The impacts of data error and model resolution on the result of variational data assimilation
- Univ. of Oklahoma, Norman, OK (United States)
The representativeness and accuracy of the measurements or estimates of the lateral boundary fluxes and surface fluxes are crucial for the single-column model and budget studies of climatic variables over Atmospheric Radiation Measurement (ARM) sites. Since the direct measurements of these fluxes have limited resolution, it is desirable to use high-resolution Doppler-radar data to retrieve the three-dimensional wind and temperature fields and improve the representativeness and accuracy of the estimated fluxes. To this end, a number of techniques of variational data assimilation (VDA) are currently being developed. This paper is intended to address the following specific issues: How is the retrieval error affected by the observational error? Could the observational error cause a bias in the retrieval? Does the retrieval error depend on the model grid resolution and how?
- Research Organization:
- USDOE Office of Energy Research, Washington, DC (United States). Environmental Sciences Div.
- OSTI ID:
- 83214
- Report Number(s):
- CONF-940277-; ON: DE95009951; CNN: Contract NA90-RAH00078; Contract 144880-A-Q1; TRN: 95:003626-0075
- Resource Relation:
- Conference: Atmospheric radiation measurement science team meeting, Charleston, SC (United States), 28 Feb - 3 Mar 1994; Other Information: PBD: Apr 1995; Related Information: Is Part Of Proceedings of the Fourth Atmospheric Radiation Measurement (ARM) Science Team Meeting; PB: 373 p.
- Country of Publication:
- United States
- Language:
- English
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