Rohit Mangla, PhD

About

Currently, I am engaged as Research Scientist at Centre for Remote Imaging, Sensing and Processing at National University of Singapore. My area of interest is remote sensing of cloud and precipitation, microwave remote sensing, data assimilation in meteorology, radiative transfer modelling, cloud-aerosol-precipitation interaction and machine learning.

At CRISP, i am working on retrieval of volcanic ash properties using satellite remote sensing and numerical models.

Previously, I worked as a post-doctoral researcher in the observation team of data assimilation group (GMAP) at Meteo-France, Toulouse, France, where i worked on the upgradation of space radar module in RTTOV-SCATT model, a well known fast forward operator for data assimilation at national meteorological agencies.

My contribution on bright band simulations is adapted in RTTOV v13.2 (release in November 2022). During my PhD at IIT Bombay, we have developed a new methodology in colloboration with Meteo-France to account weather model bias in the context of all-sky assimilation of microwave observations. I also worked on vertical structure of cloud and indirect effect of aerosols on convective precipitation. I have published 5 research articles in peer-reviewed journals and attended several national and international conferences.

I am also recipient of Raman-Charpak fellowship-2018, awarded by the Indo-French Centre for the Promotion of Advanced Research. I am active reviewer of peer-reviewed journals like Journal of Hydrometeorology, Remote Sensing (MDPI) and Geocarto International.

Employment

• National University of Singapore Research Scientist
  2024 - Present
• Meteo France Post-doctral researcher
  2021 - 2023

Education

• Indian Institute of Technology Bombay PhD in Remote Sensing
  2016 - 2021
• Indian Institute of Remote Sensing M.Tech in Remote Sensing and GIS
  2013 - 2015
• J.C. Bose University of Science & Technology, YMCA B.Tech
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Assessment and application of melting-layer simulations for spaceborne radars within the RTTOV-SCATT v13.1 model
  Atmospheric Measurement Techniques 2025 DOI: 10.5194/amt-18-2751-2025
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• Assessment and application of melting layer simulations for spaceborne radars within the RTTOV-SCATT v13.1 model
  2024 DOI: 10.5194/amt-2024-131
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• Performance Evaluation of Google Earth Engine Based Precipitation Datasets Under Different Climatic Zones over India
  Remote Sensing in Earth Systems Sciences 2022 DOI: 10.1007/s41976-022-00077-2
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• Remote sensing data assimilation
  Hydrological Sciences Journal 2022 DOI: 10.1080/02626667.2020.1761021
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• First steps towards an all-sky assimilation framework for tropical cyclone event over Bay of Bengal region: Evaluation and assessment of GMI radiances
  Atmospheric Research 2021 DOI: 10.1016/j.atmosres.2021.105564
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• Evaluation of convective storms using spaceborne radars over the <scp>Indo‐Gangetic</scp> Plains and western coast of India
  Meteorological Applications 2020 DOI: 10.1002/MET.1917
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• Inter-comparison of multi-satellites and Aeronet AOD over Indian Region
  Atmospheric Research 2020 DOI: 10.1016/J.ATMOSRES.2020.104950
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• EVALUATION OF ALL-SKY GPM/GMI RADIANCES FOR VARDAH CYCLONE EVENT IN REGIONAL DATA ASSIMILATION SYSTEM
  International Geoscience and Remote Sensing Symposium (IGARSS) 2019 DOI: 10.1109/IGARSS.2019.8898490
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• Random Forest Regression modelling for Forest Aboveground Biomass Estimation using RISAT-1 PolSAR and Terrestrial LiDAR Data
  Proceedings of SPIE - The International Society for Optical Engineering 2016 DOI: 10.1117/12.2227380
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• DEM Construction using DINSAR
  XXIII ISPRS Congress, Commission I 2014 DOI: 10.5194/ISPRSARCHIVES-XL-8-817-2014
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