Tuesday, January 11, 2022

GWS2022 Day 2: Data analysis of meteorological timeseries - Kriging interpolation, theory and practice

 



This day of the GWS2022 is dedicated to: 

  • Analyse the hydrological data:
    1. Rainfall, temperature, and river discharge data analysis (video, OMS project)
      • Jupyter/00a_Rainfall_analysis.ipynb
      • Jupyter/00b_Temperature_analysis.ipynb 
      • Jupyter/00c_Discharge_analysis.ipynb
       2. Normal score transformation of rainfall data (video, OMS project) 
      • Jupyter/Normal_score.ipynb
  • Presents and apply theory and concepts for kriging interpolation of meteorological data:
    1. Kriging concept (slides, video)
    2. Variograms: theory (slides, video), application (video, OMS project)
    3. Kriging math(slides, video), application (video, OMS project)
    4. Leave one out cross validation (video)








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