Stability of the HY-2B Scanning Microwave Radiometer (SMR) Brightness Temperature Using a Modified Vicarious Cold Reference

Wang, Shishuai; Zhou, Wu; Yin, Xiaobin; Li, Yan; Wang, Xi; Li, Hongjin

doi:10.1109/tgrs.2022.3167556

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…In addition, it should be noted that the original observations vary in geolocation (Figure 3) and resolution between frequencies due to the different frequency feedhorns of the SMR sharing a single reflector antenna. In this study, the SMR L2A_TC_Res6 data used have been intercalibrated Wang et al (2022) and observations from various frequencies have been remapped to the geolocation and resolution of 6.925 GHz using the Backus-Gilbert method Robinson et al (1992). The corresponding retrieved product, named L2C_Res6, was also applied for the QC and BC procedures.…”

Section: Smr Observationsmentioning

confidence: 99%

“…As illustrated in Figure 1, the HY‐2B SMR effectively fills the gap between the swaths of the MWRIs on board FY‐3C and FY‐3D . Furthermore, some preliminary efforts have been made in terms of intersatellite cross‐validation Ma et al (2019); Liu et al (2019), long‐term in‐orbit stability assessment Wang et al (2022) and retrieval product accuracy evaluation Zhang et al (2021); Yili et al (2014); Wu et al (2023). These results demonstrated that high‐quality SMR observations are suitable for data assimilation.…”

Section: Introductionmentioning

confidence: 99%

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Impact of HY‐2B SMR radiance assimilation on CMA global medium‐range weather forecasts

Li,

Han

2024

Quart J Royal Meteoro Soc

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The Chinese second ocean dynamic environment satellite Haiyang‐2B (HY‐2B), was successfully launched on 25 October 2018, carrying a Scanning Microwave Radiometer (SMR) to provide the information of ocean and atmosphere. For the first time, this study investigated the impact of radiance data from the HY‐2B SMR in the Four Dimensional Variational (4DVar) Data Assimilation system of the Global Forecast System developed by the China Meteorology Administration (CMA‐GFS). Prior to the radiance assimilation, we evaluated the data quality and developed suitable quality control (QC) procedures for the HY‐2B SMR observations. In addition, the cloud liquid water path (CLWP) and ocean wind speed (OWS) were introduced as new bias correction (BC) predictors to remove the systematic bias originating from the forward operator in the CMA‐GFS 4DVar system. The assimilation effects of SMR observations were evaluated through one‐month cycling experiments. Verification with independent observations and reanalysis data has demonstrated that assimilating SMR clear‐sky radiance can greatly reduce the analysis errors for temperature and humidity, while indirectly improve the quality of wind analysis. Furthermore, significant improvements in geopotential height forecasts were found for days 1‐5 in the lower troposphere of the tropical region.This article is protected by copyright. All rights reserved.

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Section: Smr Observationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of HY‐2B SMR radiance assimilation on CMA global medium‐range weather forecasts

Li,

Han

2024

Quart J Royal Meteoro Soc

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“…Then, the National Satellite Ocean Application Service (NSOAS) data processing center uses L2A_TB datasets to conduct inter-calibration with other microwave imager observations [23,24] and model-calculated results [25]. These product results are called L2A_TC, which have a smaller annual drift and better stability compared with the L2A_TB datasets, with annual drifts of TBs less than 0.1 K per year [26]. Moreover, in order to retrieve the precise geophysical parameters from multi-frequency TBs, the original resolution of radiance datasets (L2A_TC_Res0) was spatially resampled to the resolution of 6.925 GHz (L2A_TC_Res6) based on the Backus-Gilbert (BG) method.…”

Section: Hy-2b Smr Radiance Datamentioning

confidence: 99%

Biases’ Characteristics Assessment of the HY-2B Scanning Microwave Radiometer (SMR)’s Observations

Han

et al. 2023

Remote Sensing

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The second Chinese ocean dynamic environment satellite Haiyang-2B (HY-2B), carrying a scanning microwave radiometer (SMR) to provide information on the ocean and atmosphere, was successfully launched on 25 October 2018. Before the data assimilation, it is necessary to characterize and evaluate the biases of the HY-2B SMR observations. This study is the first to conduct a systematic assessment of the SMR radiance data based on observation minus background simulation (O-B). Three types of numerical weather prediction (NWP) datasets, including ECMWF Reanalysis v5 (ERA5), the analysis fields from the NCEP Global Forecast System (NCEP-GFS), and the analysis fields from the Global Regional Assimilation and Prediction System-Global Forecast System (GRAPES-GFS), were used as input information for RTTOV v12.3 to simulate the SMR’s observed brightness temperature (TB) under clear-sky conditions. Study results showed that the O-B biases and IQR of the SMR for most channels were within −2.5–0.4 K and smaller than 4 K, respectively. The SMR observations were generally consistent with the RTTOV simulations, even based on the different NWP fields. These results indicate a good prospect for the assimilated application of HY-2B SMR radiance data. However, due to the impact of RFI, the SMR’s descending data for two 10.7 GHz channels showed some significant positive biases larger than 50 K over the seas of the European region. In addition, it seems that the bias characteristics of the SMR’s ascending data were obviously different from those of the descending data. It was also found that the variation trend of scan-position-dependent bias was generally stable for the SMR’s ascending data but fluctuates significantly for the descending data, with a maximum amplitude greater than 0.7 K for some channels.

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HY-2B SMR’s Sea Surface Temperature Retrieval Considering Parameter Crosstalk

Zhou,

Lin,

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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Stability of the HY-2B Scanning Microwave Radiometer (SMR) Brightness Temperature Using a Modified Vicarious Cold Reference

Cited by 5 publications

References 22 publications

Impact of HY‐2B SMR radiance assimilation on CMA global medium‐range weather forecasts

Impact of HY‐2B SMR radiance assimilation on CMA global medium‐range weather forecasts

Biases’ Characteristics Assessment of the HY-2B Scanning Microwave Radiometer (SMR)’s Observations

HY-2B SMR’s Sea Surface Temperature Retrieval Considering Parameter Crosstalk

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