Impact of High Temporal Resolution FY‐4A Geostationary Interferometric Infrared Sounder (GIIRS) Radiance Measurements on Typhoon Forecasts: Maria (2018) Case With GRAPES Global 4D‐Var Assimilation System

Yin, Ruoying; Han, Wei; Gao, Zhiqiu; Li, Jun

doi:10.1029/2021gl093672

Cited by 60 publications

(32 citation statements)

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“…Therefore, GeoHSS instruments are a complementary element. While Yin et al (2021) demonstrate good benefit, it is fair to mention that GIIRS data are not flawless yet. For instance, stability and spectral calibration need improvements.…”

Section: Plain Language Summarymentioning

confidence: 99%

“…In summary, the China Meteorological Agency (CMA) is congratulated upon the successful start of their FY-4 geostationary satellite series and GIIRS. Yin et al (2021) are congratulated for demonstrating positive impact of GeoHSS observations on typhoon forecasting. The GIIRS instrument is a success story.…”

Section: Plain Language Summarymentioning

confidence: 99%

“…

The study by Yin et al (2021) describes the impact of data from the Chinese Geostationary Interferometric Infrared Sounder (GIIRS) on the forecast of typhoon Maria (2018). The study deserves highlighting because it is a milestone on the path of geostationary hyperspectral sounders (hereafter GeoHSS): GIIRS is the first GeoHSS and realizes what had been proposed by others for quite some time.

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confidence: 99%

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Good Things Need Time: Progress With the First Hyperspectral Sounder in Geostationary Orbit

Schmetz

2021

Geophysical Research Letters

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The study by Yin et al. (2021) describes the impact of data from the Chinese Geostationary Interferometric Infrared Sounder (GIIRS) on the forecast of typhoon Maria (2018). The study deserves highlighting because it is a milestone on the path of geostationary hyperspectral sounders (hereafter GeoHSS): GIIRS is the first GeoHSS and realizes what had been proposed by others for quite some time. GIIRS is deployed on the FY-4 series of Chinese geostationary meteorological satellites (Yang et al., 2017). The FY-4 series is a new generation of Chinese geostationary meteorological satellites and the first one, FY-4A, was launched on December 11, 2016. GIIRS has novel capabilities for vertical temperature and moisture sounding of the atmosphere; it has spectral channels in two bands (LW: 700-1,130 cm −1 for temperature and MW: 1,650-2,250 cm −1 for humidity and lower tropospheric temperature). Yin et al. (2021) use 48 channels from the LW band. The spatial resolution is 16 km at sub-satellite point. Technical improvements are foreseen for the next FY-4 satellites (Yang et al., 2017). Readers interested in a comprehensive description of the evolution of infrared sounding are referred to Menzel et al. (2018). My commentary consists of three parts: (a) I highlight the new potential tapped with GIIRS, (b) I recall earlier plans for GeoHSS which did not materialize yet helped the realization of GIIRS, (c) I conclude by referring to the vision of the World Meteorological Organization (WMO, 2020) which states the operational need for a ring of GeoHSS instruments around the Earth, similarly to what has been realized for imaging instruments. 1. Yin et al. (2021) describe the assimilation of targeted observations with GIIRS of Typhoon Maria which made landfall over Fujian, China on July 11, 2018. Radiance observations of selected channels were used in the Global/Regional Assimilation and PrEdiction System (GRAPES)-Global Forecast System (GFS) 4D-Var system (Shen et al., 2020). For the first time, the beneficial impact of a GeoHSS on forecasting of a tropical storm is demonstrated. Results are improved track forecast and reduced intensity forecast errors. Furthermore, the assimilation of observations with different temporal resolutions (from 15 min to

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Section: Plain Language Summarymentioning

confidence: 99%

Section: Plain Language Summarymentioning

confidence: 99%

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Good Things Need Time: Progress With the First Hyperspectral Sounder in Geostationary Orbit

Schmetz

2021

Geophysical Research Letters

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“…The China Meteorological Administration (CMA) launched the Geostationary Interferometric Infrared Sounder (GIIRS) on board the FY-4A on 1 May 2018. The value of these new type of high temporal observations to improve the quality of atmospheric wind profiles and the forecast of track and intensity of tropical cyclones has been recently demonstrated [9][10][11][12][13][14]. EUMETSAT is planning to launch the IRS onboard the MTG-S satellite towards the end of 2023 [15][16][17][18][19].…”

Section: Examples Of Such Instruments Are the National Aeronautics Andmentioning

confidence: 99%

Exploration of a Future NOAA Infrared Sounder in Geostationary Earth Orbit

Iturbide-Sanchez

Wang

Kalluri

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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A geostationary (GEO) hyperspectral infrared sounder (HyIRS) is capable of providing high spectral (0.625 cm -1 ), temporal (every 30 minutes) and spatial (4 km) resolution observations over the continental U.S. (CONUS). Frequent observations from a GEO-HyIRS at high spatial resolution are expected to contribute to the generation of three-dimensional structures of atmospheric temperature and humidity, and wind. These new observations will provide valuable information for timely forecasts of severe storms over the CONUS and the overall Western Hemisphere. Infrared (IR) sounder observations from a geostationary orbit open a new set of possibilities, including the capability of monitoring the diurnal cycle of atmospheric patterns, which is difficult from Low Earth Orbit (LEO) IR sounders and the capability of timely and accurate retrievals of several trace gases. In this paper, the feasibility of adding a HyIRS into the next generation of U.S. geostationary environmental satellites is studied. The configuration of a notional U.S. GEO-HyIRS sensor and its ground data processing system are discussed. A hyperspectral IR data simulator is developed and reported as part of this engineering study, where proxy data is used to model the end-to-end ground processing system. Various considerations for the configuration and the calibration and validation of the instrument are addressed.

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“…Numerical models can be used to provide accurate aerosol forecasting; however, there are certain challenges associated with numerical model forecasts, such as considerable uncertainties associated with the initial conditions (ICs), the physical and chemical parameterizations of the model, and the prescribed ground emissions. In this respect, data assimilation (DA) methods have been widely used to reduce uncertainty in ICs; a combination of observations (OBS) and model forecasts provides the best analysis (Seo et al, 2021;Yin et al, 2021).With the rapid expansion of observing networks, previous studies indicate the improvement in the air quality forecasts by assimilating aerosol optical depth (AOD) retrievals from geostationary and polar-orbiting satellites (Choi…”

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Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD

Lee

Park

Lee

et al. 2021

Geophysical Research Letters

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Atmospheric aerosols have a profound impact on air quality, climate change, and human health (Forster et al., 2007;Lee et al., 2020). Numerical models can be used to provide accurate aerosol forecasting; however, there are certain challenges associated with numerical model forecasts, such as considerable uncertainties associated with the initial conditions (ICs), the physical and chemical parameterizations of the model, and the prescribed ground emissions. In this respect, data assimilation (DA) methods have been widely used to reduce uncertainty in ICs; a combination of observations (OBS) and model forecasts provides the best analysis (Seo et al., 2021;Yin et al., 2021).With the rapid expansion of observing networks, previous studies indicate the improvement in the air quality forecasts by assimilating aerosol optical depth (AOD) retrievals from geostationary and polar-orbiting satellites (Choi

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Impact of High Temporal Resolution FY‐4A Geostationary Interferometric Infrared Sounder (GIIRS) Radiance Measurements on Typhoon Forecasts: Maria (2018) Case With GRAPES Global 4D‐Var Assimilation System

Cited by 60 publications

References 31 publications

Good Things Need Time: Progress With the First Hyperspectral Sounder in Geostationary Orbit

Good Things Need Time: Progress With the First Hyperspectral Sounder in Geostationary Orbit

Exploration of a Future NOAA Infrared Sounder in Geostationary Earth Orbit

Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD

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