Les changements climatiques en France au XXè siècle. Etude des longues séries homogénéisées de données de température et de précipitations.

Moisselin, Jean‐Marc; Schneider, M.; Canellas, Claire

doi:10.4267/2042/36233

Cited by 135 publications

(113 citation statements)

References 9 publications

(5 reference statements)

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“…The conclusion based on previous homogeneity studies (e.g. Moisselin et al, 2002) is that one annual mean adjustment factor for all 12 months should be used. Comparative series of nearby or on-site parallel measurements, however, clearly show that constancy of monthly ratios between two series is very rare.…”

Section: Processing the Data (Homogeneity Tests Outliers Metadata mentioning

confidence: 99%

“…Some (less than 10) series could be electronically completed using data from NOAA's GHCN databank (Vose et al, 1992). The greatest part of the missing 30% and the majority of all metadata had to be collected and digitized from published data in yearbooks (Table II), from compendia of printed data (Millosevich, 1882(Millosevich, , 1885Liznar, 1886;Mohorovičić, 1902;Eredia, 1908Eredia, , 1919Eredia, , 1925Maurer et al, 1909;Schüepp, 1964;Attmannspacher, 1981;SMA, 1981;Penzar et al, 1992;Katušin, 1994;Lukšić, 1996;Moisselin et al, 2002;DHMZ, 1998DHMZ, , 2002 and also from unpublished original sheets and station history files. For the recent 50 years there is nearly 100% coverage with electronic data.…”

Section: Data Sourcesmentioning

confidence: 99%

“…Most of the French series in complete length, some prehomogenized, most series also with metadata in electronic form (Moisselin et al, 2002) …”

Section: Dwd Offenbachmentioning

confidence: 99%

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A new instrumental precipitation dataset for the greater alpine region for the period 1800-2002

et al. 2005

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The paper describes the development of a dataset of 192 monthly precipitation series covering the greater alpine region (GAR,(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18). A few of the time series extend back to 1800. A description is provided of the sometimes laborious processes that were involved in this work: from locating the original sources of the data to homogenizing the records and eliminating as many of the outliers as possible. Locating the records required exhaustive searches of archives currently held in yearbooks and other sources of the states, countries and smaller regional authorities that existed at various times during the last 200 years. Homogeneity of each record was assessed by comparison with neighbouring series, although this becomes difficult when the density of stations reduces in the earliest years. An additional 47 series were used, but the density of the sites in Austria and Switzerland was reduced to maintain an even coverage in space across the whole of the GAR. We are confident of the series back to 1840, but the quality of data before this date must be considered poorer. Of all of the issues involved in homogenizing these data, perhaps the most serious problem is associated with the differences in the height above ground of the precipitation gauges, in particular the general lowering of gauge heights in the late 19th century for all countries, with the exception of Italy. The standard gauge height in the early-to-mid 19th century was 15-30 m above the ground, with gauges being generally sited on rooftops. Adjustments to some series of the order of 30-50% are necessary for compatibility with the near-ground location of gauges during much of the 20th century. Adjustments are sometimes larger in the winter, when catching snowfall presents serious problems. Data from mountain-top observatories have not been included in this compilation (because of the problem of measuring snowfall), so the highest gauge sites are at elevations of 1600-1900 m in high alpine valley locations. Two subsequent papers will analyse the dataset. The first will compare the series with other large-scale precipitation datasets for this region, and the second will describe the major modes of temporal variability of precipitation totals in different seasons and determine coherent regions of spatial variability.

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Section: Processing the Data (Homogeneity Tests Outliers Metadata mentioning

confidence: 99%

Section: Data Sourcesmentioning

confidence: 99%

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A new instrumental precipitation dataset for the greater alpine region for the period 1800-2002

et al. 2005

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“…siècle est de l'ordre de 0.9° C (Moisselin et al, 2002), mais avec une nette accélération sur la dernière décennie de ce siècle (de 0.4 à 0.6°C) et la première du XXIe siècle. Ce réchauffement est plus marqué sur les minimales et dans le nord du pays ainsi que sur les maximales dans le sud.…”

Section: Echogéo 14 | 2010unclassified

Changement climatique et viticulture en Champagne : du constat actuel aux prévisions du modèle ARPEGE-Climat sur l’évolution des températures pour le XXIe siècle

Beltrando¹,

Briche²

2010

echogeo

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“…For rain detection, we use AMSU-B channels 3 to 5, and for validation, the Tropical Rainfall Measuring Mission (TRMM) 3B42 3-hourly accumulated precipitation product. Additional precipitation measurements were used from both Météo-France Séries Quotidiennes de Référence (SQR) database (Moisselin et al, 2002) and radar-derived and rain gauge network data from the Cévennes-Vivarais Mediterranean Hydrometeorological Observatory (OHM-CV; Delrieu et al, 2005). Figure 1 shows PV at 250 hPa for one day of cases 2 (Israel) and 3 (Nîmes-Marseille), as well as the cross section of PV and PV anomaly relative to a one-month mean (i.e., December 2001 andSeptember 2002, respectively).…”

Section: Introductionmentioning

confidence: 99%

Two case studies of severe storms in the Mediterranean using AMSU

2007

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Abstract. Mediterranean storms and their associated upper level features are diagnosed here using Advanced Microwave Sounding Unit (AMSU) observations. AMSU-A channel 8 is used to identify upper-level intrusions of stratospheric air, which are often present upstream of heavy precipitating areas, while a combination of AMSU-B channels 3 and 5 is chosen to discriminate moderate to heavily precipitating areas. This precipitation detection method provides results that are in good agreement with TRMM rainfall product and independent ground-based precipitation data. These tools allow us to follow the concomitant evolution of two severe rainfall events in the Mediterranean region and associated upperlevel features.

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Les changements climatiques en France au XXè siècle. Etude des longues séries homogénéisées de données de température et de précipitations.

Cited by 135 publications

References 9 publications

A new instrumental precipitation dataset for the greater alpine region for the period 1800-2002

A new instrumental precipitation dataset for the greater alpine region for the period 1800-2002

Changement climatique et viticulture en Champagne : du constat actuel aux prévisions du modèle ARPEGE-Climat sur l’évolution des températures pour le XXIe siècle

Two case studies of severe storms in the Mediterranean using AMSU

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