Development of Limb-Scattering Radiative Transfer Models for Mars Remote Sensing and Data Assimilation

Details Development of Limb-Scattering Radiative Transfer Models for Mars Remote Sensing and Data Assimilation Development of Limb-Scattering Radiative Transfer Models for Mars Remote Sensing and Data Assimilation

Sep 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009dps....41.5404e&link_type=abstract

American Astronomical Society, DPS meeting #41, #54.04

Statistics

Computation

Scientific paper

We have commenced the development of efficient and accurate radiative transfer models for scattering and gaseous absorption in a spherical atmosphere, through a combination of the Gauss-Seidel Spherical Radiative Transfer (GSSRTM) and the Optimal Spectral Sampling (OSS) models. The combined models will be made available to the research community for use in validation, retrievals, and data assimilation from limb-sounding instruments, particularly the Mars Climate Sounder and future instruments for Mars and other planets. This work is very timely, as new instrument concepts will emerge from the ongoing NRC Decadal Survey.
The traditional way of training an OSS model (e.g., for a down-looking configuration in the thermal regime) is directly in radiances. Radiance training allows for taking into account variations across wide spectral bands (e.g., the Planck function, cloud/aerosol optical properties, surface properties) in the OSS node selection and weights calculation. However, the GSSRTM model is slow when run at line-by-line resolution. Consequently, we are investigating training a first-step OSS model (at 1 cm-1 resolution) to fit transmittances (rather than radiances) computed for a broad range of atmospheric paths (including horizontal paths through selected layers). In a second step, we will compute limb band radiances from the monochromatic radiances calculated using the GSSRTM model only at the nodes selected in the first step and train an OSS model for the final configuration to fit these band radiances. With the new intermediate transmittance training step, we anticipate a gain on the order of 100 in computational time compared to the brute-force radiance training, which will make the overall model development much more manageable.
This work is supported by the NASA Mars Fundamental Research Program.

Affiliated with

Also associated with

No associations

Rating

Development of Limb-Scattering Radiative Transfer Models for Mars Remote Sensing and Data Assimilation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Development of Limb-Scattering Radiative Transfer Models for Mars Remote Sensing and Data Assimilation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Development of Limb-Scattering Radiative Transfer Models for Mars Remote Sensing and Data Assimilation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1333710