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

Rizzi, Rolando; Maestri, Tiziano; Arosio, Carlo

doi:10.1002/2017jd027874

Cited by 8 publications

(9 citation statements)

References 21 publications

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“…When used in a validation exercise with FIRST measurements, which is an independent measurement data set from RHUBC-II, the derived spectroscopic parameters result in significantly improved residuals. A subsequent study by Rizzi et al (2018) confirmed, based on an analysis of a separate observational data set collected by the REFIR-PAD in Antarctica, that the new spectroscopic parameters…”

Section: Summary and Discussionmentioning

confidence: 72%

“…When used in a validation exercise with FIRST measurements, which is an independent measurement data set from RHUBC‐II, the derived spectroscopic parameters result in significantly improved residuals. A subsequent study by Rizzi et al () confirmed, based on an analysis of a separate observational data set collected by the REFIR‐PAD in Antarctica, that the new spectroscopic parameters “substantially improved the modeling of water vapor absorption in the far‐infrared.” The improved spectroscopy results in significant modifications to computed values of thermal fluxes and heating rates (Figures and ) that are likely to impact climate simulations by GCMs.…”

Section: Summary and Discussionmentioning

confidence: 88%

“…Following the recent release of MT_CKD_3.0 and the linefile AER_v_3.5, Rizzi et al () demonstrated excellent closure between LBLRTM calculations that used these parameters and REFIR‐PAD measurements from Dome‐C in Antarctica, demonstrating a significant improvement in radiative closure compared to the previous version of LBLRTM. That the Rizzi et al () study was performed on observations taken in an environment characterized by greatly different pressure and temperature profiles than encountered in RHUBC‐II provides some confidence in the applicability of the spectroscopic parameters determined in the current study.…”

Section: Measurement‐calculation Comparisonsmentioning

confidence: 99%

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Analysis of Water Vapor Absorption in the Far‐Infrared and Submillimeter Regions Using Surface Radiometric Measurements From Extremely Dry Locations

et al. 2019

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The second Radiative Heating in Underexplored Bands Campaign (RHUBC‐II) was conducted in 2009 by the U.S. Department of Energy Atmospheric Radiation Measurement program to improve water vapor spectroscopy in the far‐infrared spectral region. RHUBC‐II was located in an extremely dry region of Chile to ensure very low opacities in this spectral region. Spectrally resolved measurements by a far‐infrared spectrometer and a submillimeter interferometer from RHUBC‐II are compared with line‐by‐line radiative transfer model calculations. Water vapor amounts and temperatures used in the calculations come from collocated radiosondes, with extensive adjustments to correct for issues due to the campaign's dry conditions and mountainous terrain. A reanalysis is also performed of far‐infrared measurements taken at the Atmospheric Radiation Measurement North Slope of Alaska site before and during the first RHUBC campaign. These analyses determine that differences between the measurements and model calculations using existing spectroscopic parameters are significant in the far‐infrared and submillimeter regions, leading to the derivation of improved water vapor continuum absorption coefficients and air‐broadened widths of 74 water vapor lines. The foreign continuum is increased by more than 50% in part of the far‐infrared and the widths of more than 20 lines are changed by more than 10%. The uncertainty in the foreign continuum coefficients is estimated as greater than 20% in some spectral regions, primarily a consequence of the uncertainty in the specification of water vapor. The improved far‐infrared spectroscopic parameters have a notable impact on calculated spectral radiances and a modest impact on broadband radiative fluxes and heating rates.

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Section: Summary and Discussionmentioning

confidence: 72%

Section: Summary and Discussionmentioning

confidence: 88%

Section: Measurement‐calculation Comparisonsmentioning

confidence: 99%

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Analysis of Water Vapor Absorption in the Far‐Infrared and Submillimeter Regions Using Surface Radiometric Measurements From Extremely Dry Locations

et al. 2019

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“…We use the Line-By-Line Radiative Transfer Model (LBLRTM; Clough et al, 2005) to simulate the downwelling radiance. The version used in this study is LBLRTM v12.7, with an updated line parameter database AER version 3.5 (following HITRAN 2012; Rothman et al, 2013) and a continuum code MT_CKD_3.0, which includes up-to-date C. Bellisario et al: Can downwelling FIR radiances be estimated from MIR information?…”

Section: Lblrtmmentioning

confidence: 99%

Can downwelling far-infrared radiances over Antarctica be estimated from mid-infrared information?

et al. 2019

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Abstract. Far-infrared (FIR: 100cm-1<wavenumber, ν<667 cm−1) radiation emitted by the Earth and its atmosphere plays a key role in the Earth's energy budget. However, because of a lack of spectrally resolved measurements, radiation schemes in climate models suffer from a lack of constraint across this spectral range. Exploiting a method developed to estimate upwelling far-infrared radiation from mid-infrared (MIR: 667cm-1<ν<1400 cm−1) observations, we explore the possibility of inferring zenith FIR downwelling radiances in zenith-looking observation geometry, focusing on clear-sky conditions in Antarctica. The methodology selects a MIR predictor wavenumber for each FIR wavenumber based on the maximum correlation seen between the different spectral ranges. Observations from the REFIR-PAD instrument (Radiation Explorer in the Far Infrared – Prototype for Application and Development) and high-resolution radiance simulations generated from co-located radio soundings are used to develop and assess the method. We highlight the impact of noise on the correlation between MIR and FIR radiances by comparing the observational and theoretical cases. Using the observed values in isolation, between 150 and 360 cm−1, differences between the “true” and “extended” radiances are less than 5 %. However, in spectral bands of low signal, between 360 and 667 cm−1, the impact of instrument noise is strong and increases the differences seen. When the extension of the observed spectra is performed using regression coefficients based on noise-free radiative transfer simulations the results show strong biases, exceeding 100 % where the signal is low. These biases are reduced to just a few percent if the noise in the observations is accounted for in the simulation procedure. Our results imply that while it is feasible to use this type of approach to extend mid-infrared spectral measurements to the far-infrared, the quality of the extension will be strongly dependent on the noise characteristics of the observations. A good knowledge of the atmospheric state associated with the measurements is also required in order to build a representative regression model.

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“…FIR spectral measurements of DLR proved valuable for refining the knowledge of water vapour spectroscopy (Mlawer et al, 2019) and testing the ability to model radiative transfer in the atmosphere (Mlynczak et al, 2016;Mast et al, 2017;Bellisario et al, 2019;Mlawer et al, 2019). In addition, ground-based FIR observations were successfully exploited to infer cloud properties (Maestri et al, 2014;Rizzi et al, 2016;Di Natale et al, 2017), to retrieve the thermal structure and composition of the atmosphere (Rizzi et al, 2018;Bianchini et al, 2019), as well as to conduct radiative closure studies (Delamere et al, 2010;Sussmann et al, 2016).…”

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confidence: 99%

The Far-Infrared Radiation Mobile Observation System for spectral characterisation of the atmospheric emission

Belotti

Barbara²,

Barucci³

et al. 2022

Preprint

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Abstract. The Far-Infrared Radiation Mobile Observation System (FIRMOS) is a Fourier transform spectroradiometer developed to support the Far-infrared Outgoing Radiation Understanding and Monitoring (FORUM) satellite mission by validating measurement methods and instrument design concepts, both in the laboratory and in field campaigns. FIRMOS is capable of measuring the downwelling spectral radiance emitted by the atmosphere in the spectral band from 100 to 1000 cm-1 (10–100 µm in wavelength), with a maximum spectral resolution of 0.25 cm-1. We describe the instrument design and its characterisation and discuss the geophysical products obtained by inverting the atmospheric spectral radiance measured during a campaign from the high-altitude location of Mount Zugspitze in Germany, beside the Extended-range Atmospheric Emitted Radiance Interferometer (E-AERI), which is permanently installed at the site. Following the selection of clear-sky scenes, using a specific algorithm, the water vapour and temperature profiles were retrieved from the FIRMOS spectra by applying the Kyoto protocol and Informed Management of the Adaptation (KLIMA) code. The profiles were found in very good agreement with those provided by radiosondes and by the Raman lidar operating from the Zugspitze Schneefernerhaus station. In addition, the retrieval products were validated by comparing the retrieved Integrated Water Vapour values with those obtained from the E-AERI spectra. Finally, we found that the trends for the temperature, and the water vapour profiles over time were in good agreement with those provided by ERA5 reanalysis.

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

Cited by 8 publications

References 21 publications

Analysis of Water Vapor Absorption in the Far‐Infrared and Submillimeter Regions Using Surface Radiometric Measurements From Extremely Dry Locations

Analysis of Water Vapor Absorption in the Far‐Infrared and Submillimeter Regions Using Surface Radiometric Measurements From Extremely Dry Locations

Can downwelling far-infrared radiances over Antarctica be estimated from mid-infrared information?

The Far-Infrared Radiation Mobile Observation System for spectral characterisation of the atmospheric emission

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