Can NASA POWER monthly wind speed (WS2M) predict hourly wind ramps or battery dispatch?

No. Across 504 monthly observations (1984-2025), NASA POWER WS2M exhibits no statistically significant trend in Campinas (p = 0.4890), Petrolina (p = 0.1734), or Manaus (p = 0.4512). Monthly 2m averages also smooth out 15-minute hub-height gusts, so Cockpit-OMNI explicitly flags intra-hour ramp risk as unsupported.

How does Cockpit-OMNI link Earth's solar Duck Curve to Mars and Lunar rover physics?

Both Cockpit Space Analog (MPTO) and Curve of Duck: Rover Pilot 3D (/game) apply Beer-Lambert optical attenuation (100 * exp(-0.55 * tau)) and a 6-parameter Planetary Context Vector Theta = [g, rho, cpDust, kRegolith, baseTau, albedoIrGain] across Earth, Mars Jezero Crater (Perseverance MEDA), and Moon South Pole Artemis.

Monograph C · Planetary Physics Analog & Epistemic Boundaries

From Duck Curve to Mars: A Planetary Trend-Detection Analog — and Why Monthly Wind Data Can't Claim Ramp Risk

Author: Luiz Antonio Gois Junior · Simulator: Rover Pilot 3D (/game) & Space Analog MPTO

Direct Answer: In Cockpit-OMNI · Curve of Duck, Earth's solar Duck Curve (midday photovoltaic surplus followed by sunset ramp, modulated by wildfire smoke and clouds) and Mars Jezero Crater rover survival obey the exact same Beer-Lambert optical attenuation equation: pvYieldPct = 100 * exp(-0.55 * tau). At the same time, the platform demonstrates scientific falsification honesty by explicitly barring monthly WS2M wind speed (p = 0.4890 in Campinas, 0.1734 in Petrolina, 0.4512 in Manaus) from intra-hour grid-ramp or turbine-gust claims.

1. Why can't monthly NASA POWER wind speed (`WS2M`) support sub-hourly ramp claims?

Direct Answer: Monthly 2m wind averages hide sub-hourly gusts and show zero long-term statistical significance at any Brazilian benchmark station (p > 0.17 everywhere), so claiming battery-dispatch readiness from WS2M would violate empirical validity.

Station (1984–2025, n = 504)	`WS2M` Slope / Decade	95% CI	Seasonal τ	Seasonal p-value	Operational Status in Cockpit-OMNI
Campinas-SP	-0.0042 m/s/dec	[-0.0191, +0.0103]	-0.021	0.4890	Null — Not supported for hourly ramps
Petrolina-PE	-0.0138 m/s/dec	[-0.0433, +0.0168]	-0.042	0.1734	Null — Not supported for hourly ramps
Manaus-AM	-0.0007 m/s/dec	[-0.0034, +0.0013]	-0.023	0.4512	Null — Not supported for hourly ramps

To contrast monthly resolution against high-frequency gust physics, Mission M2 of Rover Pilot 3D pairs the flat monthly WS2M baseline (p = 0.489) with real NASA Mars 2020 MEDA Sol 40 telemetry (19,100 rows: p50 = 2.11 m/s, p99 = 4.11 m/s, max = 5.36 m/s), teaching players why temporal sampling rate determines operational safety. Mission M3 likewise demonstrates deterministic data hygiene by filtering 867 sentinel 999999999.0 values (4.54%) out of the raw MEDA stream.

2. How does the Planetary Context Vector (Θ) unify Earth, Mars, and the Moon?

Direct Answer: Both planetaryPhysics.js and mptoEngine.js execute a single universal transfer physics engine driven by Θ = [g, rho, cpDust, kRegolith, baseTau, albedoIrGain], explicitly labeled PARAMETRIC PHYSICAL MODEL (MPTO) whenever synthetic trajectories are simulated.

Active World ID	Environment	Gravity `g` (m/s²)	Air Density `rho` (kg/m³)	Nominal `baseTau`	Crater IR Albedo Gain
earth_ne	Petrolina-PE · Caatinga Solar Corridor	9.81	1.225	0.22	0.00
earth_se	Campinas-SP · Atlantic/Cerrado	9.81	1.225	0.30	0.00
earth_am	Manaus-AM · Amazon Basin	9.81	1.225	0.35	0.00
mars_jezero	Mars · Jezero Crater (MEDA)	3.71	0.020	0.60	0.04
moon_artemis	Moon · South Pole Crater & Lava Tube	1.62	0.000 (vacuum)	0.05	0.13

Inside the 3D simulation and MPTO orchestrator, 64 m retro-rocket impulse-response inversion (grounded in Vizcaino et al., AIAA DOI 10.2514/1.A35748) separates low-slip compact basalt (1.0x Wh/km) from unconsolidated eolian sand traps in Alpha Crater (>= 44% wheel slip, 1.8x Wh/km energy distance), while seven physical agents (Hebe Radiance, Gemini Vision, Sol Invicta, Bios Guardian informed by NASA OSDR OSD-615, Grok Cratera, Storm Watcher fed by NASA DONKI, and Prudence) operate under a deterministic non-LLM Statistical Auditor veto and open feeds from NASA DSN Now and CelesTrak NORAD GP.