Pinned Repositories
06_Python_Object_Class
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
07_Python_Advanced_Topics
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
12_Python_Seaborn_Module
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
arabian_sea
ROMS run of the Arabian Sea
arcgis-python-api
Documentation and samples for ArcGIS API for Python
AS213_Python_in_Atmos_Sciences
Course materials for AS 213: Introduction to Python and Its Applications in Atmospheric Sciences.
atmos_drivers
Driver programs for FMS enabled atmospheric dynamical cores
Atmos_Dyn
HW assignments for Atmospheric Dynamics
CESM
The Community Earth System Model
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.
mahendrawrf's Repositories
mahendrawrf/arcgis-python-api
Documentation and samples for ArcGIS API for Python
mahendrawrf/atmos_drivers
Driver programs for FMS enabled atmospheric dynamical cores
mahendrawrf/CESM
The Community Earth System Model
mahendrawrf/CESM-Tutorial
mahendrawrf/ClimatePython
📈 Series of workshops and lectures using Python in the climate/atmospheric sciences 📉
mahendrawrf/compPhy
Assortment of code for model systems in computational physics
mahendrawrf/Course_Climate_Risk_Assessment
mahendrawrf/earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
mahendrawrf/GEO4962
The General Circulation of the Atmosphere
mahendrawrf/IMD-grid-data-work
Some work on IMD Pune's gridded data sets
mahendrawrf/Land-Cover-Analysis
Land Cover Change Detection using Satellite Image Segmentation.
mahendrawrf/M_py
mahendrawrf/MAHENDRA_PY
mahendrawrf/MeteoInfo
MeteoInfo: GIS and scientific computation environment for meteorological community.
mahendrawrf/NCEP-GFS
Visualizing NCEP/GDAS' FNL Meteorological Dataset, core of GFS Model, at 0.25 x 0.25 degree (These notebooks can be used, accordingly, based on your preference).
mahendrawrf/netcommunities
BSISO extreme rainfall propagation modulated by Pacific sea surface temperatures
mahendrawrf/noaaplotter
python module to make fancy plots for weather data provided by NOAA
mahendrawrf/Pathfinding-Algorithms
A Python implementation and visualization of various pathfinding and graph search algorithms.
mahendrawrf/PNAS-Kmeans-ENSO
PNAS -- Historical change of El Niño properties sheds light on future changes of extreme El Niño
mahendrawrf/pyqg
Quasigeostrophic model in python
mahendrawrf/PyScanCf
Creates PyART compatible cf-radial data from single scans of IMD Radar data.
mahendrawrf/python-tips-and-tricks
mahendrawrf/RWB
Detect, classify, and track Rossby Wave Breaking (RWB) in weather and climate data.
mahendrawrf/sacpy
A Python Package for Statistical Analysis of Climate
mahendrawrf/SkillMetrics
A Python library for calculating and displaying the skill of model predictions against observations.
mahendrawrf/varying-surface-forcing
A set of Jupyter notebooks used to produce figures for the paper: "Surface heating steers planetary-scale ocean circulation" (can be accessed through https://www.navidconstantinou.com/publications/buoyancygyres.pdf)
mahendrawrf/WMT-project
mahendrawrf/WRF-MASTER
This BASH script installs all the required libraries, packages, software, dependencies, etc for the Weather Research & Forecasting model suite.
mahendrawrf/XEE_tutorial
mahendrawrf/xinvert
Invert geofluid dynamic problem using SOR iteration method.