Water · 2016 · 40 citations · 30 references
Cubic SplineCalculation MethodEngineeringGeomorphologyHydrologic EngineeringTipping-bucket Rain GaugeEarth SciencePrecipitationPrecipitation ProcessesCalibrationCubic Spline InterpolationMeteorological MeasurementHydrometeorologyMeteorologySurface RunoffGeographyRadiation MeasurementAbsolute Percent BiasRadiometryHydrologyAndean Mountain GradientWater BalanceClimatologyDroughtSurface-water HydrologyRemote Sensing
A laser-optical disdrometer served as reference to assess the absolute percent bias of calculated rainfall intensity using the data of different-resolution tipping-bucket rain gauges classically applied by climatologists and hydrologists in the Andean region. Additionally, the impact of the calculation method (tip counting versus cubic spline interpolation) was examined. The combined effect was assessed for different rainfall intensity classes (0–0.99, 1–1.99, 2–4.99, and 5–10 mm·h−1) and timescales (5, 10, 30, and 60 min). Additionally, the variation in percent absolute bias of the Davis rain gauge, the collector most widely used in the study region, was defined with respect to the Texas rain gauge along an elevation gradient between 3300 and 4000 m a.s.l. Results reveal that the value of the percent absolute bias is largest for small rainfall intensities (≤2 mm·h−1) and short timescales (≤10 min), and decreases when the cubic spline interpolation is used. No relation was found between the error, the elevation, and rainfall depth along the gradient. Based on the research findings, it is recommended to measure precipitation in the high Andean mountain region with a high-resolution sensor and to consider cubic spline for the computation of intensities.
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Jhan Carlo Espinoza, Josyane Ronchail, Jean‐Loup Guyot et al. · International Journal of Climatology · 2008 · 571 citations · Full text
Human impact on the hydrology of the Andean páramos
Wouter Buytaert, Rolando Célleri, Bert De Bièvre et al. · Earth-Science Reviews · 2006 · 536 citations