A Limb Correction Method for the Microwave Temperature Sounder 2 and Its Applications

Tian, Xiaoxu; Zou, Xiaolei; Yang, Shengpeng

doi:10.1007/s00376-018-8092-8

Cited by 14 publications

(17 citation statements)

References 8 publications

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“…3, scan positions range from 1 to 30 because of the pre-processing step that averages one in three scan positions. Scan-dependent biases have been previously reported for the MWTS-2 instrument onboard FY-3C (Lu et al, 2015;Tian et al, 2018). As suggested by Lu et al (2015), a contamination of the antenna by the cold target could lead to lowerthan-normal observed Earth temperature and subsequent cold bias in the O-B.…”

Section: Mwts-2mentioning

confidence: 74%

Insights into the Microwave Instruments Onboard the Fengyun 3D Satellite: Data Quality and Assimilation in the Met Office NWP System

et al. 2020

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This paper evaluates the microwave instruments onboard the latest Chinese polar-orbiting satellite, Feng-Yun 3D (FY-3D). Comparing three months of observations from the Microwave Temperature Sounder 2 (MWTS-2), the Microwave Humidity Sounder 2 (MWHS-2), and the Microwave Radiation Imager (MWRI) to Met Office short-range forecasts, we characterize the instrumental biases, show how those biases have changed with respect to their predecessors onboard FY-3C, and how they compare to the Advanced Technology Microwave Sounder (ATMS) onboard NOAA-20 and the Global Precipitation Measurement Microwave Imager (GMI). The MWTS-2 global bias is much reduced with respect to its predecessor and compares well to ATMS at equivalent channel frequencies, differing only by 0.36 ± 0.28 K (1σ) on average. A suboptimal averaging of raw digital counts is found to cause an increase in striping noise and an ascending—descending bias. MWHS-2 benefits from a new calibration method improving the 183-GHz humidity channels with respect to its predecessor and biases for these channels are within ± 1.9 K to ATMS. MWRI presents the largest improvements, with reduced global bias and standard deviation with respect to FY-3C; although, spurious, seemingly transient, brightness temperatures have been detected in the observations at 36.5 GHz (vertical polarization). The strong solar-dependent bias that affects the instrument on FY-3C has been reduced to less than 0.2 K on average for FY-3D MWRI. Experiments where radiances from these instruments were assimilated on top of a full global system demonstrated a neutral to positive impact on the forecasts, as well as on the fit to the background of independent instruments.

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Section: Mwts-2mentioning

confidence: 74%

Insights into the Microwave Instruments Onboard the Fengyun 3D Satellite: Data Quality and Assimilation in the Met Office NWP System

et al. 2020

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“…as the basis for developing a clear-sky data selection algorithm for the FY-3 MWTS. We mention here that the scan-dependent features in MWTS observations can be removed by a limb correction [42]. The limb-corrected brightness temperature observations more clearly show the features of temperature and liquid water path.…”

Section: Cloud Detection For Mwts Mwhs Hirad and Mwri Datamentioning

confidence: 85%

Studies of FY-3 Observations over the Past 10 Years: A Review

Zou

2021

Remote Sensing

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With the rapid advances and abundant observations from Chinese Fengyun-3 (FY-3) meteorological satellites, it is of great interest to summarize a decade of quality assessments of FY-3 observations. The topics covered are noise characterization, bias estimation, striping noise detection and mitigation of striping noise, radio frequency interference detection, geolocation accuracy estimation and improvement, data assimilation cloud detection and quality control for observations from the MicroWave Temperature Sounder (MWTS), the MicroWave Humidity Sounder (MWHS), the MicroWave Radiation Imager (MWRI) and the Hyperspectral Infrared Atmospheric Sounder (HIRAS) instruments on board FY-3A/B/C/D. Whether and how much FY-3 data assimilation could improve the numerical weather forecast skill strongly depends on how well the FY-3 data characteristics and errors listed above are known. This review article shall contribute to promoting internal and national usages of FY-3 observations for weather and climate studies.

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“…To better reveal weather features, a limb correction can be applied to TB observations (Goldberg et al., 2001; Tian et al., 2018; Wark, 1993; Zou & Tian, 2018). Figures 2b and 2d show the results after applying the limb correction to the TB observations shown in Figures 2a and 2c.…”

Section: Mwts‐2 and Amsu‐a Channels Limb‐correction Method And Resultsmentioning

confidence: 99%

Northeast China Cold Vortex Observed by FY‐3 MWTS‐2 and MetOp AMSU‐A

Niu

Zou

2021

JGR Atmospheres

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The northeast China cold vortex (NCCV) refers to a closed low‐pressure system over northeast China extending from China‐Siberia to the northwest Pacific coast region. It is cut off from the westerly jet belt in the middle and upper troposphere, has a cold core, lasts several days, and could bring heavy rain events in late spring and summer that are of great challenge to weather forecasters. This study investigates the possibility of observing temperature structures of NCCVs by two microwave temperature sounders, that is, the Microwave Temperature Sounder‐2 (MWTS‐2) and the Advanced Microwave Sounding Unit‐A (AMSU‐A) onboard the two polar‐orbiting operational environmental satellites (POES) Fenyun‐3 satellite FY‐3D and Meteorological Operational satellite MetOp‐B, respectively. The MWTS‐2 and AMSU‐A together provide 3D atmospheric temperatures in the middle and upper troposphere, as well as the lower stratosphere four times daily. Both limb‐corrected direct observations of brightness temperature and retrievals of atmospheric temperature within NCCVs are characterized by cold and warm cores below and above the tropopause, respectively, comparing favorably with the European Centre for Medium‐Range Weather Forecasts ERA5 reanalysis. Compared with the ERA5 reanalysis in June 2019, the MWTS‐2 retrieved atmospheric temperatures have no scan‐dependent biases, the biases are smaller than ±0.2K, and root‐mean‐square errors (RMSEs) are smaller than and 2.0K at all altitudes. This study suggests the possibility of using multiple POES microwave‐temperature‐sounding observations for near‐real‐time monitoring of NCCVs' 3D temperature structures.

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A Limb Correction Method for the Microwave Temperature Sounder 2 and Its Applications

Cited by 14 publications

References 8 publications

Insights into the Microwave Instruments Onboard the Fengyun 3D Satellite: Data Quality and Assimilation in the Met Office NWP System

Insights into the Microwave Instruments Onboard the Fengyun 3D Satellite: Data Quality and Assimilation in the Met Office NWP System

Studies of FY-3 Observations over the Past 10 Years: A Review

Northeast China Cold Vortex Observed by FY‐3 MWTS‐2 and MetOp AMSU‐A

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