News

02/07/2018 - While less new coal-fired power plants are now being built in China and India, the planned expansion in the use of coal in fast-growing emerging economies, such as Turkey, Indonesia and Vietnam, will in part cancel out the reduction. Only if the countries of the world actively counteract this trend, they can achieve the climate goals agreed in the Paris Agreement. These are the results of the study “Reports of coal’s terminal decline may be exaggerated,” authored by researchers from the Potsdam Institute on Climate Impact Research (PIK) and the Mercator Research Institute on Global Commons and Climate Change (MCC), published in the journal Environmental Research Letters

01/22/2018 - Planting trees or grasses on a grand scale in plantations to extract CO2 from the atmosphere - this could make a long-term contribution to climate protection, but it would push the planet beyond ecological limits in other dimensions. A new study by the Potsdam Institute for Climate Impact Research (PIK) in the journal Nature Climate Change now for the first time establishes a connection between ambitious international climate objectives and the more comprehensive concept of planetary boundaries. If biomass plantations in which plants bind carbon dioxide during growth are massively expanded, this would entail enormous risks for areas that are already stressed, such as biodiversity, biogeochemical flows, water resources and land use. According to the study, biomass as a means to capture and store CO2 can therefore only make a limited contribution. In order to stabilize the climate, a rapid reduction of greenhouse gas emissions from the combustion of coal, oil and gas is crucial.

01/03/2018 - From stock indices to sea surface temperatures, a lot of relevant data comes in the form of time series. Reliable detection of abrupt transitions such as a downswing of stock values or water warming during an El Niño event in the Pacific is obviously important, but most analyses fail to take into account the uncertainties in the data. The challenge is to distinguish sudden changes while being aware of the underlying uncertainties. Although there are a number of change point detection methods, scientists now propose for the first time an approach that accurately represents the time series uncertainties and thus provide a more robust analysis.