During the past five decades the agriculture sector in southwestern region of Bangladesh had undergone wide-ranging changes in terms of ownership of land, climate resilient agricultural technologies, climate resilient crop varieties, cropping patterns, cultivation practices, productivity, and intensity of cultivation. The main objectives of the study were to identify climate resilient cropping patterns which were adopted by the farmers and to explore relationship between the selected characteristics of the farmers and their extent of adoption of climate resilient cropping patterns. Data were collected from randomly selected 80 farmers of five villages of Dumuria upazila under Khulna district of Bangladesh, during January 13-25, 2022 by the researcher herself by using a structured interview schedule through face-to-face method. Among 4 climate resilient cropping patterns, highest extent of adoption was observed in case of Boro-Gher (vegetables)-Fallow (34.17%) while the lower extent of adoption was found in case of Fallow-Fallow-T. Aman (6.67%). Majority (58.8%) of the respondents showed medium adoption behaviour regarding climate resilient cropping patterns. Increasing cropping intensity (86.50%) was the main cause for adopting climate resilient cropping patterns while high yielding cropping pattern was the less important cause (56.75%) for adopting climate resilient cropping pattern. Saline soil (89.58%) followed by jow condition comes late (77.92%), problem of pest and diseases (76.25 %), unavailability of fresh irrigation water (72.5%) and lack of information about long term climate change (67.92%) are some of major factors hindered for adopting climate resilient technologies (cropping patterns). Among 13- selected characteristics of the respondent farmers, level of education, experience in adoption of resilient technology, farm size, annual family income, cosmopolitanism, innovativeness, extension contact, training exposure and knowledge was positively correlated with the adoption of climate resilient cropping pattern.