Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations

In recent years, the analysis of abrupt and non-abrupt changes in precipitation has received much attention due to importance climate change-related issues (e.g., extreme events). this study, we used a novel segmentation algorithm, DBEST (Detecting Breakpoints Estimating Segments Trend), analyze greatest using monthly pixel-based satellite dataset (TRMM 3B43) at three different scales: (i) global, (ii) continental, (iii) zone, during 1998–2019 period. We found significant breakpoints, 14.1%, both form changes, global scale 0.05 significance level. Most were observed near Equator Pacific Ocean Asian continent, relative rest globe. detected breakpoints occurred 1998–1999 2009–2011 periods on scale. The average change for breakpoint was ±100 mm, with some regions reaching ±3000 mm. For instance, most portions northern Africa Asia experienced major approximately +100 contrast, South Atlantic −100 mm studied Our findings indicated that larger areas (23.9%), (22.9%), Australia (15.4%) compared North America (11.6%), (9.3%), Europe (8.3%), Oceania (9.6%). Furthermore, majority arid (31.6%) polar (24.1%) zones, while least snow-covered (11.5%), equatorial (7.5%), warm temperate (7.7%) zones. Positive breakpoints’ temporal coverage (54.0%) (51.9%) climates more than those other Here, large (−250 +250 mm). Compared state (trend specific period), unpredictable, which might impose severe threat ecology, environment, natural resources.