22.494 resources found

The Weather Research and Forecasting Model Hydrological modeling system (WRF-Hydro) was developed as a community-based, open source, model coupling framework designed to link...

A new historical database of tropical cyclone (TC) parameters has been constructed from satellite and aircraft observations. Called the Tropical Cyclone Observations-Based...

A Vortex Data Message (VDM) is a succinct summary of crucial vortex parameters sampled by aircraft as it flies through a tropical cyclone (TC). The Enhanced Vortex Data Message...

An Energy Balance Model for Determining Water Height and Temperature in Container Habitats for mosquito species Aedes aegypti and Aedes albopictus.

QSCAT-R contains data for the radial structure of near-surface wind and rain rate for tropical cyclones globally during the period 1999-2009. The dataset is derived from the...

CHAMP instrument data and derived products (levels 1-2).

GPSMET instrument data and derived products (levels 1-2).

The THREDDS Data Server (TDS) is a web server that provides metadata and data access for scientific datasets, using a variety of remote data access protocols. It is built on the...

Unidata's Python Gallery is an example of using Python for various meteorological tasks, across many different libraries.

TDX instrument data and derived products (levels 1-2).

TSX instrument data and derived products (levels 1-2).

Spire instrument data and derived products (levels 1-2).

This dataset provides 3 km maps of inundation fraction for latitudes +/- 38 degrees for the time period Mar 20, 2017 - Jun 30, 2022. Retrievals are derived from the Cyclone...

GRACE instrument data and derived products (levels 1-2).

The Unidata Local Data Manager (LDM) includes network client and server programs designed for event-driven data distribution. It is a fundamental component of the Unidata...

The Unidata Online Python Training is an interactive, geoscience focused approach to learning Python. There are many excellent books and web sites to learn Python, and this...

COSMIC-1 instrument data and derived products (levels 0-3) for all six spacecraft.

CNOFS instrument data and derived products (levels 1-2).

METOP-B instrument data and derived products (levels 1-2).

Materials, including notes and Jupyter notebooks, for Unidata's Python training workshop. This encompasses using the Siphon and MetPy libraries to solve relevant problems as...