The weather data of 30 years (1981 to 2010) recorded at Tadong meteorological station located in the mid-hill location of Sikkim was analyzed. The average annual rainfall of 30 years at Tadong was

3097.78 mm, spread over in 156.90 rainy days/year. In the past 30 years, the number of rainy days has increased at the rate of 0.5 days per decade and mean annual rainfall has increased at the rate of 41.46 mm per decade. However, if weather data of last two decades (1991-2000 to 2001-10) alone was taken into account, the number of rainy days as well as the annual rainfall at Tadong has decreased at the rate of 0.72 days/year and 17.77 mm/year, respectively. The mean minimum, mean maximum and average temperature at Tadong was

13.99 oC, 23.29 oC and 18.64 oC, respectively. The difference between mean minimum and mean maximum temperature across months was 9.30±1.35 oC. The mean maximum temperature did not exhibit any significant departure from long term average but the mean minimum temperature have increased 1.95 oC in 30 years from 1981-2010 (or 0.06 oC increase/year). Further, the rate of increase in the mean minimum temperature between the decade 1991-2000 to 2001-10 was greater ie 0.81 oC/decade or 0.08 oC increase/year. The year 1986, 1988, 1989, 2006 and 2009 had experienced low precipitation (< 2751.62 mm) hence classified as drought years. The years 1990, 1995, 1996 and 2003 received high rainfall ie≥ 3443.94 mm (μ 3097.78+ σ 346.16 mm) hence classified as abnormal year. The remaining 21 years ie 1981, 1982, 1983, 1984, 1985, 1987, 1991, 1992, 1993, 1994, 1997, 1998, 1999, 2000, 2001, 2002, 2004, 2005, 2007, 2008 and 2010 were normal years. The mean minimum, maximum and average relative humidity (RH) at Tadong was 51.91%, 86.04% and 70.98%, respectively. The difference between the mean maximum and mean minimum RH was 30.13%. The mean duration of sunshine hours was 3.66 hrs/day. The duration of sunshine was low (< 15 hours/week) from 18th July to 5th August. Climate change is a global phenomenon. An understanding of the past weather phenomenon at the regional or local level would help researchers and planners to predict the possible impact of global warming on agriculture sector and also to plan measures to reduce the ill effects of warming. Some of the measures to reduce warming are discussed in this article.