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      Human domination of the global water cycle absent from depictions and perceptions

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          Ocean salinities reveal strong global water cycle intensification during 1950 to 2000.

          Fundamental thermodynamics and climate models suggest that dry regions will become drier and wet regions will become wetter in response to warming. Efforts to detect this long-term response in sparse surface observations of rainfall and evaporation remain ambiguous. We show that ocean salinity patterns express an identifiable fingerprint of an intensifying water cycle. Our 50-year observed global surface salinity changes, combined with changes from global climate models, present robust evidence of an intensified global water cycle at a rate of 8 ± 5% per degree of surface warming. This rate is double the response projected by current-generation climate models and suggests that a substantial (16 to 24%) intensification of the global water cycle will occur in a future 2° to 3° warmer world.
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            Is Open Access

            Estimating the volume and age of water stored in global lakes using a geo-statistical approach

            Lakes are key components of biogeochemical and ecological processes, thus knowledge about their distribution, volume and residence time is crucial in understanding their properties and interactions within the Earth system. However, global information is scarce and inconsistent across spatial scales and regions. Here we develop a geo-statistical model to estimate the volume of global lakes with a surface area of at least 10 ha based on the surrounding terrain information. Our spatially resolved database shows 1.42 million individual polygons of natural lakes with a total surface area of 2.67 × 106 km2 (1.8% of global land area), a total shoreline length of 7.2 × 106 km (about four times longer than the world's ocean coastline) and a total volume of 181.9 × 103 km3 (0.8% of total global non-frozen terrestrial water stocks). We also compute mean and median hydraulic residence times for all lakes to be 1,834 days and 456 days, respectively.
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              Estimates of the Global Water Budget and Its Annual Cycle Using Observational and Model Data

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                Author and article information

                Journal
                Nature Geoscience
                Nat. Geosci.
                Springer Science and Business Media LLC
                1752-0894
                1752-0908
                June 10 2019
                Article
                10.1038/s41561-019-0374-y
                d2ea3dab-1178-4458-819c-dde4c8629945
                © 2019

                http://www.springer.com/tdm

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