The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Precipitation and Cloud Structure in Midlatitude Cyclones
Open accessAbstract
Composite mean fields and probability distribution functions (PDFs) of rain rate, cloud type and cover, cloud-top temperature, surface wind velocity, and water vapor path (WVP) are constructed using satellite observations of midlatitude cyclones from four oceanic regions (i.e., the North Pacific, South Pacific, North Atlantic, and South Atlantic). Reanalysis surface pressure fields are used to ascertain the locations of the cyclone centers, onto which the satellite fields are interpolated to give a database of ∼1500 cyclones from a two-year period (2003–04). Cyclones are categorized by their strength, defined here using surface wind speed, and by their WVP, and it is found that these two measures can explain a considerable amount of the intercyclone variability of other key variables. Composite cyclones from each of the four ocean basins exhibit similar spatial structure for a given strength and WVP. A set of nine composites is constructed from the database using three strength and three WVP ranges and is used to demonstrate that the mean column relative humidity of these systems varies only slightly (0.58–0.62) for a doubling in WVP (or equivalently a 7-K rise in sea surface temperature) and a 50% increase in cyclone strength. However, cyclone-mean rain rate increases markedly with both cyclone strength and WVP, behavior that is explained with a simple warm conveyor belt model. Systemwide high cloud fraction (tops above 440 hPa) increases from 0.23 to 0.31 as cyclone strength increases by 50%, but does not vary systematically with WVP. It is suggested that the composite fields constitute useful diagnostics for evaluating the behavior of large-scale numerical models, and may provide insight into how precipitation and clouds in midlatitude cyclones respond under a changed climate.
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Cites
The NCEP–NCAR 50–Year Reanalysis: Monthly Means CD–ROM and Documentation
Kistler, R. E., Collins, W., Saha, S., White, G. H., Woollen, J. S., Kalnay, E., Chelliah, M., Ebisuzaki, W., Kanamitsu, M., Kousky, V. E., et al. (2001) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(2001)082<0247:tnnyrm>2.3.co;2 · Cited by 4,212
Atmospheric Modeling, Data Assimilation and Predictability
Kalnay, E. (2002) · doi:10.1017/cbo9780511802270 · Cited by 3,391
Constraints on future changes in climate and the hydrologic cycle
Allen, M. R., & Ingram, W. J. (2002) · Nature · doi:10.1038/nature01092 · Cited by 3,009
Rossow, W. B., & Schiffer, R. A. (1991) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1991)072<0002:icdp>2.0.co;2 · Cited by 1,525
Discriminating clear sky from clouds with MODIS
Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C. C., & Gumley, L. E. (1998) · Journal of Geophysical Research: Atmospheres · doi:10.1029/1998jd200032 · Cited by 1,222
Cloud Feedbacks in the Climate System: A Critical Review
Stephens, G. L. (2005) · Journal of Climate · doi:10.1175/jcli-3243.1 · Cited by 1,129
King, M. D., Kaufman, Y. J., Menzel, W. P., & Tanre, D. (1992) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.124212 · Cited by 1,020
King, M. D., Menzel, W. P., Kaufman, Y. J., Tanre, D., Gao, B.-C., Platnick, S., Ackerman, S. A., Remer, L. A., Pincus, R., & Hubanks, P. A. (2003) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2002.808226 · Cited by 928
(1994) · International Geophysics · doi:10.1016/s0074-6142(08)x6032-2 · Cited by 854
A well‐calibrated ocean algorithm for special sensor microwave / imager
Wentz, F. J. (1997) · Journal of Geophysical Research: Oceans · doi:10.1029/96jc01751 · Cited by 837
Relationships between Water Vapor Path and Precipitation over the Tropical Oceans
Bretherton, C. S., Peters, M. E., & Back, L. E. (2004) · Journal of Climate · doi:10.1175/1520-0442(2004)017<1517:rbwvpa>2.0.co;2 · Cited by 706
Seasonal variation of cloud radiative forcing derived from the Earth Radiation Budget Experiment
Harrison, E. F., Minnis, P., Barkstrom, B. R., Ramanathan, V., Cess, R. D., & Gibson, G. G. (1990) · Journal of Geophysical Research: Atmospheres · doi:10.1029/jd095id11p18687 · Cited by 638
A New Perspective on Southern Hemisphere Storm Tracks
Hoskins, B. J., & Hodges, K. I. (2005) · Journal of Climate · doi:10.1175/jcli3570.1 · Cited by 529
Validation and Sensitivities of Frontal Clouds Simulated by the ECMWF Model
Klein, S. A., & Jakob, C. (1999) · Monthly Weather Review · doi:10.1175/1520-0493(1999)127<2514:vasofc>2.0.co;2 · Cited by 408
A 15-Year Climatology of Warm Conveyor Belts
Eckhardt, S., Stohl, A., Wernli, H., James, P., Forster, C., & Spichtinger, N. (2004) · Journal of Climate · doi:10.1175/1520-0442(2004)017<0218:aycowc>2.0.co;2 · Cited by 370
The Standard Error of Time-Average Estimates of Climatic Means
Leith, C. E. (1973) · Journal of Applied Meteorology · doi:10.1175/1520-0450(1973)012<1066:tseota>2.0.co;2 · Cited by 368
Kennea, T., & Carlson, T. N. (1993) · Transactions of the Institute of British Geographers · doi:10.2307/622471 · Cited by 332
ON THE STRUCTURE OF MOVING CYCLONES
BJERKNES, J. (1919) · Monthly Weather Review · doi:10.1175/1520-0493(1919)47<95:otsomc>2.0.co;2 · Cited by 305
Wentz, F. J., & Smith, D. K. (1999) · Journal of Geophysical Research: Oceans · doi:10.1029/98jc02148 · Cited by 304
Chelton, D. B., & Freilich, M. H. (2005) · Monthly Weather Review · doi:10.1175/mwr-2861.1 · Cited by 281
Thermodynamics of Atmospheres and Oceans
Curry, J. A., & Webster, P. J. (1999) · International geophysics/International geophysics series · doi:10.1016/s0074-6142(99)x8020-x · Cited by 240
Improvement of Microphysical Parameterization through Observational Verification Experiment
Stoelinga, M. T., Hobbs, P. V., Mass, C. F., Locatelli, J. D., Colle, B. A., Houze, R. A., Rangno, A. L., Bond, N. A., Smull, B. F., Rasmussen, R., et al. (2003) · Bulletin of the American Meteorological Society · doi:10.1175/bams-84-12-1807 · Cited by 186
Rainfall Climate Regimes: The Relationship of Regional TRMM Rainfall Biases to the Environment
Berg, W., L'Ecuyer, T., & Kummerow, C. (2006) · Journal of Applied Meteorology and Climatology · doi:10.1175/jam2331.1 · Cited by 179
AMSR Ocean Algorithm, Version 2
Systems, R. S., & Wentz, F. (1999) · doi:10.56236/rss-af · Cited by 160
Multiple Indices of Northern Hemisphere Cyclone Activity, Winters 1949–99
Paciorek, C. J., Risbey, J. S., Ventura, V., & Rosen, R. D. (2002) · Journal of Climate · doi:10.1175/1520-0442(2002)015<1573:mionhc>2.0.co;2 · Cited by 126
Bjerknes, J., & Holmboe, J. (1944) · Journal of Meteorology · doi:10.1175/1520-0469(1944)001<0001:ottoc>2.0.co;2 · Cited by 118
Changes in mid-latitude variability due to increasing greenhouse gases and sulphate aerosols
Carnell, R. E., & Senior, C. A. (1998) · Climate Dynamics · doi:10.1007/s003820050229 · Cited by 114
The Life Cycles of Extratropical Cyclones
(1999) · American Meteorological Society eBooks · doi:10.1007/978-1-935704-09-6 · Cited by 110
North Pacific Cloud Feedbacks Inferred from Synoptic-Scale Dynamic and Thermodynamic Relationships
Norris, J. R., & Iacobellis, S. F. (2005) · Journal of Climate · doi:10.1175/jcli3558.1 · Cited by 105
Tselioudis, G., Zhang, Y., & Rossow, W. B. (2000) · Journal of Climate · doi:10.1175/1520-0442(2000)013<0312:carvaw>2.0.co;2 · Cited by 98
The Observed Annual Cycle in the Meridional Transport of Atmospheric Energy
Oort, A. H. (1971) · Journal of the Atmospheric Sciences · Cited by 77
Algorithm Theoretical Basis Document (ATBD) AMSR Ocean Algorithm
Investigator, P., & Wentz, F. J. (1998) · Cited by 68
L’Ecuyer, T., & Stephens, G. L. (2002) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.200212858316 · Cited by 36
(2003) · doi:10.1175/1520-0442(2003)016
Cited by
Storm track processes and the opposing influences of climate change
Shaw, T. A., Baldwin, M., Barnes, E. A., Caballero, R., Garfinkel, C. I., Hwang, Y.-T., Li, C., O'Gorman, P. A., Rivière, G., Simpson, I. R., et al. (2016) · Nature Geoscience · doi:10.1038/ngeo2783 · Cited by 615
Quantifying the Relevance of Cyclones for Precipitation Extremes
Pfahl, S., & Wernli, H. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00705.1 · Cited by 395
How much Northern Hemisphere precipitation is associated with extratropical cyclones?
Hawcroft, M. K., Shaffrey, L. C., Hodges, K. I., & Dacre, H. F. (2012) · Geophysical Research Letters · doi:10.1029/2012gl053866 · Cited by 377
Pleim, J. E., & Xiu, A. (1995) · Journal of Applied Meteorology and Climatology · doi:10.1175/1520-0450-34.1.16 · Cited by 321
Origins of the Solar Radiation Biases over the Southern Ocean in CFMIP2 Models*
Bodas-Salcedo, A., Williams, K. D., Ringer, M. A., Beau, I., Cole, J. N. S., Dufresne, J.-L., Koshiro, T., Stevens, B., Wang, Z., & Yokohata, T. (2014) · Journal of Climate · doi:10.1175/jcli-d-13-00169.1 · Cited by 313
Metadata
- Authors
- Field, P. R., & Wood, R.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2007-01-15
- Volume
- 20
- Issue
- 2
- Pages
- 233-254
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2010923157
- Cited by
- 298
- References
- 34
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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