Multivariate Retrieval of Carbon Monoxide
This item is restricted to only allow viewing of the metadata.
Title
Multivariate Retrieval of Carbon Monoxide
Author
Wilson , Robert Christopher
Advisors
Hoff , Raymond M ;
Program
Physics, Atmospheric
UMBC Department
Physics
Document Type
dissertation
Sponsors
University of Maryland , Baltimore County (UMBC)
Keywords
AERI ; AIRS ; Carbon Monoxide ; Data Fusion ; Error Analysis ; Retrieval
Date Issued
2011-01-01
Abstract
A new technique is presented here to retrieve carbon monoxide (CO) profiles from Atmospheric Emitted Radiance Interferometer (AERI) spectra . This retrieval version deviates from the previous AERI CO retrieval method , which utilized signal processing to determine a constant CO mixing ratio representative of the entire troposphere . Instead , this retrieval version utilizes linear mapping to ascertain an estimate of the CO profile . A detailed analysis is conducted to estimate the error from all aspects of the linear mapping procedure including measurements , forward modeling of atmospheric radiation , and uncertainty from inputs to the forward model . It was found that the dominant sources of error were from cloud contaminated spectra and uncertainty in absorption line strengths inside the forward model . A new cloud flagging technique that uses a neural network to identify spectra affected by clouds was tested and compared to the previously used version based on brightness temperature contrast . The neural network method decreased uncertainty between AERI and forward model spectra by 30 percent when compared with the previously used version . First guess CO profiles to the AERI retrieval were from two different sources . One source was an <italic>a priori<</> CO profile calculated as the mean profile from 57 individual measurements where each CO profile encompasses tower , aircraft , and a satellite CO measurement . The other first guess CO profile came from the AIRS version 5 (AIRSv5) retrieved CO product . Incorporating the AIRS CO profile to the AERI retrieval provided a better estimate of free tropospheric CO when compared with the <italic>a priori<</> profile . Using a better upper tropospheric CO estimate resulted in more accurate results from the AERI retrieval below 2 km , thus revealing that an AERI plus AIRS retrieved CO product is superior to either instrument's own CO retrieval working alone . The combined retrieval product is shown to have an RMSE of 10% in the first 2 km of the atmosphere .
Identifier
10598
Format
application:pdf
Language
en
Collection
UMBC Theses and Dissertations .
Rights Statement
This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://library.umbc.edu/speccoll/rightsreproductions.php or contact Special Collections at speccoll(at)umbc.edu.
Source
Wilson_umbc_0434D_10598.pdf
Access Rights
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.
Add tags for Multivariate Retrieval of Carbon Monoxide
you wish to report:
Your comment:
Your Name:
...