Summary: Sensitivity of satellite microwave and infrared
observations to soil moisture at a global scale: 2.
Global statistical relationships
Laboratoire de Me´te´orologie Dynamique, Institut Pierre Simon Laplace (IPSL)/CNRS, Universite´ Pierre et Marie Curie,
Observatoire de Paris Laboratoire d'E´tude du Rayonnement et de la Matie`re en Astrophysique (LERMA)/CNRS, Paris,
W. B. Rossow
NASA Goddard Institute for Space Studies, New York, New York, USA
Received 4 June 2004; revised 6 October 2004; accepted 15 March 2005; published 1 June 2005.
 In part 1 of this study (Prigent et al., 2004), in situ measurements were used to analyze
and describe the sensitivities of satellite measurements (i.e., active and passive microwave
observations and surface skin temperature diurnal cycle amplitude) to the soil
moisture variations to describe the complex relationships that exist between them. Soil
moisture was considered in the first 10-cm layer on a 0.25° equal-area grid and a monthly
timescale. In this study, the lessons from the first paper are exploited to document the
sensitivity of the satellite data to the global large-scale variations of soil moisture. A
statistical model based on neural networks is developed to link the satellite observations