The objective weather type classification of the German Weather Service and its possibilities of application to environmental and meteorological investigations

Bissolli, Peter; Dittmann, E.

doi:10.1127/0941-2948/2001/0010-0253

Cited by 77 publications

(71 citation statements)

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“…This is an automated thresholdbased catalog derived from the "Objektive Wetterlagenklassifikation-OWLK" classification developed at German Weather Service [9]. It uses information from three tropospheric levels: 925, 700 and 500 hPa, and information regarding water content over the entire tropospheric column.…”

Section: Methodsmentioning

confidence: 99%

Multiyear Aerosol Study Based on Lidar&Sunphotometer Measurements in Romania

Nemuc

Binietoglou

Andrei

et al. 2016

EPJ Web of Conferences

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This observational study focused on three-years time-averaged data set (January 2012(January -2015. An investigation of long-term trends was performed on two different data sets derived from active and passive remote sensing measurements in Magurele, Romania. The origin of atmospheric aerosols has been analyzed using both backtajectories of Hysplit and Circulation Type Classification (CTCs) methods.

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Section: Methodsmentioning

confidence: 99%

Multiyear Aerosol Study Based on Lidar&Sunphotometer Measurements in Romania

Nemuc

Binietoglou

Andrei

et al. 2016

EPJ Web of Conferences

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“…The Objective Weather Type Classification (OWTC) methodology of the National German Weather Service (DWD) (Bissolli and Dittmann, 2001) uses meteorological criteria such as:…”

Section: Use Of the Dwd Objective Weather Type Classificationmentioning

confidence: 99%

Early warnings of extreme winds using the ECMWF Extreme Forecast Index

Petroliagis

2012

Met. Apps

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ABSTRACT:The European FP7 SafeWind Project aims at developing research towards a European vision of wind power forecasting, which requires advanced meteorological support concerning extreme wind events. This study is focused mainly on early warnings of extreme winds in the early medium-range. Three synoptic stations (airports) of North Germany (Bremen, Hamburg and Hannover) were considered for the construction of time series of daily maximum wind speeds. All daily wind extremes were found to be linked to very intense surface cyclonic circulation systems being advected mainly by southwest and northwest flow regimes. Overall, it becomes clear that the first indications of an extreme wind event might come from the ECMWF deterministic and/or probabilistic components capturing very intense weather systems (possible windstorms) in the medium term. For early warnings, all available EPS Extreme Forecast Index (EFI) formulations were used, by linking daily maximum wind speeds to EFI values for different forecast horizons. From all possible EFI schemes deployed for issuing early warnings, the highest skill was found for the Gust Factor formulation (EFI-10FGI). Using EFI-10FGI, the corresponding 99% threshold could provide an early warning for a considerable portion of the >99% wind extremes, but not for all. By lowering this threshold the number of hits is increased until all extremes are captured (zero misses), although by doing so the number of false alarms increased significantly. Consequently, an optimal trade-off between hits and false alarms has to be made when setting different (critical) EFI thresholds.

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“…These criteria exclude some apparently good predictors. For example, objective weather classifications (e.g., Bissolli and Dittmann 2001) are only regionally defined, so are not applicable to the entire domain and are therefore not appropriate predictors. Satellite data are potentially useful for detection of such things as cloud and fog, but are potentially subject to the screening of low fog layers (with potential temperature inversion) by thin high clouds.…”

Section: Predictors and Predictor Data Setsmentioning

confidence: 99%

Spatial gridding of daily maximum and minimum temperatures in Europe

Krähenmann

Bissolli

Rapp

et al. 2011

Meteorol Atmos Phys

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We developed an operationally applicable landonly daily high-resolution (5 km 9 5 km) gridding method for station observations of minimum and maximum 2 m temperature (T min /T max ) for Europe (WMO region VI). The method involves two major steps: (1) the generation of climatological T min /T max maps for each month of the year using block regression kriging, which considers the spatial variation explained by applied predictors; and (2) interpolation of transformed daily anomalies using block kriging, and combination of the resulting anomaly maps with climatological maps. To account for heterogeneous climatic conditions in the estimation of the statistical parameters, these steps were applied independently in overlapping climatic subregions, followed by an additional spatial merging step. Uncertainties in the gridded maps and the derived error maps were quantified: (a) by cross-validation; and (b) comparison with the T min /T max maps estimated in two regions having very dense temperature observation networks. The main advantages of the method are the high quality of the daily maps of T min /T max , the calculation of daily error maps and computational efficiency.

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The objective weather type classification of the German Weather Service and its possibilities of application to environmental and meteorological investigations

Cited by 77 publications

References 0 publications

Multiyear Aerosol Study Based on Lidar&Sunphotometer Measurements in Romania

Multiyear Aerosol Study Based on Lidar&Sunphotometer Measurements in Romania

Early warnings of extreme winds using the ECMWF Extreme Forecast Index

Spatial gridding of daily maximum and minimum temperatures in Europe

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