Improving the Non-Hydrostatic Numerical Dust Model by Integrating Soil Moisture and Greenness Vegetation Fraction Data with Different Spatiotemporal Resolutions

Dust storms are devastating natural disasters that cost billions of dollars and many human lives every year. Using the Non-Hydrostatic Mesoscale Dust Model (NMM-dust), this research studies how different spatiotemporal resolutions of two input parameters (soil moisture and greenness vegetation fract...

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Detalles Bibliográficos
Autores principales: Yu, Manzhu, Yang, Chaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5147792/
https://www.ncbi.nlm.nih.gov/pubmed/27936136
http://dx.doi.org/10.1371/journal.pone.0165616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5147792/
https://www.ncbi.nlm.nih.gov/pubmed/27936136
http://dx.doi.org/10.1371/journal.pone.0165616

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