The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Developments and prospects in synoptic climatology
Abstract
Developments in synoptic climatology in the 1990s included advances in traditional synoptic climatology, empirical downscaling, and dynamical downscaling (i.e. regional climate modelling). The research emphasis in traditional, empirical–statistical approaches to synoptic climatology shifted from methodological development to applications of widely accepted classification techniques, including manual, correlation‐based, eigenvector‐based, compositing and indexing schemes. In contrast, most efforts in empirical downscaling, which became a well‐established field of synoptic climatology during the 1990s, were directed to model development; applications were of secondary concern. Similarly, regional climate models (RCMs) burst onto the scene during the decade and focused on model development, although important progress was made in linking or coupling RCMs to regional or local surface climate systems. This paper discusses prospects for the future of traditional synoptic climatology, empirical downscaling and regional climate modelling. It concludes by looking at the present role of geographic information system (GIS) concepts in synoptic climatology and the potential future role of GIS to the field. Copyright © 2001 Royal Meteorological Society
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The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., et al. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 · Cited by 28,360
Kohonen, T. (2001) · Springer Series in Information Sciences · doi:10.1007/978-3-642-56927-2 · Cited by 16,019
A comprehensive meteorological modeling system?RAMS
Pielke, R. A., Cotton, W. R., Walko, R. L., Tremback, C. J., Lyons, W. A., Grasso, L. D., Nicholls, M. E., Moran, M. D., Wesley, D. A., Lee, T. J., et al. (1992) · Meteorology and Atmospheric Physics · doi:10.1007/bf01025401 · Cited by 1,695
Downscaling general circulation model output: a review of methods and limitations
Wilby, R. L., & Wigley, T. M. L. (1997) · Progress in Physical Geography: Earth and Environment · doi:10.1177/030913339702100403 · Cited by 1,480
Stochastic simulation of daily precipitation, temperature, and solar radiation
Richardson, C. W. (1981) · Water Resources Research · doi:10.1029/wr017i001p00182 · Cited by 1,274
Introduction to special section: Regional Climate Modeling Revisited
Giorgi, F., & Mearns, L. O. (1999) · Journal of Geophysical Research: Atmospheres · doi:10.1029/98jd02072 · Cited by 1,020
Approaches to the simulation of regional climate change: A review
Giorgi, F., & Mearns, L. O. (1991) · Reviews of Geophysics · doi:10.1029/90rg02636 · Cited by 884
Statistical downscaling of general circulation model output: A comparison of methods
Wilby, R. L., Wigley, T. M. L., Conway, D., Jones, P. D., Hewitson, B. C., Main, J., & Wilks, D. S. (1998) · Water Resources Research · doi:10.1029/98wr02577 · Cited by 868
Giorgi, F., Marinucci, M. R., & Bates, G. T. (1993) · Monthly Weather Review · doi:10.1175/1520-0493(1993)121<2794:doasgr>2.0.co;2 · Cited by 770
USE OF A STOCHASTIC WEATHER GENERATOR IN THE DEVELOPMENT OF CLIMATE CHANGE SCENARIOS
SEMENOV, M. A., & BARROW, E. M. (1997) · Climatic Change · doi:10.1023/a:1005342632279 · Cited by 762
Cited by
Machine Learning in Weather Prediction and Climate Analyses—Applications and Perspectives
Bochenek, B., & Ustrnul, Z. (2022) · Atmosphere · doi:10.3390/atmos13020180 · Cited by 325
Climate Change, Tropospheric Ozone and Particulate Matter, and Health Impacts
Ebi, K. L., & McGregor, G. (2008) · Environmental Health Perspectives · doi:10.1289/ehp.11463 · Cited by 317
Alpert, P., Osetinsky, I., Ziv, B., & Shafir, H. (2004) · International Journal of Climatology · doi:10.1002/joc.1036 · Cited by 289
Sanuy, M., Rigo, T., Jiménez, J. A., & Llasat, M. C. (2021) · Hydrology and Earth System Sciences · doi:10.5194/hess-25-3759-2021 · Cited by 34
Metadata
- Authors
- Yarnal, B., Comrie, A. C., Frakes, B., & Brown, D. P.
- Venue
- International Journal of Climatology
- Publisher
- Wiley
- Published
- 2001-12
- Volume
- 21
- Issue
- 15
- Pages
- 1923-1950
- ISSN
- 0899-8418 (ISSN-L)
- 1097-0088
- OpenAlex
- W1978840331
- Cited by
- 303
- References
- 75
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- closed
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