Workflow

Week 7 - End of online phase: Weather Generator

• activating RWGEN

• running RWGEN with various climate change ensembles

• identifying similarities between observed and simulated data, checking data fitting

Week 5-6 Tasks: RWGEN

• Installing anaconda/miniconda

• Installing packages required for RWGEN

• activating RWGEN

• running RWGEN with 15-minute interval Catchment data (10000 years)

• identifying similarities between observed and simulated data, checking data fitting

Week 3-4 Tasks: Understanding why we're doing what we're doing

• Reading literature on current methodologies

• Organising Engineering Report - 1

• Completing remaining tasks of week 1 and week 2

Week 2 Tasks: Rainfall data pre-processing

• Data treatment for the Ouseburn Catchment

• Cleaning Rainfall data

• Joining and Imputation of data

• Spatial Interpolation of data

• Applying different methods

• Deciding methodology based on rainfall statistics

Week 1 Tasks: Familiarizing with the data

• How many years of data we have

• Completeness of the data

• Units of the data

• Temporal Resolution of the data

• Statistical analyses - mean, median, standard deviation, percentiles (Q1, Q5, Q95, Q99)

• Plotting 94/95 and 07/08 flow and rainfall data - checking seasonal variations, identifying wet season and dry season, identifying differences in two hydrological years

• Annual maxima of every hydrological year provided