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cannot be feasibly built across the wide range of environmental conditions present in U.S. croplands. To address this, computer simulations can evaluate the performance of different cropping systems across
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products from airborne and space-borne imaging spectroscopy missions, e.g., the HyspIRI airborne campaigns, DESIS, HISUI, and Hyperion. This effort will also inform the science data processing architecture
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troposphere and stratosphere (UT/S) - and its role in climate. We use a combination of satellite data, high-altitude aircraft measurements, and models to investigate variations in and processes that impact
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0270-NPP-NOV26-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA...
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. Description: Theoretical research and computer simulation are carried out with emphasis on observations of space plasmas. Specific interest areas include (1) nonlinear phenomena in unstable collisionless
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interest in weather/fuel and related data processing, analysis and visualization, to help research and develop potential expansions to our suite of weather-knowledge-based decision support systems and tools
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. Description: Our group uses high resolution ground-based optical and near-infrared solar spectra to diagnose and model different manifestations of stellar activity. Nearby sun-like stars are a crucial sample of
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individuals and as communities comprising larger ecosystems. Traits are also often used as parameters in computer models of terrestrial ecosystems and even the entire Earth System (such as climate models used
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process governing our universe, it is useful to characterize the similarities and differences of sounds in each heliospheric regime. What can we learn from ``hearing" the nature of energy transfer the Sun
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, genetics, analytical chemistry, geology, geophysics, statistics, and physical sciences. DNA-related STEM research focuses on developing and validating new methods, including massively parallel sequencing