This publication provides guidance on homogenization of instrumental land station data. For beginners, the publication describes prerequisites for homogenization (including data rescue, quality control, metadata, parallel measurements etc), explains homogenization practices in detail and provides an overview of homogenization software packages. For advanced users, the history and mathematical theory of homogenization is introduced.Published by: OMM ; 2020 (Edition 2020)
This publication provides guidance on homogenization of instrumental land station data. For beginners, the publication describes prerequisites for homogenization (including data rescue, quality control, metadata, parallel measurements etc), explains homogenization practices in detail and provides an overview of homogenization software packages. For advanced users, the history and mathematical theory of homogenization is introduced.
Collection(s) and Series: OMM- No. 1245
Language(s): French; Other Languages: English
Format: Digital (Free)
ISBN (or other code): 978-92-63-21245-0This publication provides guidance on homogenization of instrumental land station data. For beginners, the publication describes prerequisites for homogenization (including data rescue, quality control, metadata, parallel measurements etc), explains homogenization practices in detail and provides an overview of homogenization software packages. For advanced users, the history and mathematical theory of homogenization is introduced.Published by: WMO ; 2020 (2020 edition)
Collection(s) and Series: WMO- No. 1245
Language(s): English; Other Languages: French
Format: Digital (Free)
ISBN (or other code): 978-92-63-11245-3Published by: WMO ; 2020 (2020 edition)
Collection(s) and Series: WMO- No. 1246
Format: Digital (Free)
ISBN (or other code): 978-92-63-11246-9Наставление предназначается для следующих целей: a) способствовать сотрудничеству в отношении обработки данных и прогнозирования между странами-членами; b) определить обязанности стран-членов по осуществлению Глобальной системы обработки данных и прогнозирования (ГСОДП) Всемирной службы погоды (ВСП); c) обеспечивать единообразие и стандартизацию практики и процедур при выполнении пунктов (a) и (b) выше.Published by: BMO ; 2019 (Издание 2019 г.)
Наставление по Глобальной системе обработки данных и прогнозирования: Дополнение IV к Техническому регламенту ВМО
Наставление предназначается для следующих целей: a) способствовать сотрудничеству в отношении обработки данных и прогнозирования между странами-членами; b) определить обязанности стран-членов по осуществлению Глобальной системы обработки данных и прогнозирования (ГСОДП) Всемирной службы погоды (ВСП); c) обеспечивать единообразие и стандартизацию практики и процедур при выполнении пунктов (a) и (b) выше.
Collection(s) and Series: BMO- No. 485
Language(s): Russian; Other Languages: English, French, Spanish
Format: Digital (Free)
ISBN (or other code): 978-92-63-40485-5
Archives access: 1992-[...]
Tags: Capacity development ; National Meteorological and Hydrological Service (NMHS) ; Weather forecasting ; Information management ; Manual ; Global Data-processing and Forecasting System (GDPFS) Add tagGCRF African-SWIFT is a programme of research and capability building, led by the National Centre for Atmospheric Science (NCAS), and funded by UK Research and Innovation Global Challenges Research Fund. The project aims to deliver a step change in African weather forecasting capability from hourly to seasonal timescales, and build research capability to continue forecasting improvements in Africa for the foreseeable future.
The GCRF African-SWIFT team works with forecast users across sectors from aviation to agriculture, energy, water and emergency response to understand how to ...Published by: University of Leeds ; 2019
GCRF African-SWIFT is a programme of research and capability building, led by the National Centre for Atmospheric Science (NCAS), and funded by UK Research and Innovation Global Challenges Research Fund. The project aims to deliver a step change in African weather forecasting capability from hourly to seasonal timescales, and build research capability to continue forecasting improvements in Africa for the foreseeable future.
The GCRF African-SWIFT team works with forecast users across sectors from aviation to agriculture, energy, water and emergency response to understand how to tailor the provision and delivery of weather forecasts and to ensure improved response to high-impact events (e.g. onset of rains, heat-waves, dry spells, strong winds); rapid emergency response to extreme events, such as urban flooding and prolonged droughts; and increased resilience, through integration of weather prediction into strategies for response to climate change.
Notes: Primary Author: GCRF African SWIFT
Publisher: University of Leeds
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Format: Digital (Free) (Variable)
Tags: Weather forecasting ; Numerical weather prediction ; Climate services ; Text/ Reading ; Competencies for Provision of Climate Services ; NWP Skills and Knowledge for Operational Meteorologists ; PWS - Personnel Engaged in Operational Forecasting ; PWS - Weather Broadcasters and Communicators ; Satellite Skills and Knowledge for Operational Meteorologists ; PWS - Competency Requirements for Persons Engaged in the Development and Delivery of Products and Services to Meet User Requirements ; Basic Instructional Package for Meteorologists Add tagGCRF African-SWIFT is a programme of research and capability building, led by the National Centre for Atmospheric Science (NCAS), and funded by UK Research and Innovation Global Challenges Research Fund. The project aims to deliver a step change in African weather forecasting capability from hourly to seasonal timescales, and build research capability to continue forecasting improvements in Africa for the foreseeable future.
The GCRF African-SWIFT team works with forecast users across sectors from aviation to agriculture, energy, water and emergency response to understand how to ...PermalinkWorld Meteorological Organization (WMO) ; United Nations Educational, Scientific and Cultural Organization (UNESCO); Intergovernmental Oceanographic Commission (IOC); et al. - WMO, 2019PermalinkThis lesson was developed by meteorologist, Dr. Mick Pope, with sponsorship from the Australian Bureau of Meteorology (BoM). The lesson is a somewhat broad-brush review of the overall forecast process, but with specific application of the forecast funnel approach as used by Australia's Bureau of Meteorology (BoM). The forecast process components include decision support and communication, use of numerical weather prediction, and applying the forecast funnel approach. The forecast funnel is described in detail, along with the forecaster time pyramid, and it is applied using a BoM forecast polic ...PermalinkPermalinkThe Community Earth System Model (CESM) is a fully-coupled, community, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states. The CESM Distance Learning Course is based on the CESM Tutorial held annually at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. This course consists of 12 lectures and 4 practical sessions on simulating the climate system and practical sessions on running Community Earth System Model (CESM), modifying components, and analyzing data. The course is targeted at the graduat ...PermalinkIn this lesson, forecasters will practice using guidance from different convection-allowing models (CAMs) over the short term. As they review and analyze the model guidance they will encounter some of the advantages and limitations of using CAMs for winter weather.PermalinkThis 45-minute lesson provides an overview of the satellite-derived products generated by the Satellite Application Facility on Land Surface Analysis (LSA-SAF) that may provide beneficial information to the agriculture community. Learners will practice reading and interpreting the LSA-SAF products to better understand the characteristics of vegetation. The lesson also discusses the application of satellite-derived products in regression analysis to model agricultural production, and uses a wine production case in the Portuguese Douro Valley to show learners how seasonal crop productions may be ...PermalinkThe current GOES-R and JPSS meteorological satellites have improved capabilities for enhanced fire detection that include more effective monitoring of fire starts, evolution, and smoke. This lesson provides forecasters and others with the opportunity to become more familiar with both GOES-R and JPSS satellite products (including the longwave-shortwave IR difference, Fire Temperature RGB, GeoColor, GOES-R Fire Mask, JPSS Active Fire, and others) during the onset of a large grassland fire event, known as the Rhea Fire, that affected western Oklahoma from April 12-18, 2018. Interactions and quest ...PermalinkThe latest-generation Constellation Observing System for Meteorology, Ionosphere, and Climate (FORMOSAT-7/COSMIC-2) provides high-resolution observations of Earth's atmosphere, including the ionosphere. In this video, scientists and mission planners introduce the instrumentation used and describe the collaborations that made the COSMIC-2 mission possible. These experts describe how COSMIC uses a technique called radio occultation—making use of existing navigation satellite signals passing through the atmosphere to provide detailed measurements of temperature, pressure, and water vapor. They ex ...PermalinkWant to know about COSMIC, and how satellite signals can provide information about Earth's atmosphere? This video provides anyone interested in the topic with a brief overview of the Constellation Observing System for Meteorology, Ionosphere, and Climate, called COSMIC. Targeted to students and teachers in Grades 5-9 but accessible to anyone, the video introduces the latest COSMIC mission (COSMIC-2), which uses satellites orbiting near Earth to measure how the atmosphere affects signals from global positioning system (GPS) satellites high above the surface. This technique is called radio occul ...PermalinkThe U.S. National Weather Service (NWS) National Blend of Models (NBM) is scheduled to be upgraded to version 3.2 in November 2019. It includes the first probabilistic blended guidance for temperature, precipitation, snow, and ice. There are more blended forecast products for aviation, marine, water resources, fire weather, winter weather, and tropical weather. Version 3.2 uses more model components to improve guidance, and introduces a new Guam domain. For a transcript, see What’s New in NBM v3.2. (https://www.meted.ucar.edu/nwp/blend_v32_video/NBM_v32_script.pdf)PermalinkNWP is one of the most important forecasting tools in our toolbox. Yet identifying when/where it isn’t capturing reality is difficult. In the short-term forecasting range, it is important as a forecaster to identify when/where NWP output isn’t matching reality. Then you can make appropriate changes to the forecast output. To find those mismatches anywhere in the world, one of the best tools is satellite imagery. In this lesson, we will focus on a few cases using satellite imagery to help identify mismatched features/processes between the satellite imagery and the NWP. Anyone trying to add valu ...PermalinkAnother way to try to find mismatches between observed weather and NWP output is by using total-column variables. There are a few of them to choose from, and they make for a relatively simple comparison method for finding correctable mismatches. In this lesson, we'll address appropriate methods for making these comparisons and build to a point where we will focus on bigger picture atmospheric processes. This is the second in a series of video lessons that introduces three different methods for modifying NWP output to add human value to forecasts.PermalinkYou know what PV is, yet aren't quite sure how to modify it to make a better forecast. In this short lesson, we will discuss how to modify the PV surface to match water vapour imagery and how those adjustments affect the surface sensible weather. This is the fifth in a series of video lessons that introduces three different methods for modifying NWP output to add human value to forecasts. Pre-requisite Knowledge: Satellite Water Vapour Interpretation -- Short CoursePermalinkThis 45-minute lesson briefly introduces learners to the benefits of using probabilistic forecast information to assess weather and communicate forecast uncertainties. Learners will explore a winter weather event in Germany and practice synthesizing deterministic and probabilistic forecast guidance to better understand forecast uncertainties based on lead-time. Also, learners will decide how to best communicate the potential weather threats and impacts to local end users. The lesson is another component of the Forecast Uncertainty: EPS Products, Interpretation, and Communication distance learn ...PermalinkThe Satellite Foundational Course for JPSS (SatFC-J) is a series of short lessons focused on topics related to microwave remote sensing and Joint Polar Satellite System instruments and capabilities. Hosted by the Cooperative Institute for Research in the Atmosphere (CIRA), this resource provides access to the full set of course lessons, which were developed specifically for National Weather Service (NWS) forecasters. The lessons provide foundational training to help forecasters and decision makers maximize the utility of the U.S.’ new-generation polar-orbiting environmental satellites. The cou ...PermalinkIn this lesson, we start by investigating the different types of fronts that are commonly analyzed. Next, we address two different types of cold fronts: classic (stacked), and katabatic. Then, we identify the main characteristics of these frontal types and what sets them apart from each other in conceptual models and in water vapour imagery. This is the first lesson in a two part series that addresses three different types of cold fronts and how to diagnose them.PermalinkThe Geostationary Lightning Mapper (GLM) aboard the GOES-R series satellites provides continuous lightning detection from space, giving forecasters a unique tool to monitor developing thunderstorms. This 45 minute lesson introduces learners to the benefits of using GLM gridded products, primarily Flash Extent Density (FED). Learners will explore several North American convective events and use Flash Extent Density, in combination with other satellite and radar data, to diagnose convective initiation, storm intensification, and areal extent of lightning activity. Helpful hints to keep in mind w ...PermalinkSurface observations are usually the first place we go when trying to find mismatches between observed weather and NWP output. We'll talk in this lesson about appropriate methods for making those comparisons and build to a point where we will focus on bigger picture atmospheric processes. This is the first in a series of video lessons that introduces three different methods for modifying NWP output to add human value to forecasts.PermalinkIf there were a way to make direct comparisons between satellite imagery and NWP output, that would appear to be the best possible way to find mismatches between the observed weather and NWP output. In this lesson, we'll address possible methods for making direct comparisons, starting with pseudo or synthetic satellite imagery and building to a point where we focus on a relatively unused NWP output. This is the third in a series of video lessons that introduces three different methods for modifying NWP output to add human value to forecasts. Pre-requisite Knowledge: Satellite Water Vapour Inte ...PermalinkThis 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.PermalinkIntended 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 ...PermalinkThis 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 ...PermalinkThe 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 ...PermalinkThis 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.PermalinkThis 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 ...PermalinkSatellite 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 ...PermalinkThis 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.PermalinkThis 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).PermalinkThis 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).PermalinkThis 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).PermalinkThis 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 ...PermalinkThis 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 ...PermalinkThis 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 ...PermalinkThis 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 ...PermalinkThe 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 ...PermalinkAgriculture 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 ...PermalinkThe 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 ...PermalinkThis 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.PermalinkThis document describes the underpinning skills that support the WMO competencies that relate to the use of satellite data by operational meteorologists.PermalinkServicio 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.PermalinkThis 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 ...PermalinkThese 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 ...PermalinkThis 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 ...PermalinkThis 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 ...PermalinkIn 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 ...PermalinkIn 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 ...PermalinkIn 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 ...PermalinkThe 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.PermalinkIn 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 ...PermalinkThis 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.PermalinkIn 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.PermalinkThis 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 ...PermalinkThis 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 ...PermalinkThis 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.PermalinkThe 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- ...PermalinkIn 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 ...PermalinkThis 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 ...PermalinkGOES-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 ...PermalinkIn 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 ...PermalinkThis 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.PermalinkThe 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.PermalinkThe purpose of the WMO nowcasting guidelines presented here is to help National Meteorological and Hydrological Services (NMHSs) by providing them with information and knowledge on how to implement a nowcasting system with the resources available to them and an understanding of the current state of science and technology.PermalinkWorld Meteorological Organization (WMO) ; International Telecommunication Union (ITU) - WMO, 2017 (WMO-No. 1197)The Handbook provides comprehensive technical and operational information on current observation applications and systems and on the use of radio frequencies by meteorological systems, including meteorological satellites, radiosondes, weather radars, wind profiler radars and spaceborne remote sensing instruments. It is intended for the meteorological (i.e. weather, water and climate) and radiocommunication communities, including governmental institutions, industry as well as the general public.PermalinkHigh-impact weather has always posed challenges for crisis management and risk prevention. Nowcasting provides very short range weather forecasts (0–6 hours) and warnings in a timely manner and in high spatial detail. It can help end users such as civil protection authorities, hydrologists and road safety services in their time-critical applications to respond, prepare and take actions for high-impact weather.1234PermalinkAlors que les incidences du temps et du climat ne cessent de s’aggraver, il importe de chercher des stratégies qui permettront de renforcer les outils scientifi ques et technologiques qui nous ont permis, au cours des quatre dernières décennies, d’améliorer sensiblement nos aptitudes en matière de prévisions et de services météorologiques. Il n’y a pas si longtemps – à l’époque où la génération du baby-boom faisait son entrée sur le marché du travail – l’échéance des prévisions exactes et fi ables du temps ne dépassait pas 24 heures. Aujourd’hui, il est normal de pouvoir compter sur la diff us ...PermalinkLes nouvelles sources d’observations de l’atmosphère, les supercalculateurs plus puissants et les progrès de la science ont contribué ensemble à révolutionner la prévision du temps au cours de la dernière partie du XXe siècle. À l’échelle mondiale, nous sommes désormais capables de faire cinq jours à l’avance des prévisions aussi précises que celles qui étaient produites trois jours à l’avance il y a 20 ans. Les sociétés peuvent donc aujourd’hui recevoir bien plus tôt qu’avant des alertes aux aléas météorologiques qui leurs permettent de se préparer et de limiter ainsi les pertes humaines et m ...PermalinkThis report describes and documents the benefits that the Air Transport Industry (ATI) gains from increased forecast accuracy achieved through the daily collection of atmospheric data gathered by approximately 4,000 inflight commercial aircraft. The report also outlines the Aircraft Meteorological DAta Relay (AMDAR) observing system, the forecast process and describes the importance that AMDAR data plays in numerical weather prediction (NWP).
Measuring the benefits to the ATI requires first to describe and to quantify the improved weather forecast accuracies due solely to the assimilat ...PermalinkThis lesson introduces two numerical weather prediction (NWP) lightning hazard products that forecasters can use during a convective meteorological watch and to assess lightning risk at Day 2 and beyond. The first product is the Flash Rate Density, a derived, deterministic lightning product implemented in some NCEP high-resolution NWP models. The second product, the SPC Calibrated Thunderstorm Probability, combines forecasts of measurable precipitation and favorable lightning environments determined from the Cloud Physics Thunder Parameter. Information about these products is presented in the ...PermalinkThis lesson is an abbreviated review of the scientific basis for using visible and infrared satellite imagery. The concepts and capabilities presented are common to most geostationary (GEO) and low-Earth orbiting (LEO) meteorological satellites. Basic remote sensing and radiative theory are reviewed using conceptual models to help organize scientific concepts. Some imagery is also included to illustrate concepts and relate them to sensor observations. This lesson is a part of the NWS Satellite Foundation GOES-R Course. More in-depth information on radiation and radiative transfer can be found ...PermalinkThis lesson introduces you to three of the four near-infrared imager bands (at 1.37, 1.6, and 2.2 micrometers) on the GOES R-U ABI (Advanced Baseline Imager), focusing on their spectral characteristics and how they affect what each band observes. For information on the 0.86 micrometer near-IR "veggie" band which is not included here, refer to the Visible and Near-IR Bands lesson. This lesson is a part of the NWS Satellite Foundation GOES-R Course.PermalinkAlthough previous research suggests that we are not very good at reasoning with uncertainty, the research described in this talk is far more encouraging. Unlike earlier work that compares peoples' decisions to a rational standard, these experiments compared decisions made by people with uncertainty information to decisions made by people without uncertainty information. The results suggest that including specific numeric uncertainty estimates in weather forecasts leads to better decisions. This talk was part of Meteorological Service of Canada's 2015 Workshop on Communicating Uncertainty to Us ...PermalinkThe Short-Range Ensemble Forecast (SREF) system underwent a major upgrade in Fall 2015. The intended result of the upgrade was to improve the SREF ensemble spread and probabilistic skill, and to reduce a cool, wet bias in surface and near-surface temperatures and moisture. This 20-minute lesson addresses the changes to improve the SREF, including the increase in ensemble size, the increase in initial condition and model physics diversity, and drier land surface parameters to lessen the cool, wet bias. Each is introduced by comparing the old and new SREF forecasts for a potential winter storm f ...PermalinkThis five minute lesson presents a brief overview of how GOES-R observations are expected to support and potentially enhance NWP for various analysis and forecast applications. This lesson is a part of the NWS Satellite Foundation GOES-R Course.PermalinkThis lesson introduces hydrologists, meteorologists, and the education community to two new JPSS (Joint Polar Satellite System) satellite capabilities for monitoring river ice and flooding. It begins by describing the need for information on river ice and flooding, the capabilities of the Suomi NPP and future JPSS VIIRS imagers to provide products for monitoring river conditions, and the new river ice and flood products. This is followed by several cases, notably the May 2013 Galena, AK flood event, that demonstrate the use and value of the products in monitoring river ice and related flooding ...PermalinkForecaster nowcasting at the synoptic scale is rapidly being replaced by the numerical weather prediction models. However, there are plenty of opportunities for you as a forecaster to improve on those forecasts with simple comparisons of water vapour hand analyses and surface hand analyses. The goal of this lesson is to improve your skills in water vapour and surface analyses to evaluate the three-dimensionality of the atmosphere and thus forecast the sensible weather better. This is the capstone for the entire Satellite Interpretation distance learning course.PermalinkThe Satellite Foundational Course for GOES-R (SatFC-G) is a series of nearly 40 lessons designed specifically for National Weather Service (NWS) forecasters and decision makers to prepare for the U.S.’ next-generation geostationary environmental satellites. The course is intended to help learners develop or improve their understanding of the capabilities, value, and anticipated benefits from the GOES-R suite of instruments. These instruments and imagery offer improved monitoring of meteorological, environmental, climatological, and space weather phenomena and related hazards. The course will a ...PermalinkThis lesson uses water vapor satellite imagery from Himawari-8 to describe the typical extratropical transition of a tropical cyclone. The Himawari-8 imager previews comparable capabilities coming online with the GOES-R ABI imager. The lesson also provides a brief overview of subtropical cyclones and their transition to tropical cyclones. This lesson is a part of the NWS Satellite Foundation GOES-R Course.PermalinkThis lesson covers how satellite data inform numerical weather prediction models. From a basic overview of how satellite data is assimilated to how a new instrument's data might get into a model. This lesson is a part of the NWS Satellite Foundation GOES-R Course. More in-depth discussions and a quiz on the impacts of satellite observations on NWP can be found in the COMET lesson, How Satellite Observations Impact NWP.PermalinkThis 20-minute lesson presents upgraded versions of the two NWP models used as High Resolution Window (HiresW), the Weather Research and Forecasting-Advanced Research WRF (WRF-ARW) and the Non-Hydrostatic Multiscale Model on the B-grid (NMMB). Domains include the CONtinental US (CONUS), Alaska, Hawaii, Guam, and Puerto Rico. The CONUS runs of the NMMB and WRF-ARW became part of a new High Resolution Ensemble Forecast (HREF) system in 2015, the first of its kind produced at the National Centers for Environmental Prediction. To familiarize the operational forecaster with the HREF, products from ...PermalinkThis lesson describes the need for real-time lightning information and the capabilities of the Geostationary Lightning Mapper (GLM), which will fly on the next-generation GOES-R satellites as the first operational lightning detector in geostationary orbit. This lesson is a part of the NWS Satellite Foundation GOES-R Course. More in-depth discussions and a quiz on the lightning flash cycle and lightning applications can be found in the COMET lesson, GOES-R GLM: Introduction to the Geostationary Lightning Mapper.PermalinkThis lesson introduces learners to the methods used in verifying the various weather element forecasts included in Version 1.0 of the U.S. National Weather Service (NWS) National Blend of global Models (NBM). This Level 2 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 verify the NBM. Learners will also explore single event, grid-to-observation, and grid-to-grid verification methods, as well as how to interpret the results using the ...PermalinkThis lesson introduces users to the statistics used in generating the various weather element forecasts included in Version 1.0 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 downscaling, bias correction, and weighting procedures applied to the model products, an ...PermalinkThis module introduces aviation forecasters to a conceptual framework for analyzing, diagnosing and predicting convective cessation and resulting conditions near airports. Users will first learn about five main environments with respect to convection, and three patterns in which these environments are commonly arranged. Next, users are immersed into an adjustable-time case simulator to practice applying the convective environment frameworks to their forecast process, while periodically amending TAFs and responding to warning, storm report and caller interruptions. Finally, a case summary ties ...PermalinkThis lesson introduces seven of the ten infrared imager bands on the GOES R-U ABI (Advanced Baseline Imager). It examines the spectral characteristics of each band to facilitate a better understanding of band selection and what each band observes, and to shed light on some of the many potential applications. This lesson is a part of the NWS Satellite Foundation GOES-R Course.PermalinkThe lesson provides an overview of radio occultation and its contributions to our understanding of Earth's atmosphere as demonstrated by the COSMIC mission launched in 2006. The lesson is divided into three chapters: Chapter 1 describes the science of radio occultation and how atmospheric profiles are obtained. Chapter 2 focuses on the benefits of radio occultation and COSMIC observations for numerous applications related to meteorology, climate, and space weather. Chapter 3 describes the COSMIC-2/FORMOSAT-7 mission and its expected improvements to further inform meteorology, climate, and iono ...PermalinkThis scenario-based lesson introduces the topic of communicating forecast uncertainty to decision-makers, such as emergency managers, related industry professionals, the public, and other end-users. In a case that spans the lesson, learners begin by developing a forecast discussion using deterministic data, refine it with probabilistic ensemble data, and evaluate how well it conveys uncertainty information. Then they assume several end-user roles, assessing how well the forecast discussion addresses their needs. From there, important research findings on communicating uncertainty are discussed ...PermalinkThis lesson introduces you to the two visible and one of the near-infrared imager bands on the GOES R-U ABI (Advanced Baseline Imager), focusing on their spectral characteristics and how they affect what each band observes. Also included is a brief discussion of the customization of visible enhancements as an important consideration for improving the depiction of various features of interest. This lesson is a part of the NWS Satellite Foundation GOES-R Course.PermalinkFog though a rare event has adverse economic implications to both the airline and aviation service providers if it’s occurrence, duration and dissipation periods are not properly predicted. This work assesses the accuracy and skill in forecasting fog events and suggesting possible adjustments to improve forecast accuracy and skill. The forecast used in this study are produced by MeteoGroup using Model Output Statistics (MOS). Forecasts for Heathrow, Northolt and Kenley are considered for analysis. These forecasts are used by British Airports Authority (BAA) in planning airport operations. The ...PermalinkThis research investigates the dynamical and thermodynamical process of mesoscale convective system that intensifies squall lines wind speed propagation. The generation of African Easterly Waves (AEWs) and its lifecycle. The characteristics of squall lines (SLs) over West Africa (WA) which occurred In Guinea for two cases periods June 01-02 and June 13-14, 2015. In all six (6) AEWs have been tracked using reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). European Meteorological Satellite images (EUMETSAT) and Earth Networks WeatherBug StreamerRT were also used to ...PermalinkOnline coupled meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. This report provides the main conclusions from the Symposium on “Coupled Chemistry-Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and ...Permalinkis an issue of MAUSAM. Government of India, 2015PermalinkAt a time when the impacts of weather and climate are still growing dramatically, it is important to look for strategies to strengthen the science and technology that have resulted in substantial improvements in the skill of weather predictions and services over the past four decades. It was not that long ago – when many baby-boomers were just entering the workforce – that accurate, reliable forecasts did not extend beyond 24 hours. Today, high-quality 5 to 7 day forecasts are the norm. This improvement has resulted in lives being saved and avoidable damage and economic impacts being averted. ...PermalinkNew sources of atmospheric observations, faster supercomputers and advances in science together revolutionized weather forecasting in the latter part of the 20th century. On the global scale, we can today predict up to five days ahead as accurately as we could do for three days 20 years ago. This means society has much more advance warning of weather hazards than before, permitting people to prepare and, thereby, limit the loss of lives and property. Expectations are high for even greater advances in the years to come.PermalinkQing-Cun Zeng, a famous academic meteorologist, is a pioneer of numerical weather prediction, dynamic climate prediction and remote sensing theory for meteorological satellites. His semi-implicit (1961) and quadratic (1981) schemes as well as his inversion variation method (1974) are still widely applied to theoretical and practical studies in meteorology and geophysical fluid dynamics. Through his active involvement in the study of global climate and environmental change, he has contributed to advancements in the study of meteorological hazards and related disaster risk reduction. He has rece ...Permalink