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Pre-Processing,Quality Assurance,and Use of Global atmospheric motion vector Observations in CRA

Journal of Meteorological Research 2022年第6期36卷 947-962页

作者： Minyan WANG Shuang YAO Lipeng JIANG Tao ZHANG Chunxiang SHI Ting ZHU National Meteorological Information Centre China Meteorological AdministrationBeijing 100081 CMA Earth System Modeling and Prediction Centre China Meteorological Administration(CMA)Beijing 100081

Assimilation of atmospheric motion vectors(AMVs)is important in the initialization of the atmospheric state in numerical weather prediction models,especially over oceans and at high latitudes where conventional data are *** paper presents a detailed description of the pre-processing,quality assurance,and use of global AMVs in China’s first generation of the 40-yr(1979-2018)CRA global atmospheric reanalysis product.A new AMV archive is integrated from near real-time operational Global Telecommunication System data and reprocessed AMV datasets released or produced mainly during 2014-2016 according to a priority *** avoid the misuse of data with systematic quality problems,the observations of all 18 types of AMVs from 54 satellites are pre-evaluated over the whole time *** pre-evaluation system developed by the CRA team is based on the NCEP Gridpoint Statistical Interpolation(GSI)three-dimensional variational assimilation system and the ERA-Interim reanalysis *** AMVs in the new AMV archive are denser than the AMVs prepared for the Climate Forecast System Reanalysis product,the bias and root-mean-square values are smaller,and the time series are *** new AMV archive is assimilated in the CRA product based on the NCEP GSI assimilation procedure and quality control configuration with reference to the pre-evaluation *** is the first time that the reprocessed AMVs from Fengyun-2 satellites from June 2005 to July 2017 are assimilated in a reanalysis *** assimilation features inspire confidence in the accuracy and stability of these *** mean root-mean-square values of the observation minus analysis infrared,water vapor,and visible AMV were 1.5-3.4,2.7-3.6,and 1.3-2.1 m s-1,*** experience of integrating,pre-evaluating,and assimilating AMV observations is valuable for the next generation of reanalysis products.

关键词： reanalysis CRA(China’s first generation of 40-yr global atmospheric ReAnalysis product) atmospheric motion vector integration assimilation reprocessed data

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Derivation of Cloud-Free-Region atmospheric motion vectors from FY-2E Thermal Infrared Imagery

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Advances in atmospheric Sciences 2017年第2期34卷 272-282页

作者： Zhenhui WANG Xinxiu SUI Qing ZHANG Lu YANG Hang ZHAO Min TANG Yizhe ZHAN Zhiguo ZHANG Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters CMA Key Laboratory for Aerosol-Cloud PrecipitationNanjing University of Information Science and TechnologyNanjing 210044China School of atmospheric Physics Nanjing University of Information Science and TechnologyNanjing 210044China Beijing Meteorological Office(Da Xing) Beijing 102600China

The operational cloud-motion tracking technique fails to retrieve atmospheric motion vectors （AMVs） in areas lacking cloud; and while water vapor shown in water vapor imagery can be used, the heights assigned to the retrieved AMVs are mostly in the upper troposphere. As the noise-equivalent temperature difference （NEdT） performance of FY-2E split win- dow （10.3-11.5 μm, 11.6-12.8 μm） channels has been improved, the weak signals representing the spatial texture of water vapor and aerosols in cloud-free areas can be strengthened with algorithms based on the difference principle, and applied in calculating AMVs in the lower troposphere. This paper is a preliminary summary for this purpose, in which the principles and algorithm schemes for the temporal difference, split window difference and second-order difference （SD） methods are introduced. Results from simulation and cases experiments are reported in order to verify and evaluate the methods, based on comparison among retrievals and the ＂truth＂. The results show that all three algorithms, though not perfect in some cases, generally work well. Moreover, the SD method appears to be the best in suppressing the surface temperature influence and clarifying the spatial texture of water vapor and aerosols. The accuracy with respect to NCEP 800 hPa reanalysis data was found to be acceptable, as compared with the accuracy of the cloud motion vectors.

关键词： atmospheric motion vector cloud-free area FY-2E IR split window imagery difference method

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Characteristics of Fengyun-4A Satellite atmospheric motion vectors and Their Impacts on Data Assimilation

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Advances in atmospheric Sciences 2020年第11期37卷 1222-1238页

作者： Yaodeng CHEN Jie SHEN Shuiyong FAN Deming MENG Cheng WANG Key Laboratory of Meteorological Disaster of Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 210044China Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089China

The high observation efficiency,scanning speed and observation frequency of the Fengyun-4A(FY-4A)satellite indicates the progress of Chinese geostationary meteorological *** characteristics of FY-4A atmospheric motion vectors(AMVs)derived from the high-level water vapor(WV-High)channel,mid-level water vapor(WV-Mid)channel,and infrared(IR)channel of FY-4A are analyzed,and their corresponding observation errors ***,the impacts of single-channel and multi-channel FY-4A AMVs on RMAPS-ST(the Rapid-refresh Multi-scale Analysis and Prediction System-Short Term)are evaluated based on one-month data assimilation cycling and forecasting *** show that the observation errors of FY-4A AMVs from the three channels have an explicit vertical *** from the cycling experiments indicate that the assimilation of AMVs from WV-High produces more apparent improvement of the wind in the upper layer,while a more positive effect in the lower layer is achieved by the assimilation of AMVs from ***,the assimilation of AMVs from IR is more skillful for medium and moderate precipitation than from other channels owing to the good quality of data in the lower layer in the AMVs from *** of FY-4A AMVs from the three channels could combine the advantages of assimilation from each individual channel to improve the wind in the upper,middle and lower layers simultaneously.

关键词： data assimilation FY-4A satellite atmospheric motion vector observation error

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Water Vapor motion Signal Extraction from FY-2E Longwave Infrared Window Images for Cloud-free Regions:The Temporal Difference Technique

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Advances in atmospheric Sciences 2014年第6期31卷 1386-1394页

作者： YANG Lu WANG Zhenhui CHU Yanli ZHAO Hang TANG Min Beijing Meteorological Office (Da Xing) Collaborative Innovation Center on the Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science & Technology School of atmospheric Physics Nanjing University of Information Science & Technology Institute of Urban Meteorology China Meteorological Administration

The aim of this study is to calculate the low-level atmospheric motion vectors （AMVs） in clear areas with FY-2E IR2 window （11.59-12.79 μm） channel imagery,where the traditional cloud motion wind technique fails.A new tracer selection procedure,which we call the temporal difference technique,is demonstrated in this *** technique makes it possible to infer low-level wind by tracking features in the moisture pattern that appear as brightness temperature （TB） differences between consecutive sequences of 30-min-interval FY-2E IR2 images over cloud-free *** TB difference corresponding to a 10％ change in water vapor density is computed with the Moderate Resolution atmospheric Transmission （MODTRAN4） radiative transfer *** total contribution from each of the 10 layers is analyzed under four typical atmospheric conditions：tropical,midlatitude summer,***,and midlatitude *** peak level of the water vapor weighting function for the four typical atmospheres is assigned as a specific height to the TB ＂wind＂.This technique is valid over cloudfree ocean *** proposed algorithm exhibits encouraging statistical results in terms of vector difference （VD）,speed bias （BIAS）,mean vector difference （MVD）,standard deviation （SD）,and root-mean-square error （RMSE）,when compared with the wind field of NCEP reanalysis data and rawinsonde observations.

关键词： atmospheric motion vector clear sky radiative transfer temporal difference technique

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