Scientist Profile

Dr. Sandeep Dnyandeo Wagh

Designation
: Scientist B

Phone
: +91-(0)20-25904260

Fax
: -

Email ID
: sandeep[dot]wagh[at]trompmet[dot]res[dot]in

Aerosol-Cloud interaction, Fog microphysics, Aerosol-fog interaction, Cloud Physics, Ice Nucleation.
Degree University Year Stream
PhD University of Pune 2018 Atmospheric Sciences
M.Tech University of Pune 2012 Atmospheric Sciences
M.Sc. University of Pune 2007 Physics

  Aerosol-Cloud interaction

  Fog microphysics

  Aerosol-fog interaction

  Cloud Physics

  Ice Nucleation

 Laboratory experiment in Aerosol-Fog interaction and Ice Nucleation

Award Name Awarded By Awarded For Year
Rajiv Gandhi National Research Fellowship University Grant Commission (UGC) - Ministry of Human Resource Development PhD 2012
Year Designation Institute
2023-Present Scientist-B Indian Institute of Tropical Meteorology, Pune
2022-2023 Project Scientist- III Indian Institute of Tropical Meteorology, Pune
2018-2021 Post-Doctoral Researcher Department of Civil and Environmental Engineering and Earth Sciences , University of Notre Dame , USA
2018-2018 Project Scientist- I Indian Institute of Tropical Meteorology, Pune

Research Highlight


Research Title

Development of visibility equation based on fog microphysical observations and its verification using the WRF model

Research description

The campaign mode observational program 'Winter Fog Experiment' (WiFEX) was set up at the Indira Gandhi International Airport (IGIA), New Delhi, during the winter months of 2016–17 and 2017–18. Using the WiFEX data, in this study, we examine the microphysical structure of fog formed in a polluted environment and attempt to predict visibility (Vis) using the fog index approach. The droplet spectrum shows bi-modal distribution and dominance of smaller droplets in the 3–7 µm range. For most fog cases, the droplet spectrum extends up to 50 µm. The mature phase of the fog depicts a relatively increased population of droplets in the higher-sized bins, highlighting the formation of larger droplets. Fog index-based visibility parameterization has been developed to diagnostically compute visibility for the different categories of fog events. Out of 14 CAT-IIIB and 19 CAT-IIIC fog events, the 'WiFEX-in' could predict seven CAT-IIIB and 12 CAT-IIIC fog events, respectively. It is found that the observed and predicted fog hour differences were related to the errors in the fog onset, dissipation, and magnitude of predicted liquid water content during CAT-IIIB and CAT-IIIC events and the same are discussed.

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