A Smarter Typical Meteorological Dataset: Advancing Accuracy in Solar Energy Yield Estimation
This poster provides an overview a smarter typical meteorological dataset to advance accuracy in solar energy yield estimation.
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This poster provides an overview a smarter typical meteorological dataset to advance accuracy in solar energy yield estimation.
Knowledge of airborne particulate matter (PM), especially the particles that have supermicron diameters, is key for understanding ice-nucleating particles (INPs). Supported by the Atmospheric Radiation Measurement (ARM) user facility, we sampled PM and surface soil materials at the Southern Great Plains observatory (SGP; 36° 36′ 18″ N, 97° 29′ 6″ W) to systematically compare the INP abundance and ice nucleation efficiency of different SGP samples (i.e., airborne versus surface materials). The field campaign, named Examing INP from SGP II (ExINP-SGP II), was conducted from 20 January to 20 April, 2021. Our data analysis products include (1) physical surface sorption characterization data (i.e., BET, pore volume) of two sets of samples -- SGP Soil and USDA, (2) X-ray diffraction spectra for the same two samples, (3) immersion freezing assay-based ice nucleation active mass density data as a function of freezing temperature for both ambient and surface samples, and (4) time-series data of ambient meteorological conditions, concentration particle counter-derived aerosol particle concentration, and aerosol particle sizer measurement during ExINP-SGP II.
Current nasa meteorological satellite program
Nasa meteorological satellite future plans
This paper presents a status report on the progress of the Meteorological Satellite Program. In this review, I shall try to emphasize primarily the accomplishments since May 1961 when a report on the program was given to the First National Conference on Peaceful Uses of Space in Tulsa, Oklahoma. It is now one year later, and it is fitting that we stop and take stock of what we have been doing and where we are heading.
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