---
res:
  bibo_abstract:
  - Decision makers and consultants are particularly interested in “detailed” information
    on future climate to prepare adaptation strategies and adjust design criteria.
    Projections of future climate at local spatial scales and fine temporal resolutions
    are subject to the same uncertainties as those at the global scale but the partition
    among uncertainty sources (emission scenarios, climate models, and internal climate
    variability) remains largely unquantified. At the local scale, the uncertainty
    of the mean and extremes of precipitation is shown to be irreducible for mid and
    end-of-century projections because it is almost entirely caused by internal climate
    variability (stochasticity). Conversely, projected changes in mean air temperature
    and other meteorological variables can be largely constrained, even at local scales,
    if more accurate emission scenarios can be developed. The results were obtained
    by applying a comprehensive stochastic downscaling technique to climate model
    outputs for three exemplary locations. In contrast with earlier studies, the three
    sources of uncertainty are considered as dependent and, therefore, non-additive.
    The evidence of the predominant role of internal climate variability leaves little
    room for uncertainty reduction in precipitation projections; however, the inference
    is not necessarily negative, because the uncertainty of historic observations
    is almost as large as that for future projections with direct implications for
    climate change adaptation measures.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Simone
      foaf_name: Fatichi, Simone
      foaf_surname: Fatichi
      foaf_workInfoHomepage: http://www.librecat.org/personId=cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  - foaf_Person:
      foaf_givenName: Valeriy Y.
      foaf_name: Ivanov, Valeriy Y.
      foaf_surname: Ivanov
  - foaf_Person:
      foaf_givenName: Athanasios
      foaf_name: Paschalis, Athanasios
      foaf_surname: Paschalis
  - foaf_Person:
      foaf_givenName: Nadav
      foaf_name: Peleg, Nadav
      foaf_surname: Peleg
  - foaf_Person:
      foaf_givenName: Peter
      foaf_name: Molnar, Peter
      foaf_surname: Molnar
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Rimkus, Stefan
      foaf_surname: Rimkus
  - foaf_Person:
      foaf_givenName: Jongho
      foaf_name: Kim, Jongho
      foaf_surname: Kim
  - foaf_Person:
      foaf_givenName: Paolo
      foaf_name: Burlando, Paolo
      foaf_surname: Burlando
  - foaf_Person:
      foaf_givenName: Enrica
      foaf_name: Caporali, Enrica
      foaf_surname: Caporali
  bibo_doi: 10.1002/2015ef000336
  bibo_issue: '5'
  bibo_volume: 4
  dct_date: 2016^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2328-4277
  dct_language: eng
  dct_publisher: American Geophysical Union@
  dct_title: Uncertainty partition challenges the predictability of vital details
    of climate change@
...