manu9418
Bachelor’s Degree in Meteorology with a particular interest in atmospheric dynamics and climate over the Amazon basin, Climate Change and more...
IGPLima, Perú
Pinned Repositories
hockey
ICESat2_hackweek_tutorials
Combined repository for final tutorial material from 2019 ICESat-2 HackWeek at the Univeristy of Washington
IRH
Tareas asignadas Master UNALM
machinelearning-az
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
manu9418
mi_primera_web
PayitaWeb
Web test
PISCO_clase
unalm 12.10.2019
PWDC
practicas de programacion web full stack
PyEarthScience
The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
manu9418's Repositories
manu9418/PISCO_clase
unalm 12.10.2019
manu9418/PyEarthScience
The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
manu9418/hockey
manu9418/ICESat2_hackweek_tutorials
Combined repository for final tutorial material from 2019 ICESat-2 HackWeek at the Univeristy of Washington
manu9418/IRH
Tareas asignadas Master UNALM
manu9418/machinelearning-az
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
manu9418/manu9418
manu9418/mi_primera_web
manu9418/PayitaWeb
Web test
manu9418/PWDC
practicas de programacion web full stack
manu9418/Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
manu9418/virtual-store_react2