Mesoscale Variational Assimilation of Profiling Radiometer Data
نویسندگان
چکیده
Retrieved profiles of temperature, water vapor, and cloud liquid water are obtained through neural net inversions of the brightness temperatures, where the neural net is trained using radiosonde soundings and corresponding forward modeled brightness temperatures. An observation operator has also been developed for the direct assimilation of the measured brightness temperatures, using the forward model and its adjoint.
منابع مشابه
21st Conference on Weather Analysis and Forecasting/17th Conference on Numerical Weather Prediction 15B.7 A SEQUENTIAL VARIATIONAL ANALYSIS APPROACH FOR MESOSCALE DATA ASSIMILATION
A Space and Time Mesoscale Analysis System (STMAS) has been developed at Forecast Systems Laboratory (FSL) to generate a gridded analysis of surface observations. It is a three-dimensional variational analysis (3DVAR) of horizontal space and time instead of pressure or height levels. It is used to detect boundary layer phenomena, frontal zones, and various nonlinear phenomena, and has been used...
متن کاملAssimilation of Dial Data in Mesoscale Models: an Impact Study during Ihop_2002
DIAL methodology is analyzed for developing a forward observation operator and an error covariance matrix for 4-d variational assimilation of water vapor data into mesoscale models. The operator is applied to data of the LASE system which were collected during the IHOP_2002 campaign. The assimilation effort will be performed using the MM5 model nested into an ECMWF analysis. The goal of this pr...
متن کامل4D-Var Data Assimilation for Navy Mesoscale NWP
The long-term goal of this Rapic Transition Process (RTP) project is to provide the warfighter with superior battlespace environmental awareness in terms of high fidelity four-dimensional (4D) depiction of the regional/mesoscale atmospheric states. This situational awareness is a key aspect of information superiority in the DoD’s strategic plan to ensure battlespace dominance in the 21st centur...
متن کامل13: 4D-Var Data Assimilation for Navy Mesoscale NWP
The long-term goal of this Rapic Transition Process (RTP) project is to provide the warfighter with superior battlespace environmental awareness in terms of high fidelity four-dimensional (4D) depiction of the regional/mesoscale atmospheric states. This situational awareness is a key aspect of information superiority in the DoD’s strategic plan to ensure battlespace dominance in the 21st centur...
متن کاملThree-Dimensional Variational Data Assimilation of Ground-Based GPS ZTD and Meteorological Observations during the 14 December 2001 Storm Event over the Western Mediterranean Sea
The impact of GPS Zenith Total Delay (ZTD) measurements on mesoscale weather forecasts is studied. GPS observations from a permanent European network are assimilated into the Penn State/NCAR Mesoscale Model (MM5) using its three-dimensional variational assimilation (3DVAR) system. The case study focuses on a snow storm that occurred during the period of 14-15 December 2001 over the western Medi...
متن کامل