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for determination of errors in path delay modeling; (2) understanding the origin of these errors; and (3) working to develop methodologies for mitigation of these wet-delay errors. In addition to deterministic
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of this group is to evaluate, diagnose, and attribute model errors to physical processes through innovative approaches using NASA satellite data (e.g., CERES, CALIPSO, CloudSAT, and MODIS). The research being
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. This includes characterization of the properties of fault zones and the surrounding rocks. The goal of this research is to understand how faults interact with each other and the Earth‘s crust and mantle to better
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system, satellite radiances play an important role in constraining atmospheric states and reducing model forecast errors. Traditionally only clear-sky radiances had been used in data assimilation systems
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system, hyperspectral infrared satellite radiance data have been used extensively and they have proved significant impact on reducing model forecast errors and constraining atmospheric states. This NPP
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at a fraction of the computing cost. This will be extremely useful to generate simulations on the fly, thus enabling Monte Carlo error analyses where the plasma parameter space is not entirely certain [4
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, coseismic fault slip, and subsidence in urban settings. In recognition of the potential value of SAR-derived information to operational agencies and emergency responders, the NISAR Science Team held community