Retrieval algorithms for the EOS Microwave limb sounder (MLS)

Autor:	P. A. Wagner, W. Van Snyder, William G. Read, Nathaniel J. Livesey
Rok vydání:	2006
Předmět:	Propagation of uncertainty Spacecraft Computer science business.industry Inverse problem Atmospheric temperature Least squares Atmosphere Microwave Limb Sounder Radiance General Earth and Planetary Sciences Satellite Electrical and Electronic Engineering business Microwave Remote sensing
Zdroj:	IEEE Transactions on Geoscience and Remote Sensing. 44:1144-1155
ISSN:	1558-0644 0196-2892
DOI:	10.1109/tgrs.2006.872327
Popis:	The retrieval algorithms for the Earth Observing System Microwave Limb Sounder (MLS) on the Aura spacecraft, launched on July 15, 2004, are described. These algorithms are used to produce estimates of geophysical parameters such as vertical profiles of atmospheric temperature and composition ("Level 2" data) from the calibrated MLS observations of microwave limb radiance ("Level 1" data). The MLS algorithms are based on the standard optimal estimation approach, a weighted nonlinear least squares optimization with a priori constraints. New aspects include adaptation to a two-dimensional system, and an approach to the issues of retrieval "phasing" and error propagation that differs from that taken for previous similar instruments. Important new aspects of the software that implements these algorithms are also described, along with the algorithm configuration for the "version 1.5" dataset. Some examples are shown from MLS in-orbit observations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f0b9bbfa91813577246aa9ea353e6d7a https://doi.org/10.1109/tgrs.2006.872327 Zobrazit plný text záznamu