Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–2 of 2 results
Advanced filters: Author: Florent Brient Clear advanced filters

  • How clouds respond to warming remains the greatest source of uncertainty in climate projections. Improved computational and observational tools can reduce this uncertainty. Here we discuss the need for research focusing on high-resolution atmosphere models and the representation of clouds and turbulence within them.

    • Tapio Schneider
    • João Teixeira
    • A. Pier Siebesma
    Comments & Opinion
    Nature Climate Change
    Volume: 7, P: 3-5

  • A newly identified emergent constraint applied to a key drought metric reduces uncertainty in future predictions of the longest annual dry spells, revealing that their increase due to climate change will be 40–50% greater than climate models project at present.

    • Irina Y. Petrova
    • Diego G. Miralles
    • Margot Bador
    ResearchOpen Access
    Nature
    Volume: 633, P: 594-600