Climate change has been identified as a major challenge of rainfed agriculture. To contextualize whether there is climate change footprint, identification of rainfall and temperature trend at regional and local scale is helpful for designing long-term adaptation and mitigation strategies. The present study therefore aims to assess evidences of climate change presences in terms of, climate variability and trend in the wettest parts of Southwest Ethiopia. Daily and monthly historical gridded rainfall and temperature data (1983-2016) of ten stations were provided by Ethiopian National Metrological Agency. Moreover, long years historical recorded climate data of Nekemte and Bedele (1971-2020) and Sekoru (1981-2020) were used in the present study. Coefficient of variation, The Mann-Kendall non-parametric statistical test and Sen’s slope estimator, linear regression analysis and the precipitation concentration index were applied to detect the presence of climate change in the wettest parts of Ethiopia. In this study, the trend package of open R software is employed for trend identification and rate of change per year. The results indicate that the annual rainfall has declining trend at five stations with statistically significant at one station while the mean maximum and minimum temperature shows a statistically significant increasing trend at eight and six stations, respectively. At a seasonal scale, the amount of rainfall in the main rainy season (June to August) is dominated by a downward trend (eight out of ten stations) while, the autumn season (September to November) shows an increasing trend in all stations with statistically significant at one station. The precipitation concentration index analysis revealed that inconsistent and significantly irregular precipitation is observed at six stations (60%) of the ten stations. This study concludes that the climate of the wettest parts of Ethiopia is getting warmer and the amount of rainfall in the main rainy season has declined in the vast majority of the study area.

气候变化已被确定为雨养农业的主要挑战。为了确定是否存在气候变化足迹，识别区域和地方尺度的降雨和温度趋势有助于设计长期适应和缓解策略。因此，本研究旨在评估埃塞俄比亚西南部最潮湿地区气候变化和趋势方面存在气候变化的证据。埃塞俄比亚国家计量局提供了十个站点的每日和每月历史网格降雨和温度数据（1983-2016）。此外，本研究使用了 Nekemte 和 Bedele (1971-2020) 和 Sekoru (1981-2020) 的多年历史记录气候数据。变异系数，Mann-Kendall 非参数统计检验和 Sen 斜率估计，应用线性回归分析和降水浓度指数检测埃塞俄比亚最潮湿地区是否存在气候变化。在本研究中，使用开放 R 软件的趋势包进行趋势识别和每年的变化率。结果表明，5个站点的年降雨量呈下降趋势，其中一个站点有统计学意义，而平均最高和最低温度分别在8个和6个站点呈现出统计学显着的上升趋势。在季节性尺度上，主要雨季（6-8月）降水量以下降趋势为主（十个站中有八个），而秋季（9-11月）各站降水量均呈增加趋势。单站统计显着。降水浓度指数分析表明，在十个站点中的六个站点（60%）观测到不一致和明显不规则的降水。本研究得出结论，埃塞俄比亚最湿润地区的气候正在变暖，绝大多数研究区域的主要雨季降雨量有所下降。