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Infrared Radiance Simulation and Application under Cloudy Sky Conditions Based on HIRTM

Journal of Electronic Science and Technology 2019年第2期17卷 161-170页

作者： Jian-Hua Qu Jun-Jie Yan Mao-Nong Ran huayun shinetek Company China Meteorological Administration

An algorithm based on hyperspectral infrared cloudy radiative transfer model (HIRTM) is introduced and a simulation method for infrared image of the generation geostationary meteorological satellite is proposed. Based on the parameters from weather research and forecast (WRF), such as the water content, atmospheric temperature, and humidity profile, the simulation data for the advanced Himawari imager (AHI) infrared radiative (IR) channels of Himawari-8 are obtained. Simulated results based on HIRTM agree well with the observed data. Further, the movement, development, and change of the cloud are well predicated. And the simulation of IR cloud image for the weather forecast has been obtained. This paper provides an improved method for evaluation and improvement of regional numerical model for weather forecast.

关键词： Hyperspectral infrared cloudy radiative transfer model (HIRTM) regional numerical model satellite cloud image

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Fast CO_(2) Retrieval Using a Semi-Physical Statistical Model for the High-Resolution Spectrometer on the Fengyun-3D Satellite

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Journal of Meteorological Research 2022年第2期36卷 374-386页

作者： Yanmeng BI Peng ZHANG Zhongdong YANG Qian WANG Xingying ZHANG Chengbao LIU Pengmei XU Lizhou HOU Junyu KE Naiqiang ZHANG Innovation Center for Fengyun Meteorological Satellite Key Laboratory of Radiometric Calibration and Validation for Environmental SatellitesNational Satellite Meteorological CenterChina Meteorological AdministrationBeijing 100081 China Academy of Space Technology Beijing 100081 huayun shinetek Beijing 100081

China’s Fengyun-3D meteorological satellite launched in December 2016 carries the high-resolution greenhouse-gases absorption spectrometer(GAS)aimed at providing global observations of carbon dioxide(CO_(2)).To date,GAS is one of the few instruments measuring CO_(2) from the near-infrared *** orbit,the oxygen(O_(2))A band suffers a disturbance,and the signal-to-noise ratio(SNR)is significantly lower than the nominal *** leads to difficulties in the retrieval of surface pressure and hence a degradation of the retrieval of the column-averaged CO_(2) dry air mole fraction(XCO_(2))if a full physics retrieval algorithm is ***,a fast CO_(2) inverse method,named semi-physical statistical algorithm,was developed to overcome this *** instrument characteristics,the semi-physical statistical algorithm,and the results of comparison with ground-based measurements over land were introduced in this ***_(2) can be obtained from three bands,namely,the O_(2) A,weak CO_(2),and strong CO_(2) bands,with compensation from the Medium Resolution Spectral Imager-2(MERSI-2)products,ECMWF Reanaly-sis v5(ERA-5)data,and Total Carbon Column Observing Network(TCCON)*** eigenvectors of covariance matrices and the least square fits were used to derive retrieval coefficients and yield cloud-free *** addition to the GAS radiance,some key factors necessary for the accurate estimations of XCO_(2) were also taken as input information(e.g.,air mass,surface pressure,and a priori XCO_(2)).The global GAS XCO_(2) restricted over land was compared against the simultaneously collocated observations from *** retrieval algorithm can mitigate the issue caused by the low SNR of the O_(2) A band to a certain ***,through site-by-site comparisons,GAS XCO_(2) agreed well with the average precision(1σ)of 1.52 ppm and bias of−0.007 *** seasonal variation trends of GAS XCO_(2) can be clearly seen at TCCON sites on the 1-yr timescale.

关键词： carbon dioxide fast retrieval Fengyun-3 high-resolution spectrometer

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