Application of a snow particle counter to solid precipitation measurements under Arctic conditions

Sugiura, Komei; Ohata, Tetsuo; Yang, Daqing; Sato, Takeshi; Sato, Atsushi

doi:10.1016/j.coldregions.2009.03.010

Cited by 12 publications

(16 citation statements)

References 21 publications

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“…Accurate precipitation is important for better understanding the climate change and water cycle [1][2][3][4], and it is also a crucial component of hydrologic and climatologic models [4][5][6]. Currently, the precipitation is mainly measured by different kinds of rain gauges; however, it is generally recognized that the gauge-measured precipitation has systematic errors including wetting, evaporation losses, and wind-induced undercatch [7][8][9]. Especially the solid precipitation, the measurement errors frequently range from 20% to 50% due to undercatch in windy conditions [10].…”

Section: Introductionmentioning

confidence: 99%

Intercomparison of Solid Precipitation Derived from the Weighting Rain Gauge and Optical Instruments in the Interior Qinghai-Tibetan Plateau

Zhang

Zhao

Xie

et al. 2015

Advances in Meteorology

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Due to the light precipitation and strong wind in the cold season, it is hard to get credible solid precipitation on the Qinghai-Tibetan plateau (QTP). To address this issue, two kinds of optical instruments, the Thies Laser Precipitation Monitor (LPM) and OTT laser-optical Particle Size Velocity (Parsivel), were used on QTP. The measured precipitation was compared with the precipitation derived from Geonor T-200B precipitation gauge (Geonor). The results showed that Geonor was hard to catch light precipitation (precipitation amount was less than 1 mm during a single event) when the wind speeds were higher than 3.5 m/s. Even when the wind speeds were smaller than 3.5 m/s, about 44% of such light precipitation events were not recorded by Geonor. The optical instruments had much better performance in recording light precipitation. Three methods were used to correct Geonor measurements of daily solid precipitation and the corrected values were set as reference for assessing the performance of LPM and Parsivel; the results showed that LPM had good performance in measuring the solid precipitation but Parsivel overestimated the precipitation amount. Methods for correcting Geonor’s hourly solid precipitation and recalculating Parsivel’s solid precipitation amount were also proposed in this paper.

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Section: Introductionmentioning

confidence: 99%

Intercomparison of Solid Precipitation Derived from the Weighting Rain Gauge and Optical Instruments in the Interior Qinghai-Tibetan Plateau

Zhang

Zhao

Xie

et al. 2015

Advances in Meteorology

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“…If the measurement included "false precipitation" during blowing snow, the use of a bias correction would clearly magnify the forged precipitation. Unfortunately, information on blowing snow duration and intensity, critical to determining the blowing snow flux and its impact on gauge observations in cold regions, is mostly unavailable (Sugiura et al, 2006(Sugiura et al, , 2009. Because of the uncertainty in gauge performance during high-wind conditions, it is difficult to assess the impact of blowing snow.…”

Section: Effect Of Blowing Snow and High Windsmentioning

confidence: 99%

Bias corrections of precipitation measurements across experimental sites in different ecoclimatic regions of western Canada

Xiong

Yang

et al. 2016

The Cryosphere

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Abstract. This study assesses a filtering procedure on accumulating precipitation gauge measurements and quantifies the effects of bias corrections for wind-induced undercatch across four ecoclimatic regions in western Canada, including the permafrost regions of the subarctic, the Western Cordillera, the boreal forest, and the prairies. The bias corrections increased monthly precipitation by up to 163 % at windy sites with short vegetation and sometimes modified the seasonal precipitation regime, whereas the increases were less than 13 % at sites shielded by forest. On a yearly basis, the increase of total precipitation ranged from 8 to 20 mm (3-4 %) at sites shielded by vegetation and 60 to 384 mm (about 15-34 %) at open sites. In addition, the bias corrections altered the seasonal precipitation patterns at some windy sites with high snow percentage ( > 50 %). This study highlights the need for and importance of precipitation bias corrections at both research sites and operational networks for water balance assessment and the validation of global/regional climate-hydrology models.

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“…The SPCs are able to detect snow precipitations (Sugiura et al 2009) and to distinguish between drifting snow events with concurrent precipitation and without concurrent precipitation (Naaim-Bouvet et al 2014). The values of drifting snow flux quantification were first compared during a drifting snow event without precipitation.…”

Section: B Event Detectionmentioning

confidence: 99%

Evaluation of the FlowCapt Acoustic Sensor for the Aeolian Transport of Snow

Trouvilliez

Naaim-Bouvet

Bellot

et al. 2015

Journal of Atmospheric and Oceanic Technology

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FlowCapt acoustic sensors, designed for measuring the aeolian transport of snow fluxes, are compared to the snow particle counter S7optical sensor, considered herein as the reference. They were compared in the French Alps at the Lac Blanc Pass, where a bench test for the aeolian transport of snow was set up. The two existing generations of FlowCapt are compared. Both seem to be good detectors for the aeolian transport of snow, especially for transport events with a flux above 1 g m 22 s 21. The second-generation FlowCapt is also compared in terms of quantification. The aeolian snow mass fluxes and snow quantity transported recorded by the secondgeneration FlowCapt are close to the integrative snow particle counter S7 fluxes for an event without precipitation, but they are underestimated when an event with precipitation is considered. When the winter season is considered, for integrative snow particle counter S7 fluxes above 20 g m 22 s 21, the second-generation FlowCapt fluxes are underestimated, regardless of precipitation. In conclusion, both generations of FlowCapt can be used as a drifting snow detector and the second generation can record an underestimation of the quantity of snow transported at one location: over the winter season, the quantity of snow transported recorded by the SPC is between 4 and 6 times greater than the quantity recorded by the second-generation FlowCapt.

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Application of a snow particle counter to solid precipitation measurements under Arctic conditions

Cited by 12 publications

References 21 publications

Intercomparison of Solid Precipitation Derived from the Weighting Rain Gauge and Optical Instruments in the Interior Qinghai-Tibetan Plateau

Intercomparison of Solid Precipitation Derived from the Weighting Rain Gauge and Optical Instruments in the Interior Qinghai-Tibetan Plateau

Bias corrections of precipitation measurements across experimental sites in different ecoclimatic regions of western Canada

Evaluation of the FlowCapt Acoustic Sensor for the Aeolian Transport of Snow

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