Millimeter-Wave Precipitation Retrievals and Observed-versus-Simulated Radiance Distributions: Sensitivity to Assumptions

@article{Surussavadee2007MillimeterWavePR,
  title={Millimeter-Wave Precipitation Retrievals and Observed-versus-Simulated Radiance Distributions: Sensitivity to Assumptions},
  author={C. Surussavadee and D. Staelin},
  journal={Journal of the Atmospheric Sciences},
  year={2007},
  volume={64},
  pages={3808-3826}
}
Abstract Brightness temperature histograms observed at 50–191 GHz by the Advanced Microwave Sounding Unit (AMSU) on operational NOAA satellites are shown to be consistent with predictions made using a mesoscale NWP model [the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5)] and a radiative transfer model [TBSCAT/F(λ)] for a global set of 122 storms coincident with the AMSU observations. Observable discrepancies between the observed… Expand
Passive millimeter-wave retrieval of global precipitation utilizing satellites and a numerical weather prediction model
TLDR
The model’s predicted millimeter-wave atmospheric radiances were found to statistically agree with those observed by satellite instruments on the United States National Ocean and Atmospheric Administration NOAA-15, -16, and -17 satellites over 122 global representative storms. Expand
Global Millimeter-Wave Precipitation Retrievals Trained With a Cloud-Resolving Numerical Weather Prediction Model, Part I: Retrieval Design
TLDR
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. Expand
Global Observations of Precipitation Using Satellite Passive Millimeter-Wave Sensors
  • C. Surussavadee
  • Environmental Science, Computer Science
  • IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
  • 2008
TLDR
Developing and validating a global model that simulates ground-truth and predicts millimeter-wave radiances consistent with those coincidentally observed by AMSU aboard NOAA satellites and developing a series of precipitation retrieval algorithms, AMSU/MM5, where the latest version is able to estimate surface precipitation rates over snow-covered land and sea ice. Expand
Global satellite millimeter-wave precipitation retrievals trained with a cloud-resolving numerical weather prediction model
  • C. Surussavadee, D. Staelin
  • Environmental Science, Computer Science
  • 2007 IEEE International Geoscience and Remote Sensing Symposium
  • 2007
TLDR
This paper develops global retrieval algorithms for surface precipitation rate, peak vertical wind, and water-paths, for the Advanced Microwave Sounding Unit (AMSU) aboard the NOAA-15, -16, and -17 satellites, trained using numerical weather prediction model (MM5). Expand
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. ThisExpand
Global precipitation retrieval algorithm trained for SSMIS using a Numerical Weather Prediction Model: Design and evaluation
  • C. Surussavadee, D. Staelin
  • Environmental Science, Geography
  • 2010 IEEE International Geoscience and Remote Sensing Symposium
  • 2010
TLDR
A global precipitation retrieval algorithm for the Special Sensor Microwave Imager/Sounder (SSMIS) and employs neural networks trained with 122 global storms that spanned a year and was simulated using the fifth-generation National Center for Atmospheric Research/Penn State Mesoscale Model (MM5) and a radiative transfer program validated using AMSU observations. Expand
Global Millimeter-Wave Precipitation Retrievals Trained With A Cloud-Resolving Numerical Weather-Prediction Model, Part II: Performance Evaluation
TLDR
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. Expand
NPOESS Precipitation Retrievals Using the ATMS Passive Microwave Spectrometer
TLDR
Image sharpening of the ATMS Nyquist-sampled observations below 90 GHz further improves the recovery of small features but amplifies noise so that the benefits are restricted primarily to finely structured convective systems. Expand
Precipitation Retrieval Accuracies for Geo-Microwave Sounders
TLDR
Several instruments show considerable promise in retrieving hydrometeor water paths and 15-min average precipitation rates ~1-100 mm/h with spatial resolutions that vary from ~15 to ~50 km, potentially adequate to support assimilation of precipitation information into cloud-resolving numerical weather prediction models. Expand
Precipitation Retrieval Accuracies for
Only instruments on geostationary or comparable platforms can view global precipitation at the ∼15-min inter- val that is necessary to monitor rapidly evolving convective events. This paper comparesExpand
...
1
2
3
4
...

References

SHOWING 1-10 OF 43 REFERENCES
Comparison of AMSU Millimeter-Wave Satellite Observations, MM5/TBSCAT Predicted Radiances, and Electromagnetic Models for Hydrometeors
TLDR
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). Expand
Intercomparison of microwave radiative transfer models for precipitating clouds
An intercomparison of microwave multiple scattering radiative transfer codes used in generating databases for satellite rainfall retrieval algorithms has been carried out to ensure that differencesExpand
Microwave land emissivity calculations using AMSU measurements
TLDR
The obtained AMSU emissivities are in good agreement with the previously derived SSMI ones, and possible extrapolation of the emissivity from window channels to sounding ones has been successfully tested. Expand
Modeling uncertainties for passive microwave precipitation retrieval: evaluation of a case study
TLDR
The provided results should not be considered an exhaustive evaluation of cloud-radiation modeling errors, but may be considered a valuable starting point for error characterization, since extensions to larger databases could definitely improve modeling error budgets. Expand
Fast generic millimeter-wave emissivity model
In recent year san increasingly diverse range of passive microwave satellite data has become available for applications in numerical weather forecasting, climate studies and environmental monitoring.Expand
NPOESS aircraft sounder testbed-microwave: observations of clouds and precipitation at 54, 118, 183, and 425 GHz
  • R. Leslie, D. Staelin
  • Environmental Science, Computer Science
  • IEEE Transactions on Geoscience and Remote Sensing
  • 2004
TLDR
The potential performance of NAST-M is demonstrated, by presenting radiance images and precipitation rate and cell-top retrievals obtained during overflights of isolated convective storm cells, and by comparing these results with coincident visible images. Expand
Hydrometeor Retrieval Accuracy Using Microwave Window and Sounding Channel Observations
Abstract The retrieval errors of cloud and precipitation hydrometeor contents from spaceborne observations are estimated at microwave frequencies in atmospheric windows between 18 and 150 GHz and inExpand
Statistical precipitation cell parameter estimation using passive 118-GHz O2 observations
The use of passive 118-GHz O2 observations of rain cells for precipitation parameter estimation is demonstrated by a nonlinear statistical cell top altitude retrieval operator. The retrieval operatorExpand
AIRS/AMSU/HSB precipitation estimates
  • F. Chen, D. Staelin
  • Environmental Science, Computer Science
  • IEEE Trans. Geosci. Remote. Sens.
  • 2003
TLDR
The precipitation-rate estimation method presented is based on the opaque-channel approach described by Staelin and Chen (2000), but it utilizes more channels and training data and infers 54-GHz band radiance perturbations at 15-km resolution and the dynamic range now reaches 100 mm/h. Expand
NOAA operational hydrological products derived from the advanced microwave sounding unit
  • R. Ferraro, F. Weng, +6 authors C. Dean
  • Mathematics, Computer Science
  • IEEE Transactions on Geoscience and Remote Sensing
  • 2005
TLDR
A new suite of products that are generated through the Microwave Surface and Precipitation Products System (MSPPS) includes precipitation rate, total precipitable water, land surface emissivity, and snow cover, which demonstrate their importance to weather forecasting and analysis, and climate monitoring. Expand
...
1
2
3
4
5
...