253
Atmospheric
Radiation
verification of developed FRTM are presented. The construction of radiative
models, which use the algorithm of the Monte Carlo method and applicable for
the analysis and modeling of the data of IR sounders under conditions of cloud‑
iness in the instrument field of view, is considered [Uspensky et al., 2014]. Nu‑
merical simulation of the technology for determining the data of temperature‑hu‑
midity atmospheric sounding from IR and microwave measurements from
“Meteor-M” has been performed in cooperation with SPbSU [Polyakov et al.,
2013c]. For the preparation for interpreting new space experiments on the Rus‑
sian “Meteor-M” N2 at St. Petersburg State University, algorithms and codes for
retrieving the vertical profiles of temperature, humidity, ozone content, ocean
and land temperature, cloud liquid water content, near-surface wind have been
developed. Numerical experiments for analyzing the accuracy of the parameters
retrieval from data of satellite IR Fourier-spectrometer IRFS-2 and microwave
spectrometer MTVZA are carried out by means of various techniques of solving
inverse problems (multiple linear regression, iterative method of optimal estima‑
tion (statistical regularization) and artificial neural networks) [Polyakov et al.,
2013c, 2014b, 2014c].
The description of the measuring complex onboard the Electro-L N1 geosta‑
tionary weather satellite is provided, and methodical questions of receiving the
information products from data of the MSU‑GS radiometer‑imager are consid‑
ered [Asmus et al., 2012]. The regression method for retrieving the ozone total
content (OTC) from the MSU‑GS has been proposed
and tested on real satellite
data. Validation of the OTC estimates is performed by the comparison with data
of ground-based ozonometric network and independent OMI satellite estimates
[Kramchaninova and Uspensky, 2013]. The multispectral satellite imaging sys‑
tem (MSIS) aboard the Meteor-M No. 1 spacecraft has surveyed the territory of
Russia and neighboring countries for three years. The MSIS data, supplemented
by synchronous navigational information, are automatically received, pipeline
processed, archived, and cataloged at ground-based receiving stations in Mos‑
cow, Novosibirsk, and Khabarovsk. These data are used to solve a wide range of
land-use, environmental, and emergency monitoring problems; assess ice situa‑
tions in seas, rivers,
and lakes; etc. [Avanesov et al., 2013].
Many studies have been devoted to retrieving the atmospheric and surface
characteristics using data from different foreign satellites and devices (SEVIRI/
METEOSAT-9, AVHRR NOAA, MetOp, SSM/I, Terra, Aqua, etc.) or to com‑
paring retrieved results with data of independent measurements. The vertical
profiles of the O
3
, CO, CO
2
and CH
4
concentrations measured onboard the Optik
Tu-134 aircraft laboratory and retrieved from data obtained with an IASI (MetOp
satellite) have been compared [Arshinov et al., 2014]. The improved techniques
for the CO
2
and CH
4
retrieval from the AIRS and IASI data have been proposed.
A comparison of the satellite data with quasi-synchronous aircraft observations