The Cross-track Infrared Sounder (CrIS): a sensor for operational meteorological remote sensing

Bloom, Howard

doi:10.1109/igarss.2001.976838

Cited by 65 publications

(30 citation statements)

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“…By running a subset of spectral channels for the IASI radiative transfer model, we are able to show the expected results for any hypothetical sounders with a number of channels from 1000 to 8000 in 1000 channel steps. Also shown is the expected performance of the CPU-and GPU-based radiative transfer models for the Cross-track Infrared Sounder (CrlS) [33] with 1302 spectral channels to fly on the US National Polar-orbiting Operational Environmental Satellite System (NPOESS) spacecraft and for the NASA JPL Atmospheric Infrared Sounder (AIRS) [34] with 2378 infrared channels launched into Earth- Table 5 Computational time for single and multi CPU/GPU versions of a radiative transfer model with n channels, as tested in a personal supercomputer with one quadcore CPU and four 240-core GPUs. The original Fortran code was compiled using gfortran compiler with -O 2 compiler option.…”

Section: Pipeline Designmentioning

confidence: 99%

Development of a GPU-based high-performance radiative transfer model for the Infrared Atmospheric Sounding Interferometer (IASI)

Huang

Mielikäinen

et al. 2011

Journal of Computational Physics

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Section: Pipeline Designmentioning

confidence: 99%

Development of a GPU-based high-performance radiative transfer model for the Infrared Atmospheric Sounding Interferometer (IASI)

Huang

Mielikäinen

et al. 2011

Journal of Computational Physics

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“…In the era of contemporary and future ultraspectral sounders, such as Atmospheric Infrared Sounder (AIRS) (Aumann and Strow, 2001), Cross-track Infrared Sounder (CrIS) (Bloom, 2001), Infrared Atmospheric Sounding Interferometer (IASI) (Phulpin et al, 2002), and Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) , better inference of atmospheric, cloud and surface parameters is feasible. An ultraspectral sounder generates an unprecedented amount of three-dimensional (3D) data, consisting of two spatial and one spectral dimension.…”

Section: Introductionmentioning

confidence: 99%

Ultraspectral sounder data compression review

Huang

2008

Front. Earth Sci. China

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Ultraspectral sounders provide an enormous amount of measurements to advance our knowledge of weather and climate applications. The use of robust data compression techniques will be beneficial for ultraspectral data transfer and archiving. This paper reviews the progress in lossless compression of ultraspectral sounder data. Various transform-based, prediction-based, and clustering-based compression methods are covered. Also studied is a preprocessing scheme for data reordering to improve compression gains. All the coding experiments are performed on the ultraspectral compression benchmark dataset collected from the NASA Atmospheric Infrared Sounder (AIRS) observations.

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“…Currently, the hyperspectral data can be obtained from several sensors: the Atmospheric Infrared Sounder (AIRS) on Earth-observing system satellites [15], the Interferometer Atmospheric Sounding Instrument (IASI) on the European meteorological operational satellite program-A (METOP-A) [16,17], and the Cross-track Infrared Sounder (CrIS) on the next-generation National Polar-orbiting Operational Environmental Satellite System [18]. Among them, the CrIS, which was launched in 2011, is the most advanced and is also regarded as the next series of the AIRS.…”

Section: Introductionmentioning

confidence: 99%

Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm

Zhang

Jiang

et al. 2017

Advances in Meteorology

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The Cross-track Infrared Sounder (CrIS) is one of the most advanced hyperspectral instruments and has been used for various atmospheric applications such as atmospheric retrievals and weather forecast modeling. However, because of the specific design purpose of CrIS, little attention has been paid to retrieving land surface parameters from CrIS data. To take full advantage of the rich spectral information in CrIS data to improve the land surface retrievals, particularly the acquisition of a continuous Land Surface Emissivity (LSE) spectrum, this paper attempts to simultaneously retrieve a continuous LSE spectrum and the Land Surface Temperature (LST) from CrIS data with the atmospheric reanalysis data and the Iterative Spectrally Smooth Temperature and Emissivity Separation (ISSTES) algorithm. The results show that the accuracy of the retrieved LSEs and LST is comparable with the current land products. The overall differences of the LST and LSE retrievals are approximately 1.3 K and 1.48%, respectively. However, the LSEs in our study can be provided as a continuum spectrum instead of the single-channel values in traditional products. The retrieved LST and LSEs now can be better used to further analyze the surface properties or improve the retrieval of atmospheric parameters.

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The Cross-track Infrared Sounder (CrIS): a sensor for operational meteorological remote sensing

Cited by 65 publications

References 0 publications

Development of a GPU-based high-performance radiative transfer model for the Infrared Atmospheric Sounding Interferometer (IASI)

Development of a GPU-based high-performance radiative transfer model for the Infrared Atmospheric Sounding Interferometer (IASI)

Ultraspectral sounder data compression review

Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm

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