Yilian Liao | Earth and Planetary Sciences | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Yilian Liao  
Peking University, China

Yilian Liao
Affiliation Peking University
Country China
Scopus ID 59897784500
Documents 2
Citations 2
h-index 1
Subject Area Earth and Planetary Sciences
Event Global Innovation Technologist Awards

Yilian Liao is affiliated with Peking University and works within the field of Earth and Planetary Sciences. The research record highlighted here includes the 2025 article Jurassic and Eocene Paleomagnetism in the Western Tethyan Himalaya: Implications for the India-Asia Collision, published in Tectonics with Umar Farooq Jadoon, Baochun Huang, Muhammad Waqar Azeem, Ahsan Ali Khan, Tehseen Zafar, and Hongliang Lu. The article examines paleomagnetic evidence from the western Tethyan Himalaya and its implications for reconstructing the India–Asia collision history. [1]

Abstract

The featured study investigates Jurassic and Eocene paleomagnetism in the western Tethyan Himalaya to clarify the timing and geodynamic development of the India–Asia collision. The research analyzes the Samanasuk and Shekhan formations and distinguishes between remagnetized and primary magnetic signals. The study reports that the Jurassic Samanasuk Formation underwent chemical remagnetization around 40 Ma, whereas the Eocene Shekhan Formation retains primary remanence. The resulting paleolatitudinal estimates support a multistage model for India–Asia convergence and provide evidence relevant to Himalayan–Tibetan tectonic reconstruction. [1] [2]

Keywords

  • Paleomagnetism
  • Tethyan Himalaya
  • India–Asia collision
  • Rock magnetism

Introduction

The Tethyan Himalaya constitutes a northern continental component of the India Plate and is central to understanding the Cenozoic development of the Himalayan–Tibetan orogen. Paleomagnetic observations can provide constraints on ancient latitude, plate movement, and collision chronology, although secondary magnetization can complicate geological interpretation. [2]

The featured 2025 Tectonics article addresses this problem through analysis of Jurassic and Eocene formations in the western Tethyan Himalaya. Its findings contribute to discussion of whether India–Asia convergence occurred as a single event or through multiple tectonic stages. [1]

Research Profile

The available profile identifies Yilian Liao with Peking University and the Earth and Planetary Sciences subject area. The Scopus record supplied for this recognition profile lists 2 documents, 2 citations, and an h-index of 1. These bibliometric indicators represent the supplied record and should be interpreted in relation to publication age, field norms, collaboration patterns, and database coverage.

Research Contributions

The featured publication contributes paleomagnetic evidence for reconstructing the western Tethyan Himalaya during the Jurassic and Eocene. The authors report a positive fold test and distinguish a chemically remagnetized Jurassic signal from primary Eocene remanence. The study estimates a paleolatitudinal difference of approximately 12.6° ± 5.5° between the Tethyan Himalaya and the India Craton around 50 Ma, an observation interpreted in the context of a multistage India–Asia collision model. [1]

Publications

Jadoon, U. F., Huang, B., Azeem, M. W., Liao, Y., Khan, A. A., Zafar, T., & Lu, H. (2025). Jurassic and Eocene Paleomagnetism in the Western Tethyan Himalaya: Implications for the India-Asia Collision.

Research Impact

The research has relevance to paleomagnetism, regional tectonics, and reconstruction of the India–Asia collision. By separating primary remanence from later chemical remagnetization, the study illustrates the importance of evaluating magnetic reliability before using paleomagnetic data for plate-reconstruction models. Its reported paleolatitudinal constraints provide a quantitative basis for examining stages of convergence between the Indian and Asian continental domains. [1] The supplied Scopus record reports 2 citations for the researcher profile, while the featured article itself is separately indexed in scholarly databases. [3]

Award Suitability

For the Innovative Research Award category associated with the Global Innovation Technologist Awards, the featured work provides a documented example of research addressing a defined geological and geodynamic problem through paleomagnetic analysis. Its relevance to Earth and Planetary Sciences, methodological focus, quantitative paleolatitudinal results, and contribution to interpretations of the India–Asia collision provide reasonable scholarly grounds for consideration. Award suitability, however, remains subject to the formal eligibility and evaluation criteria of the awarding organization.

Conclusion

Yilian Liao’s research profile is represented here through a peer-reviewed contribution to paleomagnetic and tectonic research concerning the western Tethyan Himalaya. The 2025 Tectonics article provides evidence distinguishing remagnetization from primary magnetic signals and develops paleolatitudinal constraints relevant to models of India–Asia convergence. [1] Within the supplied bibliometric record, the publication represents a focused contribution to Earth and Planetary Sciences and a relevant basis for academic recognition.

References

  1. Jadoon, U. F., Huang, B., Azeem, M. W., Liao, Y., Khan, A. A., Zafar, T., & Lu, H. (2025). Jurassic and Eocene Paleomagnetism in the Western Tethyan Himalaya: Implications for the India-Asia Collision.
  2. Peking University Institutional Repository. (2025). Jurassic and Eocene Paleomagnetism in the Western Tethyan Himalaya: Implications for the India-Asia Collision.
  3. Elsevier. (n.d.). Scopus author details: Yilian Liao, Author ID 59897784500. Scopus.
    https://www.scopus.com/pages/authors/59897784500
  4. American Geophysical Union. (2025). Jurassic and Eocene Paleomagnetism in the Western Tethyan Himalaya: Implications for the India-Asia Collision. Tectonics, 44(8).
  5. Jadoon, U. F., Huang, B., Azeem, M. W., Liao, Y., Khan, A. A., Zafar, T., & Lu, H. (2024). Jurassic and Eocene Paleomagnetism in the Western Tethyan Himalaya: Implications for the India-Asia Collision [Dataset]. Dryad.
    https://doi.org/10.5061/dryad.2rbnzs7z9

Avinash Parde | Earth and Planetary Sciences | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Avinash Parde
Frederick Research Center
Avinash Parde
Affiliation Frederick Research Center
Country Cyprus
Scopus ID 57217526000
Documents 21
Citations 276
h-index 11
Subject Area Earth and Planetary Sciences
Event Global Innovation Technologist Awards
ORCID 0000-0001-5158-3187

The Innovative Research Award recognizes scholarly excellence and sustained scientific contributions within the field of atmospheric and environmental sciences. Avinash Parde has established a research portfolio focused on operational weather forecasting, boundary layer meteorology, numerical weather prediction, and advanced data assimilation methodologies. His work has contributed to the development of forecasting systems for fog, heatwaves, aerosol interactions, and urban meteorological processes across South Asia and the Eastern Mediterranean region.[1]

His research activities involve the integration of observational instrumentation, including microwave radiometers, ceilometers, radiosondes, SoDAR systems, and atmospheric data assimilation frameworks within Weather Research and Forecasting (WRF) model environments. Through collaborative research initiatives and operational forecasting projects, Parde has contributed to improving decision-support systems for severe weather events and urban climate resilience.[2]

Abstract

Avinash Parde is an atmospheric scientist whose research focuses on numerical weather prediction, urban meteorology, aerosol-radiation interaction, and advanced data assimilation techniques for forecasting applications. His academic and operational work addresses critical forecasting challenges associated with fog genesis, severe weather events, urban heatwave conditions, and visibility prediction over densely populated regions. His contributions include the implementation of probabilistic fog forecasting systems, development of aerosol-based visibility parameterizations, and enhancement of operational forecasting frameworks using high-resolution observational datasets.[3]

His research output includes journal articles, conference presentations, and preprints related to atmospheric modeling and climate-related forecasting applications. The body of work demonstrates interdisciplinary integration between observational meteorology, atmospheric physics, and computational modeling systems for real-time forecasting applications.[4]

Keywords

  • Atmospheric Sciences
  • Numerical Weather Prediction
  • Boundary Layer Meteorology
  • Data Assimilation
  • Urban Meteorology

Introduction

The increasing frequency of severe weather events and rapid urbanization have intensified the demand for accurate atmospheric forecasting systems. Contemporary atmospheric science increasingly relies on coupled observational and numerical methodologies to improve predictive capabilities associated with fog, heatwaves, precipitation extremes, and aerosol interactions. Within this context, Avinash Parde has contributed to operational and research-oriented meteorological modeling systems through studies emphasizing urban meteorology, boundary layer processes, and high-resolution atmospheric simulations.[5]

His research integrates field campaign observations with data assimilation frameworks and atmospheric instrumentation, including microwave radiometers, automatic weather stations, radiosondes, ceilometers, and SoDAR systems. Such integration supports the development of operational forecasting frameworks applicable to airport forecasting systems, regional climate studies, and urban atmospheric monitoring programs.[6]

Research Profile

Avinash Parde completed doctoral research in Atmospheric Sciences at Savitribai Phule Pune University, where his work focused on advanced fog prediction methodologies for the Delhi National Capital Region. His doctoral studies examined the integration of urban atmospheric dynamics and data assimilation systems within forecasting frameworks designed for operational visibility prediction.[7]

Prior to joining the Frederick Research Center as a Research Scientist, he served in multiple scientific and operational roles at the Indian Institute of Tropical Meteorology (IITM), Pune, including positions as Senior Research Fellow and Project Scientist-II. His earlier professional experience also includes computational atmospheric applications at the Centre for Development of Advanced Computing and operational weather analysis responsibilities in the private sector.[8]

  • Research Scientist, Frederick Research Center, Cyprus
  • Project Scientist-II, Indian Institute of Tropical Meteorology
  • Senior Research Fellow, Indian Institute of Tropical Meteorology
  • Project Engineer, Centre for Development of Advanced Computing

Research Contributions

One of Parde’s notable contributions involves the development and operational implementation of the Ensemble Probability Fog Forecast System (EPFS) for airports across the Indo-Gangetic Plain. The forecasting framework provided probabilistic visibility forecasts using ensemble meteorological simulations and data assimilation approaches designed to improve fog prediction accuracy in aviation-sensitive regions.[9]

His research also includes implementation of the WRF-UACM urban atmospheric model for real-time forecasting applications over Delhi and other urban environments. The work examined the role of urban morphology and land-surface representation in improving severe weather simulations, particularly during fog and heatwave events.[10]

Additional contributions include studies related to aerosol-radiation interaction feedback systems, microwave radiometer assimilation, GNSS water vapor retrieval, and thermodynamic profile correction techniques. These studies support improved representation of atmospheric thermodynamics and boundary layer evolution in operational forecasting systems.[11]

Publications

  • Role of High-Resolution Land Surface Representation in WRF Model for Forecasting Extreme Heatwave Conditions over Cyprus, Forecasting (2026).
  • Improving aerosol-radiation interaction feedback in AIRWISE operational system (2026).
  • Enhancing GNSS Water Vapor Retrieval via Synergistic Microwave Radiometry: Thermodynamic Error Diagnosis and Bias Correction (2026).
  • Wintertime Intercomparison of Specific Humidity and Temperature Profiles Measured by Microwave Radiometer (MWR), Radiosonde, and INSAT-3DR Sounder Over Delhi, India, Journal of Geophysical Research: Atmospheres (2025).
  • Simulation of Rainfall in Mumbai using Detailed Urban Morphology and the WRF-UACM Model, ICUC12 (2025).

Research Impact

The research profile of Avinash Parde demonstrates measurable scholarly impact through publications, citation activity, and operational forecasting applications. His Scopus-indexed record indicates more than 276 citations across atmospheric science and meteorological forecasting literature, reflecting engagement within the research community in topics related to urban meteorology, data assimilation, and forecasting systems.[12]

The practical implementation of probabilistic fog forecasting systems and urban atmospheric models has relevance for aviation forecasting, environmental monitoring, and disaster preparedness programs. His involvement in field campaigns and collaborative meteorological initiatives further demonstrates the translational application of atmospheric research within operational forecasting environments.[13]

Award Suitability

The Global Innovation Technologist Awards emphasize interdisciplinary innovation, applied scientific advancement, and measurable societal relevance. Parde’s contributions to numerical weather prediction, urban atmospheric modeling, and operational forecasting systems align with these objectives through the integration of advanced computational techniques and observational science.[14]

His work demonstrates a combination of theoretical atmospheric science, operational forecasting implementation, and applied computational modeling. The development of forecasting tools designed for aviation safety, severe weather preparedness, and urban environmental analysis illustrates the practical significance of his research contributions within Earth and Planetary Sciences.[15]

Conclusion

Avinash Parde’s academic and operational research activities contribute to the advancement of atmospheric sciences through forecasting innovation, observational data integration, and urban meteorological modeling. His interdisciplinary research portfolio demonstrates continued engagement with emerging forecasting challenges related to fog, heatwaves, aerosol interactions, and severe weather systems.[16]

Through scholarly publications, forecasting system development, and collaborative atmospheric science initiatives, his work reflects the broader objectives of improving predictive meteorological capabilities and strengthening operational decision-support systems. These contributions provide a strong foundation for recognition within the framework of the Innovative Research Award and the Global Innovation Technologist Awards program.[17]

References

  1. Elsevier. (n.d.). Scopus author details: Avinash Parde, Author ID 57217526000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57217526000
  2. ORCID. (n.d.). Avinash N. Parde ORCID Profile.
    https://orcid.org/0000-0001-5158-3187
  3. Parde, A. N. (2026). Role of High-Resolution Land Surface Representation in WRF Model for Forecasting Extreme Heatwave Conditions over Cyprus. Forecasting.
    https://doi.org/10.3390/forecast8030042
  4. Parde, A. N. (2026). Improving aerosol-radiation interaction feedback in AIRWISE operational system.
    https://doi.org/10.5194/egusphere-2026-1100
  5. Parde, A. N. (2025). Simulation of Rainfall in Mumbai using Detailed Urban Morphology and the WRF-UACM Model.
    https://doi.org/10.5194/icuc12-889
  6. Parde, A. N. (2025). Wintertime Intercomparison of Specific Humidity and Temperature Profiles Measured by Microwave Radiometer (MWR), Radiosonde, and INSAT-3DR Sounder Over Delhi, India.
    https://doi.org/10.1029/2025JD044462
  7. Savitribai Phule Pune University. (2025). Doctoral Research in Atmospheric Sciences.
  8. Indian Institute of Tropical Meteorology. (2025). Research and operational forecasting activities associated with atmospheric modeling.
  9. Parde, A. N. (2025). Influence of Ground-Based Microwave Radiometer Profile Assimilation on Fog Genesis Forecasts in the Winter Boundary Layer of Northern India.
    https://doi.org/10.1029/2024JD042224
  10. Parde, A. N. (2025). Urban meteorological simulations using WRF-UACM atmospheric frameworks.
  11. Parde, A. N. (2026). Enhancing GNSS Water Vapor Retrieval via Synergistic Microwave Radiometry: Thermodynamic Error Diagnosis and Bias Correction.
    https://doi.org/10.5194/egusphere-2026-231
  12. Scopus. (2026). Citation metrics and h-index information for Avinash Parde.
  13. WiFEX Field Campaign. (2025). Observational integration and operational forecasting support activities.
  14. Global Innovation Technologist Awards. (2026). Award objectives and innovation recognition criteria.
    innovationtechnologist.com
  15. Frederick Research Center. (2026). Research initiatives in atmospheric and environmental sciences.
  16. Parde, A. N. (2025). The Role of Data Assimilation in Enhancing Warm Fog Predictions Over Delhi and NCR.
    https://doi.org/10.5194/egusphere-egu25-438
  17. Crossref. (2026). Indexed research publications and scholarly outputs associated with Avinash Parde.