Reconstruction of hydrometeorological data using dendrochronology and machine learning approaches to bias-correct climate models in northern

HIGHLIGHTS

• who: CMIP and colleagues from the Mountain Societies Research Institute, University of Central Asia, Bishkek , have published the Article: Reconstruction of Hydrometeorological Data Using Dendrochronology and Machine Learning Approaches to Bias-Correct Climate Models in Northern, in the Journal: Water 2022, 14, 2297. of /2022/
• what: The aim of this study is to show the importance of GCM spatial resolution and the new parameterization of the physical processes in a region of complex orography, using historical simulations from the Climate Model Intercomparison Project phase 5 (CMIP5), CMIP6, and Coordinated Regional Climate Downscaling Experiment 3 of . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.