candrasa Goto Github PK

air

a project to visualize Tokyo wind and air pollutants

bookcode_edition1

cartoweb3

Advanced Geographical Information System for the Web

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

coba

dartpy

Python codes for state-space analysis of output from the Data Assimilation Research Testbed

earth

a project to visualize global weather conditions

elastickibana

Real-Time Twitter Monitoring Using ELK Stack

eofs

EOF analysis in Python

githubnewbie

Have no idea about git hub

inerosci

This repository contains the code and data associated with the paper titled "Numerical Simulation of the 2D Trajectory of a Non-Buoyant Fluid Parcel under the Influence of Inertial Oscillation"

input_reader

C++ based input reader

jualan_bpropolis

Latihan Android karena lagi Buntu Thesis

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kid

Kinematic Driver (KiD) for microphysics scheme development, testing and comparison.

kid-a

Kinematic Driver (KiD) and Aerosol model used in the International Cloud Modelling Workshop (ICMW) 2016 and the GASS microphysics project

kid-libcloud

libcloudphxx

libcloudphysics++ - a library of algorithms for representing cloud microphysics in numerical models

matlab_pgaube

meteogram-py

Interface around Matplotlib to quickly and easily create meteogram charts.

microhh

Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer

mjo_indices

plotly.py

The interactive graphing library for Python (includes Plotly Express) :sparkles:

postwrf

A specialized visualization tool for the Weather Research and Forecasting (WRF) model outputs

potential-vorticity

python code for dynamic tropopause calculations

pycles

A python based infrastructure for cloud large eddy simulation.

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.

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.

raincloudplots

Code and tutorials to visualise your data that is both beautiful *and* statistically valid

s100-schemas

S100-Schemas