Assessment of the Potential Impact of a Hyperspectral Infrared Sounder on the Himawari Follow-On Geostationary Satellite

Okamoto, Kozo; Owada, Hiromi; Fujita, Tadashi; Kazumori, Masahiro; Otsuka, Michiko; Seko, Hiromu; Ota, Yutaka; Uekiyo, Naotaka; Ishimoto, Hiroshi; Hayashi, Masahiro; Ishida, Hideyuki; Takahashi, Masaya; Bessho, Kotaro; Yokota, Hironobu

doi:10.2151/sola.2020-028

Cited by 20 publications

(34 citation statements)

References 15 publications

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“…Such studies also serve as pathfinders for the applications of future hyperspectral sounders in geostationary orbit. In addition, this work supports the OSSE studies of Li et al (2018), Okamoto et al (2020), and Wang et al (2021 to some extent using real measurements. They assessed the potential impacts of GEO hyperspectral IR sounders on NWP using an OSSE.…”

Section: Summary and Future Perspectivesupporting

confidence: 80%

“…For example, Li et al (2018) demonstrated the added value from GEO hyperspectral IR sounder data for severe local storm forecasts in a regional Observing System Simulation Experiment (OSSE). Okamoto et al (2020) also explained the advantages of GEO satellite hyperspectral IR data for both regional and global NWP models. Using a hybrid OSSE, Wang et al (2021) demonstrated the improved local severe storm forecasts including atmospheric temperature, moisture, wind and precipitation forecasts when assimilating hyperspectral IR sounder data in a regional NWP.…”

mentioning

confidence: 99%

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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

Yin

Han

Gao

et al. 2021

Geophysical Research Letters

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Tropical cyclone (TC) forecasts depend highly on the accuracy of atmospheric temperature and humidity structures in the initial field of the model. Satellite sounder observations, such as microwave and infrared (IR) sounders, are the main source of temperature and water vapor information over the tropical ocean where there are relatively sparse conventional in situ observations (Li & Liu, 2009;Wang et al., 2014Wang et al., , 2017. Compared with IR imagers, hyperspectral IR sounders, such as the Infrared Atmospheric Sounder Interferometer (IASI), the Atmospheric Infrared Sounder (AIRS) and the Cross-track Infrared Sounder (CrIS) (Menzel et al., 2018), have thousands of channels that can provide accurate and detailed atmospheric temperature and humidity information with high vertical resolution (Wang et al., 2007).The assimilation of hyperspectral IR sounder data has shown positive impacts on numerical weather prediction (NWP) (

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Section: Summary and Future Perspectivesupporting

confidence: 80%

mentioning

confidence: 99%

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

Han

Gao

et al. 2021

Geophysical Research Letters

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“…Such an approach may also enhance our understanding of convective impacts by providing timecontinuous observations (Li et al, 2018) in future research. The ability of the synergistic method to leverage hyperspectral infrared observations to improve NWP outputs (y atm ) also suggests that the inclusion of cloudy-sky observations in global data assimilation systems, as performed by Okamoto et al (2020), would be advantageous.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Our understanding of UTLS water vapor has long been informed by accurate in situ observations carried out during aircraft and balloon campaigns. Long-term records provided by balloon-borne observations have suggested a decadal increase in stratospheric water vapor (Oltmans et al, 2000;Rosenlof et al, 2001;Hurst et al, 2011) but a decadal cooling in tropical tropopause temperature over the same period (Rosenlof et al, 2001;Randel et al, 2004). These contradictory trends in water vapor and temperature are not reproduced well by reanalysis products (Davis et al, 2017), and the key processes at play are still under debate.…”

Section: Introductionmentioning

confidence: 99%

A simulation-experiment-based assessment of retrievals of above-cloud temperature and water vapor using a hyperspectral infrared sounder

Feng

Huang

2021

Atmos. Meas. Tech.

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Abstract. Measuring atmospheric conditions above convective storms using spaceborne instruments is challenging. The operational retrieval framework of current hyperspectral infrared sounders adopts a cloud-clearing scheme that is unreliable in overcast conditions. To overcome this issue, previous studies have developed an optimal estimation method that retrieves the temperature and humidity above high thick clouds by assuming a slab of cloud. In this study, we find that variations in the effective radius and density of cloud ice near the tops of convective clouds lead to non-negligible spectral uncertainties in simulated infrared radiance spectra. These uncertainties cannot be fully eliminated by the slab-cloud assumption. To address this problem, a synergistic retrieval method is developed here. This method retrieves temperature, water vapor, and cloud properties simultaneously by incorporating observations from active sensors in synergy with infrared radiance spectra. A simulation experiment is conducted to evaluate the performance of different retrieval strategies using synthetic radiance data from the Atmospheric Infrared Sounder (AIRS) and cloud data from CloudSat/CALIPSO. In this experiment, we simulate infrared radiance spectra from convective storms through a combination of a numerical weather prediction model and a radiative transfer model. The simulation experiment shows that the synergistic method is advantageous, as it shows high retrieval sensitivity to the temperature and ice water content near the cloud top. The synergistic method more than halves the root-mean-square errors in temperature and column integrated water vapor compared to prior knowledge based on the climatology. It can also improve the quantification of the ice water content and effective radius compared to prior knowledge based on retrievals from active sensors. Our results suggest that existing infrared hyperspectral sounders can detect the spatial distributions of temperature and humidity anomalies above convective storms.

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“…The more realistic each of the OSSE components is, the more consistent the results will be with experiments using real observations [63]. Thus, the fifth generation of the ECMWF reanalysis (i.e., ERA-5) was used as a nature run or "true" atmospheric state in this study.…”

Section: The Geoms and Its Simulated Radiancesmentioning

confidence: 99%

The Potential Impact of Assimilating Synthetic Microwave Radiances Onboard a Future Geostationary Satellite on the Prediction of Typhoon Lekima Using the WRF Model

Wang

Chen

et al. 2021

Remote Sensing

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Geostationary meteorological satellites can provide continuous observations of high-impact weather events with a high temporal and spatial resolution. Sounding the atmosphere using a microwave instrument onboard a geostationary satellite has aroused great study interests for years, as it would increase the observational efficiency as well as provide a new perspective in the microwave spectrum to the measuring capability for the current observational system. In this study, the capability of assimilating future geostationary microwave sounder (GEOMS) radiances was developed in the Weather Research and Forecasting (WRF) model’s data assimilation (WRFDA) system. To investigate if these frequently updated and widely distributed microwave radiances would be beneficial for typhoon prediction, observational system simulation experiments (OSSEs) using synthetic microwave radiances were conducted using the mesoscale numerical model WRF and the advanced hybrid ensemble–variational data assimilation method for the Lekima typhoon that occurred in early August 2019. The results show that general positive forecast impacts were achieved in the OSSEs due to the assimilation of GEOMS radiances: errors of analyses and forecasts in terms of wind, humidity, and temperature were both reduced after assimilating GEOMS radiances when verified against ERA-5 data. The track and intensity predictions of Lekima were also improved before 68 h compared to the best track data in this study. In addition, rainfall forecast improvements were also found due to the assimilation impact of GEOMS radiances. In general, microwave observations from geostationary satellites provide the possibility of frequently assimilating wide-ranging microwave information into a regional model in a finer resolution, which can potentially help improve numerical weather prediction (NWP).

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Assessment of the Potential Impact of a Hyperspectral Infrared Sounder on the Himawari Follow-On Geostationary Satellite

Cited by 20 publications

References 15 publications

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

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

A simulation-experiment-based assessment of retrievals of above-cloud temperature and water vapor using a hyperspectral infrared sounder

The Potential Impact of Assimilating Synthetic Microwave Radiances Onboard a Future Geostationary Satellite on the Prediction of Typhoon Lekima Using the WRF Model

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