Journal: Nature Climate Change

Abbreviation

Nat. Clim. Chang.

Publisher

Nature

Journal Volumes

ISSN

1758-6798

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2011 - 2019902020 - 202662
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Publications1 - 10 of 152
  • Science and policy characteristics of the Paris Agreement temperature goal
    Item type: Journal Article
    Schleussner, Carl-Friedrich; Rogelj, Joeri; Schaeffer, Michiel; et al. (2016)
    Nature Climate Change
  • Applying big data beyond small problems in climate research
    Item type: Review Article
    Knüsel, Benedikt; Zumwald, Marius; Baumberger, Christoph; et al. (2019)
    Nature Climate Change
    Commercial success of big data has led to speculation that big-data-like reasoning could partly replace theory-based approaches in science. Big data typically has been applied to ‘small problems’, which are well-structured cases characterized by repeated evaluation of predictions. Here, we show that in climate research, intermediate categories exist between classical domain science and big data, and that big-data elements have also been applied without the possibility of repeated evaluation. Big-data elements can be useful for climate research beyond small problems if combined with more traditional approaches based on domain-specific knowledge. The biggest potential for big-data elements, we argue, lies in socioeconomic climate research.
  • Multidimensional partisanship shapes climate policy support and behaviours
    Item type: Journal Article
    Mayer, Adam P.; Smith, E. Keith (2023)
    Nature Climate Change
    Partisanship is one of the largest and most studied social barriers to climate change mitigation in the United States. Here we expand conceptualizations of ‘left-right’ or ‘Democrat-Republican’ towards understanding partisanship as a multidimensional social identity with both negative and positive elements. Partisan support or opposition for climate action can be driven by identification with the partisan in-group (positive or ‘expressive’ partisanship), as well as perceived threats from the ‘out-group’ (negative partisanship). Using original survey data, we show that when negative and expressive partisanship is low, climate policy support is similar for Republicans and Democrats. However, differences in policy support increase when partisan identification amplifies. Yet, for climate behaviours, we find more limited partisan effects. The proposed multidimensional partisanship framework revisits the role of partisan polarization in shaping climate change action and points to alternative ways to transcend partisan barriers.
  • Drought-induced decline in Mediterranean truffle harvest
    Item type: Other Journal Item
    Büntgen, Ulf; Egli, Simon; Camarero, J. Julio; et al. (2012)
    Nature Climate Change
  • Substantial twentieth-century Arctic warming caused by ozone-depleting substances
    Item type: Journal Article
    Polvani, Lorenzo M.; Previdi, Michael; England, Mark R.; et al. (2020)
    Nature Climate Change
  • Author Correction: In the observational record half a degree matters
    Item type: Other Journal Item
    Schleussner, Carl-Friedrich; Pfleiderer, Peter; Fischer, Erich M. (2018)
    Nature Climate Change
  • Increased rainfall volume from future convective storms in the US
    Item type: Journal Article
    Prein, Andreas F.; Liu, Changhai; Ikeda, Kyoko; et al. (2017)
    Nature Climate Change
    Mesoscale convective system (MCS)-organized convective storms with a size of ~100 km have increased in frequency and intensity in the USA over the past 35 years1, causing fatalities and economic losses2. However, their poor representation in traditional climate models hampers the understanding of their change in the future3. Here, a North American-scale convection-permitting model which is able to realistically simulate MSCs4 is used to investigate their change by the end-of-century under RCP8.5 (ref. 5). A storm-tracking algorithm6 indicates that intense summertime MCS frequency will more than triple in North America. Furthermore, the combined effect of a 15–40% increase in maximum precipitation rates and a significant spreading of regions impacted by heavy precipitation results in up to 80% increases in the total MCS precipitation volume, focussed in a 40 km radius around the storm centre. These typically neglected increases substantially raise future flood risk. Current investments in long-lived infrastructures, such as flood protection and water management systems, need to take these changes into account to improve climate-adaptation practices.
  • The potential to reduce uncertainty in regional runoff projections from climate models
    Item type: Journal Article
    Lehner, Flavio; Wood, Andrew W.; Vano, Julie A.; et al. (2019)
    Nature Climate Change
  • Extreme heat-related mortality avoided under Paris Agreement goals
    Item type: Journal Article
    Mitchell, Daniel M.; Heaviside, Clare; Schaller, Nathalie; et al. (2018)
    Nature Climate Change
  • The future intensification of hourly precipitation extremes
    Item type: Journal Article
    Prein, Andreas F.; Rasmussen, Roy M.; Ikeda, Kyoko; et al. (2017)
    Nature Climate Change
    Extreme precipitation intensities have increased in all regions of the Contiguous United States (CONUS)1 and are expected to further increase with warming at scaling rates of about 7% per degree Celsius (ref. 2), suggesting a significant increase of flash flood hazards due to climate change. However, the scaling rates between extreme precipitation and temperature are strongly dependent on the region, temperature3, and moisture availability4, which inhibits simple extrapolation of the scaling rate from past climate data into the future5. Here we study observed and simulated changes in local precipitation extremes over the CONUS by analysing a very high resolution (4 km horizontal grid spacing) current and high-end climate scenario that realistically simulates hourly precipitation extremes. We show that extreme precipitation is increasing with temperature in moist, energy-limited, environments and decreases abruptly in dry, moisture-limited, environments. This novel framework explains the large variability in the observed and modelled scaling rates and helps with understanding the significant frequency and intensity increases in future hourly extreme precipitation events and their interaction with larger scales.
Publications1 - 10 of 152