Search
Now showing items 1-10 of 58
Fitting a Cartesian Prediction Model to Radial Velocity Data from Single-Doppler Radar
Publisher: American Meteorological Society
Abstract: Previous experiments with the adjoint technique for determining the three-dimensional wind and thermodynamic fields from single-Doppler radar data have assumed that the radar observes one component of the velocity in ...
Initialization and Numerical Forecasting of a Supercell Storm Observed during STEPS
Publisher: American Meteorological Society
Abstract: The feasibility of initializing a numerical cloud model with single-Doppler observations and predicting the evolution of thunderstorms has been tested using an observed case of a supercell storm during the Severe Thunderstorm ...
For How Long Should What Data Be Assimilated for the Mesoscale Forecasting of Convection and Why? Part I: On the Propagation of Initial Condition Errors and Their Implications for Data Assimilation
Publisher: American Meteorological Society
Abstract: Data assimilation is used among other things to constrain the initial conditions of weather forecasting models by fitting the model fields to observations made over a certain time interval. In particular, it tries to tie ...
Wind and Thermodynamic Retrieval from Single-Doppler Measurements of a Gust Front Observed during Phoenix II
Publisher: American Meteorological Society
Abstract: The adjoint method to retrieve the three-dimensional wind and thermodynamic fields is applied to single-Doppler observations of a gust front measured during the Phoenix II experiment. This method uses a fluid dynamics model ...
A Velocity Dealiasing Technique Using Rapidly Updated Analysis from a Four-Dimensional Variational Doppler Radar Data Assimilation System
Publisher: American Meteorological Society
Abstract: A Doppler velocity dealiasing algorithm is developed within the storm-scale four-dimensional radar data assimilation system known as the Variational Doppler Radar Analysis System (VDRAS). The innovative aspect of the ...
Analysis and Prediction of a Squall Line Observed during IHOP Using Multiple WSR-88D Observations
Publisher: American Meteorological Society
Abstract: This paper presents a case study on the assimilation of observations from multiple Doppler radars of the Next Generation Weather Radar (NEXRAD) network. A squall-line case documented during the International H2O Project ...
Multiple-Radar Data Assimilation and Short-Range Quantitative Precipitation Forecasting of a Squall Line Observed during IHOP_2002
Publisher: American Meteorological Society
Abstract: The impact of multiple?Doppler radar data assimilation on quantitative precipitation forecasting (QPF) is examined in this study. The newly developed Weather Research and Forecasting (WRF) model Advanced Research WRF (ARW) ...
Radar Data Assimilation with WRF 4D-Var. Part II: Comparison with 3D-Var for a Squall Line over the U.S. Great Plains
Publisher: American Meteorological Society
Abstract: he Weather Research and Forecasting Model (WRF) four-dimensional variational data assimilation (4D-Var) system described in Part I of this study is compared with its corresponding three-dimensional variational data ...
Dynamical and Microphysical Retrieval from Doppler Radar Observations Using a Cloud Model and Its Adjoint. Part I: Model Development and Simulated Data Experiments
Publisher: American Meteorological Society
Abstract: The purpose of the research reported in this paper is to develop a variational data analysis system that can be used to assimilate data from one or more Doppler radars. In the first part of this two-part study, the technique ...
Dynamical and Microphysical Retrieval from Doppler Radar Observations Using a Cloud Model and Its Adjoint. Part II: Retrieval Experiments of an Observed Florida Convective Storm
Publisher: American Meteorological Society
Abstract: The variational Doppler radar analysis system developed in part I of this study is tested on a Florida airmass storm observed during the Convection and Precipitation/ Electrification Experiment. The 3D wind, temperature, ...