Abstract:Abstract. The change of the global climate is most pronounced in
the Arctic, where the air temperature increases 2 to 3 times faster
than the global average. This process is associated with an increase in the
concentration of greenhouse gases in the atmosphere. There are publications
predicting the sharp increase in methane emissions into the atmosphere due
to permafrost thawing. Therefore, it is important to study how the air
composition in the Arctic changes in the changing climate. In the Russian
sector of … Show more
“…The field data were obtained during an under-aircraft experiment performed during the 1st stage of the 89th cruise of the R/V 'Akademik Mstislav Keldysh' (AMK) on September 10, 2022 in the southwestern part of the Kara Sea. The total upwelling radiance spectra Lt(λ) were obtained using a PSR-1100f spectroradiometer with a spectral range of 320-1100 nm and a spectral resolution of <3 nm, installed on board the Tu-134 "Optik" laboratory aircraft 3 . The spectra were recorded when the receiver was set to nadir, the angle of the field of view of the receiver lens was 4°, the recording was carried out once every 15 seconds, which, at an aircraft speed of about 120 m/s, corresponds to a spatial data resolution of 1.8 km.…”
A method has been developed for calculating the spectral remote sensing reflectance based on the total upwelling radiance measurements, carried out from the ‘Optik’ Tu-134 aircraft laboratory over the Kara Sea on September 10, 2022. Data on the spectral downwelling irradiance and the reference remote sensing reflectance were obtained during synchronous underaircraft measurements from the R/V ‘Akademik Mstislav Keldysh’. To calculate the remote sensing reflectance, a simple two-parameter formula is proposed (with the relative error of 7%), the application of which allows one to separate the reflected from the surface radiation and take into account the variability of sky conditions due to the influence of variable cloudiness.
“…The field data were obtained during an under-aircraft experiment performed during the 1st stage of the 89th cruise of the R/V 'Akademik Mstislav Keldysh' (AMK) on September 10, 2022 in the southwestern part of the Kara Sea. The total upwelling radiance spectra Lt(λ) were obtained using a PSR-1100f spectroradiometer with a spectral range of 320-1100 nm and a spectral resolution of <3 nm, installed on board the Tu-134 "Optik" laboratory aircraft 3 . The spectra were recorded when the receiver was set to nadir, the angle of the field of view of the receiver lens was 4°, the recording was carried out once every 15 seconds, which, at an aircraft speed of about 120 m/s, corresponds to a spatial data resolution of 1.8 km.…”
A method has been developed for calculating the spectral remote sensing reflectance based on the total upwelling radiance measurements, carried out from the ‘Optik’ Tu-134 aircraft laboratory over the Kara Sea on September 10, 2022. Data on the spectral downwelling irradiance and the reference remote sensing reflectance were obtained during synchronous underaircraft measurements from the R/V ‘Akademik Mstislav Keldysh’. To calculate the remote sensing reflectance, a simple two-parameter formula is proposed (with the relative error of 7%), the application of which allows one to separate the reflected from the surface radiation and take into account the variability of sky conditions due to the influence of variable cloudiness.
“…1a. Methodology of airborne investigations by lidar is given in Belan et al 21 The flying laboratory made direct passes over the vessel at an altitude of ~90-200 m above the sea surface on September 9 and 10, 2022. The duration of these sections is 10-15 minutes, and the length is 70-100 km at aircraft speed of ~120 m/s.…”
Suspended particulate matter (SPM) as a main proxy of sedimentation conditions has potential to improve the study and monitoring of the consequences of rapid warming of the Arctic. In this study, we report the concentration of SPM and its major phase composition in the South Kara sedimentary basin in September 2022 as part of a climate experiment to investigate the composition of air and characteristics of the underlying surface in the Russian region of the Arctic and Siberia. In order to understand the sources, sinks, and hydrodynamic influences on SPM distribution in the South Kara Sea, three sections were carried out during cruise: longshore coastal section at the Priyamal shelf and two zonal sections through the center of the study area. These sections of SPM were overlain by salinity, temperature, turbidity, and chlorophyll-a fluorescence contours. Full depth profiles of SPM mass and volume concentrations obtained by a set of methods demonstrate layers of particle accumulation at density interfaces in the upper water column and widespread distribution of near bottom nepheloid layers. Particle composition and chlorophyll-a concentration analyzed from filtered samples throughout the water column aided considerably in determining the sources and distribution of SPM.
“…Vertical profiles of aerosol parameters can be measured by various instruments from the aircraft laboratory [15][16][17][18], which is probably the most effective source of contact measurements. Their alternative is remote sensing systems.…”
A procedure is proposed for determining the aerosol microphysical characteristics, the complex refractive index m = m real + i*m image and the bimodal size distribution function U(r) of spherical particles, based on laser sensing data at the wavelengths within 355-1064 nm. In parallel with this, the possibilities of an additional Raman scattering channel in the IR wavelength range are considered. The main attention is paid to a separate fraction-wise retrieval of m + U(r) for weakly absorbing particles, m image < 0.015, when m fine ≠ m coarse holds. The algorithms are tested for a fixed value m fine = 1.50+i*0.01 and varied values of m coarse = 1.40+i*0.0001 or 1.60+i*0.0001. In order to include the influence of the contribution from the particles of different fractions into the total concentration, 462 empirical models of U(r) are used.
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