Publication Abstracts

Mace et al. 2013

Mace, G.G., D.O. Starr, R. Marchand, S.A. Ackerman, S.E. Platnick, A. Fridlind, S. Cooper, D.G. Vane, and G.L. Stephens, 2013: Contemplating synergistic algorithms for the NASA ACE Mission. In Remote Sensing of Clouds and the Atmosphere XVIII and Optics in Atmospheric Propagation and Adaptive Systems XVI, 23-26 Sep. 2013, Dresden, Germany. A. Comeron, E.I. Kassianov, K. Schäfer, K. Stein, and J.D. Gonglewski, Eds., Proc. SPIE, vol. 8890, doi:10.1117/12.2030206.

ACE is a proposed Tier 2 NASA Decadal Survey mission that will focus on clouds, aerosols, and precipitation as well as ocean ecosystems. The primary objective of the clouds component of this mission is to advance our ability to predict changes to the Earth's hydrological cycle and energy balance in response to climate forcings by generating observational constraints on future science questions, especially those associated with the effects of aerosol on clouds and precipitation. ACE will continue and extend the measurement heritage that began with the A-Train and that will continue through Earthcare. ACE planning efforts have identified several data streams that can contribute significantly to characterizing the properties of clouds and precipitation and the physical processes that force these properties. These include dual frequency Doppler radar, high spectral resolution lidar, polarimetric visible imagers, passive microwave and submillimeter wave radiometry. While all these data streams are technologically feasible, their total cost is substantial and likely prohibitive. It is, therefore, necessary to critically evaluate their contributions to the ACE science goals. We have begun developing algorithms to explore this trade space. Specifically, we will describe our early exploratory algorithms that take as input the set of potential ACE-like data streams and evaluate critically to what extent each data stream influences the error in a specific cloud quantity retrieval.

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BibTeX Citation

@inproceedings{ma03900b,
  author={Mace, G. G. and Starr, D. O. and Marchand, R. and Ackerman, S. A. and Platnick, S. E. and Fridlind, A. and Cooper, S. and Vane, D. G. and Stephens, G. L.},
  editor={Comeron, A. and Kassianov, E. I. and Schäfer, K. and Stein, K. and Gonglewski, J. D.},
  title={Contemplating synergistic algorithms for the NASA ACE Mission},
  booktitle={Remote Sensing of Clouds and the Atmosphere XVIII and Optics in Atmospheric Propagation and Adaptive Systems XVI, 23-26 Sep. 2013, Dresden, Germany},
  year={2013},
  volume={8890},
  series={Proc. SPIE},
  doi={10.1117/12.2030206},
}

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RIS Citation

TY  - CPAPER
ID  - ma03900b
AU  - Mace, G. G.
AU  - Starr, D. O.
AU  - Marchand, R.
AU  - Ackerman, S. A.
AU  - Platnick, S. E.
AU  - Fridlind, A.
AU  - Cooper, S.
AU  - Vane, D. G.
AU  - Stephens, G. L.
ED  - Comeron, A.
ED  - Kassianov, E. I.
ED  - Schäfer, K.
ED  - Stein, K.
ED  - Gonglewski, J. D.
PY  - 2013
TI  - Contemplating synergistic algorithms for the NASA ACE Mission
BT  - Remote Sensing of Clouds and the Atmosphere XVIII and Optics in Atmospheric Propagation and Adaptive Systems XVI, 23-26 Sep. 2013, Dresden, Germany
T3  - Proc. SPIE
VL  - 8890
DO  - 10.1117/12.2030206
ER  -

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