The study findings show that LVEs promote a significantly enhanced phase-synchronization of the ENSO and IM oscillations, due to an increase in the angular frequency of ENSO. The results also shed innovative insights into the physical mechanism underlying the LVE-induced enhancement of ENSO-IM coupling and strengthen the prospects for improved seasonal monsoon predictions.
(M. Singh, R. Krishnan et al. Science Advances, September 2020, DOI: 10.1126/sciadv.aba8164
Against the backdrop of increasingly frequent extreme precipitation events and the increasing severity of tropical cyclones, it is time to evaluate current forecast systems and develop pathways for improving the accuracy and reliability of predicting these high impact weather events in a changing climate. Even though the existing forecast systems of India provides useful guidance in extended range (2~3 weeks) and short range forecast up to ~10 days, the skill of high resolution operational forecast system GFS for extreme rain is found tobe around 3~5 days. There is a need to enhance the forecast skill beyond ~7 days particularly for extreme events. Keeping these societal aspects in to account, the joint international workshop on “Prediction Skill of Extreme Precipitation Events and Tropical Cyclones: Present Status and Future Prospects (IP4), & Climate Change” was held during 25-28 November 2019 at the Indian Institute of Tropical Meteorology, Pune.
(Parthasarathi Mukhopadhyay, R. Krishnan et al. Bulletin of the American Meteorological Society, July 2020, DOI:10.1175/BAMS-D-20-0037.1)
A large increase in aerosol loading due to MODIS AOD assimilation reduces average daytime downward solar radiation reaching the surface by ~100 W/m2, planetary boundary layer height by ~600 m, and surface temperature by ~2 K particularly over the Indo‐Gangetic Plain with the largest impact in Punjab, Haryana, Delhi, and Uttar Pradesh. The comparison of model with surface temperature observations shows that improved air quality forecast reduced mean bias in surface temperature forecast by 17%, 30%, and 26% on the first, second and third days of the forecast, respectively. Aerosol‐radiation feedback extends the benefits of assimilating satellite AOD beyond PM2.5 forecasts to surface temperature forecast with a reduction in the mean bias of 0.9–1.5°C (17–30%).
(Rajesh Kumar, Sachin D. Ghude et al. Journal of Geophysical Research: Atmospheres, September 2020, DOI: 10.1029/2020JD033019)
The effect of relative humidity and temperature on the submicron aerosol variability and its ageing process was studied over a high altitude site, Mahabaleshwar in south-west India. The mass composition of non-refractory particulate matter of 1 μm (NR-PM1) size was obtained using Time of Flight Aerosol Chemical Speciation Monitor (ToF-ACSM) along with the measurements on a few trace gases during winter (December 2017–February 2018) and summer season (20th March - 5th May 2018). Sulfate exhibited strong dependence on the relative humidity (RH) as its mass fraction increased with the increase in RH.
(Mukherjee S., Singla V. et al. Environmental Pollution, October 2020, DOI:10.1016/j.envpol.2020.115019)