A spatial and temporal stochastic cascade analysis of meteorological models and reanalyses
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
The three-model screen
all 1,000 screened works →All three models called this out of scope.
Atmospheric science thesis on cascade structure of weather models and reanalyses; what we learn is about the atmosphere, not about research practice.
The thesis studies stochastic structures in atmospheric models and reanalyses, not research methodology.
Stochastic cascade analysis of weather models and reanalyses; atmospheric science, not study of research methods.
Abstract
This thesis investigates the hypothesis that the stochastic structure of deterministic models of the atmosphere is captured by multiplicative cascade processes. Using data from reanalyses (ERA 40) and two meteorological models (GFS, GEM), we investigate the spatial and temporal cascade structures of the temperature, humidity, and horizontal wind at various altitudes, latitudes, and forecast times. Over the range spanning from the model dissipation scales (â100 km) to at least 5000 km and for statistical moments up to order 2, the cascade predictions are satisfied to typically better than ±1%. In time, we find corresponding cascade structures with outer scales of roughly 15 days. By constructing space-time diagrammes, we find they are roughly linear up to 5-10 days with transformation velocities of about 1000 km/day, as predicted based on the solar energy flux. This transition time scale, which corresponds to planetary size structures, objectively defines the weather/climate transition.
Stored with the screening record, where it is evidence for the labels above.
The record
- Venue
- eScholarship@McGill (McGill)
- Topic
- Educational Reforms and Innovations
- Field
- Environmental Science
- Canadian institutions
- —
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Keywords
- CascadeMultiplicative functionRange (aeronautics)Stochastic modellingTransformation (genetics)DissipationStochastic process
- Has abstract in OpenAlex
- yes