Information Technologies in Remote Sensing of the Earth

General data assimilation methodology is outlined. Variational, ensemble based, and hybrid ensemble-variational approaches currently used in operational weather forecasting are briefly reviewed. Their advantages and disadvantages are listed. Specificity of satellite radiance data assimilation is discussed, including roles of observation-error covariance matrix, observation operator, and bias correction, and impact of clouds and precipitation. Estimates of the accuracy of microwave radiances from the MTVZA-GY radiometer and their impact on the data assimilation system of the Hydrometcentre of Russia are given. A significant positive impact on three-day weather forecasts in the southern hemisphere in the absence of AMSU-A data is found. Observations produced by the infrared Fourier spectrometer IKFS-2 onboard Meteor-M N2 are also examined. Preliminary results on their accuracy and on their impact on assimilation are presented.

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Information Technologies in Remote Sensing of the Earth - RORSE 2018

Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)

Assimilation of Satellite Radiances for Numerical Weather Prediction

Section 1. Methods of modeling various phenomena focused on assimilation of remote sensing data