stoPET Training Notebooks

batchjob_submision

• Learning objective:
  • 1. Batch job submission
• 1.1 creating directories to hold necessary files
• 1.2 Creating the bash files
• 1.3 Submitting multiple jobs

cuwalid_stopet

• 1. stoPET
  • 1.1 Changing input parameters
  • 1.2 Adjusting for temperature increase
  • 1.3 Output
  • 1.4 Post processing and visualization
  • 1.5 Generating regional data
• 2. Batch job submission
  • 2.1 creating directories to hold necessary files
  • 2.2 Creating the bash files
  • 1.3 Submitting multiple jobs

stopet_introduction

• Learning objective:
• 1. stoPET
• hPET = [0.408 * ∆ (Rn - G) + γ(37/Ta + 273)* u2(es - ea)] / [∆ + γ(1 + 0.34u2)]
• Y = A sin (B × t + C) + D
• Stochastic PET = (average diurnal cycle of PET using a sine function × a random noise ratio) + user-defined annual PET variability.
  • 1.1 Changing input parameters
  • 1.2 Adjusting for temperature increase
  • 1.3 Model Output
  • 1.4 Post processing and visualization

stopet_regionaldata

• Learning objective:
  • Generating regional data