Rainfall forecasting using variational assimilation of radardata in numerical cloud models

Advances in Water Resources

Volumn 24, Issue 2, 2000, Pages 213-224

  Grecu, Mircea ^a   Krajewski, Witold F ^a  

^a IA United States   (United States)

Author keywords

Cloud models; Data assimilation; Rainfall forecasing; Variational methods

Indexed keywords

ATMOSPHERIC MODELING; DATA ASSIMILATION; RADAR; RAINFALL; WEATHER FORECASTING;

CLOUDS; MATHEMATICAL MODELS; METEOROLOGICAL RADAR; OPTIMIZATION; VARIATIONAL TECHNIQUES; WEATHER FORECASTING;

DATA ASSIMILATION;

RAIN;

EID: 0034483026     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0309-1708(00)00046-4     Document Type: Article

References (22)

1. Treatment of on/off switches in the adjoint method: FDDA experiments with a simple model
2. Development of a four-dimensional variational analysis system using the adjoint method at GLA. 1. Dynamics
3. On the estimation of radar rainfall error variance
4. Recipes for adjoint code construction
5. Simulation study of the effects of model uncertainty in variational assimilation of radar data on rainfall forecasting
6. On the distribution and continuity of water substance in atmospheric circulations
7. A description of the initial set of analysis products available from the NEXRAD WSR-88D system
8. A modified finite element model for mesoscale flows over complex terrain
9. On the limited memory BFGS method for large-scale optimization
10. Numerical simulation of the life cycle of a thunderstorm cell
11. Wind and thermodynamic retrieval from single-doppler measurements of a gust front observed during PHOENIX-II
12. Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. I. Model development and simulated data experiments
13. Parallel algorithms for variational data assimilation and coupling models
14. Fitting microphysical of non-steady convective clouds to a numerical model: An application of the adjoint technique of data assimilation to a kinematic model
15. The pressure perturbation and the numerical modeling of a cloud