Mesoscale representativeness of rainfall measurements for Winnipeg
Open Access
- 1 September 1987
- journal article
- research article
- Published by Taylor & Francis in Atmosphere-Ocean
- Vol. 25 (3) , 267-278
- https://doi.org/10.1080/07055900.1987.9649275
Abstract
For a variety of applications, rainfall measurements from the AES (Atmospheric Environment Service) weather observing site in Winnipeg are extrapolated to ungauged points ‐ locations where the information is desired but not measured. Sometimes, they are used as the area‐average for the city. This study examined the spatial representativeness of point rainfall measurements for Winnipeg for two accumulation periods ‐ one day and one month. Eight to nine years of data from a mesoscale network were used to specify isotropic exponential correlation functions and typical coefficients of variation. Taken together, they suggest: (a) probable errors for amounts extrapolated over distances of 10 to 32 km of ± 126 to 165% for estimates of daily rainfalls and ±36 to 48% for estimates of monthly accumulations, and (b) probable errors for area‐average amounts with station densities of 1 per 54 km2 to 1 per 707 km2 of 21 to 85% for estimates of daily values and 6 to 24% for estimates of monthly totals. The practice of using data from a single point observation site, the AES site, to approximate Winnipeg's monthly area‐average rainfalls may provide estimates with tolerable errors. However, basing daily area‐average rainfall estimates on data from just one observation site will likely result in large errors and this practice should be avoided. Extrapolating either daily or monthly point measurements over 10 km or more from the AES site to ungauged points should also be avoided owing to the high probability of unacceptably large estimation errors.Keywords
This publication has 7 references indexed in Scilit:
- An assessment of the near real‐time rainfall network on Canada's eastern PrairiesAtmosphere-Ocean, 1984
- Raingauge network reductionJournal of Hydrology, 1982
- Spatial Correlations of Monthly Rainfall: Applications in Climatology and Weather Modification ExperimentsJournal of Applied Meteorology, 1979
- Extending Estimation Accuracy with Anisotropic InterpolationMonthly Weather Review, 1977
- Spatial Correlations of Storm, Monthly and Seasonal PrecipitationJournal of Applied Meteorology, 1969
- A Technique for Maximizing Details in Numerical Weather Map AnalysisJournal of Applied Meteorology, 1964
- Comparison between standard and small orifice raingagesEOS, Transactions American Geophysical Union, 1955