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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 ...
Published by: WMO ; 2018
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 prediction systems. In contrast, the procedures described in this publication are exclusively for verification of probabilistic forecasts, which may be model outputs, expert subjective assessments, or a combination of both. A second difference from SVSLRF is that procedures described in this publication are concerned not only with verification of a history of forecasts, but also of forecasts for one specific target period – for last year’s RCOF forecast, for example.
Collection(s) and Series: WMO- No. 1220
Language(s): English
Format: Digital (Free)ISBN (or other code): 978-92-63-11220-0
Tags: Climate ; Seasonal forecast ; Guide ; Technical Publications
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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.
Seasonal Climate Forecast - COURSE PACKAGE T.O.P.: Theory and Operational Principles, Project Report
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World Meteorological Organization (WMO) ; Institute of Biometeorology (IBIMET) - CNR
Published by: WMO ; 2018This 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.
Collection(s) and Series: Technical publications ETR- No. 22
Language(s): English
Format: Digital (Free)Tags: Education and Training Programme (ETRP) ; Practical application ; Training ; Seasonal forecast ; Agroclimatology ; Education and Training Providers
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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.
Published by: WMO ; 2018 (2018 edition)
This document describes the underpinning skills that support the WMO competencies that relate to the use of satellite data by operational meteorologists.
Collection(s) and Series: SP- No. 12
Language(s): English; Other Languages: French, Spanish, Russian, Arabic, Chinese
Format: Digital (Free)
Archives access: 2017-[...]Tags: Weather forecasting ; Guidelines ; Satellite ; Capacity development ; Satellite Skills and Knowledge for Operational Meteorologists ; WMO Space Programme (SAT) ; Technical Publications
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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.
Other titles:
- GOES-16 Workshop
Available online: https://tallergoes16.smn.gob.ar/
Servicio Meteorológico Nacional (SMN) de Argentina (Buenos Aires, Argentina) ; National Oceanic and Atmospheric Administration (United States)
Published by: Servicio Meteorológico Nacional (SMN) de Argentina ; 2018Aquí 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.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): Spanish
Format: DigitalTags: Weather forecasting ; Lecture ; Presentation ; Satellite Skills and Knowledge for Operational Meteorologists ; Region IV - North America, Central America and the Caribbean ; Region III - South America ; Argentina ; GOES-16
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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 ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1316
Published by: The University Corporation for Atmospheric Research ; 2017
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 a lesser extent, Europe. Given the similarities in channels between satellites, the lesson should also appeal to a broader, international audience. This lesson is being designed to support EUMETSAT training courses, such as the online Satellite Application Courses run by EUMETSAT and the African training centers.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Satellite ; Weather forecasting ; Lesson/ Tutorial ; Water vapour ; Satellite Skills and Knowledge for Operational Meteorologists
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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 ...
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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 ...
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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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GOES-R Series Faculty Virtual Course: Geostationary Lightning Mapper
In this webinar recording Scott Rudlosky and Geoffrey Stano discuss and demonstrate the capabilities of the GOES-R/16 Geostationary Lightning Mapper (GLM) in both operational and research applications. You will learn how the GLM, the first lightning mapper in geostationary orbit, differs from land-based lightning detection. The presenters summarize important processes known as lightning events, group, flashes, and lightning jumps and show products that illustrate the location and areal extent of lightning, and its evolution in cloud systems. With this information you should be able to integrat ...
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GOES-R Series Faculty Virtual Course: Severe Storms
In this webinar recording, Michael Bowlan explains how GOES-R/16 can help improve forecasts of severe storms and provide forecasters with real-time information about lightning, flooding potential and other hazards. The high-resolution Advanced Baseline Imager (ABI) data can indicate whether thunderstorm updrafts are gathering strength or weakening, helping aid forecasters in making warning decisions. The ABI can also aid in identifying storms and convective complexes that have stalled or are “training”, which can signal a flood risk and help forecasters issue flood or flash flood warnings soon ...
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GOES-R Series Faculty Virtual Course: Tropical Cyclones
In this webinar recording, Andrea Schumacher demonstrates the GOES-R series' new capabilities for real-time tropical cyclone analysis and monitoring, which will contribute significantly to improved hurricane track and intensity forecasts. The GOES-16 imager will provide dramatic new views of tropical cyclone phenomena, offering vastly improved time and spatial resolution as well as color composite images to enhance cloud bands and other features. This webinar will also explore the role of the Geostationary Lightning Mapper (GLM) in helping identify areas of strong thunderstorms associated with ...
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Web-Based Ensemble Tools: Ensemble Situational Awareness Table
The National Weather Service (NWS) Western Region (WR) has developed a Ensemble Situational Awareness Table (ESAT), which uses probabilistic NWP to bring attention to the potential for extreme events, especially in middle-range forecasts. The lesson, which is the first of two on the ESAT, describes the ESAT and how its data can be used to support assessment of extreme weather event forecasts. Additionally, statistical methods, including employment of reanalysis and NWP model climatologies (R-Climate and M-Climate, respectively) are described in reference to the products available in the ESAT.
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GOES-R Series Faculty Virtual Course: Multispectral RGB Composites
In this webinar recording Dr. Emily Berndt and Dr. Michael Folmer discuss the capabilities of the GOES-R/16 Red-Green-Blue (RGB) composites. Multispectral or RGB composites are qualitative, false color images designed to enhance specific features in the atmosphere that are important to forecasters, aviators, mariners, and emergency response officials. RGB composites have been enthusiastically integrated into forecast operations because of their ability to highlight the presence and evolution of important forecast phenomena. This presentation details the development of RGB composites and provid ...
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Using Climatology in Forecasting Convection in West and Central Africa
This case-study lesson provides an opportunity to apply the information in the ASMET lesson “Satellite-Derived Climatology Products for Monitoring Convection Over West and Central Africa” to a case that occurred over West and Central Africa in June 2014. It demonstrates how to integrate climatology information with satellite, global instability indices (GII), and NWP data when convection is forecast to occur.
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GOES-R Series Faculty Virtual Course: Advanced Baseline Imager
In this webinar recording, Tim Schmit demonstrates the improved temporal, spatial, spectral and calibration attributes of the Advanced Baseline Imager (ABI) on the GOES-R series. The main uses for each of the sixteen spectral bands will be covered, using examples from the recently launched GOES-16 ABI. Imagery and data loops for various types of atmospheric phenomena will be presented to illustrate the improved spectral capabilities and higher temporal and spatial resolution of the ABI. This is a recorded webinar presented by an instructor at his home institution. Audio variations may exist.
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GOES-R Launch Workshop for Broadcast Meteorologists, November 2016
This lesson consists of presentations by nine professionals from NOAA and NASA recorded at the GOES-R Workshop for Broadcast Meteorologists at Kennedy Space Center. The workshop was offered by StormCenter Communications, Inc. in partnership with the COMET Program in conjunction with the November 2016 GOES-R launch. These presentations introduce broadcast meteorologists to the new capabilities of this next-generation weather satellite and cover topics including new instrumentation and data available via the GOES-R series, and how the imagery will improve forecasting. After completing this lesso ...
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Advances in Space-Based Nighttime Visible Observation, 2nd Edition
This updated one-hour lesson explores the types of atmospheric and surface features that can be observed at night. It describes recent technical improvements in nighttime visible imaging with the VIIRS Day/Night Band on board the Suomi NPP and JPSS satellites, and the lunar phases and other conditions necessary for effective nighttime visible imaging. This lays the foundation for the rest of the lesson, which explores operational uses of nighttime visible observations. These include the detection and monitoring of city lights, tropical cyclones, fog and stratus, polar nights, auroras, fires an ...
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Introduction to EPS Theory
This lesson introduces the concepts needed to understand and use ensemble prediction system (EPS) products. It describes basic statistical quantities and methods used to develop EPS products, such as probability distribution functions (PDFs) and cumulative distribution functions (CDFs). From there, it discusses ways of using EPS products compared to deterministic products. The final section briefly introduces nine common EPS products. The lesson is a prerequisite for the EPS Products Reference Guide.
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Forecasting Aviation Convective Impacts with INSITE
The National Weather Service (NWS) has developed the INSITE tool (INtegrated Support for Impacted air-Traffic Environments) to improve NWS convective impact forecasts by providing functionality that enables forecasters to include more precise impact areas in aviation convective weather forecast products. The tool lets forecasters identify potential constraints to the National Airspace System by combining forecast weather and air-traffic data. Improved convective weather forecast products can reduce delays in air-traffic and increase efficiency in the National Airspace System (NAS). In this 45- ...
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GOES-R Series Faculty Virtual Course: RapidScan Imaging
In this webinar recording, Dr. Dan Lindsey presents GOES-16/GOES-R 30-second and 1-minute rapid scan imagery to demonstrate unprecedented views of convection, wildfire, storm intensification, and other quickly-evolving features. GOES-16 rapid scan also enables cloud and feature tracking in and around tropical cyclones. The webinar includes examples of how rapid scan sectors may be prioritized and selected by the National Weather Service. Instructions about how to obtain and use archived data are also provided. This is a recorded webinar presented by an instructor at his home institution. Audio ...
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Communicating Forecast Uncertainty, European Case
This lesson is a follow-on to COMET’s Communicating Forecast Uncertainty lesson, which introduces research findings on the effective communication of uncertainty information and enables learners to apply them to a North American case. This lesson focuses on a European winter weather case and provides an additional opportunity to evaluate end-user needs and formulate effective responses to their questions based on the research findings. Learners are strongly encouraged to take Communicating Forecast Uncertainty before starting this lesson. The lesson is aimed at experienced forecasters with kno ...
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GOES-16 Case Exercise: 8 May 2017 Colorado Hail Event
GOES-16, the first satellite in the GOES-R series, launched in November 2016 and now provides 16 multispectral bands of satellite data, including CONUS scans every five minutes, with 0.5 kilometer visible imagery resolution and 2.0 km longwave infrared resolution. This lesson harnesses GOES-16’s increased temporal and spatial resolutions to identify convective development and intensity signatures on traditional longwave IR and visible band imagery, and compares the experience to using legacy GOES products. The lesson is geared toward early-career forecasters, those forecasters wanting more exp ...
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GOES-R Series Faculty Virtual Course: Aviation Products
In this webinar recording, Amanda Terborg (with input from Dr. Chad Gravelle), will demonstrate the capabilities of GOES-R/16 in analyzing hazards affecting the aviation industry. The talk focuses specifically on four hazards (but there are others): 1) fog and low stratus, 2) in-flight turbulence, 3) dust, and 4) volcanic ash. Through the use of GOES-R/16 spectral bands, band differences, and RGB composites, satellite data users can detect the development and evolution of aviation threats better than with any previous geostationary satellites. This is a recorded webinar presented by an instruc ...
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Limitations of High-Resolution NWP Models
This scenario-based lesson examines how the limitations of high-resolution NWP forecasts affect their analyses and forecasts of winter and severe weather, and how best to use the output in light of the limitations. The lesson is structured around a case that occurred in Texas in December 2015 when winter weather and severe weather hit Amarillo and Dallas-Ft. Worth, respectively. As users go through the case, they learn how spin-up time, errors in initial conditions, and deficiencies in the modeling of mesoscale phenomena can impact high-resolution forecasts in the NAM nest and HRRR models.
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EPS Products Reference Guide
The EPS Products Reference Guide provides information about nine commonly used ensemble prediction system (EPS) products. Each has a description, tips for interpreting and using it effectively, a list of its strengths and weaknesses, and practice exercises. The Guide is meant to be used as reference material and does not have a quiz.
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