General Document on Common Questions and Answers on Cloud Seeding
The sensitivity of enhanced vertical resolution in the operational short to medium-range weather forecast model (GFS T1534) over the Indian summer monsoon region during JJAS of the year 2020 is investigated. To find out the influence of enhanced vertical resolution, two separate forecast runs are carried out with GFS T1534 with L64 (CTRL) and L128 (EXPT). The model forecast evaluation indicates that EXPT shows improved precipitation distribution over the CI, Indo-Gangetic plains, and southern peninsula regions over the CTRL forecast. EXPT shows a considerable overestimation of rainfall over the northeast India, Himalayan foothills, WGs, and BOB region compared to both observation and CTRL. Preliminary analyses show that enhanced vertical resolution over the above mountainous region leads to enhanced vertical velocity and associated moisture convergence, which helps get excess rainfall over those areas. Apart from the above regions, the precipitation distribution over the central Indian landmass region shows improvement in rainfall PDF and CDF distribution. The heavy to very heavy and extreme rainfall distribution has improved in EXPT compared to the CTRL forecast for all the lead time during JJAS of 2020.
Ganai M., Phani M.K.R., Tirkey S., Mukhopadhyay P., Climate Dynamics, June 2024, DOI:10.1007/s00382-024-07316-w, 1-23
Read MoreThe large-scale convection during the Asian summer monsoon plays an important role in the rapid transport of boundary layer aerosols into the Asian summer monsoon anticyclone. The state-of-the-art ECHAM6–HAMMOZ aerosol-chemistry-climate model simulations show that East and South Asian anthropogenic emissions contribute significantly to the aerosol transported to the Arctic, which causes a higher negative net aerosol radiative forcing at the surface (dimming) of -0.09 ± 0.02 Wm-2 and -0.07 ± 0.02 Wm-2, respectively. Over the Arctic, the East Asian anthropogenic aerosols that include large amounts of sulfate cause a seasonal mean net radiative forcing at the top of the atmosphere (TOA) of -0.003±0.001Wm-2 and a surface cooling of -0.56 K while the black carbon dominated aerosol from South Asia shows a positive TOA forcing of +0.004 ± 0.001Wm-2 with an only minor surface cooling of -0.043 K. Overall, the long-range transport of South Asian aerosols results in a notably warming throughout the atmospheric column but minimal temperature response at the Arctic surface. Conversely, East Asian aerosols cool the troposphere and heat the lower stratosphere in the Arctic. The Asian aerosol thus plays an ambivalent role, with the East Asian sources in particular having the potential to counteract the rapid rise in Arctic temperatures and the associated melting of snow and ice.
Fadnavis S., Sonbawne S.M., Laakso A., Ploeger F., Rap A., Heinold B., Sabin T.P., Müller R., npj Climate and Atmospheric Science, 7: 101, May 2024, DOI:10.1038/s41612-024-00633-1, 1-11
Read MoreThis study illustrates in situ measurements of clouds and precipitation within the shallow and deep cumulus over the north-eastern Arabian Sea region during the Indian monsoon with a focus on droplet spectral parameters. The observational period showed a significant incursion of Arabian dust and the presence of giant cloud condensation nuclei (GCCN), modifying the cloud and precipitation spectral properties. A rapid broadening of droplet size distribution (DSD) near to the cloud base was noted. 𝜇m and the large drizzle drops (or ice hydrometeors) with size range 100–6400 𝜇m are parameterized using the gamma function distributions useful for large-scale cloud models.
Bera S., Patade S., Prabhakaran Thara, Environmental Research Communications, 6: 055009, May 2024, DOI:10.1088/2515-7620/ad443d, 1-17
Read MoreThe newly developed Decision Support System version 1.0 (DSS v1.0) with certain unique features helps the decision-makers to form policies for air quality management activities in Delhi, India. In addition to standard air quality forecasts, DSS provides the contributions of the 19 surrounding districts, individual emission sectors in Delhi, and the biomass-burning activities (occurring primarily in the northwestern states of India in the post-monsoon season) to the PM2.5 mass concentration in Delhi. The system also quantifies the effects of emission source-level interventions on the forecasted air pollution in the city. With the help of DSS, the policymakers can get a warning about future severe air pollution events and understand the possible causes for the event and get a quantitative idea about the efficacy of the source-level interventions on the forecasted event.
Govardhan G., Ghude S.D., Kumar R., Sharma S., Gunwani P., Jena C., Yadav P., Ingle S., Debnath S., Pawar P., Acharja P., Jat R., Kalita G., Ambulkar R., Kulkarni S., Kaginalkar A., Soni V. K., Nanjundiah R.S., Rajeevan M., Geoscientific Model Development, 17, April 2024, DOI:10.5194/gmd-17-2617-2024, 2617–2640
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