Observations of downwelling far-infrared emission at Table Mountain California made by the FIRST instrument

Mlynczak, Martin G.; Cageao, R. P.; Mast, J. C.; Kratz, David P.; Latvakoski, Harri; Johnson, David G.

doi:10.1016/j.jqsrt.2015.10.017

Cited by 17 publications

(21 citation statements)

References 23 publications

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“…The simulations employ LBLRTM version 12.2, the MT‐CKD version 2.5.2, and the AER line database version 3.0. The authors state that results obtained confirm what is already found in Mlynczak et al () that the FIR can be more accurately measured than modeled. They also state that a better “agreement between measured and modeled radiances can be achieved by either increasing the modeled continuum absorption or increasing the water vapor concentration profile input into the LBLRTM.…”

Section: Introductionsupporting

confidence: 85%

Estimate of Radiosonde Dry Bias From Far‐Infrared Measurements on the Antarctic Plateau

2018

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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.

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Section: Introductionsupporting

confidence: 85%

Estimate of Radiosonde Dry Bias From Far‐Infrared Measurements on the Antarctic Plateau

2018

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“…However, such measurements can hardly be used for model improvement. As pointed out by Mlynczak et al (2016), the inherent uncertainties related to the atmospheric measure- Brightness temperature ( Figure 7. Measured and simulated spectral brightness temperatures at the two altitudes where Polar 6 levelled during 11 April flight.…”

Section: Aprilmentioning

confidence: 93%

“…In fact, the air transmittance in this channel is so low that a significant part of the signal comes from the air contained in the 56 cm long chimney just below the instrument rather than from the atmosphere below. This artifact was noticed by Mlynczak et al (2016). Using their correction (Eq.…”

Section: And 21 Aprilmentioning

confidence: 99%

“…The Far-InfraRed Spectroscopy of the Troposphere (FIRST; Mlynczak et al, 2006) and the Radiation Explorer in the Far-InfraRed -Prototype for Applications and Development (REFIR-PAD; Palchetti et al, 2006) were developed within the framework of the satellite projects Climate Absolute Radiance and Refractivity Observatory (CLARREO; Wielicki et al, 2013) and REFIR (Palchetti et al, 1999), respectively. These instruments primarily aim at better constraining the radiative budget of the atmosphere and have been operated from gondola and from the ground (Bianchini et al, 2011;Mlynczak et al, 2016). The Tropospheric Airborne Fourier Transform Spectrometer (TAFTS; Canas et al, 1997) has been used to explore the radiative properties of water vapour (Green et al, 2012;Fox et al, 2015) and to investigate the radiative properties of cirrus clouds (Cox et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Airborne observations of far-infrared upwelling radiance in the Arctic

Libois¹,

Ivanescu

Blanchet³

et al. 2016

Atmos. Chem. Phys.

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Abstract. The first airborne measurements of the FarInfraRed Radiometer (FIRR) were performed in April 2015 during the panarctic NETCARE campaign. Vertical profiles of spectral upwelling radiance in the range 8-50 µm were measured in clear and cloudy conditions from the surface up to 6 km. The clear sky profiles highlight the strong dependence of radiative fluxes to the temperature inversion typical of the Arctic. Measurements acquired for total column water vapour from 1.5 to 10.5 mm also underline the sensitivity of the far-infrared greenhouse effect to specific humidity. The cloudy cases show that optically thin ice clouds increase the cooling rate of the atmosphere, making them important pieces of the Arctic energy balance. One such cloud exhibited a very complex spatial structure, characterized by large horizontal heterogeneities at the kilometre scale. This emphasizes the difficulty of obtaining representative cloud observations with airborne measurements but also points out how challenging it is to model polar clouds radiative effects. These radiance measurements were successfully compared to simulations, suggesting that state-of-the-art radiative transfer models are suited to study the cold and dry Arctic atmosphere. Although FIRR in situ performances compare well to its laboratory performances, complementary simulations show that upgrading the FIRR radiometric resolution would greatly increase its sensitivity to atmospheric and cloud properties. Improved instrument temperature stability in flight and expected technological progress should help meet this objective. The campaign overall highlights the potential for airborne far-infrared radiometry and constitutes a relevant reference for future similar studies dedicated to the Arctic and for the development of spaceborne instruments.

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“…In this sense it is very similar to the Mars Climate Sounder (McCleese et al, 2007) and the Diviner Lunar Radiometer Experiment (Paige et al, 2010), which use uncooled thermal sensors to probe radiation in the FIR. The FIRR sensor is a 2-D array of uncooled microbolometers coated with gold black (Ngo Phong et al, 2015), and radiometric calibration is achieved with two reference blackbodies (BB) at distinct temperatures. The latter consist of cavities whose temperature and emissivity are well known, so that the radiance they emit is accurately estimated.…”

Section: The Far-infrared Radiometermentioning

confidence: 99%

Response to reviewer #2

Libois¹

2016

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Observations of downwelling far-infrared emission at Table Mountain California made by the FIRST instrument

Cited by 17 publications

References 23 publications

Estimate of Radiosonde Dry Bias From Far‐Infrared Measurements on the Antarctic Plateau

Estimate of Radiosonde Dry Bias From Far‐Infrared Measurements on the Antarctic Plateau

Airborne observations of far-infrared upwelling radiance in the Arctic

Response to reviewer #2

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