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observational data. Together with international collaborators the Inverse Modelling group develops and applies inverse modelling / data assimilation systems that employ a range of observations to constrain
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
smoldering. This project will focus on utilizing these fire products in a global atmospheric data assimilation framework. Activities that would be involved in this project include (but are not limited
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation
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into the FEST-EWB model using data assimilation techniques. The estimates will be validated through comparisons with ground soil moisture and evapotranspiration measurements, information from Irrigation Consortia
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, software, network, and related computer systems, handheld and peripheral devices and ensures their operation for individuals and groups of computer users 24/7.The primary channel for customer to contact
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development work could focus on moving towards hyper-resolution land surface representations, assimilation or observations, or downscaling and improvement of forcing data. Location: Jet Propulsion Laboratory
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of information in its material forms (documents) as well as the institutions, such as libraries, where this takes place. The subject also includes cultural, societal, and technical prerequisites
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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas