Assessing climate change and health provisions among staff in higher education institutions: A preliminary investigation.

Climate change can have direct and indirect effects on human health. Direct effects can include an increase in extreme weather events, such as heatwaves and floods, as well as an increase in the spread of vector-borne and infectious diseases, which may lead to a set of health problems and diseases. Indirect effects can include changes in air quality, water availability, and food production and distribution. These changes can lead to an increase in respiratory problems, malnutrition, and increased food insecurity. There is a perceived need to investigate the extent to which Higher Education Institutions (HEIs) are engaged in efforts to foster a greater understanding of the connections between climate change and health. In this context, this preliminary investigation offers an overview of the relationships between climate change and health. By means of a survey among teaching staff and researchers at HEIs from 42 countries across all continents working on the connection between climate change and health. The study has investigated the extent to which current provisions for education and training on the connection between climate change and health are being considered and how current needs in terms of policy development, research, and training are being met. A series of case studies illustrate how universities worldwide are actively developing strategies and implementing measures to address climate change and health. The study concludes by providing specific recommendations aimed at facilitating the handling of issues related to climate change and health in a higher education context.

A new perspective in understanding rainfall from satellites over a complex topographic region of India.

Present study focuses on rainfall over Western Ghats (WG), a complex topographic region (elevation > 500 m) of India to evaluate and to better understand the satellite behavior in contrast with a flat region (FR) (elevation < 500 m) of central India from 1998 to 2016 using the combinatory data sets of TMPA and IMERG (satellite rainfall estimation). The categorical Intra Seasonal Oscillations (ISO) of Indian summer monsoon (ISM) namely, Madden Julian Oscillation (MJO) and Quasi Bi-Weekly Oscillation (QBWO) are tested in satellite and India Meteorological Department (IMD) gridded rainfall data sets to find out the satellite performance. As the accurate estimation of rainfall from satellites over higher elevation zones is challenging, here we propose a new perspective to select the rainfall products of satellite for better comparison with ground measurements. Considering the satellite's best capability in detecting the cold clouds resulting from deep convection and its coupling with higher-level circulation, we show that the rainfall from satellites yield fruitful comparison with ground measurements when moist static stability, tropical easterly jet is above the climatological values.

Vulnerability of Indian wheat against rising temperature and aerosols.

Potential impacts of change in climate on Indian agriculture may be significantly adverse, if not disastrous. There are projections of potential loss in wheat yield due to the rise in daily minimum (Tmin) and maximum (Tmax) temperature, but only few researchers have considered the extent of such loss on a spatial scale. We therefore, systematically studied the effect of change in Tmax, Tmean (daily average temperature) and Tmin, solar radiation (Srad) and precipitation (RAIN) during wheat growing seasons (from 1986 to 2015) on wheat crop yield over five wheat growing zones across India, taking into account the effect modification by aerosol loading (in terms of aerosol optical depth, 2001-2015). We note that for the entire India, 1 °C rise in Tmean resulted a 7% decrease in wheat yield which varied disproportionately across the crop growing zones by a range of -9% (peninsular zone, PZ) to 4% (northern hills zone, NHZ). The effect of Tmean on wheat yield was identical to the marginal effect of Tmax and Tmin, while 1% increase in Srad enhance wheat yield by 4% for all India with small geographical variations (2-5%), except for the northern hill region (-4%). Rise in 1 °C Tmean exclusively during grain filling duration was noted positive for all the wheat growing regions (0-2%) except over central plain zone (-3%). When estimates of weather variables on wheat yield was combined with the estimated impact of aerosols on weather, the most significant impact was noted over the NHZ (-23%), which otherwise varied from -7% to -4%. Overall, the study brings out the conclusive evidence of negative impact of rising temperature on wheat yield across India, which we found spatially inconsistent and highly uncertain when integrated with the compounding effect of aerosols loading.