1974
DOI: 10.1029/wr010i004p00857
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Accuracy of precipitation measurements for hydrologic modeling

Abstract: The use of precipitation data as input for conceptual hydrologic models has enhanced the need for measurements more representative of 'true' precipitation. Precipitation input to continuous watershed models is generally some form of mean basin precipitation estimate based on point measurements. Each point measurement can have large catch deficiencies due to wind, especially for solid precipitation. A brief review is made of past results from studies concerned with these deficiencies. New curves based on curren… Show more

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Cited by 240 publications
(166 citation statements)
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“…Second, the 3.3 km grid was not fine enough to resolve micro-scale convective clouds and narrow snow band (Murakami et al 2003); thus, water that should be precipitated from small cumulus over the lowlands on the Sea of Japan side of the study area would be modeled as falling in the mountainous area. Third, under-recording of precipitation by rain gauges is much higher for snow than for rain, and increases with increasing wind speed even when there is a wind shield installed (Larson and Peck 1974). Thus, precipitation recorded under windy conditions may have been erroneously low.…”
Section: Model Validation For Precipitation In the Cold Seasonmentioning
confidence: 99%
“…Second, the 3.3 km grid was not fine enough to resolve micro-scale convective clouds and narrow snow band (Murakami et al 2003); thus, water that should be precipitated from small cumulus over the lowlands on the Sea of Japan side of the study area would be modeled as falling in the mountainous area. Third, under-recording of precipitation by rain gauges is much higher for snow than for rain, and increases with increasing wind speed even when there is a wind shield installed (Larson and Peck 1974). Thus, precipitation recorded under windy conditions may have been erroneously low.…”
Section: Model Validation For Precipitation In the Cold Seasonmentioning
confidence: 99%
“…Inaccuracies in precipitation data are often cited as serious impediments to successful hydrological modelling (e.g., Larson and Peck, 1974;Yang et al, 2004). In addition to typically systematic instrument error, in-situ observations of liquid and especially solid precipitation can be negatively affected by deflection of particles by the wind, though this problem can be mitigated through careful site selection (Larson and Peck, 1974). Precipitation observations in mountainous terrain can be influenced by icing or blowing snow, which can also introduce huge random errors in measurement (Lapin, 1990;Yang and Ohata, 2001).…”
Section: Uncertainty In Streamflow Model Outputmentioning
confidence: 99%
“…Precipitation measurement error is greater for solid (snow) than for liquid precipitation (rain) (Larsen and Peck, 1974;Groisman and others, 1991;Yang and others, 1996). Corrections for precipitation type (liquid, mixed, and solid) are identified by air temperature associated with transitions in precipitation type.…”
Section: Precipitation Data Collection Methodsmentioning
confidence: 99%