the upper atmosphere.

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Section: F Navas-guzmán Et Al: Zeeman Effect Measurements In Atmospmentioning

confidence: 99%

Section: F Navas-guzmán Et Al: Zeeman Effect Measurements In Atmospmentioning

confidence: 99%

Zeeman effect in atmospheric O<sub>2</sub> measured by ground-based microwave radiometry

et al. 2015

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“…Incorporating a realistic stratosphere has resulted in some gains in extended-range forecasts (Jung and Leutbecher, 2007), is expected to benefit the assimilation of new microwave measurements (Han et al, 2007), and has served as the basis for reanalysis (Uppala et al, 2005, Bloom et al, 2005 used for trend studies and transport calculations. Research NWP models such as the Canadian Middle Atmosphere Model (CMAM) have added a full mesosphere, and have been used to characterize the impact of assimilation schemes on the mesospheric forecast (Polavarapu et al, 2005;Sankey et al, 2007;Ren et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Assimilation of stratospheric and mesospheric temperatures from MLS and SABER into a global NWP model

Hoppel

Baker²,

Coy

et al. 2008

Atmos. Chem. Phys.

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Abstract. The forecast model and three-dimensional variational data assimilation components of the Navy Operational Global Atmospheric Prediction System (NOGAPS) have each been extended into the upper stratosphere and mesosphere to form an Advanced Level Physics High Altitude (ALPHA) version of NOGAPS extending to ∼100 km. This NOGAPS-ALPHA NWP prototype is used to assimilate stratospheric and mesospheric temperature data from the Microwave Limb Sounder (MLS) and the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) instruments. A 60-day analysis period in January and February 2006, was chosen that includes a well documented stratospheric sudden warming. SABER and MLS temperatures indicate that the SSW caused the polar winter stratopause at ∼40 km to disappear, then reform at ∼80 km altitude and slowly descend during February. The NOGAPS-ALPHA analysis reproduces this observed stratospheric and mesospheric temperature structure, as well as realistic evolution of zonal winds, residual velocities, and Eliassen-Palm fluxes that aid interpretation of the vertically deep circulation and eddy flux anomalies that developed in response to this wavebreaking event. The observation minus forecast (O-F) standard deviations for MLS and SABER are ∼2 K in the midstratosphere and increase monotonically to about 6 K in the upper mesosphere. Increasing O-F standard deviations in the mesosphere are expected due to increasing instrument error and increasing geophysical variance at small spatial scales in the forecast model. In the mid/high latitude winter regions, 10-day forecast skill is improved throughout the upper stratosphere and mesosphere when the model is initialized using the high-altitude analysis based on assimilation of both SABER and MLS data.

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“…In this study, the community radiative transfer model (CRTM) developed by the US Joint Centre for Satellite Data Assimilation (JCSDA) for rapid calculations of satellite radiances is used to produce global simulations of brightness temperatures that are measured by MWTS (Weng 2007, Han et al 2007). The vertical profiles of pressure, temperature, and specific humidity, the surface parameters of surface skin temperature, 2-m wind speed, and wind direction from the NCEP Global Forecast System (GFS) 6-h forecasts are used as input to CRTM, along with sensor's zenith angle serving as additional input to CRTM.…”

Section: Model Simulationsmentioning

confidence: 99%

A quality control procedure for Fengyun-3A microwave temperature sounder with emphasis on a new cloud detection algorithm

Wang¹,

Ren²,

Li³

2016

JSHESS

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A cloud detection algorithm for satellite radiance from the microwave temperature sounder (MWTS) on board the first satellite of the Chinese polar-orbiting Fengyun-three series (FY-3A) is proposed based on the measurements at the frequencies of 50.3 and 53.6 GHz. The cloud liquid water path index (LWP index) is calculated using the brightness temperature at these two channels. Analysis of one case carried out in January 2010 shows the great consistency between this new algorithm result and the available liquid water path product from the Meteorological Operational satellite A (MetOp-A). In general, about 60% of the global MWTS data are considered to be contaminated by cloud by virtue of the new cloud detection algorithm. A quality control (QC) procedure is applied to MWTS measurements with emphasis on the cloud detection. The QC steps are composed of (i) channel 2 over sea ice, land and coastal field of views (FOVs); (ii) channels 2 and 3 over cloudy FOVs; and (iii) outliers with large differences between observations and model simulations. After QC, MWTS measurements of channels 2-4 agree very well with the model simulations using the National Centres for Environmental Prediction (NCEP) forecast data as radiative transfer model input; the scan biases are reduced significantly, especially at the edges of the swath; and the frequency distributions of the differences between observations and model simulations become more Gaussian-like.

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A fast radiative transfer model for SSMIS upper atmosphere sounding channels

Cited by 104 publications

References 18 publications

Zeeman effect in atmospheric O<sub>2</sub> measured by ground-based microwave radiometry

Zeeman effect in atmospheric O<sub>2</sub> measured by ground-based microwave radiometry

Assimilation of stratospheric and mesospheric temperatures from MLS and SABER into a global NWP model

A quality control procedure for Fengyun-3A microwave temperature sounder with emphasis on a new cloud detection algorithm

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A fast radiative transfer model for SSMIS upper atmosphere sounding channels

Cited by 104 publications

References 18 publications

Zeeman effect in atmospheric O&lt;sub&gt;2&lt;/sub&gt; measured by ground-based microwave radiometry

Zeeman effect in atmospheric O&lt;sub&gt;2&lt;/sub&gt; measured by ground-based microwave radiometry

Assimilation of stratospheric and mesospheric temperatures from MLS and SABER into a global NWP model

A quality control procedure for Fengyun-3A microwave temperature sounder with emphasis on a new cloud detection algorithm

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Product

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Zeeman effect in atmospheric O<sub>2</sub> measured by ground-based microwave radiometry

Zeeman effect in atmospheric O<sub>2</sub> measured by ground-based microwave radiometry