DPAH Markovian Matrix: Dew-Point Anchor Hypothesis – Stochastic Modeling of Tropospheric Attractors (Runs 301–311)

DPAH Markovian Matrix: Dew-Point Anchor Hypothesis – Stochastic Modeling of Tropospheric Attractors (Runs 301–311) | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Dew-Point Anchor Hypothesis There is a newer version of the record available. Published April 30, 2026 | Version v1 Software Open DPAH Markovian Matrix: Dew-Point Anchor Hypothesis – Stochastic Modeling of Tropospheric Attractors (Runs 301–311) Authors/Creators Mulholland, Philip (Researcher) 1 Show affiliations 1.

Independent Researcher Description The Dew-Point Anchor Hypothesis (DPAH) proposes that the troposphere is primarily regulated by the dew-point lifting condensation level (LCL) and associated latent-heat processes rather than radiative forcing alone. This deposit documents the iterative development of a Markovian state-space model (~29,160 states: surface pressure × temperature × dew point × environmental lapse rate). The framework uses a clean physics kernel (moist-adiabatic ascent to LCL followed by hydrostatic + dry-adiabatic descent) to compute stationary distributions for tropical ascent (ITCZ) and subtropical descent regimes. Results demonstrate a robust warm-moist attractor in the ascent regime (mean ~294.8 K, clear peak near 300 K). Systematic sensitivity tests to ocean-surface evaporation suppression (simulating oil films) confirm measurable shifts in the attractor. Full Python scripts (Runs 307–311), reports, and plots are included. This work provides a physics-driven stochastic testbed for mass-motion and water-cycle regulation of tropospheric structure. Files DPAH_Proposal16_Run311_20260430_0712.png Files (843.1 kB) Name Size Download all DPAH_Proposal16_Run311_20260430_0712.png md5:1c54776af4776274cb34cc2db9303ff9 361.6 kB Preview Download DPAH_Report_Proposal16_Run311_20260430_0712.txt md5:6cd084745975f6065a1531bf9a0fb7ba 447 Bytes Preview Download Markov Matrix Iteration03 Run Record 27-30Apr26.xlsx md5:605c0ef56785a4085434cc25638f578e 10.6 kB Download Markovian Matrices NoteBook Flow3 27-30Apr26.docx md5:60ba609807af1f29e08ff8cf3f3b2083 459.3 kB Download README.md md5:98762e17a3954ae6ec1e2563ddd975f6 2.8 kB Preview Download Run311.pv md5:f45394b8b357c9b50e09f84a8aa697d4 8.4 kB Download Additional details Software Programming language Python Development Status Active 243 Views 182 Downloads Show more details All versions This version Views Total views 243 193 Downloads Total downloads 182 152 Data volume Total data volume 104.9 MB 65.9 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Dew-Point Anchor Hypothesis Markov chain tropospheric attractor latent heat ocean surface films stochastic climate modeling Details DOI DOI Badge DOI 10.5281/zenodo.19910413 Markdown [](https://doi.org/10.5281/zenodo.19910413) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19910413.svg :target: https://doi.org/10.5281/zenodo.19910413 HTML <a href="https://doi.org/10.5281/zenodo.19910413"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19910413.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19910413.svg Target URL https://doi.org/10.5281/zenodo.19910413 Resource type Software Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 30, 2026 Modified May 15, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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