adityarn
Postdoctoral researcher at the School of Ocean and Earth Sciences, University of Southampton, UK. I work on Southern Ocean dynamics.
Pinned Repositories
adityarn.github.io
My academic website
antarctic_margins_MEOP
scipts used for MEOP data analysis: continental shelf and shelf break
awesome-open-climate-science
Awesome Open Atmospheric, Ocean, and Climate Science
CDW_mixing_ACCESS
Repo on GADI, NCI
climate_data_science
Python for Climate Data Science
ClimateModeling_courseware
A collection of interactive lecture notes and assignments in Jupyter notebook format.
MAV110_PythonModule
NFHS
A Python Project to make the National Family Health Survey Data accesible to the public and allow easy visualisation of the data
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.
PythonWorkshopNCPOR
adityarn's Repositories
adityarn/awesome-open-climate-science
Awesome Open Atmospheric, Ocean, and Climate Science
adityarn/MAV110_PythonModule
adityarn/NFHS
A Python Project to make the National Family Health Survey Data accesible to the public and allow easy visualisation of the data
adityarn/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.
adityarn/adityarn.github.io
My academic website
adityarn/antarctic_margins_MEOP
scipts used for MEOP data analysis: continental shelf and shelf break
adityarn/CDW_mixing_ACCESS
Repo on GADI, NCI
adityarn/climate_data_science
Python for Climate Data Science
adityarn/ClimateModeling_courseware
A collection of interactive lecture notes and assignments in Jupyter notebook format.
adityarn/CV
my academic CV
adityarn/heaving_buoy
adityarn/PythonWorkshopNCPOR
adityarn/ICTS_OMMBOB_2019
Satellite data analysis group
adityarn/India_Climate_Stripes
analysis of chennai's climate
adityarn/intro_to_physical_oceanography
Course materials for Introduction to Introduction to Physical Oceanography (EESC4925)
adityarn/kadal
Climate Science blog
adityarn/MAR440_PythonModule
Python introduction to basics, arrays, scientific computing and plotting
adityarn/MetPy
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
adityarn/pangeo
A place to discuss and track issues related to the Pangeo project
adityarn/pangeo-example-notebooks
Jupyter notebooks for use with pangeo-data/helm-chart
adityarn/presentations
All public presentations made by me
adityarn/pycnogen
adityarn/python-workshop
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
adityarn/python4oceanographers
Python lectures with oceanography examples.
adityarn/PythonWorkshopIITM_LUG
Material prepared for conducting a workshop on "Python for Scientific Computing"
adityarn/SOprofiles
Preprocesses Southern Ocean profiles from MEOP and Argo databases
adityarn/SOSE
Scripts to analyze Southern Ocean State Estimate