Know more

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie

Purpose

Shelf life

CAS and PHP session cookies

Login credentials, session security

Session

Tarteaucitron

Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie

Purpose

Shelf life

atid

Trace the visitor's route in order to establish visit statistics.

13 months

atuserid

Store the anonymous ID of the visitor who starts the first time he visits the site

13 months

atidvisitor

Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at cil-dpo@inrae.fr or by post at :

INRAE

24, chemin de Borde Rouge -Auzeville - CS52627 31326 Castanet Tolosan cedex - France

Last update: May 2021

Menu Logo Principal logo meteo france logo upv logo juelich Logo EIT LSCE CEA logo alterra Logo  TNO Logo  SUEZ

AGADAPT - Adapting the water use by the agriculture sector

SAFRAN

 SAFRAN (Système d’analyse fournissant des renseignements atmosphériques à la neige) is a mesoscale atmospheric analysis system for surface variables.It produces an analysis at the hourly time step using ground data observations. Originally intended for mountainous areas, it was later extended to cover France. The detailed description can be found in Durand et al. (1993, 2009).

SAFRAN uses an optimal interpolation method to analyze most of the parameters. One of the main features of SAFRAN is that the analyses are performed over climatically homogeneous zones, which are areas of irregular shape covering a surface usually smaller than 1000 km2 and where the horizontal climatic gradients (especially for precipitation) are weak. SAFRAN estimates one value of each parameter for each zone at several altitude levels. Within the zone, analyzed parameters depend only on elevation and aspect. Zones are not isolated: observations from the neighbouring zones are used if necessary. In SAFRAN, both observations from meteorological stations and surface analyzes from numerical weather prediction systems are used. The observations are those collected by Météo-France (French national weather service, www.meteofrance.com). The analyzes are those from the ECMWF (www.ecmwf.int).

Data description

 Source :

 Manipulation

  • Optimal interpolation of observations from meteorological stations and numerical analyzes from numerical weather prediction systems.

Availability

 Spatial and temporal coverage

  • France metropolitan area ;
  • Spatial resolution of 8 km ;
  • From 1958 to present ;
  • Hourly time step.

 Evaluation

Evaluation methodolology (reference, quantities that are compared)

  • Comparison against independent observations from meteorological stations ;
  • Comparison against other methods at a longer time step :
  • For more details see : Quintana-Segui et al. (2008) and Vidal et al. (2010).

 Results of the evaluation

  • Temperature and relative humidity were well reproduced, presenting no bias.
  • Wind speed was also well reproduced; however, its bias was −0.3 m s–1. The interpolation from the 6-h time step of the analysis to the 1-h time step was one of the sources of error.
  • The precipitation analysis was robust and not biased; its root-mean-square error was 2.4 mm day−1. This error was mainly due to the spatial heterogeneity of the precipitation within the geographical zones of analysis (1000 km2).
  • The analysis of incoming solar radiation presented some biases, especially in coastal areas.

 Recommendation

 Strengths and weakness

  • Strengths
    • Temporal coverage up to 1958 with constant method
    • Spatial coverage
    • Combine observations and numerical weather prediction systems
    • Takes into account orography
    • Run operationally every day
    • Quality of the temperature, moisture, wind and precipitation estimates at the daily time step
    • Weaknesses
      • Biases for solar radiation
      • Precipitation estimates at hourly time step

 Limit of validity

  • Data are representative of areas of 8 km x 8 km and for that reason can present differences with local meteorological stations at a very specific location.

 References

Y. Durand, E. Brun, L. Mérindol, G. Guyomarc’h, B. Lesaffre, E. Martin, A meteorological estimation of relevant parameters for snow models, Ann. Glaciol. 18 (1993) 65–71.

Y. Durand, G. Giraud, M. Laternser, P. Etchevers, L. Mérindol, B. Lesaffre, Reanalysis of 47 Years of Climate in the French Alps (1958–2005): Climatology and Trends for Snow Cover, J. Appl. Meteorol. Climatol. 48 (2009) 2487–2512.

P. Quintana-Seguí, P. Le Moigne, Y. Durand, E. Martin, F. Habets, M. Baillon, et al., Analysis of Near-Surface Atmospheric Variables: Validation of the SAFRAN Analysis over France, J. Appl. Meteorol. Climatol. 47 (2008) 92–107.

J.-P. Vidal, E. Martin, L. Franchistéguy, M. Baillon, J.-M. Soubeyroux, A 50-year high-resolution atmospheric reanalysis over France with the Safran system, Int. J. Climatol. 30 (2010) 1627–1644.

PDF version

Read more