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检索条件"机构=Center for Data Assimilation Research and Application"
24 条 记 录,以下是1-10 订阅
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Overview and New Opportunities for Multi-Source data assimilation
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Journal of Meteorological research 2025年 第1期39卷 1-25页
作者: Xiaolei ZOU Joint Center of Data Assimilation for Research and Application Nanjing University of Information Science&TechnologyNanjing210044China
The world witnessed an accelerated development of various types of meteorological observing technology,an evolution of numerical weather prediction(NWP)models from single atmospheric component to coupled multi-compone... 详细信息
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GOES-16 ABI Brightness Temperature Observations Capturing Vortex Rossby Wave Signals during Rapid Intensification of Hurricane Irma(2017)
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Journal of Meteorological research 2024年 第4期38卷 768-783页
作者: Yanyang HU Xiaolei ZOU Joint Center of Data Assimilation for Research and Application Nanjing University of Information Science&TechnologyNanjing 210044
Geostationary Operational Environmental Satellite-16(GOES-16) Advanced Baseline Imager(ABI) observations of brightness temperature(TB) are used to examine the temporal evolutions of convection-affected structures of H... 详细信息
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Relationships of along-the-track local variations of GPS RO impact parameter to strong local vertical gradient of wet refractivity in the tropics
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Science China Earth Sciences 2021年 第11期64卷 2015-2026页
作者: Shengpeng YANG Xiaolei ZOU Joint Center of Data Assimilation for Research and Application Nanjing University of Information Science&TechnologyNanjing 210044China
Atmospheric refractivity fields are more strongly affected by more water vapor in the tropical lower troposphere than *** this study,based on model simulations,we first collocated the radio occultation(RO)data in 2009... 详细信息
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applications of the Three-cornered Hat Method to the Error Variance Estimations of FY-4A Atmospheric Temperature Profiles
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Atmosphere 2023年 第1期61卷 12-24页
作者: Yue Zhang Yudong Gao Xu Xu Fang Zhao 1 Chongqing Institute of Meteorological Sciences Chongqing 401147 People’s Republic of China2 Chongqing Engineering Research Center of Agrometeorology and Satellite Remote Sensing Chongqing 401147 People’s Republic of China 3 Joint Center of Data Assimilation for Research and Application Nanjing University of Information Science & Technology Nanjing 210044 People’s Republic of China 4 Chongqing Meteorological Information and Technology Support center Chongqing 401147 People’s Republic of China
ABSTRACTABSTRACTThis study applied the three-cornered hat method to the error variance estimations of temperature profiles retrieved from the Geosynchronous Interferometric Infrared Sounder (GIIRS), the first hyperspe... 详细信息
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Surface Temperature assimilation Improving Geostationary Meteorological Satellite Surface-Sensitive Brightness Temperature Simulations Over Land
SSRN
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SSRN 2023年
作者: Li, Xin Zou, Xiaolei Zeng, Mingjian Zhuge, Xiaoyong Wu, Yang Wang, Ning Key Laboratory of Transportation Meteorology of China Meteorological Administration Nanjing Joint Institute for Atmospheric Sciences Chinese Academy of Meteorological Sciences Jiangsu Meteorological Service Nanjing210041 China Center of Data Assimilation for Research and Application Nanjing University of Information Science & Technology Nanjing210044 China Jiangsu Climate Center Nanjing210041 China
This study explores a possibility of improving Advanced Himawari Imager (AHI) surface-sensitive brightness temperature (TB) simulations over land by assimilating land surface temperature (LST) observations from the Na... 详细信息
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Bias characterization of ATMS low-level channels under clearsky and cloudy conditions
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Frontiers of Earth Science 2019年 第2期13卷 277-289页
作者: Qi LI Xiaolei ZOU Joint Center of Data Assimilation for Research and Application College of Atmospheric ScienceNanjing University of Information Science and Technology (NUIST)Nanjing 210044China Earth System Science Interdisciplinary Center (ESSIC) University of MarylandCollege ParkMD 20740-3823USA
The Advanced Technology Microwave Soun? der (ATMS) onboard the Suomi National Polar-Orbiting Partnership satellite is a cross-track scanning instrument containing 22 sounding channels in *** this study,the bias charac... 详细信息
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A Machine Learning Approach for Deriving Atmospheric Temperatures and Typhoon Warm Cores From FY-3E MWTS-3 Observations
Journal of Geophysical Research: Machine Learning and Comput...
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Journal of Geophysical research: Machine Learning and Computation 2024年 第3期1卷
作者: Zeyi Niu Xiaolei Zou Shanghai Typhoon Institute and Key Laboratory of Numerical Modeling for Tropical Cyclone of the China Meteorological Administration Shanghai China Department of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences Fudan University Shanghai China Joint Center of Data Assimilation for Research and Application Nanjing University of Information and Science & Technology Nanjing China
Machine learning has gained an increasing popularity in the fields of satellite retrieval and numerical weather modeling. In this study, machine-learning (ML) neural-network (NN) models are utilized to retrieve atmosp... 详细信息
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INTRODUCTION
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Bulletin of the American Meteorological Society 2024年 第8期105卷 S1-S11页
作者: Boyer, T. Blunden, J. Dunn, R.J.H. NOAA/NESDIS National Centers for Environmental Information Silver Spring Maryland NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Scripps Institution of Oceanography University of California San Diego La Jolla California NOAA/NWS National Centers for Environmental Prediction Climate Prediction Center College Park Maryland Brandenburg University of Technology (BTU) Cottbus-Senftenberg Germany Servicio Meteorológico Nacional Buenos Aires Argentina NOAA/OAR Physical Sciences Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Bonn Germany Center for Geophysical Research and School of Physics University of Costa Rica San José Costa Rica Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Centro Nacional de Monitoramento e Alertas de Desastres Naturais CEMADEN São Paulo Brazil Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Hampton University Hampton Virginia Seychelles Meteorological Authority Mahe Seychelles Section for Glaciers Ice and Snow Norwegian Water Resources and Energy Directorate Oslo Norway National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany NOAA Global Monitoring Laboratory Boulder Colorado Servicio Nacional de Meteorología e Hidrología del Perú Lima Perú Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Department o
In 2023, La Niña conditions that generally prevailed in the eastern Pacific Ocean from mid-2020 into early 2023 gave way to a strong El Niño by October. Atmospheric concentrations of Earth’s major greenhous...
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Liquid Water Path Retrieval Using the Lowest Frequency Channels of Fengyun-3C Microwave Radiation Imager(MWRI)
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Journal of Meteorological research 2017年 第6期31卷 1109-1122页
作者: Fei TANG Xiaolei ZOU Joint Center of Data Assimilation for Research and Application College of Atmospheric ScienceNanjing University of Information Science &Technology State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological Administration Earth System Science Interdisciplinary Center University of Maryland College Park
The Microwave Radiation Imager (MWRI) on board Chinese Fengyun-3 (FY-3) satellites provides measurements at 10.65, 18.7, 23.8, 36.5, and 89.0 GHz with both horizontal and vertical polarization channels. Brightness... 详细信息
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Development and Initial Assessment of a New Land Index for Microwave Humidity Sounder Cloud Detection
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Journal of Meteorological research 2016年 第1期30卷 12-37页
作者: 秦正坤 邹晓蕾 Center of Data Assimilation for Research and Application Nanjing University of Information Science & Technology Earth System Science Interdisciplinary Center University of Maryland
This paper describes a new quality control (QC) scheme for microwave humidity sounder (MHS) data assimilation. It consists of a cloud detection step and an O-B (i.e., differences of brightness temperatures betwee... 详细信息
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