Detecting dust loads in the atmosphere over Thar desert by using MODIS and INSAT-3D data

Sujitha, P.R.; Santra, Priyabrata; Bera, Apurba Kumar; Verma, Manish; Rao, S. Srinivasa

doi:10.1016/j.aeolia.2022.100814

Cited by 2 publications

(5 citation statements)

References 39 publications

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“…The Hot, Dry, Windy Index (HDWI) approach was assessed for eight well researched dust storm cases from various parts of the world (3,12,27,28,37,51,52,56). The HDWI was calculated using the necessary variables (49,50), such as surface pressure, specific humidity, relative humidity, temperature, and wind speed.…”

Section: Materials and Methodologymentioning

confidence: 99%

“…The figure shows that HDWIs at all 4 grid-points possess maximum values between June 3 and June 4, 2017. As per the report (52), as well as the NASA EOSDIS's Worldview tool, the dust storm originated on June 4, 2017, i.e., on the next day when all four HDWIs were found maximum. It is noteworthy here that HDWIs did not achieve any higher values in the overall 30 days' time duration.…”

Section: Case Study-a: Thar Desert Dust Storm India 2017mentioning

confidence: 96%

“…This desert is an important natural source of dust for the Indian subcontinent (19,51), during the summer season. For this case study, an intense dust storm that originated from the Thar Desert was considered (52). This dust storm was originated during June 2017 and impacted the Indian subcontinent subsequently.…”

Section: Case Study-a: Thar Desert Dust Storm India 2017mentioning

confidence: 99%

“…This dust storm was originated during June 2017 and impacted the Indian subcontinent subsequently. Since the precise coordinates for the origin of this dust storm are not clearly defined (52), a help of NASA EOSDIS's Worldview tool was taken to identify the location and HDWIs were calculated for the selected 4 grid-points surrounding it.…”

Section: Case Study-a: Thar Desert Dust Storm India 2017mentioning

confidence: 99%

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Yes, dust storms can possibly be forecasted now!!

Srivastava,

M.,

Mehrotra

et al. 2024

Preprint

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A unique approach of a well-established Hot-Dry-Windy Index (HDWI) method is established to build the forecasting framework of dust storms. This method is successfully used for forecasting wildfire incidences. The approach calculates the likelihood of a dust storm by postulating that it arises from a synergistic interplay of elevated temperatures, arid atmospheric conditions, and powerful winds, similar to the conditions that are necessary for a wildfire occurrence. The approach has been effectively evaluated for eight distinct dust storm events that took place in important desert places around the world. The results regularly shown its capacity to precisely determine the source of dust storms within a limited time frame. The proposed strategy provides a multitude of advantages compared to other alternatives currently suggested for the same objective.

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Section: Materials and Methodologymentioning

confidence: 99%

Section: Case Study-a: Thar Desert Dust Storm India 2017mentioning

confidence: 96%

Section: Case Study-a: Thar Desert Dust Storm India 2017mentioning

confidence: 99%

Section: Case Study-a: Thar Desert Dust Storm India 2017mentioning

confidence: 99%

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Yes, dust storms can possibly be forecasted now!!

Srivastava,

M.,

Mehrotra

et al. 2024

Preprint

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“…Satellite remote sensing technology uses the spectral radiation characteristics of atmospheric particles and their relative differences with other environmental factors to extract dust information from the atmosphere, compensating for the lack of monitoring data on the occurrence, transmission and intensity change of dust in ground observation. Such a technology has been widely used [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Dust Weather in the Tarim Basin from 1989 to 2021 and Its Impact on the Atmospheric Environment

2023

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Dust emission is a common catastrophic weather phenomenon in Northern China. This phenomenon not only causes environmental problems, such as air pollution, but also has an important impact on the global dust cycle and climate change. On the basis of the dust weather observation data of 44 surface meteorological stations in the Tarim Basin from 1989 to 2021, combined with the dust aerosol optical depth (DAOD), dust surface mass concentration (DUSMASS) and wind speed data, this paper analyses the spatial and temporal dust weather characteristics in the Tarim Basin over the past 33 years. Results show that the frequency of dust weather in the Tarim Basin has declined in the past 33 years. Dust weather mainly consisted of floating dust, followed by blowing dust and dust storm. This weather had a significant seasonal change, with more dust in spring and summer and less in autumn and winter. The dust weather was mainly distributed along the south edge of the Tarim Basin and the desert hinterland of Tazhong. The spatial distribution of the dust intensity (DI) index was basically consistent with the dust weather days. Moreover, the DAOD was obviously affected by dust weather and had a significant positive correlation with the number of dust weather days and the DI, suggesting the vertical concentration of dust particles to a certain extent. Wind is also one of the most important factors affecting the release of dust. The frequency of strong wind weather decreases from the northeast to the southwest, which corresponds to the distribution of the DUSMASS.

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Detecting dust loads in the atmosphere over Thar desert by using MODIS and INSAT-3D data

Cited by 2 publications

References 39 publications

Yes, dust storms can possibly be forecasted now!!

Yes, dust storms can possibly be forecasted now!!

Characteristics of Dust Weather in the Tarim Basin from 1989 to 2021 and Its Impact on the Atmospheric Environment

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