Journal Article

Analysis of Near-Surface Atmospheric Variables

Franchisteguy, L., Martin, E., Canellas, C., Morel, S., Baillon, M., Durand, Y., Quintana-Seguí, P., Le Moigne, P., Habets, F.

2008

Overview

Système d’analyse fournissant des renseignements atmosphériques à la neige (SAFRAN) is a mesoscale atmospheric analysis system for surface variables. It produces an analysis at the hourly time step using ground data observations. One of SAFRAN’s main features is that it is based on climatically homogeneous zones and is able to take vertical variations into account. Originally intended for mountainous areas, it was later extended to cover France. This paper focuses on the validation of the extended version. The principle of the analysis is described and its quality was tested for five parameters (air temperature, humidity, wind speed, rainfall, and incoming radiation), using Météo-France’s observation network and data of some well-instrumented stations. Moreover, SAFRAN’s rainfall was compared with another analysis, known as analyse utilisant le relief pour l’hydrométéorologie (Aurelhy). Last, two different versions of SAFRAN were compared for mountain conditions. 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. The results of the comparison with some well-instrumented sites were encouraging. SAFRAN is being run operationally at Météo-France on a real-time basis for various applications.

• Publisher: American Meteorological Society
• Subject: Air temperature / Atmospherics / Bias / Climate models / Climatic zones / Coastal zone / Data assimilation / Data transmission / Earth Sciences / Earth, ocean, space / Error analysis / Exact sciences and technology / Expert systems / External geophysics / Forecasting models / Heterogeneity / Hydrology / Meteorology / Modeling / Moisture content / Mountain regions / Mountains / Precipitation / Rainfall / Relative humidity / Remote sensing / Sciences of the Universe / Solar radiation / Weather analysis and prediction / Weather forecasting / Wind speed / Wind velocity