This study presents an analysis of daily field-scale soil-moisture (SM) variations, measured using the COsmic-ray Soil Moisture Observing System (COSMOS), over a tropical monsoon site (IITM, Pune) in India, for the period 2017–2020. Being located in the core zone of the Indian summer monsoon, the daily field-scale SM observations at COSMOS-IITM provide an unique opportunity to understand the SM response to monsoon precipitation variations on sub-seasonal, seasonal and interannual time-scales. This study highlights a longer persistence of SM memory time-scale (about 60 days) during 2019 as compared to 2017, 2018 and 2020. The validation of coarser resolution data sets revealed that GLDAS and ERA5 reasonably capture a range of observed field-scale SM variabilities over COSMOS-IITM site.
(Mujumdar M., Goswami M.M., Morrison R., Evans J.G., Ganeshi N., Sabade S.S., Krishnan R., Patil S.N., Journal of Hydrology, 597: 126102, June 2021, DOI: 10.1016/j.jhydrol.2021.126102, 1-13)
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Pre-monsoon dust storms also known as “Andhi” are one of the common phenomena occurring over the northern part of Indian sub-continent. Using the synergetic information from multiple platforms, the life cycle of an infamous dust storm event has been investigated, which impacted the urban megacity of New Delhi on May 30, 2014. The analysis from the radar revealed that the storm resulted from the merger of the outflow boundaries of two propagating thunderstorms in the mesoscale vicinity of New Delhi region. The leading edge of the outflow of downdraft cold air generated from the storm, ploughs the loose hot soil from the surface, thereby resulting to the severe dust storm over the region. Although the study is centered at one event, the inferences distilled from this study are beneficial for the improvement of the predictive capability of severe weather events particularly for the tropical countries.
(Chakravarty Kaustav, Vincent V., Vellore R., Srivastava A.K., Rastogi R., Soni V.K., Urban Climate, 37: 100825, May 2021, DOI:10.1016/j.uclim.2021.100825, 1-11)
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The importance of providing multi satellite-based chlorophyll-a in an ocean model for accurate representation of penetrative shortwave radiation is demonstrated in this study using Modular Ocean Model. It questions the traditional usage of chlorophyll-a climatology in models. The model sensitivity experiments Chl_IA (with interannually varying multi satellite-based chlorophyll-a) and Chl_Clim (with chlorophyll-a climatology) during 1998–2016 reveals the importance of using the interannual chlorophyll. The present study advocates the use of multi satellite-based interannually varying chlorophyll-a observations to study the variability of Pacific Ocean using OGCM.
(Karmakar Ananya, Parekh A., Chowdary J.S., Gnanaseelan C., International Journal of Remote Sensing, 42, May 2021, DOI:10.1080/2150704X.2021.1875146, 3445-3455)
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The study observed a significant reduction in absorbing aerosol loading across the IGB during the enforced lockdown amid COVID-19 pandemic. Except O3, a drastic reduction was observed in the measured near-surface pollutant levels, i.e., PM10 (~58%), PM2.5 (~47%), NO (~76%), NO2 (~68%) and CO (~58%) during the lockdown period of 2020 as compared to 2019. While, O3 was low in the initial phase and a gradual increase was observed with the progression of lockdown phases, the mean O3 during the entire lockdown period was nearly similar in both the years. Though, all the measured pollutants showed significant reduction during the entire lockdown, a phase-wise enhancement, associated with the conditional relaxations was observed in their concentrations. The results of the study may help, not only to assess the impact of outbreak on air quality, but also in designing the mitigation policies in urban megacities in more efficient ways to combat the air pollution problems.
(Srivastava Atul K., Bhoyar P.D., Kanawade V.P., Devara P.C.S., Thomas A., Soni V.K., Urban Climate, 36: 100791, March 2021, DOI: 10.1016/j.uclim.2021.100791, 1-13)
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