A5006537377- Climate variability and models
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Tree-ring climate responses
- Climate change and permafrost
- Hydrology and Drought Analysis
- Precipitation Measurement and Analysis
- demographic modeling and climate adaptation
- Winter Sports Injuries and Performance
- Landslides and related hazards
- Species Distribution and Climate Change
- Time Series Analysis and Forecasting
- Hydrology and Watershed Management Studies
- Wind and Air Flow Studies
- Horticultural and Viticultural Research
- Remote Sensing in Agriculture
- Geophysics and Gravity Measurements
- Atmospheric Ozone and Climate
- Arctic and Antarctic ice dynamics
- Forest ecology and management
- Corporate Law and Human Rights
- Computational Physics and Python Applications
- Environmental Monitoring and Data Management
- Advanced Computational Techniques and Applications
Federal Office of Meteorology and Climatology MeteoSwiss
2015-2024
Zürich Airport (Switzerland)
2015-2024
Oeschger Centre for Climate Change Research
2021
University of Bern
2021
Federal Department of Home Affairs
2006
University of Chicago
1989
Abstract This paper describes the HISTALP database, consisting of monthly homogenised records temperature, pressure, precipitation, sunshine and cloudiness for ‘Greater Alpine Region’ (GAR, 4–19°E, 43–49°N, 0–3500m asl). The longest temperature air pressure series extend back to 1760, precipitation 1800, 1840s 1880s. A systematic QC procedure has been applied a high number inhomogeneities (more than 2500) outliers 5000) have detected removed. 557 are kept in different data modes: original...
Abstract A set of 12 homogenized monthly mean temperature and precipitation series Switzerland for the period 1864–2000 are introduced. The standardized homogenization procedure, which has been developed implemented at MeteoSwiss during recent years, is briefly reviewed inhomogeneity types, causes, magnitudes, timings discussed. Finally, a trend analysis performed on each Switzerland. results compared with findings other studies that have examined long‐term trends in neighbouring countries....
We analyze century‐long daily temperature and precipitation records for stations in Europe west of 60°E. A set climatic indices derived from the series, mainly focusing on extremes, is defined. Linear trends these are assessed over period 1901–2000. Average trends, 75 mostly representing 20°E, show a warming all indices. Winter has, average, warmed more (∼1.0°C/100 yr) than summer (∼0.8°C), both maximum (TX) minimum (TN) temperatures. Overall, TX winter was stronger warm tail cold (1.6 1.5°C...
The paper describes the development of a dataset 192 monthly precipitation series covering greater alpine region (GAR, 4–18°E by 43–49°N). A few time extend back to 1800. description is provided sometimes laborious processes that were involved in this work: from locating original sources data homogenizing records and eliminating as many outliers possible. Locating required exhaustive searches archives currently held yearbooks other states, countries smaller regional authorities existed at...
ABSTRACT Relative homogenization methods assume that measurements of nearby stations experience similar climate signals and rely therefore on dense station networks with high‐temporal correlations. In developing countries such as Peru, however, often suffer from low‐station density. The aim this study is to quantify the influence network density homogenization. To end, method HOMER was applied an artificially thinned Swiss network. Four experiments, reflecting different approaches, were...
Abstract For some applications, long‐term coverage and climate consistency are important requirements in gridded data sets. This is often challenged by the inhomogeneity of measurements variation station networks over time. We describe development new monthly grid sets temperature precipitation for Switzerland that range back as far 1864 satisfy high standards consistency. To this end, incorporated from stations only with complete homogenized series available. compensate limited spatial...
In this study, we derive new time‐series of monthly‐mean surface air temperature for Switzerland that range back to 1864 and represent area‐mean conditions over the country three major sub‐regions. The methodology integrates data from a small sample (19 stations) homogenized long‐term series high‐resolution (2 km) grid dataset short (20 years) period. statistical combination defines an objective weighting station delivers reliable time‐consistent estimates, despite coarse biased coverage...
Abstract Austrian observations of snow depth date back to 1895 and are thus among the longest available quantitative information from hydrometeorological networks worldwide. It is well known that such long‐term prone inhomogeneities, which may not only affect climatologies trends, but derived products used in research or practice. While reliability methods for detecting breaks time series has been shown before could also be confirmed by our work, we focused on improving adjustment method....
Quantifying precipitation variability and trends is difficult merits regular reassessment. In the present study, seasonal homogenized series in Switzerland investigated for period 1901–2013 terms of trends, inter-annual influence large-scale flow. An objective clustering applied, resulting 32 distinct regions. Trends are analysed all regions with moving trend windows, statistical significance (p < 0.05) assessed Theil–Sen estimates nonparametric Mann–Kendall tests. Inter-annual varies...
Abstract Snow on the ground is an important climate variable which normally measured either as snow depth or height of new snow. Like any other meteorological variable, manually prone to local influences, changes in environment procedure measurements. In order investigate robustness measurement series towards such non‐climatic changes, a unique set parallel manual measurements over 25 years from 23 station pairs between 490 and 1800 m a.s.l. was compiled. A sensitivity analysis based typical...
The vitality of Scots pine ( Pinus sylvestris L.) is declining since the 1990s in many European regions. This was mostly attributed to occurrence hotter droughts, other climatic changes and secondary biotic stressors. However, it still not well understood which specific atmospheric trends extremes caused observed spatio-temporal dieback patterns. In Swiss Rhône valley, we identified negative precipitation anomalies between midsummer early autumn as main driver sudden decline events. Whereas...
CLIMANDES is a pilot twinning project between the National Weather Services of Peru and Switzerland (SENAMHI MeteoSwiss), developed within Global Framework for Climate World Meteorological Organization (WMO). Split in two modules, aims at improving education meteorology climatology support WMO Regional Training Center Peru, introducing user-tailored climate services regions Peruvian Andes. Four areas were prioritized first phase lasting from 2012 to 2015 introduce Peru. A demand study...
Describing the climate evolution using trend lines and estimating current mean (CCM) on local scale is an important service. For increasing number of variables, accelerating change disqualifies use traditional climatological normals long-term linear trends as CCM estimators. Although several alternatives are available already in use, there few comprehensive assessments different approaches let alone a consensus for recommending particular method. Here we evaluate frequently used that past...
This study summarizes 53 years of radiosonde measurements at the MeteoSwiss Aerological Station Payerne, Switzerland. The temperature time series is result a careful reassessment original data, mainly based on internal station documentation. Comparisons with HadAT2 and RAOBCORE/RICH adjusted data sets document high quality our technical reevaluation. In lower troposphere, we compare measurement trends to independently homogenized surface measured lowland Alpine stations up 3580 m. We find an...
Abstract. Daily measurements of snow depth and snowfall can vary strongly over short distances. However, it is not clear if there a seasonal dependence in these variations how they impact common climate indicators based on mean values, as well estimated return levels extreme events maximum values. To analyse the impacts local-scale we compiled unique set parallel from Swiss Alps consisting 30 station pairs with up to 77 years data. Station are usually located same villages (or within 3 km...
Within the framework of EU-project ENSEMBLES, an automated procedure to detect shift inhomogeneities in climatological time series was developed and used for homogeneity assessment a European data set including values temperature (min, mean, max), precipitation air pressure covering at least 45 years. The process combines VERAQC (Vienna Enhanced Resolution Analysis Quality Control) output with Alexandersson's Standard Normal Homogeneity Test. is designed find outliers, systematic errors...
Abstract Near‐surface seasonal and annual mean wind speed in Switzerland is investigated using homogenized observations, Twentieth Century Reanalysis (20CRv2c) data raw model output of a 75 member EURO‐ CO o R dinated D ownscaling EX periment regional climate (RCM) ensemble for present day future scenarios. The observations show significant decrease the Alps on southern Alpine slopes period 1981–2010. However, 20CRv2c reveal that recent trends lie well within decadal variability over longer...
Abstract. Knowledge concerning possible inhomogeneities in a data set is of key importance for any subsequent climatological analyses. Well-established relative homogenization methods developed temperature and precipitation exist but have rarely been applied to snow-cover-related time series. We undertook homogeneity assessment Swiss monthly snow depth series by running comparing the results from three well-established semi-automatic break point detection (ACMANT – Adapted Caussinus-Mestre...
Abstract. Our current knowledge of spatial and temporal snow depth trends is based almost exclusively on time series non-homogenised observational data. However, like other long-term from observations, they are prone to inhomogeneities that can influence even change if not taken into account. In order assess the relevance homogenisation for time-series analysis daily depths, we investigated effects adjusting in extensive network Swiss observations changes extreme values commonly used...