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Atmospheric Dust
Atmospheric dust storms are common in many of the world's semi-arid and arid regions and can impact local, regional, and even global weather, agriculture, public health, transportation, industry, and ocean health. This module takes a multifaceted approach to studying atmospheric dust storms. The first chapter examines the impacts of dust storms, the physical processes involved in their life cycle, their source regions, and their climatology. The second chapter explores satellite products (notably dust RGBs) and dust models used for dust detection and monitoring, and presents a process for fore ...
Available online: https://www.meted.ucar.edu/training_module.php?id=820
Published by: The University Corporation for Atmospheric Research ; 2012
Atmospheric dust storms are common in many of the world's semi-arid and arid regions and can impact local, regional, and even global weather, agriculture, public health, transportation, industry, and ocean health. This module takes a multifaceted approach to studying atmospheric dust storms. The first chapter examines the impacts of dust storms, the physical processes involved in their life cycle, their source regions, and their climatology. The second chapter explores satellite products (notably dust RGBs) and dust models used for dust detection and monitoring, and presents a process for forecasting dust storms. The third and final chapter of the module examines the major types of dust storms: those that are synoptically forced, such as pre- and post-frontal dust storms and those induced by large-scale trade winds; and those caused by mesoscale systems such as downslope winds, gap flow, convection, and inversion downburst storms.
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 ; Dust storm ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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Weather Radar Fundamentals
This 2-hour module presents the fundamental principles of Doppler weather radar operation and how to interpret common weather phenomena using radar imagery. This is accomplished via conceptual animations and many interactive radar examples in which the user can practice interpreting both radar reflectivity and radar velocity imagery. Although intended as an accelerated introduction to understanding and using basic Doppler weather radar products, the module can also serve as an excellent refresher for more experienced users.
Available online: https://www.meted.ucar.edu/training_module.php?id=960
Published by: The University Corporation for Atmospheric Research ; 2012
This 2-hour module presents the fundamental principles of Doppler weather radar operation and how to interpret common weather phenomena using radar imagery. This is accomplished via conceptual animations and many interactive radar examples in which the user can practice interpreting both radar reflectivity and radar velocity imagery. Although intended as an accelerated introduction to understanding and using basic Doppler weather radar products, the module can also serve as an excellent refresher for more experienced users.
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 ; Radar meteorology ; Lesson/ Tutorial ; Radar Skills and Knowledge for Operational Meteorologists
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Suomi NPP: A New Generation of Environmental Monitoring Satellites
The Suomi National Polar-orbiting Partnership or Suomi NPP satellite, launched in 2011, is the first of a new series of missions under NOAA's JPSS program. Suomi NPP has two major goals: global observing of the Earth's atmosphere, land, and ocean surface; and climate monitoring. Suomi NPP observations are used to create operational forecast products and provide input to numerical weather prediction models. They also provide continuity to the satellite climate record and other environmental datasets. This module provides an overview of the Suomi NPP satellite. The first half describes its missi ...
Available online: https://www.meted.ucar.edu/training_module.php?id=948
Published by: The University Corporation for Atmospheric Research ; 2012
The Suomi National Polar-orbiting Partnership or Suomi NPP satellite, launched in 2011, is the first of a new series of missions under NOAA's JPSS program. Suomi NPP has two major goals: global observing of the Earth's atmosphere, land, and ocean surface; and climate monitoring. Suomi NPP observations are used to create operational forecast products and provide input to numerical weather prediction models. They also provide continuity to the satellite climate record and other environmental datasets. This module provides an overview of the Suomi NPP satellite. The first half describes its mission, products, and instruments. The second half focuses on its role in environmental monitoring, offering examples of how it detects and monitors Earth's climate, land and ocean surfaces, atmosphere, and space weather.
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 ; Climate monitoring ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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ASMET: 2009 Drought in East Africa
The module examines the 2009 drought in the Greater Horn of Africa (GHA), focusing on conditions in Kenya. The module begins by reviewing drought conditions in the years leading up to 2009. From there, it examines the seasonal climate forecast for the beginning of 2009 and see what it portends. Satellite products are used to study rainfall performance throughout the year and its impact on the drought situation. Finally, the module describes the climate oscillations that can impact drought in the GHA and identifies patterns that were present in 2009 and contributed to its severity. By the end o ...
Available online: https://www.meted.ucar.edu/training_module.php?id=923
Published by: The University Corporation for Atmospheric Research ; 2012
The module examines the 2009 drought in the Greater Horn of Africa (GHA), focusing on conditions in Kenya. The module begins by reviewing drought conditions in the years leading up to 2009. From there, it examines the seasonal climate forecast for the beginning of 2009 and see what it portends. Satellite products are used to study rainfall performance throughout the year and its impact on the drought situation. Finally, the module describes the climate oscillations that can impact drought in the GHA and identifies patterns that were present in 2009 and contributed to its severity. By the end of the module, weather forecasters and students should have a better understanding of drought and the tools available for its early detection and monitoring.
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: Drought ; Weather forecasting ; El Niño-Southern Oscillation ; Climate services ; Lesson/ Tutorial ; Kenya ; Competencies for Provision of Climate Services ; Satellite Skills and Knowledge for Operational Meteorologists
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Principes directeurs relatifs aux systèmes de prévision d'ensemble et à la prévision d'ensemble
Les systèmes de prévision d’ensemble sont des systèmes de prévision numérique du temps qui nous permettent d’évaluer l’incertitude des prévisions météorologiques ainsi que leurs incidences les plus probables. Au lieu de faire tourner le modèle de prévision numérique une seule fois (prévision déterministe), on le fait tourner plusieurs fois avec des conditions initiales très légèrement différentes. Souvent, la physique du modèle est un peu perturbée et, dans certains ensembles, on fait appel à plusieurs modèles (systèmes de prévision d’ensemble multimodèle) ou à un seul modèle mais avec d ...
Published by: OMM ; 2012
Les systèmes de prévision d’ensemble sont des systèmes de prévision numérique du temps qui nous permettent d’évaluer l’incertitude des prévisions météorologiques ainsi que leurs incidences les plus probables. Au lieu de faire tourner le modèle de prévision numérique une seule fois (prévision déterministe), on le fait tourner plusieurs fois avec des conditions initiales très légèrement différentes. Souvent, la physique du modèle est un peu perturbée et, dans certains ensembles, on fait appel à plusieurs modèles (systèmes de prévision d’ensemble multimodèle) ou à un seul modèle mais avec différentes combinaisons de programmes de paramétrage physique (systèmes multiphysique). Comme il est onéreux de faire tourner un modèle de prévision numérique plusieurs fois, un tel système fonctionne généralement avec une résolution horizontale égale à la moitié environ de celle du modèle déterministe équivalent de prévision numérique. Normalement, ce système inclut une prévision de contrôle faisant appel au modèle de résolution d’ensemble, mais sans aucune perturbation de l’analyse ou du modèle. Les solutions individuelles de prévision numérique du temps constituant l’ensemble sont souvent appelées membres de l’ensemble. La gamme des diverses solutions d’une prévision nous permet d’évaluer l’incertitude de cette prévision et la confiance que nous pouvons accorder à une prévision déterministe. L’incertitude d’une prévision météorologique peut varier considérablement d’un jour à l’autre selon la situation synoptique; l’approche des systèmes de prévision d’ensemble donne une évaluation de cette incertitude. De tels systèmes, conçus pour échantillonner la fonction de distribution de probabilités de la prévision, sont souvent utilisés pour obtenir des prévisions permettant d’évaluer la probabilité que certains résultats se produisent. Les présents principes directeurs ont pour objet d’offrir des conseils d’ordre général aux prévisionnistes et aux producteurs de prévisions à propos de l’emploi efficace des systèmes de prévision d’ensemble et de ce que ceux-ci devraient permettre ou ne pas permettre de faire. On supposera que les lecteurs ont une connaissance générale des principes et de la pratique de la prévision numérique du temps.
Collection(s) and Series: OMM- No. 1091
Language(s): French; Other Languages: English, Russian, Spanish
Format: Digital (Standard Copyright)ISBN (or other code): 978-92-63-21091-3
Tags: Observations ; Numerical weather prediction ; Weather forecasting ; Guide
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WWRP/THORPEX, 18. International Core Steering Committee for THORPEX : final report
The TIGGE-LAM panel was set up by the GIFS-TIGGE working group to coordinate the contribution from Limited Area Model (LAM) Ensemble Prediction Systems (EPS) to TIGGE (the THORPEX Interactive Grand Global Ensemble, Bougeault et al. 2010) and to the proposed GIFS (Global Interactive Forecast System). After a couple of years of activity, the Panel was requested by the WWRP Joint Scientific Committee to develop a Strategic Plan outlining the main scientific and development issues on which TIGGE LAM must concentrate to advance LAM EPS and defining specific activities related to these issues. Furth ...
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Verification of mobile weather alert forecasts over Lake Victoria in Uganda
Several studies suggest that weather patterns over Lake Victoria are highly variable, with wind gusts in the vicinity of thunderstorms suddenly thrashing up high waves capable of capsizing small fishing boats. In order to improve safety on the lake, the Mobile Weather Alert (MWA) service is implemented by utilising mobile phone technology to provide daily weather forecasts that reduces vulnerability of fishermen to weather hazards. This service was developed as a pilot scheme under the WMO Severe Weather Forecast Demonstration Project (SWFDP). An evaluation of MWA forecasts over Lake Victoria ...
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Guidelines on Ensemble Prediction Systems and Forecasting
Ensemble Prediction Systems (EPS) are numerical weather prediction (NWP) systems that allow us to estimate the uncertainty in a weather forecast as well as the most likely outcome. Instead of running the NWP model once (a deterministic forecast), the model is run many times from very slightly different initial conditions. Often the model physics is also slightly perturbed, and some ensembles use more than one model within the ensemble (multi-model EPS) or the same model but with different combinations of physical parameterization schemes (multi-physics EPS). Owing to the cost of running ...
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WWRP, 2012-1. Recommended Methods for Evaluating Cloud and Related Parameters
World Meteorological Organization (WMO) ; WWRP/WGNE Joint Working Group on Forecast Verification Research (JWGFVR) - WMO, 2012Cloud errors can have wide-reaching impacts on the accuracy and quality of outcomes, most notably, but not exclusively, on temperature. This is especially true for weather forecasting, where cloud cover has a significant impact on human comfort and wellbeing. Whilst public perception may not be interested in absolute precision, i.e. whether there were 3 or 5 okta of cloud, there is anecdotal evidence to suggest strong links between the perceptions of overall forecast accuracy and whether the cloud was forecast correctly, mostly because temperature errors often go hand-in-hand. It is therefore ...
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WWRP/THORPEX, 16. International core steering committee for THORPEX - Ninth session : final report
The ninth session of the CAS International Core Steering Committee (ICSC) for THORPEX was held at the World Meteorological Organization Geneva from the 21-22 September 2011. The ICSC proceeded with the work assigned by the CAS, the WMO Executive Council and the World Meteorological Congress. This included reviews of the progress in planning and further development of THORPEX on the global and regional level, financial and administrative matters related to THORPEX management, the International Programme Office (IPO) and the Trust Fund. All documents and presentations considered and discussed at ...
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WWRP/THORPEX, 17. THORPEX Interactive Research Grand Global Ensemble - Limited Area Model Plan (TIGGE LAM)
The TIGGE-LAM panel was set up by the GIFS-TIGGE working group to coordinate the contribution from Limited Area Model (LAM) Ensemble Prediction Systems (EPS) to TIGGE (the THORPEX Interactive Grand Global Ensemble, Bougeault et al. 2010) and to the proposed GIFS (Global Interactive Forecast System). After a couple of years of activity, the Panel was requested by the WWRP Joint Scientific Committee to develop a Strategic Plan outlining the main scientific and development issues on which TIGGE LAM must concentrate to advance LAM EPS and defining specific activities related to these issues. Furth ...
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Руководящие указания по системам ансамблевого прогнозирования и прогнозированию
Системы ансамблевого прогнозирования (САП) представляют собой системы численного прогнозирования погоды (ЧПП), которые позволяют нам оценивать неопределенность в прогнозе погоды, а также наиболее вероятный исход. Вместо прогона модели ЧПП один раз (детерминированный прогноз) модель прогоняется много раз с несколько разными исходными условиями. Во многих случаях физика модели бывает также несколько возмущенной, а некоторые ансамбли используют более одной модели внутри ансамбля (мультимодельная САП) или одну и ту же модель, но с различными комбинациями схем физической параметризации (мул ...
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Directrices sobre los sistemas de predicción por conjuntos y la predicción
Los sistemas de predicción por conjuntos son sistemas de predicción numérica del tiempo (PNT) que permiten estimar la incertidumbre de una predicción meteorológica, así como el desenlace más probable del proceso predicho. En lugar de ejecutar el modelo de PNT una sola vez (predicción determinística), se ejecuta numerosas veces partiendo de condiciones iniciales ligeramente diferentes. Con frecuencia se introduce también una ligera perturbación en los parámetros físicos del modelo, y algunos conjuntos hacen uso de más de un modelo (sistema de predicción por conjuntos multimodelo), o bien ...
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