Notebooks Python to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospheric and land-surface parameters)

Fast and efficient access to MODIS, VIIRS and GPM Earth Observation data with R

API Client for CHIRPS

a snow data network (SNOTEL) R package

NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc). The package assumes that users have already set up a registration account(s) with Earthdata login as well as authorizing NASA GESDISC data access. Please refer to https://disc.gsfc.nasa.gov/data-access for further details. The package relies on 'curl' (https://curl.haxx.se/) commands and library to access and download data from NASA remote sensing servers. Since Mac users have curl as part of macOS, Windows users should make sure that their local machines have 'curl' installed properly. Creating the ".netrc" file at the user machine 'Home' directory and storing the user NASA GESDISC logging information in it is needed to execute the package commands. Instructions on creating the ".netrc" and ".urs_cookies" files can be accessed at https://wiki.earthdata.nasa.gov/display/EL/How+To+Access+Data+With+cURL+And+Wget.

Groundwater pumping estimation in Arizona using remote sensing datasets and machine learning

Precipitation Processing Tools (PPTs) it's an open source code developed by Vinícius Vieira Mesquita to download and process satellite precipitation data from NASA Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM)

pysteps example data

Notebooks python pour l'exploitation des open-data Météo-France en ligne sur meteo.data.gouv.fr

🌧 Simple weather data visualization and downloads

Historical & future climatologies (1970-2100) - Time series extraction and maps plotting

A utility to search, download global level PERSIANN precipitation data from CHRS Data Portal

This repo illustrates how public users can use cdsapi Python API to download climate model data and do some first analysis

Python code for reading SM2RAIN dataset (global daily precipitations between 2007 and 2019) . Extraction of time serie for N points

Precipitation dataset comparison in GEE. Supplementary material (code and data) for the article submitted for IGARSS 2024, entitled Evaluation of precipitation datasets available in Google Earth Engine on a daily basis for Czechia.

Buishand and Double Mass tests for hydrologic Time serie homogeneity

Ingest code to convert nClimGrid ASCII datsets into NetCDF

This repository contains Matlab codes I made to process different satellite precipitation products.

Spatial Interpolation and Precipitation Data Analysis of Sydney, Australia using R, (period examined 1990-2010).

Exploration and extraction of daily GHCN climatological data (Global Historical Climatologic Network)

気象庁が公開する降水量データをDashで可視化するアプリケーション

Notebook to create a isohyet map (isovalues) from precipitation data at several raingauges

Use Python and SQLAlchemy to do basic climate analysis and data exploration of your climate database. All of the following analysis should be completed using SQLAlchemy ORM queries, Pandas, and Matplotlib. Upon completing your initial analysis, design a Flask API based on the queries that you have just developed.

PPTSA (Precipitation Probabilistic Time Series Analysis) examines the statistical structure and predictability of precipitation, emphasizing the impulse-like nature of rainfall and its implications for forecasting. The study uses ~140 years of daily precipitation data from Central Park, New York City.

Fitting spatial conditional models for extreme precipitation

Visualizing and analyzing the precipitation data downloaded from NASA GPM data files.

R code for generating the projected 15-min precipitation.

Batch collection of environmental data modeling workflow for gridded land surface models (LSMs) through DEM acquisition and HMS Restful API tailored for VELMA initialization

This repository contains my projects, research, and analyses related to Meteorology during my university studies and personal learning journey.

Space-Time Statistical Quality Control of Extreme Precipitation Observation