Europe

Extreme Anomaly Event Detection in Biosphere Using Linear Regression and a Spatiotemporal MRF Model

Detecting abnormal events within time series is crucial for analyzing and understanding the dynamics of the system in many research areas. In this paper, we propose a methodology to detect these anomalies in multivariate environmental data. Five …

Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model

Detecting abnormal events within time series is crucial for analyzing and understanding the dynamics of the system in many research areas. In this paper, we propose a methodology to detect these anomalies in multivariate environmental data. Five …

Reviews and Syntheses: An Empirical Spatiotemporal Description of the Global Surface-Atmosphere Carbon Fluxes: Opportunities and Data Limitations

Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of …

A Novel Bias Correction Methodology for Climate Impact Simulations

Understanding, quantifying and attributing the impacts of extreme weather and climate events in the terrestrial biosphere is crucial for societal adaptation in a changing climate. However, climate model simulations generated for this purpose …

Coincidences of Climate Extremes and Anomalous Vegetation Responses: Comparing Tree Ring Patterns to Simulated Productivity

Climate extremes can trigger exceptional responses in terrestrial ecosystems, for instance by altering growth or mortality rates. Such effects are often manifested in reductions in net primary productivity (NPP). Investigating a Europe-wide network …

Influence of Physiological Phenology on the Seasonal Pattern of Ecosystem Respiration in Deciduous Forests

Understanding the environmental and biotic drivers of respiration at the ecosystem level is a prerequisite to further improve scenarios of the global carbon cycle. In this study we investigated the relevance of physiological phenology, defined as …

Climate-Mediated Spatiotemporal Variability in Terrestrial Productivity across Europe

Quantifying the interannual variability (IAV) of the terrestrial ecosystem productivity and its sensitivity to climate is crucial for improving carbon budget predictions. In this context it is necessary to disentangle the influence of climate from …

Extreme Events in Gross Primary Production: A Characterization across Continents

Climate extremes can affect the functioning of terrestrial ecosystems, for instance via a reduction of the photosynthetic capacity or alterations of respiratory processes. Yet the dominant regional and seasonal effects of hydrometeorological extremes …

Harmonized European Long-Term Climate Data for Assessing the Effect of Changing Temporal Variability on Land-Atmosphere CO2 Fluxes

Temporal variability of meteorological variables and extreme weather events is projected to increase in many regions of the world during the next century. Artificial experiments using process-oriented terrestrial ecosystem models make it possible to …