Earth with climate event, policy signal and AI adoption detection markers over South Asia
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AI-Quantum Wave Model · Climate Extension

Climate Change Prediction Model

After Dr. Sudin Baraokar's AI Quantum Wave Model, climate and biology are treated not as two trends to extrapolate but as two waves whose interference sets the regime. Superposition, constructive/destructive interference and barrier tunneling replace linear trend-fitting — then propagate into NDCI, NDVI and ten operational domains.

NDCINDVIFarmLivestockWaterSoilFertiliser & PesticideMicrobiologySeedsFinancingDiseaseSCM

State wave function

Ψ(x,t) = Σ aᵏ e^{i(kᵏ·x − ωᵏt)}

Climate forcing and biological capability are superposed over a policy–agronomy state space.

Regime potential

V(C,B) = α(C−C₀)² + β(B−B₀)² + γ·CB

γ is the coupling term: the same deficit is benign in wet soil and catastrophic in dry.

Hazard energy

H = ⟨Ψᵣ|Ψᵣ⟩ ⊕ drought ⊕ heat ⊕ canopy ⊕ water

Interference energy blended with four observable stressors, clamped to [0,1].

Prediction simulator

Move the indices; the interference wave, hazard band and all ten domain outputs recompute live.

Two-wave interference · Ψclimate ⊗ Ψbio

coupling γ = 0.696
— climate forcing— biological capability— resultant regime signal

Composite hazard

54

ELEVATED

Interference energy

0.989

Drought pressure

62%

Heat pressure

40%

Canopy deficit

38%

Water-quality stress

30%

Domain propagation

Each domain carries its own hazard beta. Click a row for the parameter set and the action it triggers.

Parameters ingested

NDVI trajectoryGDD accumulationsowing window shiftcanopy LAI

Do this now

Hold sowing 6–9 days; pre-position mulch to cut evaporative loss.

Calibrated climate forecasts

Binary, falsifiable, each with a named resolution source. The distribution is deliberately bimodal — a set clustered at 60–70% would be a hedging artifact, not a view.

C1

88%

Kharif 2027 sees at least three Indian states declare deficit-rainfall relief while NDVI at day-45 sits below the 10-year 25th percentile.

Resolves against: IMD sub-divisional rainfall; MODIS/Sentinel-2 NDVI composites

C2

82%

By Dec 2028, parametric crop cover priced off remote-sensing triggers exceeds 15% of gross agri-insurance premium in India.

Resolves against: IRDAI annual report; PMFBY cluster tenders

C3

74%

NDCI-derived eutrophication alerts precede fish-kill or irrigation-quality advisories in ≥5 reservoirs per year by 2029.

Resolves against: CPCB water-quality bulletins; Sentinel-2 NDCI series

C4

69%

Livestock THI above 78 for 20+ days per summer becomes the norm in 4 of 6 major dairy belts by 2030.

Resolves against: IMD station THI reconstruction; NDDB yield panels

C5

61%

Soil organic carbon in rainfed cotton districts declines a further 8% by 2030 absent residue-retention mandates.

Resolves against: ICAR–NBSS&LUP soil surveys

C6

44%

A national fertiliser-subsidy reform explicitly indexes payouts to measured nitrogen-use efficiency before 2030.

Resolves against: Union Budget documents; DoF notifications

C7

33%

Cold-chain interoperability standards make post-harvest loss fall below 6% nationally by 2030.

Resolves against: MoFPI loss assessment studies

What would change our mind

  • A monsoon regime shift that restores rainfall variance to pre-2000 bands would drain the drought term.
  • A step-change in water productivity per unit ET would dissolve the irrigation bottleneck anchoring C1 and C3.
  • Broad adoption of residue retention would flip the soil-carbon forecast (C5) from decline to accrual.

Model lineage: AI Quantum Wave Model (AIQM), Dr. Sudin Baraokar — adapted to agro-climate state space.