IASI spectral radiance validation inter-comparisons: case study assessment from the JAIVEx field campaign

Abstract

Abstract. Advanced satellite sensors are tasked with improving global-scale measurements of the Earth's atmosphere, clouds, and surface to enable enhancements in weather prediction, climate monitoring, and environmental change detection. Measurement system validation is crucial to achieving this goal and maximizing research and operational utility of resultant data. Field campaigns employing satellite under-flights with well

Comparison of global observations and trends of total precipitable water derived from microwave radiometers and COSMIC radio occultation from 2006 to 2013

“…For example, while water vapor retrievals from visible and infrared satellite sensors are limited to clear skies over both land areas and oceans, passive microwave (MW) imagers on satellites can provide all sky water vapor products, but only over oceans. These water vapor products are mainly verified by comparing to reanalyses, radiosonde measurements, or other satellite data (i.e., Soden, and Lanzante, 1996;Sohn and Smith, 2003;Noël et al, 2004;Palm et al, 2010;Sohn and Bennartz, 2008;Milz et al, 2009;Prasad and Singh, 2009;Pougatchev et al, 2009;Knuteson et al, 2010;Larar et al, 2010;Wang et al, 2010;Ho et al, 2010a, b). Results from these validation studies show that the quality of water vapor data from different satellite sensors varies under different atmospheric conditions.…”

Airborne field experiments and select radiance analysis focused on SNPP validation

“…(Joint Airborne IASI Validation Experiment) campaign conducted during 2007 and demonstrated very close agreement to be achievable between the aircraft and satellite sensors [15].…”

Error consistency analysis scheme for infrared ultraspectral sounding retrieval error budget estimation

“…Initial demonstration is given in Section 3 using measurements from the Infrared Atmospheric Sounding Interferometer (IASI) on the MetOp-A satellite (e.g. Klaes et al 2007, Hilton et al 2012 during the Joint Airborne IASI Validation Experiment (JAIVEx) (Zhou et al 2009, Larar et al 2010, followed by a discussion in Section 4 and a summary of this work.…”

“…state vector or retrievals) (Tobin et al 2006, Pougatchev et al 2009, Larar et al 2010. For example, Tobin et al (2006) used a multi-instrument/platform correlative measurement dataset to build the bestestimated atmospheric state for each individual satellite measurement for validation.…”