TY - DATA
T1 - Data and codes underlying the publication: "CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links"
PY - 2025/01/30
AU - Martin Fencl
AU - Marc Schleiss
UR - 
DO - 10.4121/5c4ad375-4e88-402b-ac46-d27bb47250c3.v1
KW - microwave links
KW - CML
KW - rainfall
KW - disaggregation
KW - CLEAR
N2 - <p><strong><u>Description:</u></strong> This dataset contains all essential data and codes underlying the publication&nbsp;"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.</p><p><br></p><p><strong><u>Datasets:</u></strong></p><p><br></p><ul><li><strong>cml_metadata.csv:</strong> contains information about the frequency, polarization, and coordinates of CMLs.</li></ul><p><br></p><ul><li><strong>rainfall_field_rain_rates.zip:</strong> contains high-resolution simulated rainfall fields (210 events).</li></ul><p><br></p><ul><li><strong>rainfall_field_coordinates.csv: </strong>contains the coordinates of each grid cell in the simulated rainfall fields.</li></ul><p><br></p><ul><li><strong>virtual_rain_rates_along_CMLs.Rdata:</strong> contains the distributed and path-averaged rain rates along the CML paths.</li></ul><p><br></p><ul><li><strong>clearEnsemble.Rdata:</strong> contains 50 realizations of the CLEAR algorithm as well as the GMZ benchmark.</li></ul><p><br></p><ul><li><strong>w_table_all_events.Rdata: </strong>contains the empirical cascade weights needed to fit the standard deviation model of the cascade generator.</li></ul><p><br></p><p><strong><u>Codes:</u></strong></p><p><br></p><ul><li><strong>fun_CLEAR.R:</strong> Functions and helper functions for the CLEAR algorithm.</li></ul><p><br></p><ul><li><strong>fun_CML.R: </strong>Functions for processing CML data, also available at GitHub (https://github.com/fenclmar/Rcmlrain/tree/master)</li></ul><p><br></p><ul><li><strong>01_sample_estimation_empirical_weights.Rmd</strong>: R script for calculating empirical cascade weights.</li></ul><p><br></p><ul><li><strong>02_sample_estimation_fitting_SDmodel.Rmd</strong>: R script for fitting the cascade generator model.</li></ul><p><br></p><ul><li><strong>03_extract_virtual_rainfall_from_CMLs.Rmd:</strong> R script for extracting distributed and path-averaged rain rates from virtual rainfall fields.</li></ul><p><br></p><ul><li><strong>04_CLEAR_disaggregation.Rmd:</strong> R script for disaggregating and resampling path-averaged CML rain rates using the CLEAR and GMZ algorithms.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p>
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