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Record W4233801624 · doi:10.1007/0-387-30749-4_117

Models, climatic

2006· book-chapter· en· W4233801624 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
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.

Bibliographic record

VenueKluwer Academic Publishers eBooks · 2006
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

Balling, R. C., 1984. Classification in climatology in Spatial Statistics and Models, G. L. Gaile and C. J. Willmott (eds.). Dordrecht, Holland: Reidel. Google Scholar Barry, R. G., 1978. Recent advances in climate theory based on simple climate models, Prog. Phys. Geog. 3, 119–131. Google Scholar Barry, R. G., A. D. Hecht, J. E. Kutzback, W. D. Sellers, T. Webb, and P. B. Wright, 1979. Climatic change, Rev. Geophys. Space Phys. 17, 1803–1813. Google Scholar Chang, J. (ed.), 1977. General Circulation Models of the Atmosphere, vol. 17, Methods in Computational Physics. New York: Academic Press. Google Scholar Craddock, J. M., 1973. Problems and prospects for eigenvector analysis in meteorology, Statistician 22, 133–145. CrossRef Google Scholar Erbs, D. G., S. A. Klein, and J. A. Duffie, 1982. Estimation of the diffuse radiation fraction for hourly, daily and monthly average global radiation, Solar Energy 28, 293–302. CrossRef Google Scholar Global Atmospheric Research Programme, WMO-ICSU Joint Organizing Committee (GARP/JOC), 1975. The Physical Basis of Climate and Climate Modelling. Garp Pub. Ser. No. 16. Geneva: World Meteorological Organization. Google Scholar Granger, O. E., 1981. Climatic variation in California: Looking ahead to 2000 A.D., Phys. Geog. 2, 47–61. Google Scholar Gribbin, J. (ed.), 1978. Climatic Change. New York: Cambridge University Press. Google Scholar Horn, L. H., and R. A. Bryson, 1960. Harmonic analysis of the annual march of precipitation, Assoc. Am. Geog. Annals 50, 157–171. CrossRef Google Scholar Hunt, B. G., 1977. A simulation of the possible consequences of a volcanic eruption on the general circulation of the atmosphere, Monthly Weather Rev. 105, 247–260. CrossRef Google Scholar Jensen, M. E. (ed.), 1973. Consumptive Use of Water and Irrigation on Water Requirements. New York: American Society of Civil Engineers. Google Scholar Johnston, R. J., 1981. Regarding the delimitation of regions according to climatic fluctuations, Archiv Meteorologie, Geophysik, u. Bioklimatologie B29, 215–228. CrossRef Google Scholar Jones, T. A., 1979. Fitting straight lines when both variables are subject to error. 1. Maximum likelihood and least squares, Math. Geol. 11, 1–26. CrossRef Google Scholar Landsberg, J. J., 1981. The use of models in interpreting plant response to weather, in Plants and Their Atmospheric Environment. J. Grace, E. D. Ford, and P. G. Jarvis (eds.). London: Blackwell, pp. 369–389. Google Scholar Levine, R. D., 1982. Supercomputers, Sci. American 246, 118–135. CrossRef Google Scholar Marland, G., and R. M. Rotty, 1979. Carbon dioxide and climate, Rev. Geophys. Space Phys. 17, 1813–1824. Google Scholar Mather, J. R., R. T. Field, L. S. Kalkstein, and C. J. Willmott, 1980. Climatology: The challenge for the eighties, Prof. Geographer 32, 285–292. CrossRef Google Scholar Meehl, G. A., 1984. Modeling the earth's climate, Climatic Change 6, 259–286. CrossRef Google Scholar Mintz, Y., 1983. The sensitivity of numerically simulated climates to land-surface conditions, in The Global Climate, J. Houghton (ed.). New York: Cambridge University Press. Google Scholar Miyakoda, K., and R. F. Strickler, 1981. Cumulative results of extended forecast experiment. III: Precipitation, Monthly Weather Rev. 190, 830–842. CrossRef Google Scholar Outcalt, S. I., 1971. A numerical surface climate simulator, Geog. Analysis 3, 379–393. CrossRef Google Scholar Rayner, J. N., 1967. A statistical model for the explanatory description of large scale time and spatial climate, Canadian Geographer 11, 68–86. CrossRef Google Scholar Rayner, J. N., 1971. An Introduction to Spectral Analysis. London: Pion. Google Scholar Rayner, J. N., 1984. Simulation models in climatology, in Spatial Statistics and Models, G. L. Gaile and C. J. Willmott (eds). Dordrecht, Holland: D. Reidel. Google Scholar Rietveld, M. R., 1978. A new method for estimating the regression coefficients in the formula relating solar radiation to sunshine, Agricult. Meteorol. 19, 243–252. CrossRef Google Scholar Rosenberg, N. J., 1974. Microclimate: The Biological Environment. New York: Wiley. Google Scholar Russell, J. S., and A. W. Moore, 1976. Classification of climate by pattern analysis with Australasian and southern African data as an example, Agricult. Meteorol. 16, 45–70. CrossRef Google Scholar Satterlund, D. R., 1979. An improved equation for estimating long-wave radiation from the atmosphere, Water Resources Research 15, 1649–1650. Google Scholar Schneider, S. H., and R. E. Dickinson, 1974. Climate modeling, Rev. Geophys. Space Phys. 12, 447–493. Google Scholar Sellers, P. J., and J. G. Lockwood, 1981. A computer simulation of the effects of differing crop types on the water balance of small catchments over long periods, Royal Meteorol. Soc. Quart. Jour. 107, 395–414. CrossRef Google Scholar Sellers, W. D., 1965. Physical Climatology. Chicago: The University of Chicago Press. Google Scholar Shine, K. P., and A. Henderson-Sellers, 1983. Modelling climate and the nature of climate models: A Review, Jour. Climatol. 3, 81–94. CrossRef Google Scholar Shukla, J., and Y. Mintz, 1982. Influence of land-surface evapotranspiration on the Earth's climate, Science 215, 1498–1501. Google Scholar Steiner, D., 1965. A multivariate statistical approach to climatic regionalization and classification, Koninkl. Nederlandsch Aardrijksk. Genoot. Tijdschr. 82, 329–347. Google Scholar Steyn, D. G., T. R. Oke, J. E. Hay, and J. L. Knox, 1981. On scales in meteorology and climatology. Climatological Bull. 30, 1–8. Google Scholar Terjung, W. H., 1976. Climatology for geographers, Assoc. Am. Geog. Annals 66, 199–222. CrossRef Google Scholar Terjung, W. H., and P. A. O'Rourke, 1980. Simulating the causal elements of urban heat islands. Boundary Layer Meteorol. 19, 93–118. CrossRef Google Scholar Vowinckel, E., and S. Orvig, 1972. EBBA: An Energy Budget Programme, Pub. in Meteorol. No. 5. Montreal: McGill University. Google Scholar Walsh, J. E., M. B. Richman, and D. A. Allen, 1982. Coherence of monthly precipitation in the United States, Monthly Weather Rev. 110, 272–286. CrossRef Google Scholar Willmott, C. J., 1978. P-mode principal components analysis, grouping and precipitation regions in California, Archiv Meteorologie, Geophysik, u. Bioklimatologie B26, 277–295. CrossRef Google Scholar Willmott, C. J., and M. T. Vernon, 1980. Solar climates of the conterminous United States: A preliminary investigation, Solar Energy 24, 295–302. CrossRef Google Scholar Cross-references Boundary Layer Climatology ; Climatic Classification ; Dynamic Climatology ; Energy Budget Climatology ; Water Budget Analysis . Download references

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.229
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it