From version 000383 there is tool available for conversion WMO FM-12 SYNOP code to FM-94 BUFR code. Version 3.0 140306. Applies to BUFRdisplay v0.6.6 and subsequent. BUFRdisplay is a program to: • Examine the contents of BUFR-encoded files to see what data is included, as well as providing a detailed listing of the file structure. • Decode and display BUFR files, as long as the data can be represented geographically.

The Infrared Atmospheric Sounding Interferometer (IASI), implemented on the MetOp satellite series, represents a significant step forward in atmospheric forecast and weather understanding. The instrument provides infrared soundings of unprecedented accuracy and spectral resolution to derive humidity and atmospheric temperature profiles, as well as some of the chemical components playing a key role in climate monitoring. IASI collects rich spectral information, which results in large amounts of data (about 16 Gigabytes per day). Efficient compression techniques are requested for both transmission and storage of such huge data. This study reviews the performance of several state of the art coding standards and techniques for IASI L1C data compression. Discussion embraces lossless, near-lossless and lossy compression. Several spectral transforms, essential to achieve improved coding performance due to the high spectral redundancy inherent to IASI products, are also discussed.

Illustrative results are reported for a set of 96 IASI L1C orbits acquired over a full year (4 orbits per month for each IASI-A and IASI-B from July 2013 to June 2014). Further, this survey provides organized data and facts to assist future research and the atmospheric scientific community. The literature on IASI data is extensive.

Beamng Drive Experimental V0 3 6 9 Exercise. IASI products provide qualitative data for a wealth of possibilities such as numerical weather prediction (NWP) []; for studying the essential climate variables as cloud properties, greenhouse gases, or the hydrological cycle evaluation []; for predicting temperature and water vapor profiles [,]; or for analyzing several chemical atmospheric components (CO, CO 2, CH 4, SO 2, N 2O, HNO 3, NH 3, OCS, and CF 4) [,,,,,,]. The high resolution of the data also allows to examine the composition of the lowest part of the atmosphere, enabling the research of specific events. For instance, Coheur et al. [] and Turquety et al. [] use IASI data to study the chemical composition deep in the troposphere to track the emission and movement of pollution from wildfires. Download Ez.Photo.Calendar.Creator.Plus.V907.Rar on this page.

The high definition of the sensor in terms of spectral, spatial, and temporal resolution produce collected data with a considerably large size: about 16 Gigabytes per day in Binary Universal Form (BUFR) for the Representation of meteorological data format. IASI covers the spectral range between 645 and 2760 cm − 1. In each acquisition, 8359 spectral channels are acquired on the satellite, the IASI processing chain [] leads to 8461 channels distributed on Earth, thus yielding a large volume of information, which is costly to manage in an operational context, i.e., for transmission and storage. An effective way to alleviate the large amount of data produced by the instrument is to compress the IASI products according to the specific needs of the final users. In the IASI community, Principal Component Compression (PCC) is an accepted approach for compression of IASI data. PCC is a lossy compression strategy intended to produce a truncated Principal Components (PC) representation; additionally, it allows to reduce the dimensionality of the data [,,,,,]. Although PCC is a mature field in the scope of IASI dimensionality-reduction and of IASI compression, other data compression techniques can also produce competitive performance for compression of IASI spectra.

The remaining part of the paper is organized as follows. Briefly introduces the space program operating IASI, details of the instrument, and the processing performed since the data are acquired by the instrument until they are disseminated to end-users. Introduces the basic scheme of a data coding system, the characteristics of the coding techniques assessed, puts forward the setting and parameters of each technique, and states the benefits of applying a spectral transform along the spectral dimension. Reports the experimental results and provides analysis and an extensive discussion. Finally, draws some conclusions. IASI Instrument. IASI instrument is implemented on the MetOp satellite series, which is part of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Polar System (EPS).

The mission is led by EUMETSAT in cooperation with American scientific agency National Oceanic and Atmospheric Administration (NOAA). Both organizations hold close collaboration through the Initial Joint Polar System (IJPS).

The MetOp satellites carry a set of instruments provided by NOAA and a new generation of European instruments, IASI among them. The main objective of the program is to harvest and exchange environmental data between EUMETSAT and NOAA and disseminate the collected information to the scientific community in support of global climate monitoring and NWP [,], where IASI represents the principal instrument of the mission. The EPS comprises both space and ground components.