We present an algorithm for the rapid retrieval of the carbon dioxide total column amounts (XCO2) using short wave infrared (SWIR) spectra of the reflected sunlight measured from space. The algorithm takes advantage of the combined processing of observational data from two different satellite missions. For the algorithm implementation we adopted the previously developed EOF (Empirical Orthogonal Functions)-based approach that exploits regression relations of the principal components of the measured spectra with target XCO2 values. In the original algorithm version the regression coefficients were derived by using training sets of collocated satellite and ground-based observations (ground-based observations were treated as “true values”). In this paper we implemented similar approach in which training set for one satellite mission is created using collocated observations of the another “reference” space mission simultaneously on-orbit (in this case XCO2 retrievals of the “reference” mission were treated as “true values”). This approach enables rapid data processing of the new satellite missions omitting expensive and time consuming stage of retrieval algorithm development. The feasibility of the approach was tested by joint processing of GOSAT and OCO-2 observation data. For the analysis of the algorithm precision/accuracy characteristics we used the collocated observations from the Total Carbon Column Observing Network (TCCON).
The method of combined lidar and radiometer sounding (LRS) became a specialized tool for measuring altitude distributions of aerosol optical parameters and aerosol mode concentrations. The work gives description of advanced version of LRS technique, which integrates data of ground-based multiwavelength lidar systems, as well as satellite lidars like CALIOP, with data of AERONET radiometer stations for monitoring aerosol mode concentration profiles to study the atmospheric process over the area of large regions, or the Earth's atmosphere as a whole. Lidar and Radiometer Inversion Cod (LIRIC) is used as a base software package for processing data of terrestrial and satellite lidar observation because of high stability of its sequential inversion procedure for processing combined radiometer and lidar data. Special software module was developed to extract the ensemble of individual CALIOP profiles of attenuated backscatters in the vicinity of AERONET sites from CALIPSO Lidar L1B Profile Data. A number of collocated measurements by means of AERONET radiometer, ground-based lidar and CALIOP were carried out to validate the results of the extended LRS technique. Altitude profiles of aerosol mode concentrations retrieved from ground-based and satellite lidar data are compared to estimate differences between two types of LRSmeasurements. Advanced terrestrial and satellite LRS technique was used to obtain the “snapshot” of aerosol concentration profiles over the world in the frame of international “Lidar and Radiometer measurement campaign - 2017" (LRMC-2017). Thirty nine combined lidar and radiometer stations in Eurasian and South American continents participated in terrestrial part of the campaign.
A. Chaikovsky, A. Bril, A. Fedarenka, V. Peshcharankou, S. Denisov, V. Dick, F. Asipenka, Yu. Balin, G. Kokhanenko, I. Penner, S. Samoilova, M. Klemasheva, S. Nasonov, G. Zhamsueva, A. Zayakhanov, V. Tsydypov, D. Azzaya, D. Oyunchimeg, G. Bayasgalan, E. Enkhbat, M. Regzedmaa, N. Lkhagvadorj, G. Dulamtsoo, N. Enkhmaa, Sh. Amarbileg, Nguyen Xuan Anh, Pham Xuan Thanh, Hiep Van Nguyen, Pham Le Khuong, B. Chen, L. Sverdlik
The development of the scientific, methodological and technical basis for an integrated terrestrial and satellite monitoring of the atmosphere and the Earth's surface over the Eurasian continent is the goal of an international project carried out by the scientific organizations of Belarus, Russia, Mongolia and Vietnam with the support of the Eurasian Association for the Support of Scientific Research (EAPS). The report presents the results of testing the method of coordinated terrestrial and satellite, lidar and radiometric measurements to study altitude profiles of aerosol parameters in the areas of AERONET stations in the countries participating in the project. The data of the satellite lidar CALIOP and the solar radiometer were processed by the algorithms developed in the frame of combined lidar and radiometric sounding technique (LRS). Coordinated multiwavelength lidar measurements were carried out at remote sensing stations in IPNASB (Minsk, Belarus), IAO (Tomsk, Russia) and KRSU (Teplokluchenka, Kyrgyzstan) to validate the results of satellite data processing.
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