This book is a compilation of papers contributed by researchers and scientists from SAARC nations and deals with high-impact weather conditions, their prediction and potential consequences for populations in the SAARC region. There have been a number of recent advances in our understanding and prediction of cyclones, severe thunderstorms, squalls, heat and cold waves, droughts and heavy rainfall, based on the latest observational data and NWP modeling platform. The SAARC region is vulnerable to high-impact weather events because of geophysical features like high mountains, plateaus and vast oceans. As our climate continues to change over the coming years, the likelihood of extreme and potentially high-impact weather and climate events will be at its highest when natural and anthropogenic effects combine. All chapters were written by leading experts in their respective research and operational fields. The book reviews the latest research, future needs, forecasting skills and societal impacts of extreme weather events and offers high-quality reference material for weather forecasters, disaster managers and researchers.

The global food security and sustainable agriculture are the key challenges before the scientific community in the present era of enhanced climate variability, rapidly rising population and dwindling resources. No part of the world is immune from meteorological extremes of one sort or another posing threat to the food security. Agrometeorology has to make most efficient use of the opportunities available in achieving the objectives of enhancing productivity and maintenance of sustainability. Increased awareness and technological advancement have provided opportunities to develop efficient agrometeorological services that can help cope with risks. These include improvements in weather forecasting, better understanding of the monsoon variability and crop-weather relationships, advances in operational agrometeorology and agrometeorological information systems, adaptation strategies to climate change and improved risk evaluation and management. This book based on an International Workshop held in New Delhi, India should be of interest to all organizations and agencies interested in agrometeorological applications.

The historical productivity data at block level contained aggregated from various land use forms viz., upland, lowland and medium land situations. As such, it has been difficult to assess the exact influence of climatic parameters alone on productivity of the entire block, as the situations under lowland may be quite different compared to upland and medium land situations. Similar work at micro (block) level for other rainfed production systems can be useful in planning management strategies for enhancing productivity. The model underestimated the yield during 1989 for Derabasi and Rajanagar stations in Orissa and overestimated for other station for all the years of data recorded under high yield and low yield scenarios. There is a good agreement between the simulated and observed values for all the years of study in all the states selected for the study. The low yield in different state is attributed to the fairly high temperature during the reproductive stages. This indicated that the model output was significant for these stations also. Therefore, the model is able to predict the values of dry matter and yield for various blocks of Orissa state with good accuracy.