Estimate of Radiosonde Dry Bias From Far‐Infrared Measurements on the Antarctic Plateau
| Autor: | Carlo Arosio, Tiziano Maestri, Rolando Rizzi |
|---|---|
| Přispěvatelé: | Rizzi, R., Maestri, T., Arosio, C. |
| Rok vydání: | 2018 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Ecology (disciplines) Soil Science Condensed Matter Physic Aquatic Science Oceanography Atmospheric sciences 01 natural sciences law.invention 010309 optics Far infrared Geochemistry and Petrology law 0103 physical sciences Aquatic science Earth and Planetary Sciences (miscellaneous) Physical and Theoretical Chemistry Geophysic dry bia Water Science and Technology 0105 earth and related environmental sciences Materials Chemistry2506 Metals and Alloy Polymers and Plastic Ecology Paleontology Forestry Geophysics Space and Planetary Science Earth-Surface Processe Radiosonde Environmental science water vapor continuum far infrared Antarctic plateau |
| Zdroj: | Journal of Geophysical Research: Atmospheres. 123:3205-3211 |
| ISSN: | 2169-8996 2169-897X |
| DOI: | 10.1002/2017jd027874 |
| Popis: | The experimental data set of downwelling radiance spectra measured at the ground in clear conditions during 2013 by a Far-Infrared Fourier Transform Spectrometer at Dome-C, Antarctica, presented in Rizzi et al. (2016, https://doi.org/10.1002/2016JD025341) is used to estimate the effect of solar heating of the radiosonde humidity sensor, called dry bias. The effect is quite evident comparing residuals for the austral summer and winter clear cases and can be modeled by an increase of the water vapor concentration at all levels by about 15%. Such an estimate has become possible only after a new version of the simulation code and spectroscopic data has become available, which has substantially improved the modeling of water vapor absorption in the far infrared. The negative yearly spectral bias reported in Rizzi et al. (2016, https://doi.org/10.1002/2016JD025341) is in fact greatly reduced when compared to the same measurement data set. |
| Databáze: | OpenAIRE |
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