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A physical model to estimate snowfall over land using AMSU-B observations

Author
KIM, Min-Jeong1 2 ; WEINMAN, J. A3 ; OLSON, W. S4 5 ; CHANG, D.-E6 ; SKOFRONICK-JACKSON, G5 ; WANG, J. R5
[1] Center for Satellite Applications and Research, NESDIS, NOAA, Camp Springs, Maryland, United States
[2] Cooperative Institute of Research in Atmospheric Sciences, Colorado State University, Fort Collins, Colorado, United States
[3] Department of Atmospheric Sciences, University of Washington, Seattle, Washington, United States
[4] Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, Maryland, United States
[5] NASA Goddard Space Flight Center, Greenbelt, Maryland, United States
[6] Forecast Research Laboratory, Meteorological Research Institute, Seoul, Korea, Republic of
Source

Journal of geophysical research. 2008, Vol 113, Num D9 ; D09201.1-D09201.16 ; ref : 1 p

ISSN
0148-0227
Scientific domain
Astronomy earth cosmic environment; Geology; Geophysics; Climatology, meteorology; Oceanography
Publisher
American Geophysical Union, Washington, DC
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Algorithme extraction Approximation dipolaire Base de données Blizzard Distribution dimension particule Enneigement Flocon neige Forme sphérique Fréquence Humidité relative Hydrométéore Hyperfréquence Modèle particule Modèle physique Méthode radar NOAA Neige Observation par avion Optimisation Paramètre s Particule Pression Simulation Température atmosphérique Température brillance Marches New Hampshire New York Nouvelle Angleterre Vermont Amérique du Nord Etats Unis Europe Sud Europe Italie
Keyword (en)
Retrieval algorithm Dipole approximation data bases Blizzard Particle size distribution Snowfall Snowflake Spherical shape frequency Relative humidity Hydrometeor microwaves Particle models physical models radar methods NOAA snow Aircraft observation optimization s parameter particles pressure simulation Atmospheric temperature brightness temperature Marches Italy New Hampshire New York New England Vermont North America United States Southern Europe Europe Italy
Keyword (es)
Algoritmo extracción Aproximación dipolar Base dato Blizzard Distribución dimensión partícula Estado nieve Copo nieve Forma esférica Frecuencia Humedad relativa Hidrometeoro Modelo físico Radar Nieve Observación por avión Optimización Parámetro s Presión Simulación Temperatura atmosférica Marcas New Hampshire Nueva York Nueva Inglaterra Vermont America del norte Estados Unidos Europa Sur Europa Italia
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20398347

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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