The Man computer Interactive Data Access System (McIDAS) project began over 30 years ago at the University of
Wisconsin-Madison to analyze and visualize data from the first generation of geostationary weather satellites. McIDAS
continues to provide a strong data analysis and visualization capability for the current environmental satellites. However,
the next generation of operational remote sensing instruments under development for the NPOESS and GOES-R
programs require software tools with expanded capability and performance to support innovative techniques for
developing algorithms, visualizing data and products, and evaluating results. A project is underway at SSEC to develop
the fifth generation of McIDAS, a java-based, open-source system for multispectral and hyperspectral researchers and
algorithm developers that will provide powerful new data manipulation and visualization tools to work in this data rich
environment. NASA EOS MODIS and AIRS data as well as MSG SEVERI and METOP IASI data are now being used
in conjunction with in situ and gridded data to develop new analysis and product validation techniques in the McIDAS-V
environment. This new data analysis and visualization system will support both researchers and operational users of the
advanced measurement systems on NPOESS and GOES R.
HYDRA (Hyper-Spectral Data Research Application) is an interactive visualization and analysis tool developed for the
interrogation and research of multi-and hyper-spectral satellite data. HYDRA has been used extensively around the
world in the training of remote sensing scientists and in the development of applications. This experience represents
valuable preparation for the development of new visualization and analysis tools needed for the upcoming GOES-R and
NPOESS missions. It is listed by the WMO and NASA as a recommended visualization tool.
The Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the University of Wisconsin-Madison, USA, has a long history of software development to acquire and process radiances measurements from polar orbiting and geostationary weather satellites. Since 1983, CIMSS has worked with the International TOVS Working Group (ITWG) to create the International TOVS/ATOVS Processing Packages (ITPP/IAPP). CIMSS has also worked with NASA and the Earth Observing System (EOS) direct broadcast community to create the International MODIS/AIRS Processing Package (IMAPP). The International TOVS Processing Package (ITPP) provides Level 0 to 1B processing and software to retrieve vertical profiles of temperature and moisture from AHVRR, HIRS and MSU radiances on NOAA polar orbiting satellites through NOAA -14. For NOAA -15 through the current NOAA -17 satellites, the International ATOVS Processing Package (IAPP) works in conjunction with the AAPP (AVHRR and ATOVS Processing Package), developed by Eumetsat, to accomplish the same tasks for this new generation of NOAA polar weather satellites. Within the NASA Earth Observing System (EOS) program, a direct broadcast capability was created for MODIS and AIRS radiance measurements. The NASA Earth System Enterprise provided support to the University of Wisconsin CIMSS to develop Level 0 to 1B processing software for MODIS and AIRS radiances. The International MODIS/AIRS Processing Package (IMAPP) allows any ground station capable of receiving direct broadcast from Terra or Aqua to produce calibrated and geolocated MODIS radiances (Level 1), along with a select group of science products (Level 2). IMAPP is derived from the operational MODIS processing software developed at NASA GSFC, and is modified to be compatible with direct broadcast data. This poster will describe the functionality of the IAPP and IMAPP software, including its applications, examples from processing and how to obtain the software.
The International ATOVS Processing Package (IAPP) is under development at the Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison. The IAPP will be available to world wide users for processing real time ATOVS data. The retrieval algorithm of the IAPP is described with specific reference to retrieval of atmospheric temperature profile, moisture profile, total ozone, surface skin temperature, and microwave surface emissivity. Nine adjacent HIRS/3 spot observations together with the AMSU footprint remapped to the HIRS/3 resolution, are used to retrieve one atmospheric temperature profile and the other parameters within that domain. The algorithm is tested using simulated ATOVS data for both clear and cloudy sky conditions. Results demonstrate the potential use of IAPP for processing the real time ATOVS data.
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