Tools tagged with "Rainfall"

The Finnish Meteorological Institute publishes a significant portion of its meteorological and oceanographic datasets as Open Data. This documentation serves as a guide for developers to build applications using weather and oceanographic information through the institute's open data web services.

The Rain over Africa (RoA) dataset offers spaceborn precipitation estimates for Africa, derived from geostationary imagery using convolutional and quantile regression neural networks. It includes uncertainty estimates and is updated at most yearly, licensed under CC BY 4.0. This dataset is part of the Registry of Open Data on AWS, making it discoverable on AWS Data Exchange.

This service provides current, historical, and projected climate data for North America, South America, Europe, and Africa. Users can download interpolated data grids at 1km and 5km resolution or utilize software packages to query specific point locations. The platform also offers numerous derived variables like drought indices and growing degree days.

WorldClim provides comprehensive global climate data, including monthly temperature, precipitation, and bioclimatic variables. This resource serves as a vital repository for researchers and practitioners in various fields. The data is available for download at different spatial resolutions.

The OS Data Hub provides a comprehensive platform for geospatial solutions, offering APIs, a download service, a data package creator, and various user applications. It offers access to a wealth of free and premium Ordnance Survey products, enhancing geospatial projects with detailed mapping and environmental data.

This open-source project provides an interactive tool to trace the hydrological flow path of a single rain droplet across landscapes. By leveraging comprehensive USGS and MERIT Basin data, it simulates water movement through river networks and watersheds. It serves as an educational and analytical platform for understanding environmental processes and geographic connectivity.

This GitHub repository hosts a PyTorch-based implementation of MetNet and MetNet-2, neural network models developed by Google Research. The project focuses on providing open-source access to these powerful models for weather prediction. It enables researchers and developers to leverage deep learning techniques for meteorological applications.

This platform offers access to statistically downscaled future climate projections, along with data related to bias correction, spatial downscaling, and weather station information. It serves as a resource for researchers and practitioners needing detailed climate data for various analyses and applications.

This open-source project provides graph-based weather forecasting models. It is a PyTorch implementation of Ryan Keisler's 2022 paper, "Forecasting Global Weather with Graph Neural Networks," offering a research-backed approach to meteorological prediction.

Met Office DataPoint is a service offering programmatic access to various weather data for developers. It provides a range of meteorological observations and forecasts through an API. Users are advised that the service has a planned retirement date of December 1, 2025.

This dataset contains ALOS-2 PALSAR-2 ScanSAR Level 2.1 data, offering orthorectified backscatter observations with a 350 km observation width at 25m resolution. It was generated by JAXA in response to torrential rainfall, flooding, and landslides in Rwanda, activated through the International Disaster Charter. The data provides valuable insights for disaster response and natural resource monitoring in affected regions.

The Iowa Environmental Mesonet (IEM) offers a comprehensive GIS Mainpage from Iowa State University. It provides tools, documentation, and web applications for integrating and manipulating spatially referenced environmental datasets. This platform serves as a central hub for GIS-related information and resources pertaining to IEM data.

This resource provides a curated list of GIS data sources, categorized geographically, primarily for Hawaiʻi and the broader Pacific Islands region. It includes links to state and county GIS portals, specialized datasets like bathymetry and climate data, and commercial imagery providers. The guide serves as a valuable starting point for researchers seeking geospatial information for these specific areas.

This resource offers access to the d559000 dataset, a four-kilometer long-term regional hydroclimate reanalysis over the conterminous United States (CONUS). It is hosted on the NSF NCAR Geoscience Data Exchange (GDEX), a platform dedicated to facilitating access to geoscience data. The platform provides various resources for data discovery, access, and analysis.

This website offers comprehensive information on atmospheric pollutant deposition across the UK. It details the effects of poor air quality on human health and ecosystems, covering both wet and dry deposition processes. The site focuses on key components like sulphur, reactive nitrogen, and heavy metals, complementing other UK air quality resources.

gridMET is a high-spatial resolution (~4-km) dataset providing daily surface meteorological data across the contiguous US from 1979-yesterday, with real-time extensions to southern British Columbia. It offers critical inputs for ecological, agricultural, and hydrological models, updated daily. The dataset includes primary climate variables and derived products like reference evapotranspiration and drought indices.

The Climate Change Knowledge Portal serves as a central repository for global climate data, encompassing historical and future climate projections, vulnerabilities, and impacts. It provides a platform to access country, subnational, and watershed-level climate information, facilitating informed decision-making for development.

The Climatic Research Unit (CRU) at the University of East Anglia is a world-renowned center for climate change research. This page likely provides access to its extensive collection of climate datasets, instrumental records, and reconstructions.