Data and codes underlying the publication: "CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links"

DOI:10.4121/5c4ad375-4e88-402b-ac46-d27bb47250c3.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/5c4ad375-4e88-402b-ac46-d27bb47250c3
Datacite citation style:
Fencl, Martin; Schleiss, Marc (2025): Data and codes underlying the publication: "CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5c4ad375-4e88-402b-ac46-d27bb47250c3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Description: This dataset contains all essential data and codes underlying the publication "CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links". Please see the README for more in-depth information about the content of each dataset and script.


Datasets:


  • cml_metadata.csv: contains information about the frequency, polarization, and coordinates of CMLs.


  • rainfall_field_rain_rates.zip: contains high-resolution simulated rainfall fields (210 events).


  • rainfall_field_coordinates.csv: contains the coordinates of each grid cell in the simulated rainfall fields.


  • virtual_rain_rates_along_CMLs.Rdata: contains the distributed and path-averaged rain rates along the CML paths.


  • clearEnsemble.Rdata: contains 50 realizations of the CLEAR algorithm as well as the GMZ benchmark.


  • w_table_all_events.Rdata: contains the empirical cascade weights needed to fit the standard deviation model of the cascade generator.


Codes:


  • fun_CLEAR.R: Functions and helper functions for the CLEAR algorithm.


  • fun_CML.R: Functions for processing CML data, also available at GitHub (https://github.com/fenclmar/Rcmlrain/tree/master)


  • 01_sample_estimation_empirical_weights.Rmd: R script for calculating empirical cascade weights.


  • 02_sample_estimation_fitting_SDmodel.Rmd: R script for fitting the cascade generator model.


  • 03_extract_virtual_rainfall_from_CMLs.Rmd: R script for extracting distributed and path-averaged rain rates from virtual rainfall fields.


  • 04_CLEAR_disaggregation.Rmd: R script for disaggregating and resampling path-averaged CML rain rates using the CLEAR and GMZ algorithms.     

                               

History

  • 2025-01-30 first online, published, posted

Publisher

4TU.ResearchData

Format

csv files, R data and R scripts

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing

DATA

Files (13)