Satellite-Based Atmospheric Infrared Sounder Development and Applications

Menzel, W. Paul; Schmit, Timothy J.; Zhang, Peng; Li, Jun

doi:10.1175/bams-d-16-0293.1

Cited by 142 publications

(98 citation statements)

References 119 publications

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“…To improve our knowledge of atmospheric thermodynamics, an effective approach is to use radiance measurements from the high spectral infrared (IR) sounders (or the advanced IR sounders; Menzel et al, ), which provide temperature and constituent profiles at a higher accuracy and vertical resolution than the classic IR sounders such as the High‐resolution Infrared Radiation Sounder (Smith et al, ) and the Geostationary Operational Environmental Satellite (GOES) Sounder (Menzel & Purdom, ). The advanced IR sounders, such as the Atmospheric Infrared Sounder (Chahine et al, ) onboard the Earth Observing System Aqua platform, the Infrared Atmospheric Sounding Interferometer (IASI) onboard the MetOp‐A and MetOp‐B satellites (Hilton et al, ), and the Cross‐Track Infrared Sounder (CrIS) onboard Suomi National Polar‐orbiting Partnership and Joint Polar orbit Satellite System series (Goldberg et al, ), have proved that the assimilation of radiances from those sounders has a significant positive impact on global and regional numerical weather prediction (NWP; Le Marshall et al, ; J. Li et al, ; McNally et al, ; Wang et al, , , ).…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Fast Radiative Transfer Model for FengYun‐4 GIIRS by Using Local Training Profiles

Han

et al. 2018

JGR Atmospheres

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With the successful launch of FengYun‐4A (FY‐4A), the first satellite in a new Chinese geostationary weather satellite series (FY‐4 series), which carries a high spectral resolution infrared (IR) sounder called GIIRS (Geosynchronous Interferometric Infrared Sounder), and vertical atmospheric profiles can be obtained frequently at the regional scale. A fast radiative transfer model is a key component for quantitative applications of GIIRS radiance measurements, including deriving soundings in near real time for situation awareness and radiance assimilation in numerical weather prediction models. The weighted least squares method on enhancing the accuracy of RTTOV (Radiative Transfer for TOVS) for GIIRS is developed. Besides, currently, fast radiative transfer models for IR sensors are based on global training profiles, since GIIRS is targeted for regional observations; it is beneficial for local weather related applications using local training profiles, which better represent the characteristics of that weather regime. A local training profile data set has been developed for GIIRS using the RTTOV approach, comparisons with line‐by‐line radiative transfer model indicate that weighted least squares method provides better accuracy (smaller root‐mean‐square error) in the brightness temperature simulation for the middlewave band of GIIRS than the ordinary least squares method, and the local training profiles have further remarkable improvements on brightness temperature simulation over the global training profiles, especially for GIIRS longwave band. The methods can be applied to RTTOV development for other IR sensors onboard the geostationary satellites.

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Section: Introductionmentioning

confidence: 99%

Enhancing the Fast Radiative Transfer Model for FengYun‐4 GIIRS by Using Local Training Profiles

Han

et al. 2018

JGR Atmospheres

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“…Sounding capability from geostationary satellites began in 1980 with the VISSR Atmospheric Sounder (VAS) on GOES satellites; see Smith (1991) and Menzel et al (2018) and their references. VAS continued in operation until 1996; the application and impact of the VAS data is summarised by Smith (1991).…”

Section: Early Instrumentsmentioning

confidence: 99%

Assimilation of satellite data in numerical weather prediction. Part I: The early years

Eyre

English

Forsythe

2019

Quart J Royal Meteoro Soc

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Developments in the assimilation of satellite data in numerical weather prediction (NWP), from the first experiments in the late 1960s to the present day, are presented in a two‐part review article. This first part reviews the early years, up to about the year 2000. It includes summaries of the relevant satellite remote sensing technologies, the theoretical and practical challenges faced when assimilating their data within NWP systems, and the impacts on forecast skill. An important part of this story concerns developments in the assimilation of information on atmospheric temperature and humidity provided by data from passive infrared and microwave radiometers. Following early successes with the assimilation of retrieved temperature profiles, there followed a problematic period, as other aspects of NWP systems improved and the impacts of satellite sounding data declined. Positive impacts were re‐established in the 1990s through moves towards more direct assimilation of radiance information. Another important theme concerns developments in the assimilation of wind information via atmospheric motion vectors, which underwent a series of improvements during these years. Additional contributions were provided by information on ocean surface wind from scatterometers. Some contributions from other technologies during this period are also summarised.

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“…Although the advanced sounding products that were originally envisioned for GOES-R series cannot be realized with the Hyperspectral Environmental Suite withdrawn, legacy sounding products that are used by the National Weather Service and other agencies must be provided. Schmit et al (2008) showed that adequate substitute products can be generated from ABI data in conjunction with information from short-term numerical model forecasts, although the quality would be slightly inferior to the GOES-13/GOES-14/GOES-15 Sounder performance, and significantly less capable than a highspectral resolution sounder with respect to information content and retrieval accuracy (Menzel et al, 2018;Schmit et al, 2009). ABI bands 8-16 (6.15 to 13.3 μm), which include four absorption bands (three water vapor bands and one CO 2 ), are the primary channels used in LAP retrieval.…”

Section: Goes-16 Observations Lap Algorithms and Productsmentioning

confidence: 99%

Legacy Atmospheric Profiles and Derived Products From GOES‐16: Validation and Applications

Schmit

Lee

et al. 2019

Earth and Space Science

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The Geostationary Operational Environmental Satellite‐R (GOES‐R) series started a new era for the U.S. geostationary satellite observing system. The Advanced Baseline Imager (ABI) onboard the GOES‐R series has fine temporal (30 s to 10 min) and spatial resolutions (0.5–2 km), and 16 spectral bands. However, due to the lack of an infrared sounder, the ABI is used to continue the legacy atmospheric profile (LAP) products that the previous GOES Sounder has, including the legacy atmospheric moisture profile, legacy atmospheric temperature profile, total precipitable water, layered precipitable water, and derived atmospheric stability indices. The ABI LAP retrieval algorithms have been developed under the GOES‐R series Algorithm Working Group (AWG) program funded by the GOES‐R Program Office. The LAP products from GOES‐16 have been operational and validated with a series of reference data sets including radiosonde observations, the Global Positioning System from SuomiNet, the Advanced Microwave Scanning Radiometer 2 total precipitable water measurements, as well as global operational analysis from National Oceanic and Atmospheric Administration and European Centre for Medium‐Range Weather Forecasts models, for almost a year (from 2017 to 2018) to assure the data quality for applications. In addition, the LAP products have been successfully demonstrated at the Hazardous Weather Testbed experiments in the summer of 2017 and the spring of 2018. Both validation results and Hazardous Weather Testbed demonstrations indicate that the GOES‐R series LAP products meet the product requirements and provide added value over NWP short‐range forecasts, especially for middle‐upper tropospheric moisture, in situation awareness and nowcasting.

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Satellite-Based Atmospheric Infrared Sounder Development and Applications

Abstract: A history of the meteorological satellite-based atmospheric sounder development and applications is presented and discussed.

Cited by 142 publications

References 119 publications

Enhancing the Fast Radiative Transfer Model for FengYun‐4 GIIRS by Using Local Training Profiles

Enhancing the Fast Radiative Transfer Model for FengYun‐4 GIIRS by Using Local Training Profiles

Assimilation of satellite data in numerical weather prediction. Part I: The early years

Legacy Atmospheric Profiles and Derived Products From GOES‐16: Validation and Applications

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