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Sorted by (Issue date descending, Date of update descending, Date of creation descending, Number of collection descending) Add the result to your favourites Refine your searchInterpreting and Communicating EPS Guidance: Iberian Heat Wave
This 45-minute lesson briefly introduces learners to the benefits of using probabilistic forecast information to assess the weather and communicate forecast uncertainties. Learners will explore a heat wave event in Spain and practice interpreting EPS forecast products effectively to determine various forecast parameters based on lead-time. Also, learners will decide how to best communicate the potential weather threats and impacts information to local end users.What's New in the National Blend of Models version 3.1
Intended for U.S. National Weather Service forecasters, this short video describes changes to the NWS National Blend of Models when it was updated to v3.1. These changes include: More global, mesoscale, and ensemble components; Increased spatial resolution of some components; New and improved weather elements for aviation, QPF, winter, fire, and marine weather forecasting; Significant wave height for offshore waters and the Great Lakes; Improved bias correction; MOS-like text products; Shortened NBM forecast projections delivered at 19 UTC. For an illustrated transcript, see What’s New in NBM ...SatFC-J: The CrIS and ATMS Sounders
This lesson introduces the capabilities of NOAA’s next-generation infrared and microwave sounders, the Cross-track Infrared Sounder (CrIS) and the Advanced Technology Microwave Sounder (ATMS). Both fly on board the Suomi NPP satellite mission and constitute the foundation for NOAA’s operational space-based sounding capability on the next-generation JPSS polar-orbiting satellites. In addition to their complementary sounding duties, CrIS and ATMS provide capabilities and improvements for a variety of environmental products essential to weather forecasting and environmental monitoring. Some of th ...Mesoscale Model Components of the National Blend of Models Version 3.0
The National Weather Service National Blend of Models (NBM) was updated to version 3.0 on 27 July 2017. Changes include: Eight new components for the contiguous U.S. (CONUS) and Alaska, including four deterministic models, two ensemble systems, and two post-processed statistical components Five new components for Hawaii and Puerto Rico Expanded forecast domains for the CONUS and Alaska A “Time of Day” (ToD), rather than NWP model, initial time concept Hourly NBM forecasts, with short, day 2-4, and extended forecasts Updated NBM guidance available 50-60 minutes after hourly run time New weather ...GOES-R Series Multilingual Training Resources
This listing of multilingual training materials for the GOES-R series includes both foundational lessons and quick guides developed by various partners at the request of the U.S. National Weather Service and NESDIS. The selections included here represent materials translated to Spanish and Portuguese. Training contributors include COMET, RAMMB/CIRA, CIMSS, and SPoRT. Translation contributors/reviewers include the Servicio Meteorológico Nacional (SMN) in Argentina and the University of São Paulo in Brazil.Unified Terrain in the National Blend of Models
This lesson discusses errors associated with the use of inconsistent terrain in the analyses in the Real-Time and the Un-Restricted Mesoscale Analyses (RTMA and URMA, respectively), and in downscaling numerical weather prediction model data to the resolution of the U.S. National Weather Service National Blend of Models (NBM). The sources of these inconsistencies are examined, and the errors that result are discussed. A solution is to use a unified, consistent terrain in the analyses and the NBM. This solution is only partial however, as resolution of small, meteorologically significant feature ...GOES-16 and S-NPP/JPSS Case Exercise: Hurricane Harvey Surface Flooding
Satellite data are important tools for analyses and short-term forecasts of surface floodwater. This lesson will highlight the August 2017 flooding associated with Hurricane Harvey in southeastern Texas, one of the most costly weather disasters in U.S. history. Through the use of interactive exercises the learner will become familiar with use and interpretation of satellite imagery in regions with surface flooding. The lesson will use data from both the S-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) and the GOES-16 Advanced Baseline Imager (ABI). The satellite-derived flood map and th ...National Water Model, Part 1: Science and Products
This lesson provides an introduction to the benefits, important input (forcing data), and key products of the National Water Model. Both official and evolving products are presented. The lesson uses the flooding associated with Hurricane Harvey in August 2017 to demonstrate key products.SatFC-J: The AMSR2 Microwave Imager
This short lesson describes the Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the next-generation polar-orbiting satellite platforms. AMSR2’s primary mission is to improve scientists’ understanding of climate by providing estimates of precipitation, water vapor, cloud water, wind velocity, sea surface temperature, sea ice concentration, snow depth, and soil moisture. AMSR2 also advances weather forecasting through real-time imagery, value-added products, and input to numerical weather prediction. This lesson is part of the Satellite Foundational Course for JPSS (SatFC-J).SatFC-J: The VIIRS Imager
This lesson introduces the VIIRS imager on board the Suomi NPP and JPSS satellites. The lesson briefly describes the capabilities, improvements, and benefits that VIIRS brings to operational meteorology. Numerous images are shown that demonstrate a variety of applications available in the AWIPS weather display system. This lesson is part of the Satellite Foundational Course for JPSS (SatFC-J).SatFC-J: Orbits and Data Availability
This lesson presents a brief overview of NOAA's operational low Earth orbiting satellites, focusing on how their orbits define observational coverage and how ground receiving capabilities impact data latency from the observation time to product availability. This lesson is part of the Satellite Foundational Course for JPSS (SatFC-J).Rapid Scan Applications and Benefits
This lesson introduces the capabilities and benefits of rapid scan imaging from geostationary meteorological satellites with a special focus on the current Meteosat Second Generation satellites. The lesson begins with an overview of current rapid scan imaging strategies and the products made from those observations. It then addresses nowcasting applications that benefit from these products with a focus on convection and its evolution. Other application areas that benefit from rapid scan observation are mentioned including the monitoring of fog and low stratus, wildfires, tropical cyclones, and ...Interpreting and Communicating EPS Guidance: British Columbia Winter Storm
This 45-minute lesson provides an opportunity to use ensemble prediction system products to evaluate uncertainty in the forecast and then communicate that information effectively to a public audience. The lesson places learners in the role of a Meteorological Service of Canada forecaster who must assess forecast uncertainty and then issue early warning notifications to decision-makers regarding the winter storm. In a subsequent work shift during the event, the learner must effectively deliver forecast information via social media and respond to questions from the general public. The lesson is ...Operational Environmental Monitoring Applications using the Community Satellite Processing Package (CSPP)
This resource demonstrates the variety of satellite imagery and products accessible through the Community Satellite Processing Package (CSPP). Two videos, the first focused on imagery applications and the second on microwave applications, provide an overview of the types of weather and environmental information available through CSPP. Using CSPP, forecasters and others needing timely access to data can download and display imagery and products from Joint Polar Satellite System (JPSS) instruments. The resource provides some background information for obtaining and using the CSPP software, which ...SatFC-J: The VIIRS Day/Night Band
This lesson introduces the innovative Day/Night Band (DNB). Producing both daytime and nighttime visible images, the unique aspect of the DNB is its nocturnal low-light imaging capability. It views reflected moonlight from clouds and Earth's surface, surface light emissions from various natural sources (such as fires) and anthropogenic sources (such as city lights and gas flares), and even from certain atmospheric light emissions such as the aurora, airglow, and lightning flashes. The lesson describes the capabilities and benefits of the DNB, in particular using the Near-Constant Contrast (NCC ...GOES-16 GLM Case Exercise: Buenos Aires Tornado and Hail Event
The Geostationary Lightning Mapper (GLM) flies aboard the GOES-R series satellites and provides lightning detection data at a quality and resolution not previously available from space. The GLM's continuous lightning monitoring capability is a valuable asset to detecting and monitoring developing thunderstorms 24 hours a day. This 30 minute lesson introduces learners to the benefits of using Geostationary Lightning Mapper (GLM) observations in assessing convection. Learners will explore a severe weather event near Buenos Aires, Argentina, and practice using GLM observations to determine initia ...Гидродинамический прогноза погоды на территории Гвинеи
Agriculture is the largest employer in the world and is probably the most dependent on the climate of all human activities. In recent years there have been events that have put in evidence the vulnerability of global food security to major meteorological phenomena, both in global agricultural markets and the world economy. The food price crisis and the subsequent economic crisis reduced the purchasing power of large segments of the population in many developing countries, which seriously reduced their access to food and thus undermined their food security. During the years 2009 and 2010 in Ven ...
Guidance on Verification of Operational Seasonal Climate Forecasts
The purpose of this publication is to describe and recommend procedures for the verification of operational probabilistic seasonal forecasts, including those from the Regional Climate Outlook Forums (RCOFs), National Meteorological and Hydrological Services and other forecasting centres. The recommendations are meant to complement the WMO Commission for Basic Systems Standardized Verification System for Long-range Forecasts (SVSLRF). SVSLRF defines standards for verifying model outputs from Global Producing Centres (GPCs), and so includes procedures for measuring the quality of ensemble predic ...
ETR, 22. Seasonal Climate Forecast - COURSE PACKAGE T.O.P. : Theory and Operational Principles, Project Report
This is the report on the project to create the Seasonal Climate Forecast - Course Package T.O.P. The goal of this online course package is to allow the transfer of seasonal climate forecast knowledge to improve and increase the operational capabilities of the targeted users. The package provides both a theoretical and a practical set of knowledge on seasonal forecast and predictability models, climate and data analysis, forecast verification, and specific application of seasonal forecast for agriculture and water management.
SP, 12. Guidelines on Satellite Skills and Knowledge for Operational Meteorologists
This document describes the underpinning skills that support the WMO competencies that relate to the use of satellite data by operational meteorologists.Taller Presencial GOES-16 = GOES-16 Workshop
Servicio Meteorológico Nacional (SMN) de Argentina ; National Oceanic and Atmospheric Administration (NOAA) - Servicio Meteorológico Nacional (SMN) de ArgentinaAquí encontrará los materiales del taller de GOES-16. El objetivo del taller es reforzar los conceptos adquiridos en el curso virtual desarrollado entre agosto y octubre de 2017 en el marco del "Programa de Entrenamiento para la Nueva Generación de Satélites Geoestacionarios" llevado adelante por el Servicio Meteorológico Nacional, y aplicarlo al análisis de casos de estudio de interés en la región. Mayor información sobre este taller presencial en el documento informativo del taller.Basic Satellite Imagery Interpretation
This lesson teaches the basics of satellite image interpretation to forecasters, meteorology students, and other interested learners, with an emphasis on the African region. It begins by briefly describing visible, infrared, and water vapour channels, as well as RGBs and derived products. From there, it teaches learners how to interpret clouds and surface features using various channels and products. This sets the stage for the final section, where learners practice identifying features using assorted imagery and products. The lesson uses Meteosat Second Generation imagery over Africa and, to ...Training Tutorials and Datasets for GOES-R/JPSS New Generation Satellite Aerosol Products
These free training resources include video tutorials as well as case studies with accompanying data and imagery. The resources introduce the new generation of aerosol products available from the JPSS series of polar-orbiting satellites (SNPP/VIIRS) and the GOES-R series of geostationary satellites (GOES-16/ABI). Users will learn about the types of satellite aerosol products available, including aerosol optical depth/thickness (AOD/AOT) and aerosol detection (smoke/dust masks), as well as complimentary satellite products, such as fire radiative power (FRP) hotspots and visible color imagery (R ...Statistical Methods in the NWS National Blend of Global Models Part 2
This lesson introduces users to the statistics used in generating the various weather element forecasts included in version 2 and 3 of the U.S. National Weather Service (NWS) National Blend of Global Models (NBM). This Level 3 lesson is intended for forecasters and users of NWS forecast products; some prior knowledge of numerical weather prediction and statistics is useful. Learners will be introduced to the analysis of record used to calibrate the NBM’s bias and error estimates. Learners will also explore the bias correction, weighting, and post-processing procedures used to produce the forec ...COSMIC: Atmospheric Remote Sensing for Weather, Climate, and the Ionosphere
This video provides an introduction to the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC), including information about the COSMIC-2 mission. COSMIC uses a technique called radio occultation to profile temperature, water vapor, and ionospheric information within Earth's atmosphere. The high-quality, high-resolution data contribute to improvements in numerical weather prediction, hurricane forecasts, climate studies, and ionospheric analyses. This full video resource covering COSMIC data and science is hosted on COMET's YouTube Channel. A short video highlightin ...
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