The quiet revolution of numerical weather prediction¶
Bauer, P., Thorpe, A., & Brunet, G. (2015). The quiet revolution of numerical weather prediction. Nature, 525(7567), 47-55.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Chaos
- in dissipative systems or a region of chaotic motion in conservative ones. Meteorology and climate → the rule is the (truncated, parameterized) atmospheric / oceanic / coupled-system dynamical equations; the state space is the discretized field of temperature, pressure, humidity, velocity; sensitive dependence sets the ~10–14 day deterministic forecast horizon, a limit Bauer, Thorpe, and Brunet (2015) survey across the modern numerical weather prediction era
This sourceSurveys the multi-decade improvement of NWP skill (about one day of useful forecast horizon gained per decade) and frames the ~10–14 day deterministic predictability limit as the chaos-imposed boundary on synoptic-scale forecasts.
- in dissipative systems or a region of chaotic motion in conservative ones. Meteorology and climate → the rule is the (truncated, parameterized) atmospheric / oceanic / coupled-system dynamical equations; the state space is the discretized field of temperature, pressure, humidity, velocity; sensitive dependence sets the ~10–14 day deterministic forecast horizon, a limit Bauer, Thorpe, and Brunet (2015) survey across the modern numerical weather prediction era
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Registry ID ref:6d274129ee62 · see in the full table