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Aumann, H. H.

Publications and source records attributed to Aumann, H. H..

At least 37 records · Page 2

Atmospheric sounding at JPL: current and future technologies

We discuss lessons learned on AIRS in the development and operations as well as plans for next generation systems including SIRAS, a wide field hyperspectral infrared imaging spectrometer which offers AIRS spectral performance at 24x the spatial resolution.

infrared

Early results from AIRS on the EOS

The Atmospheric Infrared Sounder (AIRS) on the EOS Aqua spacecraft is an infrared spectrometer/radiometer which covers the 650-2700 cm(-1) region of the spectrum with 2378 spectral channels.

hyperspectral

Status and Plans for Satellite Instrumentation: NASA

As part of its Earth Observation and Climate Monitoring Program NASA will within the next few years place a number of technologically very advanced instruments into Earth orbit. Some of these instruments represent major upgrades for instruments currently in orbit, while others will generate data previously unavailable.

Satellite Instrumentation Climate Monitoring atmos

Atmospheric Infrared Sounder on the Earth Observing System

The Atmospheric Infrared Sounder (AIRS) is a high spectral resolution IR spectrometer. AIRS, together with the Advanced Microwave Sounding Unit (AMSU) and the Microwave Humidity Sounder (MHS), is designed to meet the operational weather prediction requirements of the National Oceanic and Atmospheric Administration (NOAA) and the global change research objectives of the National Aeronautics and Space Administration (NASA). The three instruments will be launched in the year 2000 on the EOS-PM spacecraft. Testing of the AIRS engineering model will start in 1996.

Earth Observing System

Hires and beyond

The High-Resolution image construction program (HiRes) used at IPAC is based on the Maximum Correlation Method. After HiRes intensity images are constructed from IRAS data, additional images are needed to aid in scientific interpretation. Some of the images that are available for this purpose show the fitting noise, estimates of the achieved resolution, and detector track maps. Two methods have been developed for creating color maps without discarding any more spatial information than absolutely necessary: the 'cross-band simulation' and 'prior-knowledge' methods. These maps are demonstrated using the survey observations of a 2 x 2 degree field centered on M31. Prior knowledge may also be used to achieve super-resolution and to suppress ringing around bright point sources observed against background emission. Tools to suppress noise spikes and for accelerating convergence are also described.

Fowler, John W.

(abstract) The Atmospheric Infrared Sounder on EOS

The Atmospheric Infrared Sounder (AIRS) is a facility instrument on the Earth Observing System (EOS) P.M. platform. It will be launched into a 705 km high polar orbit in the year 2000. On the platform with AIRS are the Advanced Microwave Sounding Unit (AMSU) and the Microwave Humidity Sounder (MHS). The three instruments are designed to meet NASA's global change research objectives and NOAA's operational sounding requirements for global weather predictions. AIRS, AMSU, and MHS will provide global tempeature profiles with 1 k rms accuracy in 1 km thick layers in the troposphere and water burden with 10 % accuracy. This is more than a factor of two better than the current operational sounding system, TOVS, and is expected to result in a significant improvement in the medium range forecast accuracy.

remote sensing satellite temperature sounding mois

The Atmospheric Infrared Sounder on the Earth Observing System - In-orbit spectral calibration

The Atmospheric Infrared Sounder (AIRS) is a facility instrument on the Earth Observing System (EOS). The ability of AIRS to provide accurate temperature and moisture soundings with high vertical resolution depends critically on a very accurate spectral calibration. The routine in-orbit spectral calibration is accomplished with a Fabry-Perot plate with a fixed spacing of 360 microns. This paper discusses design, Signal-to-Noise, and temperature and alignment stability constraints which have to be met to achieve the required spectral calibration accuracy.

Aumann, H. H.

A maximum correlation method for image construction of IRAS survey data

An algorithm is presented for the construction of images using linear array data with nonuniform scan coverage of object space and nonuniform detector responses. The algorithm achieves the maximum correlation between adjacent pixels, i.e., the smoothest image, consistent with the data and data uncertainties. For high spatial data density and signal-to-noise ratio, the achievable spatial resolution can exceed the diffraction limit of the optics. The capability of the algorithm is illustrated using 60-micron data from the region centered on the galaxy M101, obtained during the all-sky survey performed by the Infrared Astronomical Satellite. The 60-micron map produced has a resolution of about 36 arcsec and allows the identification of many H II regions by position and aperture photometry for the brighter ones. The achieved resolution is discussed in terms of the a priori estimate of the mean correlation length of the data, the directly measured FWHM in the final image, and the results of aperture photometry of M101 H II regions NGC 5447, 5455, 5461, 5462 and 5471.

Aumann, H. H.