Central European high-resolution gridded daily data sets (HYRAS): Mean temperature and relative humidity

Frick, Claudia; Steiner, Heiko; Mazurkiewicz, Alex; Riediger, Ulf; Rauthe, M.; Reich, Thomas; Gratzki, A.

doi:10.1127/0941-2948/2014/0560

Cited by 49 publications

(60 citation statements)

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“…However, the standard reference gridded data set of air temperature and precipitation at daily resolution covering all of Europe was E-OBS (Haylock et al 2008), which is resolved at 25 km. Therefore, the daily gridded data set HYRAS (Frick et al 2014), provided by the German Weather Service, was used for evaluation. HYRAS consists of data from about 2000 weather stations.…”

Section: Observational Data Setsmentioning

confidence: 99%

Scale dependency of regional climate modeling of current and future climate extremes in Germany

Tölle

Schefczyk

Gutjahr

2017

Theor Appl Climatol

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A warmer climate is projected for mid-Europe, with less precipitation in summer, but with intensified extremes of precipitation and near-surface temperature. However, the extent and magnitude of such changes are associated with creditable uncertainty because of the limitations of model resolution and parameterizations. Here, we present the results of convection-permitting regional climate model simulations for Germany integrated with the COSMO-CLM using a horizontal grid spacing of 1.3 km, and additional 4.5-and 7-km simulations with convection parameterized. Of particular interest is how the temperature and precipitation fields and their extremes depend on the horizontal resolution for current and future climate conditions. The spatial variability of precipitation increases with resolution because of more realistic orography and physical parameterizations, but values are overestimated in summer and over mountain ridges in all simulations compared to observations. The spatial variability of temperature is improved at a resolution of 1.3 km, but the results are cold-biased, especially in summer. The increase in resolution from 7/4.5 km to 1.3 km is accompanied by less future warming in summer by 1 Max Planck Institute for Meteorology, Hamburg, Germany precipitation extremes will be more severe, and temperature extremes will not exclusively increase with higher resolution. Although the differences between the resolutions considered (7/4.5 km and 1.3 km) are small, we find that the differences in the changes in extremes are large. High-resolution simulations require further studies, with effective parameterizations and tunings for different topographic regions. Impact models and assessment studies may benefit from such high-resolution model results, but should account for the impact of model resolution on model processes and climate change.

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Section: Observational Data Setsmentioning

confidence: 99%

Scale dependency of regional climate modeling of current and future climate extremes in Germany

Tölle

Schefczyk

Gutjahr

2017

Theor Appl Climatol

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“…4 are compared to these obtained from the HYRAS data set which cover Germany (Frick et al, 2014). This data set has a similar resolution (5 km) and use the Optimal Interpolation method.…”

Section: Discussionmentioning

confidence: 99%

The FORBIO Climate data set for climate analyses

2015

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Abstract. In the framework of the interdisciplinary FORBIO Climate research project, the Royal Meteorological Institute of Belgium is in charge of providing high resolution gridded past climate data (i.e. temperature and precipitation). This climate data set will be linked to the measurements on seedlings, saplings and mature trees to assess the effects of climate variation on tree performance. This paper explains how the gridded daily temperature (minimum and maximum) data set was generated from a consistent station network between 1980 and 2013. After station selection, data quality control procedures were developed and applied to the station records to ensure that only valid measurements will be involved in the gridding process. Thereafter, the set of unevenly distributed validated temperature data was interpolated on a 4 km × 4 km regular grid over Belgium. The performance of different interpolation methods has been assessed. The method of kriging with external drift using correlation between temperature and altitude gave the most relevant results.

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“…Data for precipitation (HYRAS; Rauthe et al, 2013) and temperature (HYRAS; Frick et al, 2014) can be obtained via https://www.dwd.de/DE/leistungen/hyras/hyras.html. The database for potential evapotranspiration (AMBAV; Löpmeier, 1994) can be accessed via ftp://ftp-cdc.dwd.de/pub/CDC/grids_germany/daily/ evapo_p.…”

Section: Discussionmentioning

confidence: 99%

“…Meteorological input data were daily values for precipitation (HYRAS; Rauthe et al, 2013), temperature (HYRAS; Frick et al, 2014), and potential evapotranspiration (AM-BAV; Löpmeier, 1994) A set of 14 descriptors to characterise the hydroclimatic and physiographic setting of the headwaters and to capture characteristics that might jointly control relevant hydrological functions as defined by Black (1997) has been compiled in Table 3. Each descriptor in Table 3 was assigned to one of five main classes of catchment characteristics, i.e.…”

Section: Datamentioning

confidence: 99%

Regional analysis of parameter sensitivity for simulation of streamflow and hydrological fingerprints

Höllering¹,

Wienhöfer²,

Ihringer³

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Diagnostics of hydrological models are pivotal for a better understanding of catchment functioning, and the analysis of dominating model parameters plays a key role for region-specific calibration or parameter transfer. A major challenge in the analysis of parameter sensitivity is the assessment of both temporal and spatial differences of parameter influences on simulated streamflow response. We present a methodological approach for global sensitivity analysis of hydrological models. The multilevel approach is geared towards complementary forms of streamflow response targets, and combines sensitivity analysis directed to hydrological fingerprints, i.e. temporally independent and temporally aggregated characteristics of streamflow (INDPAS), with the conventional analysis of the temporal dynamics of parameter sensitivity (TEDPAS).The approach was tested in 14 mesoscale headwater catchments of the Ruhr River in western Germany using simulations with the spatially distributed hydrological model mHM. The multilevel analysis with diverse response characteristics allowed us to pinpoint parameter sensitivity patterns much more clearly as compared to using TEDPAS alone. It was not only possible to identify two dominating parameters, for soil moisture dynamics and evapotranspiration, but we could also disentangle the role of these and other parameters with reference to different streamflow characteristics. The combination of TEDPAS and INDPAS further allowed us to detect regional differences in parameter sensitivity and in simulated hydrological functioning, despite the rather small differences in the hydroclimatic and topographic setting of the Ruhr headwaters.

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Central European high-resolution gridded daily data sets (HYRAS): Mean temperature and relative humidity

Cited by 49 publications

References 0 publications

Scale dependency of regional climate modeling of current and future climate extremes in Germany

Scale dependency of regional climate modeling of current and future climate extremes in Germany

The FORBIO Climate data set for climate analyses

Regional analysis of parameter sensitivity for simulation of streamflow and hydrological fingerprints

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