ARM Radiative Transfer Modeling and Remote Sensing
| Clough, Shepard | Atmospheric and Environmental Research |
| Shephard, Mark | Atmospheric and Environmental Research, Inc. |
| Mlawer, Eli | Atmospheric & Environmental Research, Inc. |
| Delamere, Jennifer | Atmospheric and Environmental Research, Inc. |
| Cady-Pereira, Karen | Atmospheric and Environmental Research, Inc. |
| Tobin, David | University of Wisconsin-Madison |
| Revercomb, Henry | University Of Wisconsin-Madison |
| Knuteson, Robert | University Of Wisconsin |
| Turner, David | Pacific Northwest National Laboratory |
AER continues to maintain and improve its radiative transfer models in order to provide the ARM community with models that are in the forefront of current radiative transfer modeling (Clough et al, 2005). One focus of our efforts has been the improvement of our line-by-line modeling capability, including spectroscopic line parameters, driven by the increased demands on the accuracy of the atmospheric radiative transfer calculations used directly or indirectly in the retrievals of atmospheric constituents (e.g. ozone). For retrievals from the present generation of passive remote sensing instruments (e.g. AERI, SHIS, AIRS, MIPAS, TES), all with impressive signal-to-noise ratios, the accuracy of the forward model is critically important since the retrieval method depends on the minimization of the variance between measured spectral radiances and forward model calculations. To this end, AER provides the Line-by-Line Radiative Transfer Model (LBLRTM) together with Spectroscopic Line Parameters (aer_v1.1) (www.rtweb.aer.com), which are continually validated using spectral radiance measurements. Presented in this poster are line-by-line validations using downwelling and upwelling radiance measurements from recent AERI, S-HIS, and AIRS measurements. As an example, the AIRS case study shows an inconsistency in the strengths of the spectroscopic line parameters in the v2 (680-800 cm-1) and v3 (2150-2450 cm-1) CO2 spectral regions, which may have important implications for the passive remote sensing of the temperature field. In addition to the forward model validations, we will also show some preliminary ARM tropospheric ozone retrievals using ARM radiosonde and AERI downwelling radiance observations. Clough SA, Shephard MW, Mlawer EJ, Delamere JS, Iacono MJ, Cady-Pereira K, Boukabara S, Brown PD. Atmospheric Radiative Transfer Modeling: a Summary of the AER Codes. J Quant Spectrosc Radiat Transfer, 2005;91:233-44.
This poster will be displayed at the ARM Science Team Meeting.