Comparison of AMSU Millimeter-Wave Satellite Observations, MM5/TBSCAT Predicted Radiances, and Electromagnetic Models for Hydrometeors

This paper addresses the following: 1) millimeter-wave scattering by icy hydrometeors and 2) the consistency between histograms of millimeter-wave atmospheric radiances observed by satellite instruments [Advanced Microwave Sounding Unit-A/B (AMSU-A/B)] and those predicted by a mesoscale numerical weather prediction (NWP) model (MM5) in combination with a two-stream radiative transfer model (TBSCAT). This observed consistency at 15-km resolution supports use of MM5/TBSCAT as a useful simulation tool for designing and assessing global millimeter-wave systems for remote sensing of precipitation and related parameters at 50-200 GHz. MM5 was initialized by National Center for Environmental Prediction NWP analyses on a 1deg grid approximately 5 h prior to each AMSU transit and employed the Goddard explicit cloud physics model. The scattering behavior of icy hydrometeors, including snow and graupel, was assumed to be that of spheres having an ice density F(lambda) and the same average Mie scattering cross sections as computed using a discrete-dipole approximation implemented by DDSCAT for hexagonal plates and six-pointed rosettes, respectively, which have typical dimensional ratios observed aloft. No tuning beyond the stated assumptions was employed. The validity of these approximations was tested by varying F(lambda) for snow and graupel so as to minimize discrepancies between AMSU and MM5/TBSCAT radiance histograms over 122 global storms. Differences between these two independent determinations of F(lambda) were less than ~0.1 for both snow and graupel. Histograms of radiances for AMSU and MM5/TBSCAT generally agree for 122 global storms and for subsets of convective, stratiform, snowy, and nonglaciated precipitation

[1]  R. Rasmussen,et al.  Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model , 1998 .

[2]  Tim J. Hewison,et al.  Fast generic millimeter-wave emissivity model , 1998, Asia-Pacific Environmental Remote Sensing.

[3]  Andrew J. Heymsfield,et al.  Ice crystal terminal velocities. , 1972 .

[4]  Fuzhong Weng,et al.  Retrieval of Ice Cloud Parameters Using the Advanced Microwave Sounding Unit , 2002 .

[5]  Eric A. Smith,et al.  Intercomparison of microwave radiative transfer models for precipitating clouds , 2002, IEEE Trans. Geosci. Remote. Sens..

[6]  Joanne Simpson,et al.  Goddard Cumulus Ensemble Model. Part I: Model Description , 1993 .

[7]  T.,et al.  Training Feedforward Networks with the Marquardt Algorithm , 2004 .

[8]  Charles Cohen,et al.  A Comparison of Cumulus Parameterizations in Idealized Sea-Breeze Simulations , 2002 .

[9]  G. Hufford,et al.  A model for the complex permittivity of ice at frequencies below 1 THz , 1991 .

[10]  Philip W. Rosenkranz,et al.  Radiative transfer solution using initial values in a scattering and absorbing atmosphere with surface reflection , 2002, IEEE Trans. Geosci. Remote. Sens..

[11]  H. Pan,et al.  Nonlocal Boundary Layer Vertical Diffusion in a Medium-Range Forecast Model , 1996 .

[12]  A. Shivola Self-consistency aspects of dielectric mixing theories , 1989 .

[13]  T. Mo,et al.  Prelaunch calibration of the advanced microwave sounding unit-A for NOAA-K , 1995 .

[14]  Guosheng Liu,et al.  Approximation of Single Scattering Properties of Ice and Snow Particles for High Microwave Frequencies , 2004 .

[15]  Catherine Prigent,et al.  Microwave land emissivity calculations using AMSU measurements , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Peter V. Hobbs,et al.  The dimensions and aggregation of ice crystals in natural clouds , 1974 .

[17]  Albin J. Gasiewski,et al.  A fast multistream scattering-based Jacobian for microwave radiance assimilation , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Philip W. Rosenkranz,et al.  Retrieval of temperature and moisture profiles from AMSU-A and AMSU-B measurements , 2001, IEEE Trans. Geosci. Remote. Sens..

[19]  Tim J. Hewison,et al.  Radiometric characterization of AMSU-B , 1995 .

[20]  Paul Schultz,et al.  An explicit cloud physics parameterization for operational numerical weather prediction , 1995 .

[21]  P. Rosenkranz Water vapor microwave continuum absorption: A comparison of measurements and models , 1998 .

[22]  IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 34. NO. 4, JULY 1996 Universal Multifractal Scaling of Synthetic , 1996 .

[23]  David H. Staelin,et al.  AIRS/AMSU/HSB precipitation estimates , 2003, IEEE Trans. Geosci. Remote. Sens..

[24]  John S. Kain,et al.  The Kain–Fritsch Convective Parameterization: An Update , 2004 .

[25]  Philip W. Rosenkranz,et al.  Atmospheric 60-GHz oxygen spectrum : new laboratory measurements and line parameters , 1992 .

[26]  David H. Staelin,et al.  Millimeter-Wave Precipitation Observations versus Simulations: Sensitivity to Assumptions , 2022 .

[27]  Norman C. Grody,et al.  Anomalous microwave spectra of snow cover observed from Special Sensor Microwave/Imager measurements , 2000 .

[28]  H. D. Orville,et al.  Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .

[29]  T. Manabe,et al.  A model for the complex permittivity of water at frequencies below 1 THz , 1991 .

[30]  Ari Henrik Sihvola,et al.  Analysis of a three-dimensional dielectric mixture with finite difference method , 2001, IEEE Trans. Geosci. Remote. Sens..

[31]  F. Marzano,et al.  Combined cloud-microwave radiative transfer modeling of stratiform rainfall , 2000 .

[32]  J. L. Schols,et al.  Microwave Properties of Frozen Precipitation around a North Atlantic Cyclone , 1999 .

[33]  Bernard Widrow,et al.  Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights , 1990, 1990 IJCNN International Joint Conference on Neural Networks.