Les normales climatiques spatialisées Aurelhy 1981-2010 : températures et précipitations

Canellas, Claire; Gibelin, Anne-Laure; Lassègues, Pierre; Kerdoncuff, Maryvonne; Dandin, Philippe; Simon, P.

doi:10.4267/2042/53750

Cited by 12 publications

(15 citation statements)

References 3 publications

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“…Canellas et al . () analysed the climatology of precipitation over France with similar results as previous findings for Paris. While previous studies were based on a limited number of fixed stations, the COMEPHORE analysis (Section 2.3) enables a finer scale analysis of the precipitation spatial distribution, and for a long period covering 1997–2012.…”

Section: Resultssupporting

confidence: 72%

Long time series spatialized data for urban climatological studies: A case study of Paris, France

Roy

Lemonsu

Kounkou-Arnaud

et al. 2020

Intl Journal of Climatology

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Historically, the urban climate and its interaction with regional environment and larger‐scale meteorological phenomena have been studied by comparing weather stations in urban and surrounding rural areas. Nevertheless, spatialized meteorological data are now available with different spatial resolutions, temporal frequencies, and time depths. Here with the Paris area as a case study, three products were selected for their comparable spatial resolution of 1 km, their daily frequency, and a minimum 15‐year time period with substantial common overlap: the MODIS products for land surface temperature (2000–2016), daily maps of minimum and maximum 2‐m air temperatures (2000–2017) based on a statistical method of spatialization, and the COMEPHORE analysis for precipitation (1997–2012). Several spatialized indicators were used to monitor the urban climate and its impact on local climate. The intensity and spatial extent of both the surface urban heat island (SUHI) and the urban heat island of urban canopy layer (UHI), as well as the effect of the city on precipitation, were characterized. Based on these indicators, a climatological study was made for the Paris urban area and its surroundings. The comparison of (S)UHI climatologies showed that both phenomena (qualified by their intensity and spatial extent) have comparable seasonalities and orders of magnitude at night. The maximum intensity is reached in July, with more than 60% of the city affected by high temperatures. However, the phenomena differ during the day: the SUHI is mostly driven by the differences in surface properties between urban and rural environments, whereas the UHI is more influenced by general wind circulation and local atmospheric turbulence. Finally, the COMEPHORE analysis highlighted the influence of the Paris urban area on rainfall. It is observed throughout the year with an excess in daily precipitation of 29% downwind of the city, with some seasonal variability showing a more pronounced effect in summer.

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Section: Resultssupporting

confidence: 72%

Long time series spatialized data for urban climatological studies: A case study of Paris, France

Roy

Lemonsu

Kounkou-Arnaud

et al. 2020

Intl Journal of Climatology

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“…Secondly, the rapid climate warming recorded in the French metropolitan area from the 1980s onwards [46,47], and the seasonal precipitation changes, especially a lowering of summer rainfall [47,48], has resulted in a period of drought that may have constituted a selective advantage for P. sylvestris due to its low water requirements and optimal stomatal regulation [49]. Thirdly, these climatic variations may have had consequences for the phenology and duration of the season of vegetation.…”

Section: Discussionmentioning

confidence: 99%

The Spatiotemporal Dynamics of Forest–Heathland Communities over 60 Years in Fontainebleau, France

Mobaied

Machon

Lalanne

et al. 2015

IJGI

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According to the EU Habitats Directive, heathlands are "natural habitats of community interest". Heathland management aims at conserving these habitats threatened by various changes, including successional processes leading to forest vegetation. We investigate the dynamics of woody species to the detriment of heathland over a period of 60 years in the Fontainebleau forest and we examine the effects of soil types, soil depth and topography parameters on heathland stability. We assess changes in forest cover between 1946 and 2003 by comparing vegetation maps derived from aerial photographs coupled to GIS analyses. The results show the loss of more than 75% of heathland during 1946-2003 due to tree colonisation of abandoned heathland. We detected differences in the dynamics of colonisation between coniferous and deciduous trees. The colonisation of heathland by coniferous species was faster over the last 20 years of our study period. Tree encroachment was faster in north-facing areas and in areas of acidic luvisols. While this dynamic was very slow in acid sandstone soils, heathland stability was more important in shallow soils on flat and south facing areas. Our study has the potential to assist land managers in selecting those heathland areas that will be easier to conserve and/or to restore by focusing on areas and

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“…-Monthly climatological fields of daily minimum and maximum temperatures produced on a 1 km regular grid using the Aurelhy method (Benichou and Le Breton, 1987) applied over the 1981-2010 period (Canellas et al, 2014). This is an interpolation that takes the statistical relationship between orography and temperature at climatological time scale into account.…”

Section: Methodsmentioning

confidence: 99%

Climate monitoring and heat and cold waves detection over France using a new spatialization of daily temperature extremes from 1947 to present

et al. 2019

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Abstract. For many years real-time climate monitoring for temperature over France has been performed using a national index built by averaging the daily mean temperatures of constant subset of 30 stations with long-term series. In order to derive climate indices at finer scales, a spatialization of extreme daily temperatures (called ANASTASIA) had been produced on a 1 km regular grid using a regression-kriging method. The production covers 1947 to present period. Cross-validation shows low biases after the 1960s. The temporal homogeneity of the product is satisfying at the national scale from the 1970s. However, a high impact of the network density has been found and the use of a too coarse observation network deteriorates the analysis creating temporal heterogeneities. Finally, the ANASTASIA analysis has been used for real-time monitoring over France and detection of heat and cold wave episodes. The new products based on ANASTASIA are consistent with the current operational ones at national scale while bringing added values at local scales.

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Les normales climatiques spatialisées Aurelhy 1981-2010 : températures et précipitations

Abstract: Résumé

Cited by 12 publications

References 3 publications

Long time series spatialized data for urban climatological studies: A case study of Paris, France

Long time series spatialized data for urban climatological studies: A case study of Paris, France

The Spatiotemporal Dynamics of Forest–Heathland Communities over 60 Years in Fontainebleau, France

Climate monitoring and heat and cold waves detection over France using a new spatialization of daily temperature extremes from 1947 to present

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