faizan90 Goto Github PK
Type: User
Company: Technical University of Munich
Location: Munich, Germany
Type: User
Company: Technical University of Munich
Location: Munich, Germany
Tracking appearing and disappearing situations in a hyper-dimensional dataset over time. Based on the Tukey's data depth. Various plotting routines to visualize results. Could also be used to test model outputs against a known reference to see what the model can/cannot reproduce. Take a look at the script "test_app_dis.py" for how to use.
Data depth computation using the Tukey's data depth function. Computation of unit vectors distributed uniformly on a hyper-dimensional sphere. Robust Parameter Estimation (ROPE).
Download and bring DWD files to a useable format
Time series generation using the FFTMA algorithm
GRIB format reading on Windows using GDAL. Take a look at the scripts in the "test" directory for how to use.
Generic building blocks for making a multivariate time series generator using Simulated Annealing
Rainfall-runoff modeling using HBV. Options to run in a lumped or distributed form. Differential Evolution, Robust Parameter Estimation and Brute force algorithms used for calibration. Multi-basin calibration/validation. Various objective functions to evaluate model performance. Basin properties derived using the TauDEM executables. Various plotting routines to visualize results. Take a look at the scripts in the "templates" directory for how to use.
Iterative Amplitude Adjusted Fourier Transform with Simulated Annealing. Various properties kept during multivariate time series simulation by using a modified version of the IAAFT algorithm.
Multivariate time series infilling using the Normal copula as the dependence model. Data plausibility check by comparing known data against infilled values. Various plotting routines to visualize results.
Multivariate time series generator based on the Phase Annealing algorithm. Various objective functions that focus on multivariate copula properties while annealing. Various plotting routines to visualize results. Take a look at the scripts in the "test" directory for how to use.
Spatial interpolations using Kriging (Ordinary, Simple and External Drift) and IDW. Variogram fitting and clustering. Extraction of time series from raster data (GTiff and NC) to HDF5 or text. Take a look at the scripts in the "test" directory for how to use.
Weather circulation pattern classification using Fuzzy logic. Multiple objective functions. to choose from. Various plotting routines to visualize results.
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