Carlos Velasco (cvelascof)

cvelascof

Geek Repo

Company:Bureau of Meteorology

Location:Melbourne, Australia

Twitter:@carlosvelasco

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Organizations
pySTEPS

Carlos Velasco's repositories

motion

Methods for motion field estimation and advection-based extrapolation.

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perturbation

Stochastic generators for synthetic precipitation fields.

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pysteps

main repository of the pySTEPS nowcasting initiative

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timeseries

Methods for modeling time series of precipitation fields.

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visualization

Visualization of 2d precipitation fields and forecasts.

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cartopy

Cartopy - a cartographic python library with matplotlib support

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Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

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Data-Analysis

Data Science Using Python

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datatools

Module to perform conversion of physical units (dBZ, mmhr) and various data transformations (probability matching etc)

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DeepRain

short term precipitation prediction with a UNet

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GSTools

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

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HydroErr

Goodness of Fit metrics for use in comparison studies, specifically in the field of hydrology.

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Hydrostats

Tools for use in comparison studies, specifically for use in the field of hydrology

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Intro_MachineLearning_Workshop

Materials for the Introduction to Linear Regression

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iotools

Reading and writing of 2d precipitation fields.

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netcdf-vis

Visualise netCDF wind and temp data on a web map using Leaflet-velocity

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PrecipitationFusion

A deep learning-based framework for multi-source precipitation fusion

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PyKrige

Kriging Toolkit for Python

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RAINLINK

Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network.

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RMWSPy

RMWSPy - A Python package for conditional random field simulation and inversion

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some-linux-commands

Some useful linux commands

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stepsnwc

Methods specific to the STEPS nowcasting model.

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tutorials

Tutorials and examples of using pySTEPS.

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verification

Methods for verification of forecasts.

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xarray

N-D labeled arrays and datasets in Python

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