On the application of optimum interpolation to the analysis of precipitation in complex terrain
| dc.contributor.author | Bhargava, Meenu | en_US |
| dc.date.accessioned | 2024-08-13T00:08:27Z | |
| dc.date.available | 2024-08-13T00:08:27Z | |
| dc.date.copyright | 1992 | en_US |
| dc.date.issued | 1992 | |
| dc.degree.department | Department of Computer Science | |
| dc.degree.level | Master of Science M.Sc. | en |
| dc.description.abstract | Optimum interpolation is a procedure that al lows the combination of observations with preliminary trial fields of the same quantities in order to produce an updated field in which the error variance is minimized. In this thesis, we describe an operational method to analyze observed precipitation amounts, based on optimum interpolation. Since the area. that we deal with is topographically complex, this factor has been included in the operational method. The trial fields are provided by a 3-climensional numerical weather prediction model. Our thesis presents an estimation of the covariances of observational and trial field errors. Two assumptions are made: 1. Trial field errors and observational errors are independent of each other, 2. Observational errors and the deviations of the trial field values from the observations are uncorrelated. The first assumption is customarily made in any application of optimum interpolation. The second assumption is specific to this thesis. These two statements together imply that observational errors are uncorrelated. A technique is derived to determine which observations influence a given grid point and their respective weights. The selection of influencing observations is clone by calculating the spatial dependence of T, the trial field error covariance. A cut-off point is determined on the smoothed curve where the T-value is a small fraction of the T-value at the origin. The procedure is applied to the heavy rainstorm of 11-13 July 1983 in the upper Columbia River watershed. Certain practical problems do arise in the implementation. The overlap of model day and climate day tends to introduce systematic errors within the observations. This result conflicts with our assumption that observational errors are uncorrelated. Additionally, the observing system is not designed to make allowance for topographical detail. Errors are thus introduced in the observations from a variety of sources. These are discussed in detail in the thesis. | en |
| dc.format.extent | 70 pages | |
| dc.identifier.uri | https://hdl.handle.net/1828/17243 | |
| dc.rights | Available to the World Wide Web | en_US |
| dc.subject | UN SDG 13: Climate Action | en |
| dc.title | On the application of optimum interpolation to the analysis of precipitation in complex terrain | en_US |
| dc.type | Thesis | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- BHARGAVA_Meenu_MSc_1992_540516.pdf
- Size:
- 1.59 MB
- Format:
- Adobe Portable Document Format