Simultaneous non-linear retrieval of atmospheric temperature and absorbing constituent profiles from satellite infrared sounder radiances

Li, Jun; Fengxian, Zhou; Qingcun, Zeng

doi:10.1007/bf02666541

Cited by 31 publications

(3 citation statements)

References 4 publications

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“…Total water-vapour column data (TWC) were prepared using the TOVS (TIROS Operational Vertical Sounder) instrument on the NOAA-14 satellite. TOVS raw data are analysed with the International TOVS Processing Package (ITPP; Jun et al, 1994;Jun, 1994), a physical retrieval scheme to derive atmospheric temperature and water vapour profitless for both cloudy and cloud-free situations. The average distance between retrievals is approximately 80 km, but the data are distributed irregularly in space (polar orbiting satellite).…”

Section: Water Vapourmentioning

confidence: 99%

Rethinking satellite-based solar irradiance modellingThe SOLIS clear-sky module

Mueller

Dagestad

Ineichen

et al. 2004

Remote Sensing of Environment

207

126

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Accurate solar irradiance data are not only of particular importance for the assessment of the radiative forcing of the climate system, but also absolutely necessary for efficient planning and operation of solar energy systems. Within the European project Heliosat-3, a new type of solar irradiance scheme is developed. This new type will be based on radiative transfer models (RTM) using atmospheric parameter information retrieved from the Meteosat Second Generation (MSG) satellite (clouds, ozone, water vapour) and the ERS-2/ENVISAT satellites (aerosols, ozone).This paper focuses on the description of the clear-sky module of the new scheme, especially on the integrated use of a radiative transfer model. The linkage of the clear-sky module with the cloud module is also briefly described in order to point out the benefits of the integrated RTM use for the all-sky situations. The integrated use of an RTM within the new Solar Irradiance Scheme SOLIS is applied by introducing a new fitting function called the modified Lambert -Beer (MLB) relation. Consequently, the modified Lambert -Beer relation and its role for an integrated RTM use are discussed. Comparisons of the calculated clear-sky irradiances with ground-based measurements and the current clear-sky module demonstrate the advantages and benefits of SOLIS. Since SOLIS can provide spectrally resolved irradiance data, it can be used for different applications. Beside improved information for the planning of solar energy systems, the calculation of photosynthetic active radiation, UV index, and illuminance is possible. D

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Section: Water Vapourmentioning

confidence: 99%

Rethinking satellite-based solar irradiance modellingThe SOLIS clear-sky module

Mueller

Dagestad

Ineichen

et al. 2004

Remote Sensing of Environment

207

126

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“…These assessments can be used to further improve the retrieval algorithm and to design better instrumentation. The operational algorithms used for the retrieval of temperature, humidity, and ozone from INSAT‐3D series are similar to that of Geostationary Operational Environmental Satellite (GOES)‐12 (Ma et al., 1999) and High‐resolution Infrared Sounder (HIRS) (Jun et al., 1994), which are further discussed in Section 2.1.…”

Section: Introductionmentioning

confidence: 99%

Validation of INSAT‐3D and INSAT‐3DR Temperature Profile Retrievals Using Ground‐Based, Satellite, and Reanalysis Data

Gopikrishnan,

Kuttippurath,

Thapliyal

et al. 2023

JGR Atmospheres

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Nowcasting and short‐range predictions of severe weather events require frequent observations of atmospheric thermodynamic state. To meet these requirements, India has launched a series of advanced weather satellites in geostationary platform, with Indian National Satellite System (INSAT)‐3D and INSAT‐3DR as first two satellites placed in this orbit. Both satellites are designed for meteorological observations, particularly the vertical profiles of temperature and humidity at hourly intervals. As these satellites are relatively new, there is a need to validate and make accuracy assessment of their retrievals prior to scientific analyses. These sounders have a spatial resolution of 10 km, and measurements are available from 2014 to date. This study makes use of collocated measurements of INSAT‐3D and INSAT‐3DR with those from 18 radiosondes, Atmospheric Infrared Sounder (AIRS), and reanalysis data within the troposphere (1,000–100 hPa) to validate INSAT data. We analyzed the data for India land regions, and found an average bias of about 2–3 K (1–1.5 K) in most regions, when INSAT‐3D (3DR) is compared to AIRS measurements. Compared to the reanalysis data, INSAT‐3D (3DR) shows a bias within 2.5–5 K (2–3 K) in lower troposphere, 1.5–2.5 K (1–2 K) in mid‐troposphere and 1.5–2.5 (<2 K) in upper troposphere. Similar biases were also estimated with radiosonde measurements. In general, the validation shows that temperature profiles are generally accurate within 1–1.5 K, and INSAT‐3DR retrievals are better than that of INSAT‐3D. Nevertheless, a better cloud filter together with an advanced radiative transfer model can further improve the algorithm used for retrieval.

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“…On the other hand, simultaneously obtaining accurate atmospheric parameters and surface parameters is very difficult, retrieving LST information without accurate atmospheric correction is a key issue [10]. Nowadays, regression retrieval [23]- [25], multi-channel [26], [27], artificial neural network (ANN) [28]- [31], and physical retrieval methods [32]- [40] provide solutions to obtain the LST without accurate atmospheric correction from hyperspectral thermal infrared (TIR) data. The regression retrieval method considers the linear/nonlinear empirical relation between the Alternative Physical Method for Retrieving Land Surface Temperatures from Hyperspectral Thermal Infrared Data: Application to IASI Data Xinyu Lan, Enyu Zhao, Pei Leng, Zhao-Liang Li, Jélila Labed, Françoise Nerry, Xia Zhang and Guofei Shang…”

Section: Introductionmentioning

confidence: 99%

Alternative Physical Method for Retrieving Land Surface Temperatures from Hyperspectral Thermal Infrared Data: Application to IASI Observations

Lan

Zhao

Leng

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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A physical method was developed to retrieve the land surface temperature (LST) from infrared atmospheric sounding interferometer (IASI) observations. It is a simple two-step physical retrieval method, which can be used to relinearize the radiative transfer equation (RTE) by the tangents around the initial estimates of the LST, land surface emissivity (LSE), atmospheric equivalent temperature (Ta), and water vapor content (q) without considering the complex vertical structure of the atmospheric profile. Principal component analysis was utilized to reduce the number of unknown Ta and LSE. The Tikhonov regularization method and discrepancy principle iteration algorithm were employed to stabilize the ill-posed problem and obtain the final maximum likelihood solution of the LST. A new channel selection scheme was proposed for this physical method to obtain an accurate LST estimation. This physical algorithm was tested on both simulated and real data obtained from the IASI. The root-mean-square error (RMSE) of the simulated LST is ~1 K based on an initial LST estimate with an RMSE of 2 K (1.9 K). The sensitivity analysis shows that the LST retrieval accuracy is ~1 K based on an LST with a random error of 3 K, constant initial LSE (0.97), 10% Ta error, and 40% q error. Within the given error range of the initial values of the simulated dataset, the LST retrieval accuracy is insignificantly affected by the initial estimates of the unknown variables. Finally, compared with the Advanced Very High Resolution Radiometer onboard Metop (AVHRR/Metop) LST product, the physical method based on artificial neural network improves the LST retrieval accuracy to 1.5 and 1 K for real daytime and nighttime IASI data obtained in the study area. Based on the new method,

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Simultaneous non-linear retrieval of atmospheric temperature and absorbing constituent profiles from satellite infrared sounder radiances

Cited by 31 publications

References 4 publications

Rethinking satellite-based solar irradiance modellingThe SOLIS clear-sky module

Rethinking satellite-based solar irradiance modellingThe SOLIS clear-sky module

Validation of INSAT‐3D and INSAT‐3DR Temperature Profile Retrievals Using Ground‐Based, Satellite, and Reanalysis Data

Alternative Physical Method for Retrieving Land Surface Temperatures from Hyperspectral Thermal Infrared Data: Application to IASI Observations

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