Published June 11, 2026 | Version v1
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Dew-Point Anchor Hypothesis (DPAH): Application to the Indian Summer Monsoon and Thar Desert Heat Low – Thermodynamic Modelling, Sounding Validation, and Hurricane-Eye Analogy (Python Runs 4001–Master)

  • 1. Independent Researcher

Description

The Dew-Point Anchor Hypothesis (DPAH) proposes that the lifting condensation level (LCL) determined by surface dewpoint acts as the primary thermodynamic anchor for convective processes in the atmosphere, providing an "atmosphere-first" perspective complementary to traditional surface-temperature-driven approaches.

This deposit presents a complete open-source Python workflow (Master script + development runs 4001–4012) applying DPAH to the Indian Summer Monsoon and the Thar Desert thermal low-pressure cell. Key components include:

  • Thermodynamic vertical profiles (temperature, dewpoint, pressure) with explicit LCL anchoring
  • Quantitative validation against idealized radiosonde-style soundings (low RMSE for both Thar dry core and monsoon inflow)
  • Conceptual rainfall probability linked to LCL and moisture availability
  • Markov chain time-series model demonstrating sensitivity of monsoon rainfall frequency to Thar heat low strength
  • Visual and functional analogy of the Thar heat low as a thermal "eye" driving organized moist inflow and peripheral convection (eyewall-like)

The Thar Desert heat low exhibits strong subsidence and persistent low dewpoints aloft in the core, while drawing moist air from the Arabian Sea on its margins — where the dew-point-controlled LCL rapidly lowers, anchoring deep convection. This structure and behavior parallel a hurricane eye/eyewall system, driven here primarily by continental sensible heating.

This work is offered as an open contribution to the monsoon modeling community. It is particularly relevant to research at the Centre for Climate Studies, Indian Institute of Technology Bombay (IIT Bombay), and complements studies on land-atmosphere coupling, monsoon predictability, and extreme rainfall.

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01_PythonCodes.zip

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Additional details

Software

Programming language
Python

References

  • Paul, S., Ghosh, S., Oglesby, R., Pathak, A., Chandrasekharan, A., & Ramsankaran, R. (2016). Weakening of Indian Summer Monsoon Rainfall due to Changes in Land Use Land Cover. Scientific Reports, 6, 32177. https://doi.org/10.1038/srep32177
  • Devanand, A., Roxy, M. K., & Ghosh, S. (2018). Coupled Land-Atmosphere Regional Model Reduces Dry Bias in Indian Summer Monsoon Rainfall Simulated by CFSv2. Geophysical Research Letters, 45(5), 2476–2486. https://doi.org/10.1002/2018GL077218
  • Pathak, A., Ghosh, S., Martinez, J. A., Dominguez, F., & Kumar, P. (2017). Role of Oceanic and Land Moisture Sources and Transport in the Seasonal and Interannual Variability of Summer Monsoon Rainfall over India. Journal of Climate, 30(5), 1839–1859. https://doi.org/10.1175/JCLI-D-16-0156.1