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Comparison of AMSU Millimeter-Wave Satellite Observations, MM5/TBSCAT Predicted Radiances, and Electromagnetic Models for Hydrometeors
This paper addresses the consistency between histograms of millimeter-wave atmospheric radiances observed by satellite instruments and those predicted by a mesoscale numerical weather prediction model (MM5) in combination with a two-stream radiative transfer model (TBSCAT).
Hyperspectral Microwave Atmospheric Sounding
These analyses demonstrate that hyperspectral microwave operation using frequency multiplexing techniques substantially improves temperature and moisture profiling accuracy, particularly in atmospheres that challenge conventional nonhyperspectralMicrowave sounding systems because of high water vapor and cloud liquid water content.
NPOESS Precipitation Retrievals using the ATMS Passive Microwave Spectrometer
This paper evaluates the ability of the United States National Polar Orbiting Environmental Sensor System (NPOESS) Advanced Technology Microwave Sounder (ATMS) to retrieve surface precipitation rates
Evaluation of CMIP5 Global Climate Models for Simulating Climatological Temperature and Precipitation for Southeast Asia
This study evaluates the performances of all forty different global climate models (GCMs) that participate in the Coupled Model Intercomparison Project Phase 5 (CMIP5) for simulating climatological
Global Millimeter-Wave Precipitation Retrievals Trained With a Cloud-Resolving Numerical Weather Prediction Model, Part I: Retrieval Design
It is demonstrated that multiple scattering in high microwave albedo clouds may help explain the observed consistency for a global set of 122 storms between AMSU-observed 50-191-GHz brightness temperature distributions and corresponding distributions predicted using a cloud-resolving mesoscale NWP model (MM5) and a two-stream radiative transfer model that models icy hydrometeors as spheres with frequency-dependent densities.
Satellite Retrievals of Arctic and Equatorial Rain and Snowfall Rates Using Millimeter Wavelengths
A new global precipitation retrieval algorithm for the millimeter-wave Advanced Microwave Sounding Unit is presented that also retrieves Arctic precipitation rates over surface snow and ice. This
Global Millimeter-Wave Precipitation Retrievals Trained With A Cloud-Resolving Numerical Weather-Prediction Model, Part II: Performance Evaluation
Differences between these retrievals and those from the conically scanned Advanced Microwave Scanning Radiometer for the Earth Observing System instrument and an alternate NOAA AMSU algorithm are characterized.
Comparison of NOWRAD, AMSU, AMSR-E, TMI, and SSM/I surface precipitation rate Retrievals over the united states great plains
Comparisons of surface precipitation rates retrieved for the United States Great Plains during the summer of 2004 using the Advanced Microwave Sounding Unit (AMSU) and similar precipitation products produced by AMSR-E aboard the NASA Aqua satellite, SSM/I aboard the United United States DMSP F-13, -14, and -15 satellites, TMI aboard theNASA TRMM satellite, and a doppler radar product (NOWRAD) are compared.
A global Precipitation retrieval algorithm for Suomi NPP ATMS
This paper develops a precipitation retrieval algorithm for the Advanced Technology Microwave Sounder (ATMS) recently launched aboard the U.S. Suomi National Polar-orbiting Partnership (Suomi NPP) satellite that employs neural network estimators trained and evaluated using the validated global reference physical model NCEP/MM5/TBSCAT/F(λ).
Global Precipitation Retrievals Using the NOAA AMSU Millimeter-Wave Channels: Comparisons with Rain Gauges
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