ABSTRACT Quantile mapping (QM) is routinely applied in many climate change impact studies for the bias correction (BC) of daily precipitation data. It corrects complete distribution, but does not correct errors annual cycle. Therefore, QM often separately to temporal subsamples data (e.g. each calendar month), which reduces calibration sample size. The question arises whether this size reduction negates benefit from applying subsamples. We four methods a cross‐validation approach 40 years 10...

The chytrid fungus Batrachochytrium salamandrivorans (Bsal) is a dangerous pathogen to salamanders and newts. Apparently native Asia, it has recently been detected in Western Europe where expected spread have dramatic effects on naïve hosts. Since 2010, Bsal led some catastrophic population declines of urodeles the Netherlands Belgium. More recently, discovered additional, more distant sites including Germany. With purpose contribute better understanding Bsal, we modelled its potential...

The parameterization of ocean/sea-ice/atmosphere interaction processes is a challenge for regional climate models (RCMs) the Arctic, particularly wintertime conditions, when small fractions thin ice or open water cause strong modifications boundary layer. Thus, treatment sea and sub-grid flux parameterizations in RCMs crucial importance. However, verification data sets over conditions are rare. In present paper, ship-based experiment Transarktika 2019 during end Arctic winter thick one-year...

The ship-based experiment MOSAiC 2019/2020 was carried out during a full year in the Arctic and yielded an excellent data set to test parameterizations of ocean/sea-ice/atmosphere interaction processes regional climate models (RCMs). In present paper, near-surface are used for verification RCM COnsortium Small-scale MOdel–Climate Limited area Mode (COSMO-CLM or CCLM). CCLM is forecast mode (nested ERA5) whole with 15 km resolution run different configurations sea ice data. These include...

Regional climate models are a valuable tool for the study of processes and change in polar regions, but performance has to be evaluated using experimental data. The regional model CCLM was used simulations MOSAiC period with horizontal resolution 14 km (whole Arctic). forecast mode (nested ERA5) thermodynamic sea ice model. Sea concentration taken from AMSR2 data (C15 run) high-resolution set (1 km) derived MODIS (C15MOD0 run). radiosonde different profiling systems focus on winter...

A warmer climate is projected for mid-Europe, with less precipitation in summer, but intensified extremes of and near-surface temperature. However, the extent magnitude such changes are associated creditable uncertainty because limitations model resolution parameterizations. Here, we present results convection-permitting regional simulations Germany integrated COSMO-CLM using a horizontal grid spacing 1.3 km, additional 4.5- 7-km convection parameterized. Of particular interest how...

Abstract Aim Climate is considered a major driver of species distributions. Long‐term climatic means are commonly used as predictors in correlative distribution models ( SDM s). However, this coarse temporal resolution does not reflect local conditions that populations experience, such short‐term weather extremes, which may have strong impact on population dynamics and We here compare the performance climate‐ weather‐based regional s their influence future predictions, increasingly...

Low-level jets (LLJs) are studied for the period of ship-based experiment MOSAiC 2019/2020 using regional climate model Consortium Small-scale Model—Climate Limited area Mode (CCLM). The domain covers whole Arctic with 14 km resolution. CCLM is run in a forecast mode (nested ERA5) and different configurations sea ice data winter. focus on study LLJs site. detected output every 1 h. We define LLJ events as that last at least 6 Case studies shown wind lidar radiosonde well simulations. not...

The simulation of extremes using climate models is still a challenging task.Currently, the model grid horizontal resolution state-of-the art regional (RCMs) about 11-25 km, which may be too coarse to represent local realistically.In this study we use dynamically downscaled ERA-40 reanalysis data RCM COSMO-CLM at 18 km resolution, downscale it further 4.5 and finally 1.3 investigate impact on extremes.Extremes are estimated as return levels for 2, 5 10-year periods 'peaks-over-threshold'...

<p>The parameterization of ocean/sea-ice/atmosphere interaction processes is a challenge for regional climate models (RCMs) the Arctic, particularly wintertime conditions, when small fractions thin ice or open water cause strong modifications boundary layer. Thus, treatment sea and sub-grid flux parameterizations in RCMs crucial importance. However, verification data sets over conditions are rare. In present paper, ship-based experiment Transarktika 2019 during end Arctic...

Knowledge of the wintertime sea-ice production in Arctic polynyas is an important requirement for estimations dense water formation, which drives vertical mixing upper ocean. Satellite-based techniques incorporating relatively high resolution thermal-infrared data from MODIS combination with atmospheric reanalysis have proven to be a strong tool monitor large and regularly forming resolve narrow thin-ice areas (i.e., leads) along shelf-breaks across entire Ocean. However, selection sets has...