Characterization and simulation of a ground-based millimeter wave observation system for Arctic atmospheric research. (January 2015)

• Record Type: Journal Article
• Authors: Ryan, Niall J.; Walker, Kaley A.
• Is Part Of: Journal of quantitative spectroscopy & radiative transfer. Volume 151(2015:Jan.)
• Page Start: 26
• Page End: 37
• Publication Date: 2015-01
• Subjects: Millimeter wave radiometer -- Retrieval simulation -- Optimal estimation method -- Observation system simulation experiment -- Arctic atmosphere -- PEARL, Eureka, Nunavut; Spectrum analysis -- Periodicals; Radiation -- Periodicals; Analyse spectrale -- Périodiques; Rayonnement -- Périodiques; Radiation; Spectrum analysis; Periodicals; 543.0858
• DOI: 10.1016/j.jqsrt.2014.09.010
• Languages: English
• ISSNs: 0022-4073

Abstract

Abstract: A preparatory performance and error characterization was carried out for a ground-based millimeter wave instrument designed for high Arctic atmospheric research. The instrument is a radiometer to measure rotational emission spectra of O3, ClO, HNO3, and N2 O, between 265 and 280 GHz, using a sensitive superconductor–insulator–superconductor detector. Forward and inverse modeling tests have been performed to assess the instrument/inversion system and to determine the sources of the most significant errors in the retrieval of each trace gas. The altitude ranges over which retrievals of concentrations can be made were found to be ~13–62 km for O3, ~12.5–39 km for N2 O, ~12–36 km for HNO3, and ~18–46 km for ClO. For each target species the measurement and smoothing errors calculated with an optimal estimation method (OEM) were compared to the errors calculated from inversions of 500 simulated spectra. The absolute error from these inversions agreed well the OEM results, but there were systematic differences that are attributed to nonlinearities in the forward model. The results of these nonlinearities can cause biases of the order of 5–10% of the a priori profile if they are not accounted for when averaging concentration profiles or when analyzing trends in concentration. The techniques used here can be applied to any ground-based remote sounder. Highlights: We simulate the performance of a ground-based, SIS radiometer (265–280 GHz). Error contributions to retrieved profiles of O3, ClO, N2 O, and HNO3 were estimated. We determine altitude ranges over which each species can be detected and retrieved. OSSEs compare well with an OEM characterization of the inversion. Nonlinearity of the forward model can cause biases in averaged retrieved profiles.