Publication Abstracts

Lin et al. 1998

Lin, B., B. Wielicki, P. Minnis, and W. Rossow, 1998: Estimation of water cloud properties from satellite microwave, infrared and visible measurements in oceanic environments: 1. Microwave brightness temperature simulations. J. Geophys. Res., 103, 3873-3886, doi:10.1029/97JD02816.

Theoretical calculations are used to examine the spectral characteristics of SSM/I (special sensor microwave/imager) brightness temperature (Tb) values for non-precipitating clouds over oceans. It was found that liquid water path (LWP) and the cloud water temperature (Tw) could be derived simultaneously with a technique using the SSM/I 37-GHz and 85-GHz brightness temperatures. Uncertainties in column water vapor (CWV) are the most important error sources in the estimation of LWP and Tw, while ice particles smaller than 100 µm in non-precipitating clouds have a very weak effect (< 1K) on the Tb values at the releveant SSM/I frequencies. When all SSM/I instrument noise and error sources associated with sea surface temperature, wind speed, and CWV are considered, the biases in LWP from current microwave methods are very small (≤ 0.01 mm) and the standard deviations vary from 0.02 to 0.04 mm. The Tw bias and standard deviation decrease with increasing LWP from about 6 and 8K, respectively, for clouds with low LWP to < 1K for LWP > 0.4 mm. For most marines stratocumulus clouds (LWP ∼ 0.1 to 0.2 mm) the Tw bias and standard deviation are about 2 and 4 K, respectively, resulting in cloud height errors of ∼ 1 to 2 km. The method should yield an improvement in the accuracy of retrieved LWP because it more closely approximates cloud temperature than previous techniques. To use the radiative transfer results, it is necessary to normalize or calibrate them to the observations. This relative calibration using 22-GHz brightness temperatures reveals differences of 2.86 K and -1.93 K for the 37-GHz horizontal and 85-GHz vertical channels, respectively, between the SSM/I obzervations and the model simulations. In multilayered cloud conditions, this new microwave analysis method, when combined with infrared data, should make it possible to determine cloud temperature for an upperlevel ice cloud from the infrared brightness temperatures while simultaneously deriving Tw and LWP for the lower liquid water cloud with the microwave data.

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BibTeX Citation

@article{li03000u,
  author={Lin, B. and Wielicki, B. and Minnis, P. and Rossow, W.},
  title={Estimation of water cloud properties from satellite microwave, infrared and visible measurements in oceanic environments: 1. Microwave brightness temperature simulations},
  year={1998},
  journal={J. Geophys. Res.},
  volume={103},
  pages={3873--3886},
  doi={10.1029/97JD02816},
}

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RIS Citation

TY  - JOUR
ID  - li03000u
AU  - Lin, B.
AU  - Wielicki, B.
AU  - Minnis, P.
AU  - Rossow, W.
PY  - 1998
TI  - Estimation of water cloud properties from satellite microwave, infrared and visible measurements in oceanic environments: 1. Microwave brightness temperature simulations
JA  - J. Geophys. Res.
VL  - 103
SP  - 3873
EP  - 3886
DO  - 10.1029/97JD02816
ER  -

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