Experience and Lessons Learned regarding Configuration and Control of an Advanced 4 Dimensional Variational Satellite Data Assimilation System P2.5
نویسندگان
چکیده
The Regional Atmospheric Modeling and Data Assimilation System (RAMDAS) is a 4 dimensional variational analysis (4DVAR) data assimilation algorithm (Zupanski et. al. 2004) developed at the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU). The current version of RAMDAS assimilates satellite observations from the Geostationary Operational Environmental Satellite (GOES) and assimilation of other satellite observations are in progress using the same generalized 4DVAR framework. These other satellite observations include the assimilation of the GOES sounder channels and WindSat microwave satellite data (Jones et. al., 2006).
منابع مشابه
Regionalization of the Iowa State University Extension System: Lessons Learned by Key Administrators
The cyclical economic downturn in the United States has forced many Extension administrators to rethink and adjust services and programming. The Cooperative Extension System (CES), the organization primarily responsible for governmental Extension work in the United States, at Iowa State University responded to this economic downturn by restructuring its organization from county based to a regio...
متن کاملPsychosocial Rehabilitation: Some Lessons Learned From Natural Disaster in Iran
Background: Disasters have adverse impacts on different aspects of human life. Psychosocial Rehabilitation is one of the fields which is usually overshadowed and ignored by physical rehabilitation or its importance does not receive proper attention. This research attempts to study some lessons learned from Psychosocial Rehabilitation based on disaster experiences in Iran. M...
متن کاملHospital Management in Infectious Disease Outbreak: Lessons Learned from COVID-19
Background: Biological events including epidemics, pandemics, emerging, and reemerging infectious diseases have significant adverse consequences on health. The hospitals have a major role in the management of outbreaks and mitigation of effects. During pandemics health systems especially, hospitals may be affected. Methods: Therefore, the current study aimed to collect and analyze lessons lea...
متن کاملA dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature
[1] To overcome the difficulties in determining the optimal parameters needed for a radiative transfer model (RTM), which acts as the observational operator in a land data assimilation system, we have designed a dual-pass assimilation (DP-En4DVar) framework to optimize the model state (volumetric soil moisture content) and model parameters simultaneously using the gridded Advanced Microwave Sca...
متن کاملGSI 3DVar-Based Ensemble–Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single-Resolution Experiments
An ensemble Kalman filter–variational hybrid data assimilation system based on the gridpoint statistical interpolation (GSI) three-dimensional variational data assimilation (3DVar) system was developed. The performance of the system was investigated using the National Centers for Environmental Prediction (NCEP) Global Forecast System model. Experiments covered a 6-week Northern Hemisphere winte...
متن کامل