Zscheischler, J.; Orth, R.; Seneviratne, S. I.: Bivariate return periods of temperature and precipitation explain a large fraction of European crop yields. Biogeosciences 14 (13), pp. 3309 - 3320 (2017)
Orth, R.; Vogel, M. M.; Luterbacher, J.; Pfister, C.; Seneviratne, S. I.: Did European temperatures in 1540 exceed present-day records? Environmental Research Letters 11, 114021 (2016)
Orth, R.; Zscheischler, J.; Seneviratne, S. I.: Record dry summer in 2015 challenges precipitation projections in Central Europe. Scientific Reports 6, 28334 (2016)
Orth, R.; Seneviratne, S. I.: Introduction of a simple-model-based land surface dataset for Europe. Environmental Research Letters 10 (4), 044012 (2015)
Whan, K.; Zscheischler, J.; Orth, R.; Shongwe, M.; Rahimi, M.; Asare, E. O.: Impact of soil moisture on extreme maximum temperatures in Europe. Weather and Climate Extremes 9, pp. 57 - 67 (2015)
Zscheischler, J.; Orth, R.; Seneviratne, S. I.: A submonthly database for detecting changes in vegetation-atmosphere coupling. Geophysical Research Letters 42 (22), pp. 9816 - 9824 (2015)
Orth, R.; Seneviratne, S. I.: Using soil moisture forecasts for sub-seasonal summer temperature predictions in Europe. Climate Dynamics 43 (12), pp. 3403 - 3418 (2014)
Orth, R.; Koster, R. D.; Seneviratne, S. I.: Inferring soil moisture memory from streamflow observations using a simple water balance model. Journal of Hydrometeorology 14 (6), pp. 1773 - 1790 (2013)
Orth, R.; Seneviratne, S. I.: Predictability of soil moisture and streamflow on subseasonal timescales: A case study. Journal of Geophysical Research: Atmospheres 118 (19), pp. 10963 - 10979 (2013)
Orth, R.; Seneviratne, S. I.: Propagation of soil moisture memory to streamflow and evapotranspiration in Europe. Hydrology and Earth System Sciences 17 (10), pp. 3895 - 3911 (2013)
Orth, R.; Seneviratne, S. I.: Analysis of soil moisture memory from observations in Europe. Journal of Geophysical Research: Atmospheres 117 (D15), D15115 (2012)
The new research project "PollenNet" aims to use artificial intelligence to accurately predict the spread of pollen. In order to improve allergy prevention, experts are bringing together the latest interdisciplinary findings from a wide range of fields.
If rivers overflow their banks, the consequences can be devastating. Using methods of explainable machine learning, researchers at the Helmholtz Centre for Environmental Research (UFZ) have shown that floods are more extreme when several factors are involved in their development.
Europe is the fastest warming continent in the world. According to the European Environment Agency’s assessment, many of these risks have already reached critical levels and could become catastrophic without urgent and decisive action.
Plant observations collected with plant identification apps such as Flora Incognita allow statements about the developmental stages of plants - both on a small scale and across Europe.
Global experts have unveiled the annual 10 New Insights in Climate Science report. The report equips policymakers with the latest and most pivotal climate science research from the previous 18 months, synthesised to help inform negotiations at COP28 and policy implementation through 2024 and beyond.
Vegetation can respond to drought through different mechanisms, including changes in the plants’ structure and physiology. By analyzing state-of-the-art satellite-derived datasets with explainable machine learning methods, an international team around Wantong Li and René Orth showed that the vegetation’s physiology in many ecosystems has deviated from its structure under drought on a global scale.
Carbon sinks on the land surface mitigate the greenhouse effect. An international team of scientists has now determined that the vast majority of Europe’s total above-ground carbon storage is provided by the forests of Eastern Europe. However, this carbon sink has declined, mainly due to changes in land use.
The world’s forests, grasslands, and other terrestrial ecosystems have played a substantial role in offsetting human carbon emissions—a capability that researchers say would be threatened by continued global change.
A new study shows that the efficiency of microbial carbon use is at least four times more influential than other biological factors or environmental conditions on the global storage and distribution of carbon in soil.
Germany's most popular plant identification app "Flora Incognita" has been further upgraded by a new artificial intelligence. This triples the number of plant species that can be identified up to 16,000. In addition, the app is now available in 20 different languages and also in offline mode.
Dr. Ana Bastos, group leader at Max Planck Institute for Biogeochemistry in Jena, was awarded the Beutenberg Campus science award in the category „outstanding junior research scientist”.