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Ashley?M.?BroadbentEmail authorView author&#;s OrcID profile Andrew?M.?Coutts Nigel?J.?Tapper Matthias?Demuzere Jason?Beringer 《Theoretical and Applied Climatology》2018,131(1-2):1-17
There is still considerable uncertainty about precipitation at high elevation in mountain terrain due to the relatively few in situ measurements available and to the particular variability of the parameter. In this study, several spatialization techniques were tested, some for climatological time scale and others for daily fields, for precipitation over the western Alps for the period of 1990–2012. The study domain and period were chosen for the quality of available in situ observations and density of the network. First, a weather-type classification was established with a technique based on canonical correlation analysis combining large- and regional-scale data. The spatialization techniques applied for the climatological time scale were adapted from the Aurelhy method which uses elevation and principal components of the topography as predictors. The spatialization techniques applied to daily fields were based on kriging of daily rain gauges and used the climatological fields as predictors. This study aims to validate the advantage of using the climatology of the weather type of the day as predictor for daily fields over a monthly climatology. The climatology of the weather type of the day seems to demonstrate some small improvement.Finally, annual means over the period of 1990–2012 were produced using several methods, including some from accumulation of daily fields and others from the spatialization of in situ station means. Precipitation at high elevations and vertical climatological gradients were particularly scrutinized. Annual means based on sums of daily fields seem to have better performances.This paper only presents results for precipitation but temperature was also analysed. 相似文献
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Matthias Demuzere P. Kassomenos A. Philipp 《Theoretical and Applied Climatology》2011,105(1-2):143-166
In the framework of the COST733 Action ??Harmonisation and Applications of Weather Types Classifications for European Regions?? a new circulation type classification software (hereafter, referred to as cost733class software) is developed. The cost733class software contains a variety of (European) classification methods and is flexible towards choice of domain of interest, input variables, time step, number of circulation types, sequencing and (weighted) target variables. This work introduces the capabilities of the cost733class software in which the resulting circulation types (CTs) from various circulation type classifications (CTCs) are applied on observed summer surface ozone concentrations in Central Europe. Firstly, the main characteristics of the CTCs in terms of circulation pattern frequencies are addressed using the baseline COST733 catalogue (cat 2.0), at present the latest product of the new cost733class software. In a second step, the probabilistic Brier skill score is used to quantify the explanatory power of all classifications in terms of the maximum 8 hourly mean ozone concentrations exceeding the 120-??g/m3 threshold; this was based on ozone concentrations from 130 Central European measurement stations. Averaged evaluation results over all stations indicate generally higher performance of CTCs with a higher number of types. Within the subset of methodologies with a similar number of types, the results suggest that the use of CTCs based on optimisation algorithms are performing slightly better than those which are based on other algorithms (predefined thresholds, principal component analysis and leader algorithms). The results are further elaborated by exploring additional capabilities of the cost733class software. Sensitivity experiments are performed using different domain sizes, input variables, seasonally based classifications and multiple-day sequencing. As an illustration, CTCs which are also conditioned towards temperature with various weights are derived and tested similarly. All results exploit a physical interpretation by adapting the environment-to-circulation approach, providing more detailed information on specific synoptic conditions prevailing on days with high surface ozone concentrations. This research does not intend to bring forward a favourite classification methodology or construct a statistical ozone forecasting tool but should be seen as an introduction to the possibilities of the cost733class software. It this respect, the results presented here can provide a basic user support for the cost733class software and the development of a more user- or application-specific CTC approach. 相似文献
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E. Brisson M. Demuzere B. Kwakernaak N. P. M. Van Lipzig 《Meteorology and Atmospheric Physics》2011,111(1-2):27-39
The objective Lamb circulation type (CT) classification method, based on the strength, direction and vorticity of the geostrophic flow, is applied to Belgium. Eleven different large-scale synoptic circulation patterns are derived on a daily scale for the period 1962 and 1999. The circulation patterns are subsequently related to precipitation amount and occurrence for six stations characterising different regions in Belgium, namely coastal, flat and hilly areas. Based on precipitation occurrence and intensity, five wet classes are defined, which are responsible for 83% of the total precipitation amount. It is shown that a regression model based on CT as predictors represents precipitation variability better in winter and autumn than in spring and summer. On the monthly scale and in winter, CTs explain 60.3% of the precipitation variability. 相似文献
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Erwan Brisson Matthias Demuzere Patrick Willems Nicole P. M. van Lipzig 《Climate Dynamics》2015,44(1-2):495-508
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Helsen Samuel van Lipzig Nicole P. M. Demuzere Matthias Vanden Broucke Sam Caluwaerts Steven De Cruz Lesley De Troch Rozemien Hamdi Rafiq Termonia Piet Van Schaeybroeck Bert Wouters Hendrik 《Climate Dynamics》2020,54(3):1267-1280
Climate Dynamics - Convection-permitting models (CPMs) have been proven successful in simulating extreme precipitation statistics. However, when such models are used to study climate change,... 相似文献
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Tom Akkermans Tim B?hme Matthias Demuzere Susanne Crewell Christoph Selbach Thorsten Reinhardt Axel Seifert Felix Ament Nicole P. M. van Lipzig 《Theoretical and Applied Climatology》2012,108(1-2):39-52
Regime-dependent evaluation is a relatively new approach to assess model performance. It consists of classifying the model biases according to a discrete number of regimes and evaluating model output within each regime. In this paper, the regimes are firstly defined by the large-scale atmospheric circulation, based on the objective Jenkinson-Collison classification technique which distinguishes synoptic patterns by strength, direction and vorticity of the geostrophic flow. Eight directional and two vorticity circulation regimes (circulation types) are specified. In this way, it is possible to quantify the model performance for cases with for example westerly winds only, or with cyclonic circulation only. A second regime classification is based on temperature, which allows for detection of temperature-dependent model performance. Modelled accumulated precipitation (mm/6?h) is evaluated with rain gauges for the years 2007 and 2008. Two variants of the COSMO model are evaluated: a fine-resolution version (2.8?km, COSMO-DE) and a coarse-resolution version (7?km, COSMO-EU). In COSMO-EU, a windward/leeward effect becomes visible since circulation is related to dominant wind direction, hence to windward and lee side of orography. In COSMO-DE, no circulation dependent but a height-related bias is identified and further explored, making use of temperature-dependent evaluation which unveils a positive model bias related to solid precipitation. 相似文献
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Suraj?HarshanEmail author Matthias?Roth Erik?Velasco Matthias?Demuzere 《Theoretical and Applied Climatology》2018,132(3-4):867-883
A two-step statistical downscaling method has been reviewed and adapted to simulate twenty-first-century climate projections for the Gulf of Fonseca (Central America, Pacific Coast) using Coupled Model Intercomparison Project (CMIP5) climate models. The downscaling methodology is adjusted after looking for good predictor fields for this area (where the geostrophic approximation fails and the real wind fields are the most applicable). The method’s performance for daily precipitation and maximum and minimum temperature is analysed and revealed suitable results for all variables. For instance, the method is able to simulate the characteristic cycle of the wet season for this area, which includes a mid-summer drought between two peaks. Future projections show a gradual temperature increase throughout the twenty-first century and a change in the features of the wet season (the first peak and mid-summer rainfall being reduced relative to the second peak, earlier onset of the wet season and a broader second peak). 相似文献
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