Le régime du Rhône

Pardé, Maurice

doi:10.3406/rga.1925.4941

Cited by 41 publications

(15 citation statements)

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“…The same conclusion was also reached in the previous section from the comparison between the Rhone and other large rivers of the world. Moreover, the sediment flux inferred from the steady-state calculation (21-56 Â 10 6 t yr À1 ) is on the same order as those estimated by Surell (1847), Pardé (1925Pardé ( , 1942 and Milliman and Meade (1983) for the 19th and the beginning of the 20th century (21-45 Â 10 6 t yr À1 , i.e. about 15-35 Â 10 6 t yr À1 corrected for carbonates).…”

Section: Physical Versus Chemical Erosion In the Rhone Rivermentioning

confidence: 86%

“…By contrast, a strong decrease appears clearly, when compared to the estimates reported for the 19th and the beginning of the 20th century. Indeed, Surell (1847), Pardé (1925Pardé ( , 1942 and Milliman and Meade (1983) showed that the predamming total amount of suspended matter entering the Gulf of Lions was as high as 21 Â 10 6 t yr À1 , 31 Â 10 6 t yr À1 and 45 Â 10 6 t yr À1 .…”

Section: Atmosphere (%)mentioning

confidence: 97%

“…34%, 20% and 17% of the dissolved load in the Loire river). Since the major element composition of this input is close to that selected for the silicate contribution, it is not possible to distinguish between them without (1847), Pardé (1925Pardé ( , 1942 and Milliman and Meade (1983) during the 19th and the beginning of the 20th century (pre-damming period). Mean value (-) and standard deviation (--) of SPM flux for period 1967-2003 are also indicated.…”

Section: Referencesmentioning

confidence: 99%

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Seasonal variations of physical and chemical erosion: A three-year survey of the Rhone River (France)

Ollivier

Hamelin

Radakovitch

2010

Geochimica et Cosmochimica Acta

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Section: Physical Versus Chemical Erosion In the Rhone Rivermentioning

confidence: 86%

Section: Atmosphere (%)mentioning

confidence: 97%

Section: Referencesmentioning

confidence: 99%

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Seasonal variations of physical and chemical erosion: A three-year survey of the Rhone River (France)

Ollivier

Hamelin

Radakovitch

2010

Geochimica et Cosmochimica Acta

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“…In this particular case, this may be due to the peculiar convergence of meteorological features (snow cover feedback, temperature inversion, etc., see U., 1884; Angot, 1881) that may hardly be captured by 20CR and/or our downscaling method. Extremely hot seasons are generally well simulated, especially recent summers like 1976 (Brochet, 1977) or 2003 (Trigo et al, 2005), but also much older events like spring 1893 (Plumandon, 1893). Figure 15 shows the corresponding evolution of precipitation for Paris Montsouris.…”

Section: Temporal Reconstruction: Time Series At Paris Montsourismentioning

confidence: 96%

“…Marti and Lepelletier, 1997) but also other important floods on the Rhine or Rhône (Pardé, 1925) tributaries. Figure 16 shows the map of December 1909 precipitation adapted from Angot (1911, Pl.…”

Section: Spatial Reconstruction: December 1909 Precipitation Over Francementioning

confidence: 99%

Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France

Caillouet¹,

Vidal²,

Sauquet³

et al. 2016

Clim. Past

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Abstract. This work proposes a daily high-resolution probabilistic reconstruction of precipitation and temperature fields in France over the 1871-2012 period built on the NOAA Twentieth Century global extended atmospheric reanalysis (20CR). The objective is to fill in the spatial and temporal data gaps in surface observations in order to improve our knowledge on the local-scale climate variability from the late nineteenth century onwards.The SANDHY (Stepwise ANalogue Downscaling method for HYdrology) statistical downscaling method, initially developed for quantitative precipitation forecast, is used here to bridge the scale gap between large-scale 20CR predictors and local-scale predictands from the Safran high-resolution near-surface reanalysis, available from 1958 onwards only. SANDHY provides a daily ensemble of 125 analogue dates over the 1871-2012 period for 608 climatically homogeneous zones paving France. Large precipitation biases in intermediary seasons are shown to occur in regions with high seasonal asymmetry like the Mediterranean. Moreover, winter and summer temperatures are respectively over-and under-estimated over the whole of France.Two analogue subselection methods are therefore developed with the aim of keeping the structure of the SANDHY method unchanged while reducing those seasonal biases. The calendar selection keeps the analogues closest to the target calendar day. The stepwise selection applies two new analogy steps based on similarity of the sea surface temperature (SST) and the large-scale 2 m temperature (T ). Comparisons to the Safran reanalysis over 1959-2007 and to homogenized series over the whole twentieth century show that biases in the interannual cycle of precipitation and temperature are reduced with both methods. The stepwise subselection moreover leads to a large improvement of interannual correlation and reduction of errors in seasonal temperature time series. When the calendar subselection is an easily applicable method suitable in a quantitative precipitation forecast context, the stepwise subselection method allows for potential season shifts and SST trends and is therefore better suited for climate reconstructions and climate change studies.The probabilistic downscaling of 20CR over the period 1871-2012 with the SANDHY probabilistic downscaling method combined with the stepwise subselection thus constitutes a perfect framework for assessing the recent observed meteorological events but also future events projected by climate change impact studies and putting them in a historical perspective.

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2019

Sedimentary Crisis at the Global Scale 1

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Le régime du Rhône

Cited by 41 publications

References 0 publications

Seasonal variations of physical and chemical erosion: A three-year survey of the Rhone River (France)

Seasonal variations of physical and chemical erosion: A three-year survey of the Rhone River (France)

Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France

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