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pro vyhledávání: '"Kevin J. Nelson"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 17, Pp n/a-n/a (2024)
Abstract The lack of high vertical resolution atmospheric thermodynamic structure observations inside or near major weather events impedes our understanding of physical processes and their predictability in numerical weather prediction (NWP) models.
Externí odkaz:
https://doaj.org/article/724c76324092413dae376af39324238b
Autor:
Kevin J. Nelson, Feiqin Xie, Bryan C. Chan, Ashish Goel, Jonathan Kosh, Tyler G. R. Reid, Corey R. Snyder, Paul M. Tarantino
Publikováno v:
Atmospheric Measurement Techniques. 16:941-954
The Global Navigation Satellite System (GNSS) radio occultation (RO) technique has proven to be an effective tool for Earth atmosphere profiling. Traditional spaceborne RO satellite constellations are expensive with relatively low sampling density fo
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 38:2081-2093
The planetary boundary layer (PBL) height (PBLH) is a key physical parameter of the PBL affected by numerous physical processes within the boundary layer. Specifically, the PBLH over land exhibits large spatial and temporal variation across different
Autor:
Kevin J. Nelson, Feiqin Xie, Bryan C. Chan, Ashish Goel, Jonathan Kosh, Tyler G. R. Reid, Corey R. Snyder, Paul M. Tarantino
The Global Navigation Satellite System (GNSS) radio occultation (RO) technique has proven to be an effective tool for Earth atmosphere profiling. Traditional spaceborne RO satellite constellations are expensive with relatively low sampling rates for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84ac785fe1245b4756f0c5ccd916c57f
https://doi.org/10.5194/amt-2022-198
https://doi.org/10.5194/amt-2022-198
Publikováno v:
Monthly Weather Review. 144:2137-2154
Several warm-rain microphysical parameterizations are evaluated in a regional forecast model setting (using the Naval Research Laboratory’s Coupled Ocean–Atmosphere Mesoscale Prediction System) by evaluating how accurately the model is able to re