نتایج جستجو برای: ماهواره noaa

تعداد نتایج: 8359  

1997
Charles S. Morris

Two sources of H113 estimates were available at Platform Harvest; a NOAA buoy and CU depth sensor highrate data. H113 estimates from the NOAA buoy were based on twenty minutes of data every hour, CU pressure measurements were taken every 1.1 seconds. For purposes of this paper, H113 estimates from the (7U depth sensor were based on one hour of data, This paper compares H113 measurements from TO...

2017

Glenn Research Center, Cleveland, Ohio Robert Anderson Glenn Research Center, Cleveland, Ohio Dulcinea Avouris Kent State University, Kent, Ohio Richard Becker University of Toledo, Toledo, Ohio James Churnside NOAA Earth System Research Lab, Boulder, Colorado Michael Cline University of Toledo, Toledo, Ohio James Demers Glenn Research Center, Cleveland, Ohio George Leshkevich NOAA Great Lakes ...

Journal: :IEEE Trans. Geoscience and Remote Sensing 1997
Jothiram Vivekanandan Li Li Leung Tsang Chi Hou Chan

A neural network-based retrieval technique is developed to infer vapor, liquid. and ice columns using twoand threechannel microwave radiometers. Neural network-based inverse scattering methods are capable of merging various data streams in order to retrieve microphysical properties of clouds and precipitation. The method is calibrated using National Oceanic and Atmospheric Administration (NOAA)...

2010
S.-A. Boukabara F. Iturbide-Sanchez K. Garrett W. Chen C. Grassotti

This study presents the results of a microwave-based algorithm which attempts to perform the retrieval of hydrometeor parameters in a profile form. The hydrometeors in question are both phases of the precipitating rain (liquid and frozen). The algorithm is called the Microwave Integrated Retrieval System (MiRS) which uses microwave radiances from AMSU and MHS sensors onboard NOAA-18, NOAA-19, M...

2010
CHINNAWAT SURUSSAVADEE DAVID H. STAELIN

A surface-precipitation-rate retrieval algorithm for 13-channel Advanced Microwave Sounding Unit (AMSU) millimeter-wave spectral observations from 23 to 191 GHz is described. It was trained using cloudresolving fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) simulations over 106 global storms. The resulting retrievals from the U.S. N...

1998
S Allen Macklin

NOTICE Mention of a commercial company or product does not constitute an endorsement by NOAA/ERL. Use of information from this publication concerning proprietary products or the tests of such products for publicity or advertising purposes is not authorized.

Journal: :Journal of Geophysical Research 2005

2008
William J. Randel Keith P. Shine John Austin John Barnett Chantal Claud Nathan P. Gillett Philippe Keckhut Ulrike Langematz Roger Lin Craig Long Carl Mears Alvin Miller John Nash Dian J. Seidel David W. J. Thompson Fei Wu Shigeo Yoden

1 National Center for Atmospheric Research, Boulder, CO 80307 12 2 Department of Meteorology, University of Reading, Earley Gate, Reading RG6 6BB, 13 UK 14 3 NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08542 15 4 Department of Atmospheric, Oceanic and Planetary Physics, Oxford University, Oxford 16 OX1 3PU UK 17 5 Laboratoire de Météorologie Dynamique/IPSL, CNRS, Ecole Polytechniq...

2017

Glenn Research Center, Cleveland, Ohio Robert Anderson Glenn Research Center, Cleveland, Ohio Dulcinea Avouris Kent State University, Kent, Ohio Richard Becker University of Toledo, Toledo, Ohio James Churnside NOAA Earth System Research Lab, Boulder, Colorado Michael Cline University of Toledo, Toledo, Ohio James Demers Glenn Research Center, Cleveland, Ohio George Leshkevich NOAA Great Lakes ...

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