The study analysed the teleconnection of total cloud fraction (TCF) with global sea surface temperature (SST) in multi-model ensembles (MME) of the fifth and sixth Coupled Model Intercomparison Projects (CMIP5 and CMIP6). The CMIP6-MME performs better than CMIP5-MME as compared to observation/reanalysis. The results establish the credibility of the CMIP6 models and provide a scientific basis for improving the seasonal prediction of ISM.
Dutta U., Hazra A., Chaudhari H.S., Saha Subodh K., Samir Pokhrel, Verma U., Global and Planetary Change, 215: 103873, August 2022, DOI:10.1016/j.gloplacha.2022.103873, 1-12
Read More
The study highlights the role of high-resolution land data assimilation in improving the prediction of radiation fog and near-surface meteorological variables. First, the quality of initial fields of soil states from reanalysis data (CNTL) and HRLDAS was examined against the observations. The HRLDAS soil product substantially reduced the wet bias in the initial soil fields during the boreal winter of 2017–2018. Second, four sensitive experiments were conducted using Noah-MP (NM) and Pleim-Xiu (PX) land-surface parameterisations in the WRF model initialized with CNTL and HRLDAS soil states. Using High-resolution HRLDASSM/ST, WRF's PX land surface scheme positively impacted fog life cycles, reducing a fog onset error by two hours and improving its vertical evolution.
Parde A.N., Ghude S.D., Sharma A., Dhangar N.G., Govardhan G., Wagh S., Jenamani R.K., Pithani P., Chen F., Rajeevan M., Niyogi D., Atmospheric Research, July 2022, DOI:10.1016/j.atmosres.2022.106331, 1-16
Read More
The study explores the association of biomass-induced black carbon aerosolized virus with COVID-19 in one of the top-ranked polluted hot spot regions of the world, Delhi. The aged biomass BC particles tend to aggregate and react with other compounds to grow in size, providing temporary habitat to viruses leading to the rapid increase in COVID-19 cases which declined after the crop burning stopped.
Rathod A., Beig G., Urban Climate, 38: 100913, July 2022, DOI:10.1016/j.uclim.2021.100913, 1-7
Read More
This study assesses the simulation of the Boreal Summer Intraseasonal Oscillation (BSISO), particularly the associated moist convective processes in 10 models from both CMIP5 and CMIP6. Among the CMIP6 models, MPI-ESM1-2-LR, FGOALS-f3-L, and NorESM2-MM exhibit better northward propagation and the associated moist processes. The models show a deterministic relationship between vertical velocity, specific humidity, and precipitation with a much higher fraction of convective rain than large-scale rain contrary to the random relationship seen in the observation. Only FGOALS-f3-L (from the CMIP6 family), which uses convection resolving precipitation parameterization produces the variability seen in the observation to a large extent.
Tirkey S., Mukhopadhyay P., Krishna R.P.M., International Journal of Climatology, June 2022, DOI:10.1002/joc.7765, 1-23
Read More