All Training

Training: Hydrology

Click on the thumbnail images or links below to launch/redirect to each training course.

Cooperative Program for Operational Meteorology, Education, and Training (Comet)

COMET logo and link The Cooperative Program for Operational Meteorology, Education, and Training supports, enhances, and stimulates the communication and application of scientific knowledge of the atmospheric and related sciences for the operational and educational communities. COMET’s web-based self-paced training materials serve earth science education and training needs by providing interactive experiences for learners at a distance. Experts at both the Cooperative Institute for Meteorological Satellite Studies (CIMSS) and the Cooperative Institute for Research in the Atmosphere (CIRA) contributed to many of these lessons.

Atmospheric Rivers

Satellite Feature Identification: Atmospheric Rivers

Satellite Feature Identification: Atmospheric Rivers: This module presents the global moisture transport phenomenon known as the atmospheric river (AR). ARs are responsible for transporting the majority of maritime moisture from low to middle latitudes.

NASA’s Short-term Prediction Research and Transition Center (SPoRT)

VISIT logoNASA’s Short-term Prediction Research and Transition Center (SPoRT) provides training about specific products, discussing the strengths and weaknesses, with the goal of successfully transitioning products to operations. This training is built from surveys and direct communication with our partners. With this paradigm, the forecasters are an integral component of the transition process and not a passive recipient of data.

CIRA Blended TPW and Anomaly Products

CIRA Blended TPW and Anomaly Products

CIRA Blended TPW and Anomaly Products: This 30-minute module presents the CIRA blended total precipitable water (TPW) and associated TPW anomaly products.

Link to CIRA Blended TPW and Anomaly Products

NESDIS GOES-R QPE

NESDIS GOES-R QPE: This short reference guide describes the NESDIS GOES-R quantitative precipitation estimation product suite in the context of operations. GOES-R QPE uses both infrared and microwave data to retrieve rainfall rates in both the GOES East and GOES West domains, and the mechanics of this algorithm are briefly described. The rainrate and accumulation products are shown in a number of operationally-based examples, demonstrating the uses of GOES-R QPE in different regions and environments.

Virtual Institute for Satellite Integration Training (VISIT)

COMET logoVirtual Institute for Satellite Integration Training (VISIT) is a joint effort involving NOAA Cooperative Institutes, the National Environmental Satellite Data and Information Service (NESDIS), and the National Weather Service (NWS). The primary mission of VISIT is to accelerate the transfer of research results based on atmospheric remote sensing data into NWS operations using distance education techniques. Training sessions include topics on satellite meteorology, severe weather, climate, numerical weather prediction, and more. Many of these modules were developed in collaboration with the Cooperative Institute for Meteorological Satellite Studies (CIMSS) and the Cooperative Institute for Research in the Atmosphere (CIRA). VISIT also provides satellite chats to demonstrate satellite products that can be applied to operational forecasting and identify new training topics based on specific participant needs. See the VISIT Training Calendar for upcoming teletraining sessions.

VISIT Training Sessions:

VISIT offers a wide selection of satellite remote sensing training materials. See the VISIT Training Sessions webpage for a complete listing.

FDTD Satellite Application Webinars:

The National Weather Service Forecast Decision Training Division (FDTD) Satellite Application Webinars are peer-to-peer learning; staff from Weather Forecast Offices (WFOs), National Centers, Center Weather Service Units (CWSUs), and River Forecast Centers (RFCs) lead the presentations. The webinars to share how to apply GOES imagery with other datasets for a specific operational application.