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A 50‐year high‐resolution atmospheric reanalysis over France with the Safran system
Open accessAbstract
The assessment of regional climate change requires the development of reference long‐term retrospective meteorological datasets. This article presents an 8‐km‐resolution atmospheric reanalysis over France performed with the the Safran‐gauge‐based analysis system for the period 1958–2008. Climatological features of the Safran 50‐year analysis—long‐term mean values, inter‐annual and seasonal variability—are first presented for all computed variables: rainfall, snowfall, mean air temperature, specific humidity, wind speed and solar and infrared radiation. The spatial patterns of precipitation, minimum and maximum temperature are compared with another spatialization method, and the temporal consistency of the reanalysis is assessed through various validation experiments with both dependent and independent data. These experiments demonstrate the overall robustness of the Safran reanalysis and the improvement of its quality with time, in connection with the sharp increase in the observation network density that occurred in the 1990s. They also show the differentiated sensitivity of variables to the number of available ground observations, with precipitation and air temperature being the more robust ones. The comparison of trends from the reanalysis with those from homogenized series finally shows that if spatial patterns are globally consistent with both approaches, care must be taken when using literal values from the reanalysis and corresponding statistical significance in climate change detection studies. The Safran 50‐year atmospheric reanalysis constitutes a long‐term forcing datasets for land surface schemes and thus enables the simulation of the past 50 years of water resources over France. Copyright © 2009 Royal Meteorological Society
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Cites
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
Nonparametric Tests Against Trend
Mann, H. B. (1945) · Econometrica · doi:10.2307/1907187 · Cited by 17,144
Summarizing multiple aspects of model performance in a single diagram
Taylor, K. E. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd900719 · Cited by 8,477
Uppala, S. M., KÅllberg, P. W., Simmons, A. J., Andrae, U., Bechtold, V. D. C., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly, G. A., et al. (2005) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.04.176 · Cited by 6,804
NCEP–DOE AMIP-II reanalysis (R-2)
Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.-K., Hnilo, J. J., Fiorino, M., & Potter, G. L. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/bams-83-11-1631 · Cited by 5,771
A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5)
Grell, G., Dudhia, J., & Stauffer, D. (1994) · doi:10.5065/d60z716b · Cited by 3,822
North American Regional Reanalysis
Mesinger, F., DiMego, G., Kalnay, E., Mitchell, K., Shafran, P. C., Ebisuzaki, W., Jović, D., Woollen, J., Rogers, E., Berbery, E. H., et al. (2006) · Bulletin of the American Meteorological Society · doi:10.1175/bams-87-3-343 · Cited by 3,378
Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D., & New, M. (2008) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd010201 · Cited by 2,437
A high-resolution data set of surface climate over global land areas
New, M., Lister, D., Hulme, M., & Makin, I. (2002) · Climate Research · doi:10.3354/cr021001 · Cited by 2,246
Sheffield, J., Goteti, G., & Wood, E. F. (2006) · Journal of Climate · doi:10.1175/jcli3790.1 · Cited by 1,942
Assessing objective techniques for gauge‐based analyses of global daily precipitation
Chen, M., Shi, W., Xie, P., Silva, V. B. S., Kousky, V. E., Wayne Higgins, R., & Janowiak, J. E. (2008) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2007jd009132 · Cited by 1,250
A Gauge-Based Analysis of Daily Precipitation over East Asia
Xie, P., Chen, M., Yang, S., Yatagai, A., Hayasaka, T., Fukushima, Y., & Liu, C. (2007) · Journal of Hydrometeorology · doi:10.1175/jhm583.1 · Cited by 1,138
RAMS 2001: Current status and future directions
Cotton, W. R., Pielke, R. A., Walko, R. L., Liston, G. E., Tremback, C. J., Jiang, H., McAnelly, R. L., Harrington, J. Y., Nicholls, M. E., Carrio, G. G., et al. (2003) · Meteorology and Atmospheric Physics · doi:10.1007/s00703-001-0584-9 · Cited by 908
Homogeneity of 20th century European daily temperature and precipitation series
Wijngaard, J. B., Klein Tank, A. M. G., & Können, G. P. (2003) · International Journal of Climatology · doi:10.1002/joc.906 · Cited by 904
A precipitation climatology of the Alps from high-resolution rain-gauge observations
Frei, C., & Schär, C. (1998) · International Journal of Climatology · doi:10.1002/(sici)1097-0088(19980630)18:8<873::aid-joc255>3.0.co;2-9 · Cited by 879
Objective Analysis of Meteorological Fields
Gandin, L. S. (1963) · Medical Entomology and Zoology · Cited by 826
Ritter, B., & Geleyn, J.-F. (1992) · Monthly Weather Review · doi:10.1175/1520-0493(1992)120<0303:acrsfn>2.0.co;2 · Cited by 817
The ISBA land surface parameterisation scheme
Joel Noilhan, L., & Mahfouf, J. (1996) · Global and Planetary Change · doi:10.1016/0921-8181(95)00043-7 · Cited by 748
The New NMC Mesoscale Eta Model: Description and Forecast Examples
Black, T. L. (1994) · Weather and Forecasting · doi:10.1175/1520-0434(1994)009<0265:tnnmem>2.0.co;2 · Cited by 657
Analysis of Near-Surface Atmospheric Variables: Validation of the SAFRAN Analysis over France
Quintana-Seguí, P., Le Moigne, P., Durand, Y., Martin, E., Habets, F., Baillon, M., Canellas, C., Franchisteguy, L., & Morel, S. (2008) · Journal of Applied Meteorology and Climatology · doi:10.1175/2007jamc1636.1 · Cited by 633
Self-citationThe ARPEGE/IFS atmosphere model: a contribution to the French community climate modelling
Déqué, M., Dreveton, C., Braun, A., & Cariolle, D. (1994) · Climate Dynamics · doi:10.1007/bf00208992 · Cited by 590
Can climate trends be calculated from reanalysis data?
Bengtsson, L., Hagemann, S., & Hodges, K. I. (2004) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2004jd004536 · Cited by 566
Sensitivity studies with the regional climate model REMO
Jacob, D., & Podzun, R. (1997) · Meteorology and Atmospheric Physics · doi:10.1007/bf01025368 · Cited by 509
The generation of monthly gridded datasets for a range of climatic variables over the UK
Perry, M., & Hollis, D. (2005) · International Journal of Climatology · doi:10.1002/joc.1161 · Cited by 457
Evaluation of Global Precipitation in Reanalyses
Bosilovich, M. G., Chen, J., Robertson, F. R., & Adler, R. F. (2008) · Journal of Applied Meteorology and Climatology · doi:10.1175/2008jamc1921.1 · Cited by 408
Comparison of six methods for the interpolation of daily, European climate data
Hofstra, N., Haylock, M., New, M., Jones, P., & Frei, C. (2008) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd010100 · Cited by 388
Objective analyses and mapping techniques for rainfall fields: An objective comparison
Creutin, J. D., & Obled, C. (1982) · Water Resources Research · doi:10.1029/wr018i002p00413 · Cited by 370
Simmons, A. J., Jones, P. D., da Costa Bechtold, V., Beljaars, A. C. M., Kållberg, P. W., Saarinen, S., Uppala, S. M., Viterbo, P., & Wedi, N. (2004) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2004jd005306 · Cited by 359
Updated and extended European dataset of daily climate observations
Klok, E. J., & Klein Tank, A. M. G. (2009) · International Journal of Climatology · doi:10.1002/joc.1779 · Cited by 336
A computer-based system simulating snowpack structures as a tool for regional avalanche forecasting
Durand, Y., Giraud, G., Brun, E., Mérindol, L., & Martin, É. (1999) · Journal of Glaciology · doi:10.1017/s0022143000001337 · Cited by 329
Detection and Correction of Artificial Shifts in Climate Series
Caussinus, H., & Mestre, O. (2004) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/j.1467-9876.2004.05155.x · Cited by 281
OBJECTIVE ANALYSIS OF METEOROLOGICAL FIELDS
Marchuk, G. I. (1974) · Numerical Methods in Weather Prediction · doi:10.1016/b978-0-12-470650-7.50013-x · Cited by 263
Recent Changes in Surface Humidity: Development of the HadCRUH Dataset
Willett, K. M., Jones, P. D., Gillett, N. P., & Thorne, P. W. (2008) · Journal of Climate · doi:10.1175/2008jcli2274.1 · Cited by 245
On the (In)Homogeneity of Reanalysis Products
Sterl, A. (2004) · Journal of Climate · doi:10.1175/1520-0442(2004)017<3866:otiorp>2.0.co;2 · Cited by 199
Rüdiger, C., Calvet, J.-C., Gruhier, C., Holmes, T. R. H., de Jeu, R. A. M., & Wagner, W. (2009) · Journal of Hydrometeorology · doi:10.1175/2008jhm997.1 · Cited by 189
The HIRHAM Regional Climate Model. Version 5 (beta)
Christensen, O. B., Drews, M., Christensen, J. H., Dethloff, K., Ketelsen, K., Hebestadt, I., & Rinke, A. (2007) · Cited by 154
Dynamical Global Downscaling of Global Reanalysis
Yoshimura, K., & Kanamitsu, M. (2008) · Monthly Weather Review · doi:10.1175/2008mwr2281.1 · Cited by 124
Bengtsson, L. G., Hodges, K. I., & Hagemann, S. (2004) · Tellus A Dynamic Meteorology and Oceanography · doi:10.1111/j.1600-0870.2004.00079.x · Cited by 121
Castro, C. L., Pielke, R. A., Adegoke, J. O., Schubert, S. D., & Pegion, P. (2007) · Journal of Climate · doi:10.1175/jcli4212.1 · Cited by 113
Reichler, T. J., & Kim, J. (2008) · Journal of Geophysical Research Atmospheres · doi:10.1029/2007jd009278 · Cited by 83
The objective analysis of daily rainfall by distance weighting schemes on a Mesoscale grid
Bussières, N., & Hogg, W. D. (1989) · ATMOSPHERE-OCEAN · doi:10.1080/07055900.1989.9649350 · Cited by 69
Castro, C. L., Pielke, R. A., & Adegoke, J. O. (2007) · Journal of Climate · doi:10.1175/jcli4211.1 · Cited by 61
(2003) · doi:10.1175/1520-0442(2003)016
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Tootchi, A., Jost, A., & Ducharne, A. (2019) · Earth System Science Data · doi:10.5194/essd-11-189-2019 · Cited by 165
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Santos, L., Thirel, G., & Perrin, C. (2018) · Hydrology and Earth System Sciences · doi:10.5194/hess-22-4583-2018 · Cited by 148
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Metadata
- Authors
- Vidal, J., Martin, E., Franchistéguy, L., Baillon, M., & Soubeyroux, J.
- Venue
- International Journal of Climatology
- Publisher
- Wiley
- Published
- 2009-09-03
- Volume
- 30
- Issue
- 11
- Pages
- 1627-1644
- ISSN
- 0899-8418 (ISSN-L)
- 1097-0088
- OpenAlex
- W1979110338
- Cited by
- 788
- References
- 43
- FWCI
- 8.03
- Type
- journal article
- Language
- en
- Open access
- green
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