wasfiq12's Stars
imartinezl/drought-map
Drought SPEI Index Spain Map 🔥🌡️🌧️
ESIPFed/Awesome-Earth-Artificial-Intelligence
A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
lbergi/Drought-Identification
Method of Drought Identification with a Percentile from NetCDFfiles with R
tam-ng/Drought_Forecasting_TimeSeries
Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements
tpilz/paper_drought_prediction_brazil
Analysis scripts of the paper "Seasonal drought prediction for semiarid northeast Brazil: what is the added value of a process-based hydrological model?", published in HESS
bcgov/forestDroughtTool
R package to analyze stand-level forest drought hazard.
WillemMaetens/standaRdized
R package for the calculation of Standardized Index values (SPI, SPEI, SSI,...) on a daily basis.
MuhammadAbuBakar11290/Weather-data-Preprocessing-R
An R script for processing and analyzing weather data, including geographical filtering, datetime handling, and wind speed calculation. This project demonstrates data manipulation, filtering based on geographic criteria, and advanced time-series processing for environmental datasets
Tuanpham1994/Neural-Network-Autoregressive-and-Fourier---Autoregressive-Moving-Average-Weather-forecast
Weather time series data forecasting using Neural network autoregressive and Fourier-Autoregressive Moving Average
EtinosaE/time-series-logistic-regression-analysis
A comprehensive analysis of weather data using Time Series methods and Cardiac health data using Logistic Regression, performed in R. This project includes data exploration, model development, and evaluation for predictive analysis in both domains.
mikejohnson51/AOI
An R 📦 to find, process, and describe "areas of interest"
amrrs/weather_forecasting_app
An attempt to make a simple weather forecasting app
metno/esd
An R-package designed for climate and weather data analysis, empirical-statistical downscaling, and visualisation.
ErikKusch/KrigR
An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).
mahmoud/awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
imronade/Project-R
This is a collection of scripts that I use to solve the problems that I find
andizadry/Rainfall-BMKG-KNN-Classifier
neha15b/Time-Series
Weather Forecasting for WW2 data (ARIMA, Naïve Bayes, SMA, Holt Winters, STL decomposition using R)
nishitprajapati/ECMWF_MOOC
Repository contains data, models, and learning resources used while attending MOOC Machine Learning in Weather & Climate by ECMWF
hanggoro-litbang/InaNWP
Script of Inanwp
Sohum09/Code-for-storms
I and a few friends keep mostly utility based scripts here for all things TC related.
ialimustufa/titanic
ahmedbesbes/How-to-score-0.8134-in-Titanic-Kaggle-Challenge
Solution of the Titanic Kaggle competition
agconti/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
minalbhivgade/WeatherInsights-Python-Project-2
Explore weather patterns, analyze meteorological data, and gain insights with this weather analysis project. Includes visualization tools and statistical analysis for comprehensive weather exploration.
huangfeng2017/WeatherData-Statistics
The following dataset is the rain and temperature data from January to December for the period of 1961-2000, which is from four county meteorological stations representing Mengla, Menglun, Menghai, Jinghong in Yunnan province. This is a weather data statistics which was done two years ago.
royalosyin/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.
Wachuka123/Advanced-Time-Series-Analysis-for-Weather-Forecasting-in-Hyderabad-s-Semi-Arid-Region
This project develops a predictive model for agricultural weather in Hyderabad. It uses SARIMA to forecast temperature and rainfall. The model analyzes historical data and seasonal patterns. It aims to improve agricultural planning and water management
ICLASS-SFA/amazon_hvmixing
Amazon horizontal vorticity mixing parameterization analysis
DiamondFlight/Sounding-Viewer-with-better-things
3d hodo, vorticity, mixing ratio