Spatial and Time Warping for Gauge Adjustment of Rainfall Estimates

Many satellite-based estimates use gauge information for bias correction. In general, bias-correction methods are focused on the intensity error and do not explicitly correct possible position or timing errors. However, errors in rainfall can also lead to occurrence intensity. This is especially true localized events such as convective rainstorms occurring during rainy season sub-Saharan Africa. We investigated of warping The goal was gauge-adjust with respect rain event, instead its Warping a field-deformation method that transforms an image into another one. compared two methods, spatial focusing time They were evaluated case studies: synthetic event represented by ellipse southern Ghana monsoon season. both cases, reduced significantly respective targeted (position timing) case, average decreased about 45 km from more than 1 h 0.2 warping. Both improved continuous statistics intensity: correlation went 0.18 at least 0.62 after case. seems interesting because positive impact