A5058446482- Climate variability and models
- Tree-ring climate responses
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Cryospheric studies and observations
- Hydrology and Drought Analysis
- Atmospheric and Environmental Gas Dynamics
- Hydrology and Watershed Management Studies
- Geology and Paleoclimatology Research
- Precipitation Measurement and Analysis
- Climate change impacts on agriculture
- Energy Load and Power Forecasting
- Data Analysis with R
- Environmental and biological studies
- Environmental and Cultural Studies in Latin America and Beyond
- Remote Sensing in Agriculture
- Advanced Image Processing Techniques
- Pacific and Southeast Asian Studies
- Geophysics and Gravity Measurements
- Risk Perception and Management
- Sustainable Agricultural Systems Analysis
- Ionosphere and magnetosphere dynamics
University of Bern
2019-2025
Oeschger Centre for Climate Change Research
2019-2025
Federal Office of Meteorology and Climatology MeteoSwiss
2019-2023
Abstract The jet stream over the Atlantic–European sector is relevant for weather and climate in Europe. It generates temperature extremes steers moisture flood-propelling systems to Europe or facilitates development of atmospheric blocks, which can lead drought. Ongoing change may alter characteristics, affecting extremes. However, little known about past interannual-to-decadal variability stream. Here we analyse strength, tilt latitude from 1421 2023 an ensemble monthly daily...
Abstract. Weather types are used to characterise large–scale synoptic weather patterns over a region. Long–standing records of hold important information about day–to–day variability and changes atmospheric circulation the associated effects on surface. However, most type reconstructions restricted in their temporal extent as well accuracy methods. In our study, we assess various machine learning approaches for station–based reconstruction Europe based CAP9 classification. With common...
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...
Abstract. The winter 1788/89 was one of the coldest winters Europe had witnessed in past 300 years. Fortunately, for historical climatologists, this extreme event occurred at a time when many stations across Europe, both private and as part coordinated networks, were making quantitative observations weather. This means that several dozen early instrumental series are available to carry out an in-depth study severe cold spell. While there have been attempts present daily spatial information...
Abstract. Climate reconstructions give insights in monthly and seasonal climate variability the past few hundred years. However, for understanding extreme weather events relating them to impacts, example through crop yield simulations or hydrological modelling, on a timescale are needed. Here, we present data set of 258 years daily temperature precipitation fields Switzerland from 1763 2020. The was reconstructed with analogue resampling method, which resamples meteorological historical...
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 Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), novel high spatial resolution (0.01°) dataset daily air temperature entire Peru (1981–2020). The development involves four main steps: (i) quality control; (ii) gap-filling; (iii) homogenisation weather stations, and (iv) interpolation using additional data, revised calculation sequence an enhanced version control. This improved...
Abstract. The winter 1788/9 was one of the coldest winters Europe had witnessed in past 300 years. Fortunately for historical climatologists, this extreme event occurred at a time when many stations across Europe, both private and as part coordinated networks, were making quantitative observations weather. This means that several dozens early instrumental series are available to carry out an in-depth study severe cold spell. While there have been attempts present daily spatial information...
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,...
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...
Abstract. Climate reconstructions give insights into monthly and seasonal climate variability of the past few hundred years. However, for understanding extreme weather events relating them to impacts, example periods floods or yield losses, on a daily time scale are needed. Here, we present data set 250 years temperature precipitation fields Switzerland from 1763 2020, which has been created using early instrumental data. The reconstruction shows even an period before 1800 with scarce...
The assimilation of early instrumental, documentary, and proxy data into model simulations allows the study multivariate climate variability from monthly to centennial time scales. strength our paleo-reanalysis ModE-RA (Modern Era Reanalysis) lies specifically in period Little Ice Age because number assimilated values per year increases hundreds 17th century thousands 18th tens 19th century. In addition, recent efforts weather reconstruction based on instrumental even allow for European...
Abstract. Historical sources report manifold on hazardous past climate and weather events that had considerable impacts society. Studying changes in the occurrence or mechanisms behind such is, however, hampered by a lack of spatially temporally complete data. In particular, spring season has received less attention comparison to summer winter but is nevertheless relevant, since conditions can delay vegetation create substantial damage due late-frost events. For Switzerland, we created daily...
We investigate the applicability of deep learning methods for reconstructing daily weather data. Inspired by video inpainting, we propose a novel method, WeRec3D, which utilizes three-dimensional convolutional neural network. Our approach was developed iteratively evaluating six modeling improvement techniques.The resulting method reduces validation error to 48% compared baseline.Additionally, demonstrate impact spatial distribution observations on reconstruction accuracy and potential...
For Switzerland, high-resolution gridded data of daily mean temperature and precipitation sums have recently been developed based on a large amount early instrumental for period from 1763 to 1960. These fields were reconstructed with the analogue resampling method subsequently improved using assimilation bias correction fields. This new set together present-day meteorological since 1961 allows us study wide range historical extreme weather events in Switzerland their impacts past societies....
Abstract We investigate the applicability of deep learning (DL) methods for reconstructing daily weather data. Inspired by video inpainting, we propose a novel method, WeRec3D, which utilizes three‐dimensional convolutional neural network. Our approach was developed iteratively evaluating seven modeling improvement techniques. The resulting method reduces validation error 67% compared to two‐dimensional baseline, decreasing from RMSE = 0.4620 and MAE 0.311 0.1527 0.1093. Additionally,...
Abstract. Historical sources report manifold on hazardous past climate and weather events that had considerable impacts society. Studying changes in the occurrence or mechanisms behind such is, however, hampered by a lack of spatially temporally complete data. Especially, spring season has received less attention comparison to summer winter, but is nevertheless relevant since conditions can delay vegetation create substantial damage due for example late frost events. For Switzerland, we...
Abstract. Upper-air data form the backbone of weather analysis and reanalysis products, particularly in pre-satellite era. However, they are prone to errors uncertainties, especially from early days aerology. Information that allows better characterize radiosonde is important. This paper reports on an attempt collect historical upper-air intercomparisons error assessments reaching back 1930s. The digitised numerical will be made available through Copernicus Climate Change Services; here we...
Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), novel high spatial resolution (0.01°) dataset daily air temperature entire Peru (1981-2020). The development involves four main steps: i) quality control; ii) gap-filling; iii) homogenisation weather stations, and iv) interpolation using additional data, revised calculation sequence an enhanced version control. This improved methodological framework...
Abstract. Upper-air data form the backbone of weather analysis and reanalysis products, particularly in pre-satellite era. However, they are prone to errors uncertainties, especially from early days aerology. Information that allows us better characterize radiosonde is important. This paper reports on an attempt collect historical upper-air intercomparisons error assessments reaching back 1930s. The digitized numerical will be made available through Copernicus Climate Change Services; here...