A23I:
Data Assimilation, Reanalysis, and Observing System Simulation Experiments: Theory and Applications IV Posters


Submit an Abstract to this Session


Session ID#: 49331

Session Description:
Data assimilation is a sequential process that incorporates satellite and in-situ observations into a background state (forecast) provided by the NWP models. The model state is then updated and a new forecast is initiated which will be used to provide the background state for the next assimilation cycle. This session is devoted to assimilation of spaceborne and conventional observations into NWP models; development, validation, and inter-comparison of reanalysis products; new advanced statistical and mathematical methods for data assimilation; as well as Observing System Simulation Experiments (OSSE) including simulation of realistic observations, validation of Nature Runs, and data assimilation experiments using simulated observations.
Primary Convener:  Isaac Moradi, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office (GMAO), Greenbelt, United States
Conveners:  Daryl Kleist, NOAA/NWS/NCEP/EMC, College Park, United States, Nancy L Baker, Marine Meteorology Division, Naval Research Lab, Monterey, CA, United States and Robert M Atlas, NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States
Primary Liaisons:  Daryl Kleist, NOAA/NWS/NCEP/EMC, College Park, United States and Isaac Moradi, CICS/ESSIC, University of Maryland, College Park, MD, United States
Chairs:  Isaac Moradi, CICS/ESSIC, University of Maryland, College Park, MD, United States and Daryl Kleist, NOAA/NWS/NCEP/EMC, College Park, United States
OSPA Liaison:  Daryl Kleist, NOAA/NWS/NCEP/EMC, College Park, United States

Cross-Listed:
  • C - Cryosphere
  • GC - Global Environmental Change
  • H - Hydrology
  • NG - Nonlinear Geophysics
Index Terms:

0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3336 Numerical approximations and analyses [ATMOSPHERIC PROCESSES]
3372 Tropical cyclones [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

A High-Resolution Blended Snow Analysis for the Next Generation Global Prediction System (466947)
Cezar Kongoli, University of Maryland, College Park, Earth System Science Interdisciplinary Center, College Park, MD, United States, Thomas M Smith, NOAA/STAR/SCSB and CICS/ESSIC University of Maryland, College Park, United States, Jiarui Dong, NOAA/NWS/NCEP, College Park, United States, Helin Wei, NOAA/NWS/NCEP/EMC, College Park, United States and Ivan Andras Csiszar, NOAA/NESDIS, College Park, United States
Buddy check for satellite radiance for data assimilation (401784)
Hyoung-Wook Chun, Hyo-Jong Song and Ji-Hyun Ha, KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, South Korea
A study on performance improvement of semi real-time forecast system at KIAPS by improving ASCAT processing system (403082)
Hyun-Jun Han, In-Hyuk Kwon, Jeon-Ho Kang and Hyoung-Wook Chun, KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, South Korea
Analysis on effect of aircraft temperature bias for data assimilation system at KIAPS (403219)
Huinae Kwon1, Jeon-Ho Kang2 and In-Hyuk Kwon2, (1)KIAPS Korea Institute of Atmospheric Prediction Systems, Seoul, South Korea, (2)KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, South Korea
Characteristics of Covariances Between Land and Low-Atmosphere States and Their Influences on Coupled Land-Atmospheric Data Assimilation (462471)
Junkai Liu, University of Utah, Salt Lake City, UT, United States and Zhaoxia Pu, University of Utah, Department of Atmospheric Sciences, Salt Lake City, UT, United States
Comparison of Analysis and Forecast Uncertainty from Two Different Ensemble Generation Mechanisms: LETKF vs. ET. (435515)
Patrick J Hogan, Stennis Space Ctr, Stennis Space Center, MS, United States, Clark David Rowley, Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, Ole Martin Smedstad, Pareton, Inc., Herndon, United States, Stephen Gregory Penny, NOAA Boulder, Boulder, MD, United States and Prasad Thoppil, John C. Stennis Space Center, Stennis Space Center, MS, United States
Development of an Operational Hybrid Data Assimilation System at KIAPS (400793)
In-Hyuk Kwon1, Song Hyo-Jong1, Ji-Hyun Ha1, Hyoung-Wook Chun1, Jeon-Ho Kang1, Sihye Lee Sr.1, Sujeong Lim1, Youngsoon Jo1, Hyun-Jun Han1, Hanbyeol Jeong1, Hui-Nae Kwon2, Seoleun Shin1 and Tae-Hun Kim1, (1)KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, South Korea, (2)KIAPS Korea Institute of Atmospheric Prediction Systems, Seoul, South Korea
Impact Study of the Assimilation of Surface Sensitive Microwave Radiances in the GEOS (427207)
Hamideh Ebrahimi, JCSDA/ GMAO, Greenbelt, MD, United States, Guillaume Vernires, NOAA/NWS/NCEP/EMC, College Park, United States and Will McCarty, NASA Headquarters, Earth Science Division, Washington, D.C., United States
Improving tropical cyclone initialization for NCEP operations: A case study of Hurricane Joaquin (2015) (425238)
Chu-Chun Chang, Woodwell Climate Research Center, Falmouth, United States, Daryl T Kleist, NOAA NCEP/EMC, College Park, United States and Kayo Ide, University of Maryland, College Park, MD, United States
Land Data Assimilation with Local Ensemble Transform Kalman Filtering scheme (403461)
Eunkyo Seo, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of (South) and Myong-In Lee, Ulsan National Institute of Science and Technology, Urban and Environmental Engineering, Ulsan, Korea, Republic of (South)
Optimization of Future SmallSats Constellations through OSSE: A Test Case of Assessing the Value of Deploying EON-MW in High- and Low-Inclination Orbits (447065)
Yan Zhou, University of Maryland College Park, College Park, MD, United States, Sid Ahmed Boukabara, NOAA NESDIS, Camp Springs, MD, United States, Kayo Ide, University of Maryland, College Park, MD, United States, Narges Shahroudi, CCNY, New York, NY, United States, Tong Zhu, IMSG, Inc., at National Oceanic and Atmospheric Administration (NOAA), College Park MD, United States, Ross N Hoffman, Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States, Robert M Atlas, NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States and Flavio Iturbide-Sanchez, NOAA College Park, College Park, United States
Regional Ocean Data Assimilation Using the Local Ensemble Transform Kalman Filter (LETKF) with the Navy Coastal Ocean Model (409439)
Clark David Rowley, Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, Patrick J Hogan, US Naval Research Laboratory, Oceanography Division, Stennis Space Center, MS, United States, Stephen Gregory Penny, NOAA Boulder, Boulder, MD, United States, Prasad G Thoppil, US Naval Research Laboratory, Ocean Sciences Division, Washington, DC, United States and Ole Martin Smedstad, Perspecta, Stennis Space Center, MS, United States
The Data Assimilation Research Testbed (DART): Ensemble Data Assimilation for NCAR Community Earth System Models (438009)
Jeffrey L Anderson1, Moha Gharamti2, Nancy Collins3, Andrew M Fox4, Soyoung Ha5, Jonathan Hendricks2, Timothy J Hoar6, Jingjing Liang7, James L McCreight1, Arthur P Mizzi8, Nicholas M Pedatella9, Kevin Raeder2, Arezoo Rafieeinasab1, Jadwiga Richter10, Christopher Riedel11, Glen S Romine12 and Joseph J Tribbia3, (1)University Corporation for Atmospheric Research, Boulder, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)NCAR, Boulder, CO, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States, (5)NCAR, Boulder, United States, (6)Natl Ctr Atmospheric Res, Boulder, CO, United States, (7)Institute of Atmospheric Physics, Chinese Academy of Sciences, CAS Key Laboratory of Regional Climate and Environment for Temperate East Asia, Beijing, China, (8)NCAR/MMM/FL2, NASA Ames Research Center/BAERI, Moffett Field, United States, (9)NSF National Center for Atmospheric Research, High Altitude Observatory, Boulder, United States, (10)U. S. National Science Foundation National Center for Atmospheric Research, Boulder, United States, (11)National Center for Atmospheric Research, Advanced Study Program, Boulder, United States, (12)NCAR/MMM, Boulder, CO, United States
Warming pattern of surface and air temperature over China during last five decades and its representation in the atmospheric reanalyses (464840)
Kaicun Wang, Beijing Normal University, Beijing, China
Effect of data assimilation by WRF-3DVAR for heavy fog prediction during the spring of 2016 in the Korean Peninsula (345225)
Sang-Keun Song, Hyeong-Sik Park, Seung Beom Han and Seongbin Cho, Jeju National University, Jeju, South Korea
Parameter Optimization for Real World ENSO Forecastin an Intermediate Coupled Model (346170)
Yuchu Zhao, Peking University, Beijing, China, Zhengyu Liu, Ohio State University Main Campus, Columbus, OH, United States and Fei Zheng, Institute of Atmospheric Physics, Beijing, China
AOD Recovery from Terra/Aqua MODIS Scanning Gaps Using NDVI-based Weighted Linear Regression (347259)
Zhongmin Zhu, Wuchang Shouyi University, College of Information Science and Engineering, Wuhan, China, Tianhao Zhang, University of California Los Angeles, Joint Institute for Regional Earth System Science and Engineerin, Los Angeles, United States and Wei Gong, Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China
A comparison of WRF-based 3DVAR, the ensemble Kalman filter (EnKF), and E3DVAR over East Asia for one-month period (350951)
Eun-Gyeong Yang1, Hyun Mee Kim1 and Fuqing Zhang2, (1)Yonsei University, Seoul, South Korea, (2)The Pennsylvania State Unviersity, University Park, PA, United States
GSI-NLS4DVar Data Assimilation System: Observation System Simulation Experiments (366809)
Hongqin Zhang, Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing, China and Xiangjun Tian, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Application of Improved NLS-4DVar in Assimilating Radar Data with Advanced research WRF (ARW) (366833)
Lu Zhang1, Xiangjun Tian1 and Hongqin Zhang2, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing, China
Nonlinear Least Squares En4DVar to 4DEnVar Methods for Data Assimilation: Formulation, Analysis and Preliminary Evaluation (366927)
Xiangjun Tian, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Assimilation of C-band Backscatter in a Physical Land Surface Model over Agricultural Area (368587)
Leqiang Sun, Environment and Climate Change Canada, Meteorological Research Division, Dorval, QC, Canada, Mohammed Dabboor, Environment and Climate Change Canada, Dorval, Canada, Stéphane Bélair, Environment and Climate Change Canada, Atmospheric Numerical Prediction Research Section, Dorval, QC, Canada, Marco L Carrera, Environment and Climate Change Canada, Dorval, QC, Canada and Amine Merzouki, Agriculture & Agri Food Canada, Ottawa, ON, Canada
A New Machine Learning Approach for NWP Data Assimilation (375491)
Milton Halem, University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States and Harsh Vashistha, University of Maryland Baltimore County, CSEE, Baltimore, MD, United States
Simulated Weather Imagery: a Fast 3D Visible Light Radiative Transfer Package (376171)
Steven C Albers, Cooperative Institute for Research in the Atmosphere, Retired, Fort Collins, United States
A New Downscaling-integration Framework for High-resolution Monthly Precipitation Estimates: Combining Rain gauge Observations, Satellite-derived Precipitation Data and Geographical Ancillary Data (377599)
Yuanyuan Chen1, Huang Jingfeng1, Shaoxue Sheng2, Lamin R. Mansaray3, Zhixiong Liu4, Hongyan Wu5 and Xiuzhen Wang6, (1)Zhejiang University, Hangzhou, China, (2)Anhui Meteorological Information Centre, Hefei, China, (3)Sierra Leone Agricultural Research Institute (SLARI), Tower Hill, Sierra Leone, (4)Wuhan Regional Climate Centre, Wuhan, China, (5)Jiangsu Meteorological Bureau, Nanjing, China, (6)Hangzhou Normal University, Hangzhou, China
Ensemble Kalman Filter Assimilation of All-Sky Microwave and Infrared Brightness Temperatures for Improved Regional-Scale Tropical Cyclone Analyses and Forecasts (379087)
Scott Buku Sieron, Pennsylvania State University Main Campus, University Park, PA, United States, Fuqing Zhang, Penn State University, University Park, PA, United States, Eugene Edmund Clothiaux, Penn State, Meteorology and Atmospheric Science, University Park, United States and Yinghui Lu, Pennsylvania State University Main Campus, University Park, United States
Impact of Background Error Statistics on Variational Assimilation Systems (382736)
Thiruvengadam Padmanabhan1, J. Indu2 and Subimal Ghosh1, (1)Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India, (2)Indian Institute of Technology Bombay, Civil Engineering, Mumbai, India
Implications of Diurnal Variations in Land Surface Temperature to Data Assimilation Using MODIS LST Data (385689)
Shiwen FU, Center for Earth System Science, Tsinghua University, Beijing, China
Applying Data Assimilation Method to Wind Simulation for Wind Energy Prediction (388254)
Wenqing Xu Jr, Tsinghua University, Beijing, China
Optimal utilization of Wind Profiler Radar for Convective Scale Model at KMA (388346)
Yoon-Jeong Hwang1, Seiyoung PARK2, Seungwoo Lee2 and Yonghee Lee3, (1)KMA Korea Meteorlogical Administration, NMC, Seoul, Korea, Republic of (South), (2)KMA Korea Meteorlogical Administration, NMC, Seoul, South Korea, (3)Korea Meteorological Administration (KMA), Daejeon, South Korea
A Study on the Observational Bias Correction of Aircraft Data in the Convective Scale Model at KMA (389120)
Dayoung Choi1, Yoon-Jeong Hwang1, Seungwoo Lee2 and Yonghee Lee3, (1)KMA Korea Meteorlogical Administration, NMC, Seoul, Korea, Republic of (South), (2)KMA Korea Meteorlogical Administration, NMC, Seoul, South Korea, (3)Korea Meteorological Administration (KMA), Daejeon, South Korea
Potential Benefit of Extra Radiosonde Observations around the Chukchi Sea for the Alaskan Short-range Weather Forecast (395511)
Joo-Hong Kim, Korea Polar Research Institute, Division of Atmospheric Sciences, Incheon, South Korea, Min-Hee Lee, Korea Polar Research Institute, Incheon, South Korea, Hyo-Jong Song, KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, South Korea, Jun Inoue, National Institute of Polar Research, Tachikawa, Japan, Kazutoshi Sato, Organization Not Listed, Washington, DC, United States and Akira Yamazaki, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan
Correlation-Cutoff Method for Covariance Localization in Strongly Coupled Data Assimilation (399984)
Takuma Yoshida, Japan Meteorological Agency, Tokyo, Japan and Eugenia Kalnay, University of Maryland College Park, Department of Atmospheric and Oceanic Science, College Park, MD, United States

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