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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Application of Multi-frequency Tomography Radar Observations for Snow Stratigraphy
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Improving cold-region streamflow estimation by winter precipitation adjustment using passive microwave snow remote sensing datasets
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Modeling Gaps in Continental-Scale Snow Estimation as Highlighted by Land Surface Model Intercomparison
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Polarized Observations of Falling Snow from IMPACTS
The polarization of electromagnetic waves (radio waves and light) provides useful information on the dynamics and structure of precipitating storms. Polarization results from aligned precipitation particles interacting with the electromagnetic waves. This orientation is related to the dynamics of the weather system, and the orientation effects the radiative properties of the clouds (which is related to climate sensivity and feedbacks). We use observations from the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Storms (IMPACTS), a NASA field campaign aiming to understand winter storms that regularly impact the East Coast of the United States, to understand the relationship between properties of snowstorms and polarization of millimeter waves (89 GHz and 166 GHz). We see that height and intensity are strong indicators of the polarization signatures observed in these systems.
An OSSE Study for Snow Mission Development: Evaluation Over A Western Colorado Domain
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Modeled snow intercomparison over Fairbanks, Alaska domain: spatial and interannual variability from Land Information System simulations
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Snow Water Equivalent Retrieval Using Active and Passive Microwave Observations
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New giant planet beyond the snow line for an extended MOA exoplanet microlens sample
Characterizing a planet detected by microlensing is hard if the planetary signal is weak or the lens-source relative trajectory is far from caustics. However, statistical analyses of planet demography must include those planets to accurately determine occurrence rates. As part of a systematic modelling effort in the context of a >10-yr retrospective analysis of MOA’s survey observations to build an extended MOA statistical sample, we analyse the light curve of the planetary microlensing event MOA-2014-BLG-472. This event provides weak constraints on the physical parameters of the lens, as a result of a planetary anomaly occurring at low magnification in the light curve. We use a Bayesian analysis to estimate the properties of the planet, based on a refined Galactic model and the assumption that all Milky Way’s stars have an equal planet-hosting probability. We find that a lens consisting of a 1.9(+2.2,−1.2)M(J) giant planet orbiting a 0.31(+0.36,−0.19)Mꙩ host at a projected separation of 0.75±0.24au is consistent with the observations and is most likely, based on the Galactic priors. The lens most probably lies in the Galactic bulge, at 7.2(+0.6,−1.7)kpc from Earth. The accurate measurement of the measured planet-to-host star mass ratio will be included in the next statistical analysis of cold planet demography detected by microlensing.
Optimal Estimation of Snow and Ice Surface Parameters from Imaging Spectroscopy Measurements
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Optimal Estimation of Snow and Ice Surface Parameters from Imaging Spectroscopy Measurements
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Merging Models with Observations to Support Open Science, NASA SnowEx, and Snow Satellite Missions
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