2014
DOI: 10.3389/fenvs.2014.00040
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From daily climatic scenarios to hourly atmospheric forcing fields to force Soil-Vegetation-Atmosphere transfer models

Abstract: This paper presents a method to produce long term climatic forcing fields to force Soil-Vegetation-Atmosphere transfer (SVAT) models in off-line mode. The objective is to increase the temporal frequency of existent climate projections databases from daily frequency to hourly time step to be used in impact climate studies. A statistical clustering k-means method is used. A tens of clusters seems to be enough to describe the climate variability in term of wind regimes, precipitation and thermal and humidity ampl… Show more

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Cited by 14 publications
(29 citation statements)
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“…The latest radiation code of ECMWF, ecRad (Hogan and Bozzo, 2016), was implemented in Meso-NH in 2017. This code is highly modular, which allows the user to conveniently choose between multiple options.…”
Section: Radiationmentioning
confidence: 99%
“…The latest radiation code of ECMWF, ecRad (Hogan and Bozzo, 2016), was implemented in Meso-NH in 2017. This code is highly modular, which allows the user to conveniently choose between multiple options.…”
Section: Radiationmentioning
confidence: 99%
“…LCZ A and LCZ B are present in scattered patches, except for the Bouconne Forest (LCZ A) in the west. Hidalgo et al (2014) identified 11 typical meteorological situations (the so-called local weather types) for Toulouse, among which local weather type 9 (WT9) has the highest occurrence frequency in the weather records from 1998 to 2008, particularly in the summer. WT9 is characterized by warm and dry conditions, light northwesterly winds, and a large diurnal temperature range (Hidalgo and Jougla, 2018).…”
Section: Local Climate Zone Map Of Toulousementioning
confidence: 99%
“…Our study did not aim at identifying these days but rather intended to select days with moderate to strong intensities of the multi-scale mountain induced thermal circulation in the study area. Alternative approaches of data processing such as weather type and cluster analysis (e.g., Kaufmann and Weber, 1996;Hidalgo et al, 2014) could be promising to gain further insight to climatological occurrence and behavior of Alpine pumping. In a further step, reanalysis driven regional climate simulations could be complemented by regional climate projections for different climate change scenarios.…”
Section: Summary and Discussionmentioning
confidence: 99%