A5074578481- Cryospheric studies and observations
- Climate change and permafrost
- Climate variability and models
- Meteorological Phenomena and Simulations
- Landslides and related hazards
- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Climate change impacts on agriculture
- Precipitation Measurement and Analysis
- Winter Sports Injuries and Performance
- Building Energy and Comfort Optimization
- Solar Radiation and Photovoltaics
- Atmospheric aerosols and clouds
- Energy Load and Power Forecasting
- Tree-ring climate responses
- Remote Sensing in Agriculture
- Ecology, Conservation, and Geographical Studies
- Fire effects on ecosystems
- demographic modeling and climate adaptation
- Avian ecology and behavior
- Geophysics and Gravity Measurements
- Greenhouse Technology and Climate Control
- Atmospheric and Environmental Gas Dynamics
- Data Analysis with R
- Smart Materials for Construction
Swiss Academy of Sciences
2023-2025
Federal Office of Meteorology and Climatology MeteoSwiss
2014-2024
Zürich Airport (Switzerland)
2021-2024
Swiss National Park
2024
University of Zurich
2009-2013
Abstract. Measurements of environmental variables are often used to validate and calibrate physically-based models. Depending on their application, the models at different scales, ranging from few meters tens kilometers. Environmental can vary strongly within grid cells these Validating a model with single measurement is therefore delicate susceptible induce bias in further applications. To address question uncertainty associated scale permafrost models, we present data 390...
Abstract. In recent years, strong variations in the speed of rock glaciers have been detected, raising questions about their stability under changing climatic conditions. this study, we present continuous time series surface velocities over 3 years six GPS stations located on three Switzerland. Intra-annual velocity are analysed relation to local meteorological factors, such as precipitation, snow(melt), and air ground temperatures. The main focus study lies abrupt peaks, which detected 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 Glacier surface mass-balance measurements on Greenland started more than a century ago, but no compilation exists of the observations from ablation area ice sheet and local glaciers. Such data could be used in evaluation modelled mass balance, or to document changes glacier melt independently model output. Here, we present comprehensive database The spans 123 1892 2015, contains total ~3000 46 sites, is openly accessible through PROMICE web portal ( http://www.promice.dk ). For each...
ABSTRACT In situ climatological observations are essential for studies related to climate trends and extreme events. However, in many regions of the globe, observational records affected by a large number data quality issues. Assessing controlling such datasets is an important, often overlooked aspect research. Besides analysing measurement data, metadata important comprehensive assessment. missing, but may partly be reconstructed suitable actions as station inspections. This study...
Abstract Seasonal predictions have a great socioeconomic potential if they are reliable and skillful. In this study, we assess the prediction performance of SEAS5, version 5 seasonal system European Centre for Medium-Range Weather Forecasts (ECMWF), over South America against homogenized station data. For temperature, find highest performances in tropics during austral summer, where probability that correctly discriminate different observed outcomes is 70%. regions lying to east Andes,...
Abstract. Seasonal snow cover and its melt regime are heterogeneous both in time space. Describing modelling this variability is important because it affects diverse phenomena such as runoff, ground temperatures or slope movements. This study presents the derivation of melting characteristics based on spatial clusters surface temperature (GST) measurements. Results data from Switzerland where were measured with miniature loggers (iButtons) at 40 locations referred to footprints. At each...
Abstract. Model evaluation is often performed at few locations due to the lack of spatially distributed data. Since quantification model sensitivities and uncertainties can be independently from ground truth measurements, these analyses are suitable test influence environmental variability on evaluation. In this study, a physically based mountain permafrost quantified within an artificial topography. The setting consists different elevations exposures combined with six types characterized by...
Abstract. As many environmental models rely on simulating the energy balance at Earth's surface based parameterized radiative fluxes, knowledge of inherent model uncertainties is important. In this study we evaluate one parameterization clear-sky direct, diffuse and global shortwave downward radiation (SDR) diverse parameterizations all-sky longwave (LDR). a first step, SDR estimated measured input variables atmospheric parameters for hourly time steps during years 1996 to 2008. Model...
Abstract In the southern Peruvian Andes, communities are highly dependent on climatic conditions due to mainly rain‐fed agriculture and importance of glaciers snow melt as a freshwater resource. Longer‐term trends year‐to‐year variability precipitation or temperature severely affect living conditions. This study evaluates seasonal climatologies in period 1965/66–2017/18 for Andes using quality‐controlled homogenized station data new observational gridded data. this region, exhibits strong...
With global climate change, temperatures in Switzerland are projected to rise the coming decades, according national scenarios CH2018. Associated with mean temperature increase, heatwaves expected become longer, more frequent, and intense. The changing will affect indoor as well heating cooling needs. In building design, these climatic changes have be planned for today order ensure a comfortable future. collaboration practitioners, reference data set future is created that specifically...
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...
Abstract Precipitation deficits remain a concern to the rural population in southern Peruvian highlands and knowledge about their occurrence is lacking because of scarce data availability. For mountainous regions with sparse station networks, reanalyses can provide valuable information; however, known limitations reproducing precipitation are aggravated due unresolved topographical effects. In this study, we assess first step representation during rainy season (January–February–March) seven...
Abstract With the increased occurrence of hot spells in recent years, there is growing interest quantifying recurrence extreme temperature events. However, pronounced anomalies occur all year round, and a reliable classification terms time needed. In this study, we present novel approach to classifying daily air temperatures that take into account seasonal cycle climate change. We model distribution Swiss using skewed generalized error with four time-varying parameters, thereby accounting...
Abstract. Detecting and monitoring of moving potentially hazardous slopes requires reliable estimations velocities. Separating any movement signal from measurement noise is crucial for understanding the temporal variability slope movements detecting changes in regime, which may be important indicators process. Thus, methods capable estimating velocity its reliably are required. In this paper we develop test a method deriving velocities based on noisy GPS (Global Positioning System) data,...
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...
Abstract. Snow cover plays a crucial role in regional climate systems worldwide. It is key variable the context of change because its direct feedback to system, while at same time being very sensitive change. Accurate long-term spatial data on snow are scarce, due lack satellite or forcing run land surface models back time. This study presents an R package, SnowQM, designed correct for bias water equivalent data, using more accurate calibrating correction. The correction based widely applied...
Commercial, coin-sized iButton temperature logger devices are well-suited for densely instrumenting large outdoor areas. An efficient workflow deploying and maintaining those is necessary when striving to deploy operate several hundreds of data devices. Additionally, a sophisticated management required handling the emerging, amounts meta measurement data. Therefore, we developed iAssist, solution that integrates together with GPS receiver digital camera gathering accurate location...
Abstract. Measurements of environmental variables are often used to validate and calibrate physically-based models. Depending on their application, models at different scales, ranging from few meters tens kilometers. Environmental can vary strongly within the grid cells these Validating a model with single measurement is therefore delicate susceptible induce bias in further applications. To address question uncertainty associated scale permafrost models, we present data 390...
Abstract The rainy season is of high importance for livelihoods in the Southern Peruvian Andes (SPA), especially agriculture, which mainly rain fed and one main income sources region. Therefore, knowledge predictions such as its onset ending are crucial planning purposes. However, information currently not readily available local population. Moreover, an evaluation existing indices shows that they optimally suited SPA may be directly applicable a forecasting context. we develop new index,...
Abstract The near‐surface zero degree line (ZDL) is a key isotherm in mountain regions worldwide, but detailed analysis of methods for the ZDL determination, their properties and applicability changing climate missing. We here test different approaches to determine on monthly scale Swiss Alps. A non‐linear profile yields more robust realistic ZDLs than linear throughout year especially winter‐half when frequent inversions disqualify assumption. In period 1871–2019, has risen significantly...
The development and dissemination of weather climate information is crucial to improve people's resilience adaptability variability change. impacts change are generally stronger for disadvantaged population groups due their limited adaptive coping capacities. For instance, smallholder farmers living in remote areas such as the southern Peruvian Andes suffer strongly from adverse climatic events droughts or frost. project Climandes aimed at providing high-quality services support agricultural...