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WMO Satellite User Readiness Navigator (SATURN)
The SATURN (SATellite User Readiness Navigator) developed jointly by WMO and meteorological satellite operators provides unified access to information that helps users to prepare for the new generation of meteorological satellites to be launched in the 2015-2020 timeframe. Next-generation geostationary satellites are being launched by JMA, NOAA, CMA, KMA, ROSHYDROMET and EUMETSAT, with unprecedented capabilities for severe weather monitoring, nowcasting and short range forecasting, and for a number of other application areas. However, the new systems also pose unprecedented challenges to users ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1181
Published by: The University Corporation for Atmospheric Research ; 2015
The SATURN (SATellite User Readiness Navigator) developed jointly by WMO and meteorological satellite operators provides unified access to information that helps users to prepare for the new generation of meteorological satellites to be launched in the 2015-2020 timeframe. Next-generation geostationary satellites are being launched by JMA, NOAA, CMA, KMA, ROSHYDROMET and EUMETSAT, with unprecedented capabilities for severe weather monitoring, nowcasting and short range forecasting, and for a number of other application areas. However, the new systems also pose unprecedented challenges to users, for example an order-of-magnitude increase in the amount of data and products to be generated from the on-board advanced imagers and sounders. Users also need to prepare for changes in data formats, reception techniques, data types from geostationary sounders and the capabilities of 16-channel imagers. The SATURN site features a Reference User Readiness Project, with a generic timeline to guide user readiness planning. This resource is made available courtesy of the World Meteorological Organization Space Programme and is not produced, owned or hosted by UCAR/COMET.
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: Weather forecasting ; Training ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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NWP Essentials: Model Physics
This lesson describes model parameterizations of surface, PBL, and free atmospheric processes. It specifically addresses how models treat these processes, how such processes can potentially interact with each other, and how they can influence forecasts of sensible weather elements. Topics covered include: soil moisture processes, radiative processes involving clouds, and turbulent processes in the PBL and free atmosphere.
Available online: https://www.meted.ucar.edu/training_module.php?id=1156
Published by: The University Corporation for Atmospheric Research ; 2015
This lesson describes model parameterizations of surface, PBL, and free atmospheric processes. It specifically addresses how models treat these processes, how such processes can potentially interact with each other, and how they can influence forecasts of sensible weather elements. Topics covered include: soil moisture processes, radiative processes involving clouds, and turbulent processes in the PBL and free atmosphere.
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: Weather forecasting ; Numerical weather prediction ; Soil moisture ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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NWP Essentials: Precipitation and Clouds
Both the processes of convection and of rainfall formation are typically subgrid scale, and require parameterisation. This lesson examines two types of precipitation parameterisation used by models: Convective parameterisation Microphysics The lesson also discusses how to identify when these parameterisations are not performing well and steps to address the issues that arise.
Available online: https://www.meted.ucar.edu/training_module.php?id=1157
Published by: The University Corporation for Atmospheric Research ; 2015
Both the processes of convection and of rainfall formation are typically subgrid scale, and require parameterisation. This lesson examines two types of precipitation parameterisation used by models: Convective parameterisation Microphysics The lesson also discusses how to identify when these parameterisations are not performing well and steps to address the issues that arise.
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: Weather forecasting ; Precipitation ; Numerical weather prediction ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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HYSPLIT Applications for Emergency Decision Support, 2nd Edition
This module helps forecasters provide decision support services during hazardous materials emergencies. Topics covered include: Types of weather data inputs required for short-range dispersion models typically used by emergency managers Types of inputs required to run the web version of the HYSPLIT model with the ALOHA source term, which is now available to NWS forecasters The types and scales of events that are appropriate and inappropriate for modeling by HYSPLIT Key uncertainties that can cause misleading dispersion model forecasts The processes and limitations of CAMEO/ALOHA and HYSPLIT Ho ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1129
Published by: The University Corporation for Atmospheric Research ; 2015
This module helps forecasters provide decision support services during hazardous materials emergencies. Topics covered include: Types of weather data inputs required for short-range dispersion models typically used by emergency managers Types of inputs required to run the web version of the HYSPLIT model with the ALOHA source term, which is now available to NWS forecasters The types and scales of events that are appropriate and inappropriate for modeling by HYSPLIT Key uncertainties that can cause misleading dispersion model forecasts The processes and limitations of CAMEO/ALOHA and HYSPLIT How to read and interpret HYSPLIT output How to handle special situations, such as when the meteorological models do not adequately represent conditions at the spill site The role of emergency managers and how to effectively communicate with them The second edition has been updated to reflect the addition of the ALOHA source strength term and CAMEO chemicals database to the HYSPLIT dispersion model. This addition requires forecasters to ask different questions of emergency responders, input different parameters into the dispersion model, and interpret and disseminate different output graphics.
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: Weather forecasting ; Numerical weather prediction ; Plume ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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NWP Essentials: Data Assimilation
This lesson introduces the processes of model data assimilation. It also discusses the impacts of errors in the data assimilation on model forecasts and how a human forecaster can compensate for them.
Available online: https://www.meted.ucar.edu/training_module.php?id=1155
Published by: The University Corporation for Atmospheric Research ; 2015
This lesson introduces the processes of model data assimilation. It also discusses the impacts of errors in the data assimilation on model forecasts and how a human forecaster can compensate for them.
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: Observations ; Weather forecasting ; Numerical weather prediction ; Lesson/ Tutorial ; Data assimilation ; NWP Skills and Knowledge for Operational Meteorologists
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Seamless prediction of the Earth system : from minutes to months
This book collects together White Papers that have been written to describe the state of the science and to discuss the major challenges for making further advances. The authors of each chapter have attempted to draw together key aspects of the science that was presented at WWOSC-2014. The overarching theme of this book and of WWOSC-2014 is “Seamless Prediction of the Earth System: from minutes to months”. The book is structured with chapters that address topics regarding: Observations and Data Assimilation; Predictability and Processes; Numerical Prediction of the Earth System; Weather-relate ...
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WMO Guidelines on Multi-hazard Impact-based Forecast and Warning Services
Improving the understanding of the potential impacts of severe hydrometeorological events poses a challenge to NMHSs and their partner agencies, particularly disaster reduction and civil protection agencies (DRCPAs). These Guidelines establish a road map that identifies the various milestones from weather forecasts and warnings to multi-hazard impact-based forecast and warning services.
For completeness, these Guidelines also describe the ultimate step of forecasting actual impacts, although it is recognized that this is a highly sophisticated exercise, requiring strong collaboration w ...
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Directives de l’OMM sur les services de prévision et d’alerte multidanger axées sur les impacts
Mieux comprendre les incidences potentielles des phenomenes hydrometeorologiques violents represente un defi pour les SMHN et leurs partenaires, notamment les organismes de protection civile et de prevention des catastrophes. A cette fin, les presentes directives repertorient les diverses etapes a suivre, depuis l’elaboration de previsions et d’alertes meteorologiques jusqu’a la prestation de services de prevision et d’alerte multidanger axees sur les impacts.
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المبادئ التوجيهية للمنظمة (WMO) بشأن خدمات التنبؤ والإنذار بالأخطار المتعددة على أساس الآثار مطبوع
وتحسين فهم الآثار التي يمكن أن تترتب على الظواهر الجوية الهيدرولوجية الخطيرة يمثل تحدياً للمرافق الوطنية ) NMHSs ( والوكالات الشريكة، لاسيما وكالات الحد من مخاطر الكوارث والحماية المدنية ) )DRCPAs وتشكل هذه المبادئ التوجيهية خارطة طريق تحدد النقاط البارزة المختلفة بدءاً بخدمات التنبؤ والإنذار بالطقس ووصولاً إلى خدمات التنبؤ والإنذار بالمخاطر المتعددة على أساس الآثار. وحتى تكون هذه المبادئ التوجيهية كاملة، فإنها تعرض أيضاً الخطوة الأخيرة المتمثلة في التنبؤ بالآثار الفعلية، وإن كان من المعروف أنها عملية متطورة جداً تتطلب تعاوناً وثيقاً مع الوكالات الشريكة وبحوثاً هامة في مسائل التعرض لتلك الآثار ...
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WMO基于影响的 多灾种预报和预警服务 指导原则
提高对水文-气象灾害事件潜在影响的认识会给NMHS及其伙伴机构,特别是减灾和民 防机构(DRCPA)带来挑战。本指导原则可制定路线图,用以确定从天气预报和预警到多 灾种基于影响预报和预警服务的各项进度。 为了保证完整性,本指导原则还阐明了实际影响的最终预报步骤,尽管认识到这是一 个极为复杂的工作,不仅需要与伙伴机构开展强有力的合作,还要大力开展暴露度和脆弱 性研究。对于许多WMO会员而言,这一步骤并不是NMHS的职责,而是相关DRCPA和其 他伙伴的职责。
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Руководящие указания ВМО по обслуживанию прогнозами и предупреждениями о многих опасных явлениях с учетом их возможных последствий
Улучшение понимания потенциальных последствий суровых гидрометеорологических явлений является сложной задачей для НМГС и являющихся их партнерами учреждений, в частности учреждений, занимающихся вопросами уменьшения опасности бедствий и гражданской обороны (УУОБГO). Настоящие Руководящие указания устанавливают «дорожную карту», в которой определяются различные этапы перехода от обслуживания прогнозами погоды и предупреждениями к обслуживанию прогнозами многих опасных явлений и предупреждениями о них с учетом возможных последствий. Для полноты картины в данных Руководящих указаниях также описыв ...
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Directrices de la OMM sobre servicios de predicción y aviso multirriesgos que tienen en cuenta los impactos
La mejora de la comprension de los posibles impactos de los fenomenos hidrometeorologicos extremos es un reto para los SMHN y sus organismos asociados, en particular los organismos para la reduccion de desastres y proteccion civil. Estas Directrices establecen un programa en el que se identifican los distintos hitos desde la prediccion y los avisos meteorologicos hasta los servicios de prediccion y aviso multirriesgos que tienen en cuenta los impactos. En aras de la integridad, estas Directrices tambien describen el ultimo paso de la prediccion de los impactos reales, aunque se reconoce que es ...
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Prévoir l'évolution du système terrestre de la minute au mois
La publication rassemble des «livres blancs» qui présentent l’état d’avancement de la météorologie et les grands défis à relever pour progresser encore. Dans chaque chapitre, les auteurs ont cherché à récapituler des éléments fondamentaux présentés à la Conférence. Le thème directeur de l’ouvrage comme de la Conférence est le «continuum de prévision du système terrestre de quelques minutes à plusieurs mois». La publication s’organise en chapitres portant notamment sur les observations et l’assimilation des données, la prévisibilité et les différents processus, la prévision numérique du système ...
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La predicción sin discontinuidad del sistema tierra : de minutos a meses
El presente libro reúne documentos informativos elaborados para describir la situación actual de la ciencia y debatir los principales desafíos para seguir avanzando. Los autores de cada capítulo han tratado de recopilar los aspectos científicos clave presentados en la primera Conferencia científica abierta sobre meteorología mundial. El tema principal del presente libro y la Conferencia es “La predicción sin discontinuidad del sistema Tierra: de minutos a meses”. El libro está estructurado en varios capítulos que abordan temas relacionados con las observaciones y la asimilación de datos, la pr ...
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Un processus en cascade pour de meilleurs services de prévision et d’alerte
Bulletin, Vol. 62(2). OMM, 2014Les immenses progrès accomplis ces dernières décennies dans le domaine de la prévision numérique du temps (PNT) ont été possibles grâce à l’intensification et à la meilleure assimilation des observations, à l’augmentation de la puissance des ordinateurs et à l’approfondissement de notre compréhension des processus dynamiques et physiques en cause. Ces avancées, qui ont permis d’affiner la prévision des conditions météorologiques, présenteront encore plus d’intérêt à l’avenir. En conséquence, la météorologie, l’hydrologie, l’océanographie et la climatologie opérationnelles s’orientent maintenan ...
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Cascading Process to Improve Forecasting and Warning Services
Bulletin, Vol. 62(2). WMO, 2014The advances in Numerical Weather Prediction (NWP) in the last decades have been tremendous thanks to more, and better assimilated, observations, higher computing power and progress in our understanding of dynamics and physics.
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Satellite Feature Identification: Conveyor Belts
Conveyor belts highlight important atmospheric processes that can be advantageous for making forecasts. They can be used for identifying general temperature patterns, defining the extent of cloud cover, predicting moisture return, evaluating stability, forecasting wind gusts, pinpointing cyclogenesis, and understanding the three-dimensional structure of the atmosphere. For short-term forecasts, they can even augment NWP showing the three-dimensional structure and portraying the same information as equivalent or wet-bulb potential temperature and potential vorticity surfaces. Conveyor belts mak ...
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Tropical Cyclone Intensity Analysis
This lesson provides guidance for operational forecasters needing to combine different intensity methods to determine the intensity of a tropical cyclone. Each of the intensity methods is summarized, focusing on both strengths and weaknesses. These methods include the Dvorak technique, surface observations, scatterometry, the Advanced Dvorak Technique (ADT), microwave sounders (AMSU), SATCON, and subjective interpretation of passive microwave patterns. Consideration of the previous intensity estimate and forecast is also examined. Three case studies task the learner with combining the various ...
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EUMeTrain's Synoptic Textbook
This 190-page text, which is based on a series of university lectures, provides comprehensive information on synoptic meteorology. There's a general introduction to synoptics followed by chapters on tropospheric circulation, air masses, boundary layer and weather, wind fields, jet streams, vertical motions, high and low pressure, convective systems, numerical parameters in vertical cross sections, mid-latitude cyclones, the tropopause, and fronts. A number of the examples in the textbook are from Northern Europe. This resource is made available courtesy of EUMeTrain and is not produced, owned ...
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Introduction to Electromagnetic and Electro-Optic Propagation
This lesson describes the properties of electromagnetic and electro-optical radiation and how their propagation is affected by the atmosphere and weather. Atmospheric variables that affect EM propagation include temperature, moisture, pressure, and composition. These variables control processes including refraction, absorption, and scattering.
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Basics of Visible and Infrared Remote Sensing
This lesson presents the scientific and technical basis for using visible and infrared satellite imagery so forecasters can make optimal use of it for observing and forecasting the behaviour of the atmosphere. The concepts and capabilities presented are common to most international geostationary (GEO) and low-Earth orbiting (LEO) meteorological satellites since their inception, and continue to apply to both current and newer satellite constellations. The lesson reviews remote sensing and radiative transfer theory through a series of conceptual models. Discussions contain explanations of the di ...
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Climate Variability and Change Lectures, July 2013
This lesson presents 13 recorded presentations from the 29 July–2 August, 2013 offering of the Climate Variability and Change Virtual Course (CVCVC). This five-day live facilitated online course provided an extensive background on a range of climate variability and change topics with an emphasis on developing communication skills for challenging climate topics. The topics covered in this course, while aimed primarily at NOAA operational climate services delivery staff will also be helpful for others who already possess a basic level of understanding of climate science. Presentations include: W ...
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VLab's Conceptual Models for Southern Hemisphere
Conceptual Models for Southern Hemisphere is a joint project between four southern hemispheric regions: Argentina, Australia, Brazil and South Africa. The purpose of the project is to improve warnings and awareness of weather risks through the better understanding of weather through conceptual models. The objectives of the project are to produce and make available resources about Conceptual Models. These resources are available for other training institutions within the regions as well. The number of southern hemispheric conceptual models in this catalogue will increase stepwise in the near fu ...
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EUMeTrain's Manual of Synoptic Satellite Meteorology
The Manual of Synoptic Satellite Meteorology, or SatManu, provides detailed descriptions of approximately fifty atmospheric conceptual models at different scales from a satellite point of view. Each conceptual model has associated exercises and many have case studies that show how the models can be applied. Most of the case studies were developed for specific training courses in Europe. SatManu also has case studies of catastrophic weather events which are presented from the perspective of the conceptual models. In addition, an introductory chapter describes the different satellite channels. T ...
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Ensemble Applications in Winter
This lesson provides an introduction to ensemble forecast systems using an operational case study of the Blizzard of 2013 in Southern Ontario. The module uses models available to forecasters in the Meteorological Service of Canada, including Canadian and U.S. global and regional ensembles. After briefly discussing the rationale for ensemble forecasting, the module presents small lessons on probabilistic ensemble products useful in winter weather forecasting, immediately followed by forecast applications to a southern Ontario case. The learner makes forecasts for the Ontario Storm Prediction Ce ...
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