_____________________________________________________________________________________________________ *Corresponding author: E-mail: ujwala.aeco@gmail.com; International Journal of Environment and Climate Change 11(10): 67-78, 2021; Article no.IJECC.75327 ISSN: 2581-8627 (Past name: British Journal of Environment & Climate Change, Past ISSN: 2231–4784) Trend Analysis of Temperature and Rainfall across Agro Climatic Zones of Karnataka-A Semi Arid State in India Seedari Ujwala Rani 1* , Naveen P. Singh 2 , Pramod Kumar 1 , Rabindra Nath Padaria 3 and Ranjit Kumar Paul 4 1 Division of Agricultural Economics, Indian Agricultural Research Institute, New Delhi, India. 2 National Institute of Agricultural Economics and Policy Research, New Delhi, India. 3 Division of Agricultural Extension, Indian Agricultural Research Institute, New Delhi, India. 4 Indian Agricultural Statistical Research Institute, New Delhi, India. Authors’ contributions This work was carried out in collaboration among all authors. All authors read and approved the final manuscript. Article Information DOI: 10.9734/IJECC/2021/v11i1030494 Editor(s): (1) Dr. Gamal Abdel-Hafez Mahmoud Bekhet, King Faisal University, Saudi Arabia. Reviewers: (1) Kartikey Sahil, Dr Yashwant Singh Parmar University of Horticulture and Forestry, India. (2) Brian J. Gareau, Boston College, USA. Complete Peer review History: https://www.sdiarticle4.com/review-history/75327 Received 11 August 2021 Accepted 21 October 2021 Published 25 October 2021 ABSTRACT The study was carried out for ten Agro climatic zones in Karnataka state in India. The temperature and rainfall data were used for analysis from 1979-2019 which is about 40 years. Understanding spatiotemporal rainfall pattern, Rainfall Anomaly Index which is drought indicator technique was used to classify the positive and negative severities in rainfall anomalies. The RAI ranges below 0.2 are considered as dry zone. The analysis resulted that, all zones are falls in category of dry zone with range of 0.2 to 0.4. For past five years, North Eastern Transition Zone was noted maximum times falling in the range of RAI below 0.2 and near to zero. Statistical techniques like linear trend estimation, R square was used for trend estimation across annual, seasonal to identify the variation in the temperature across different zones. The meaningful statistically significant achieves when there is r 2 ≥0.65 and p≤0.05. It was analysed that, hilly Zone experienced decreased trend in both minimum and maximum temperature in all seasons which ultimately reflected in annual temperature to decrease with high R square values. Original Research Article