General Document on Common Questions and Answers on Cloud Seeding
This study employs deep learning (DL) models for precipitation now-casting utilizing Radar precipitation data over Bhopal city located in central India and tests its efficacy during the monsoon (JJAS) 2021 season, with a 20-min temporal resolution. Out of the three methods tested for forecasting, the DL model ConvLSTM outperforms ConvGRU model, and persistence baseline method, in terms of spatial and temporal correlation, skill score, and RMSE, and is thus chosen for further investigations. The ConvLSTM model provides an accuracy of up to 75% for the 1st lead time step forecast and gradually decreases for further time steps going down to approximately 35% at the 5th lead time step forecast. Moreover, while comparing directly from ground truth, the model is able to capture the temporal (sequential) linkage in data. The findings show that deep-learning-based models have the potential to improve precipitation now-casting.
Kumar Bipin, Haral H., Kalapureddy M.C.R., Singh B.B., Yadav S., Chattopadhyay R., Pattanaik D.R., Rao Suryachandra A., Mohapatra M., Physics and Chemistry of the Earth, 135: 103600, October 2024, DOI:10.1016/j.pce.2024.103600, 1-10
Read MoreThe study shows that if the collisions occur in presence of a horizontal electric field, it opposes the effect of eccentricity on the outcomes of the collisions. In this study, simultaneous effects of eccentricity and horizontal electric field are examined from numerically calculated collision characteristics from previous studies and utilizing the results of a simulation experiment. Simultaneous effects of eccentricity and electric field on coalescence efficiency and total and spectral size distribution of fragments generated after the collision have also been evaluated. The results suggest that the electric field can significantly modify drop size distribution in thunderclouds and need to be considered for the development of precipitation.
Pawar V., Bhalwankar R., Kamra A.K., Geophysical Research Letters, 51: e2024GL110547, September 2024, DOI:10.1029/2024GL110547, 1-14
Read MoreThe study investigates the radiative effects of CO2 and anthropogenic aerosols on regional variations in the intensity of tropical meridional (Hadley-like) and zonal (Walker-like) overturning circulations, based on a suite of experiments using the IITM Earth System Model (IITM-ESM) along with supplementary analysis of observed and reanalysis datasets. The results suggest that the combined radiative influence of increased CO2 and northern hemispheric (NH) anthropogenic aerosols reinforces the regional meridional overturning circulation, by enhancing convection over the southern hemispheric (SH) and promoting widespread descent over the NH subtropics and mid-latitudes covering northern Africa, Mediterranean, parts of middle-East, West and South Asia. The present findings have important implications for the regional water resources, agriculture and environment.
Kalik V., Krishnan R., Ayantika D.C., Swapna P., Singh Manmeet, Sandeep N., Vellore R., Rao V.B., Environmental Research: Climate, 3, August 2024, DOI:10.1088/2752-5295/ad6f3c, 1-20
Read MoreMethane is a potent greenhouse gas, which causes global warming. Aircraft-based observations of methane were conducted over India to study the vertical variability. Observations show that methane is highly variable with altitude, and these vertical profiles are different according to the region and season in India. Models can reproduce the average vertical profiles but not individual flights. Using these data, estimations of methane emissions were also done, which show that current inventories need to account for all the different sources, including agriculture and wetlands.
Tiwari Y.K., Gupta S., Fernandez R.P., Cuevas C.A., Li Q., Saiz-Lopez A., Mahajan A.S., Journal of Geophysical Research: Atmospheres, 129: e2024JD041308, August 2024, DOI:10.1029/2024JD041308, 1-11
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