• Estimating near-surface air temperature across Israel using a machine learning based hybrid approach 

      Zhou, BinORCIDiD; Erell, Evyatar; Hough, IanORCIDiD; Rosenblatt, Jonathan; Just, Allan C.; Novack, Victor; Kloog, Itai (International Journal of Climatology, 2020)
      Rising global temperatures over the last decades have increased heat exposure among populations worldwide. An accurate estimate of the resulting impacts on human health demands temporally explicit and spatially resolved ...
    • Precipitation Over Southern Africa: Moisture Sources and Isotopic Composition 

      Geppert, M.ORCIDiD; Hartmann, K.ORCIDiD; Kirchner, I.ORCIDiD; Pfahl, S.ORCIDiD; Struck, U.ORCIDiD; Riedel, F. (Journal of Geophysical Research: Atmospheres, 2022-11-03)
      Southern Africa, with its vast arid to semiarid areas, is considered vulnerable to precipitation changes and amplifying weather extremes. However, during the last 100 ka, huge lakes existed in the currently dry central ...
    • Predicting Convective Downdrafts From Updrafts and Environmental Conditions in a Global Storm Resolving Simulation 

      Windmiller, J. M.ORCIDiD; Bao, J.ORCIDiD; Sherwood, S. C.ORCIDiD; Schanzer, T. D.ORCIDiD; Fuchs, D.ORCIDiD (Journal of Advances in Modeling Earth Systems, 2023-03-02)
      One important component of precipitating convection is the formation of convective downdrafts. They can terminate the initial updraft, affect the mean properties of the boundary layer, and cause strong winds at the surface. ...
    • Synthetic resampling strategies and machine learning for digital soil mapping in Iran 

      Taghizadeh‐Mehrjardi, Ruhollah; Schmidt, KarstenORCIDiD; Eftekhari, KamranORCIDiD; Behrens, ThorstenORCIDiD; Jamshidi, Mohammad; Davatgar, Naser; Toomanian, Norair; Scholten, ThomasORCIDiD (European Journal of Soil Science, 2020-01-08)
      Most common machine learning (ML) algorithms usually work well on balanced training sets, that is, datasets in which all classes are approximately represented equally. Otherwise, the accuracy estimates may be unreliable ...