Passive microwave observations of South America and surrounding oceans from Russian Meteor-M No. 2 and Japan GCOM-W1 satellites

Kuleshov

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

et al. 2022

The Meteor-M No. 2-2 meteorological satellite with the microwave radiometer MTVZA-GY on board was launched into a circular sun-synchronous orbit on July 5, 2019. The radiometer conducts a conical scanning at 65-degree incidence angle and receives the Earth's outgoing radiation in the frequency range ν ≈ 6-190 GHz. The swath width is 2500 km on ascending orbits and 1500 km on descending orbits. The parameters of the ocean, land surface, and troposphere are extracted from brightness temperatures T B (ν) measured at imager frequencies of 6.9,

Section: Global Fields Of Brightness Temperaturementioning

confidence: 99%

Microwave Radiometer MTVZA-GY on New Russian Satellite Meteor-M No. 2-2 and Sudden Stratospheric Warming Over Antarctica

Kuleshov

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

et al. 2022

“…Над шельфовыми льдами в морях Уэдделла (2) и Росса (3) она ниже. Ледяной покров опоясывает цепочка циклонов, яркостный контраст которых на окружающем фоне обусловлен совместным влиянием излучения облачности, осадков и взволнованной водной поверхности (Mitnik et al, 2018b).…”

Section: глобальные поля яркостных температурunclassified

Microwave sensing of the ocean, atmosphere and land surface from Meteor-M No. 2 data

Chernyavsky¹,

Mitnik²,

Kuleshov³

et al. 2018

Sovr. Probl. DZZ Kosm.

Quart J Royal Meteoro Soc

First trial for the assimilation of radiance data from MTVZA‐GY on board the new Russian satellite meteor‐M N2‐2 in the CMA‐GFS 4D‐VAR system

Xiao,

Han,

Han

et al. 2024

The Imaging/Sounding Microwave Radiometer–Improved (MTVZA‐GY) on board the Russian meteorological satellite, Meteor‐M N2‐2, launched in 2019, provides daily observations of Earth's atmosphere and surface from a polar orbit. Here, its performance in a numerical prediction model – the Global/Regional Assimilation and Prediction System–Global Forecast System (CMA_GFS), which involves the Advanced Radiative Transfer Modeling System (ARMS) – was evaluated. After supplementing some lacking information during data preprocessing, the characteristics of all available channels (24 in total) were evaluated by comparison among channels, with background fields, and with similar active instruments in CMA‐GFS, as well as between different radiative transfer models. Failed calibration was found in all window channels. Scan position biases, ascending/descending biases, and striping noises were widely discovered in temperature‐sounding channels, as well as larger biases in humidity‐sounding channels. Following quality control and bias correction, only two temperature‐sounding channels were feasible for assimilation into CMA‐GFS within the observational errors calculated by the a posteriori verification scheme. A one‐month experiment confirmed that these two channels have positive impacts on the analysis of both thermal and dynamic fields, as well as short‐term weather forecasting in the Northern Hemisphere and tropics. Short‐term global forecasting of moderate rainfall was also improved. This work is a pioneering attempt at examining the potential and impacts of assimilating MTVZA‐GY in a numerical weather prediction model system. It also provides guidance for the manufacture and usage of the instruments that will be on board the three satellites planned for launch by the Russian Federation in the next three years.