172
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Global projections of river flood risk in a warmer world : RIVER FLOOD RISK IN A WARMER WORLD

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references 38

          • Record: found
          • Abstract: not found
          • Book: not found

          The operated Markov´s chains in economy (discrete chains of Markov with the income)

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            SoilGrids1km — Global Soil Information Based on Automated Mapping

            Background Soils are widely recognized as a non-renewable natural resource and as biophysical carbon sinks. As such, there is a growing requirement for global soil information. Although several global soil information systems already exist, these tend to suffer from inconsistencies and limited spatial detail. Methodology/Principal Findings We present SoilGrids1km — a global 3D soil information system at 1 km resolution — containing spatial predictions for a selection of soil properties (at six standard depths): soil organic carbon (g kg−1), soil pH, sand, silt and clay fractions (%), bulk density (kg m−3), cation-exchange capacity (cmol+/kg), coarse fragments (%), soil organic carbon stock (t ha−1), depth to bedrock (cm), World Reference Base soil groups, and USDA Soil Taxonomy suborders. Our predictions are based on global spatial prediction models which we fitted, per soil variable, using a compilation of major international soil profile databases (ca. 110,000 soil profiles), and a selection of ca. 75 global environmental covariates representing soil forming factors. Results of regression modeling indicate that the most useful covariates for modeling soils at the global scale are climatic and biomass indices (based on MODIS images), lithology, and taxonomic mapping units derived from conventional soil survey (Harmonized World Soil Database). Prediction accuracies assessed using 5–fold cross-validation were between 23–51%. Conclusions/Significance SoilGrids1km provide an initial set of examples of soil spatial data for input into global models at a resolution and consistency not previously available. Some of the main limitations of the current version of SoilGrids1km are: (1) weak relationships between soil properties/classes and explanatory variables due to scale mismatches, (2) difficulty to obtain covariates that capture soil forming factors, (3) low sampling density and spatial clustering of soil profile locations. However, as the SoilGrids system is highly automated and flexible, increasingly accurate predictions can be generated as new input data become available. SoilGrids1km are available for download via http://soilgrids.org under a Creative Commons Non Commercial license.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              EC-Earth V2.2: description and validation of a new seamless earth system prediction model

                Bookmark

                Author and article information

                Journal
                Earth's Future
                Earth's Future
                Wiley
                23284277
                February 2017
                February 2017
                February 14 2017
                : 5
                : 2
                : 171-182
                Affiliations
                [1 ]European Commission; Joint Research Centre; Ispra Italy
                [2 ]Rossby Centre; Swedish Meteorological and Hydrological Institute; Norrköping Sweden
                Article
                10.1002/2016EF000485
                © 2017

                Comments

                Comment on this article