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Satellite Signals from Space: Smart Science for Understanding Weather and Climate
Want 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 ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1425
Published by: The University Corporation for Atmospheric Research ; 2019
Want 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 occultation and measures the bending of the GPS signal in the atmosphere. The observations offer scientists very accurate information to improve weather forecasts, especially for tropical events such as hurricanes. COSMIC also helps scientists monitor a part of Earth's upper atmosphere called the ionosphere and provides long-term records for understanding Earth's climate. This video is part of the UCAR Center for Science Education's Satellites and Weather Teaching Box.
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: Climate ; Weather ; Meteorology ; Climatology ; Atmosphere ; Satellite ; Weather forecasting ; Hurricane ; Humidity ; Water ; Numerical weather prediction ; Ionosphere ; Remote sensing ; Lesson/ Tutorial ; Tropics ; Satellite Skills and Knowledge for Operational Meteorologists
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Basic Satellite and NWP Integration
NWP 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 ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1408
Published by: The University Corporation for Atmospheric Research ; 2019
NWP 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 value to short-term NWP forecasts could benefit from taking this lesson to learn a process for assessing NWP output compared to observations. This lesson focuses on fog and convection in Africa, however this lesson can apply to many other cases, and is generalized enough to help forecasters from anywhere in the world.
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 ; Fog ; Convection ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists ; Satellite Skills and Knowledge for Operational Meteorologists
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Interpreting and Communicating EPS Guidance: Germany Winter Event
This 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 ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1407
Published by: The University Corporation for Atmospheric Research ; 2019
This 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 learning course.
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 ; Snow ; Numerical weather prediction ; Freezing rain ; Forecast uncertainty ; Lesson/ Tutorial ; Germany ; NWP Skills and Knowledge for Operational Meteorologists
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Satellite Foundational Course for JPSS: SatFC-J (SHyMet Full Course Access)
The 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 ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1614
Published by: The University Corporation for Atmospheric Research ; 2019
The 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 course is intended to help learners develop and improve their understanding of the value and anticipated benefits of JPSS, including improved monitoring of meteorological, environmental, and climatological phenomena and related hazards. The full listing of lessons is accessible through the SHyMet website. [Note that NOAA personnel should access the lessons through the Commerce Learning Center (CLC).] Training developers include VISIT/SHyMet staff from the Cooperative Institutes at CIMSS and CIRA; COMET; the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS); the Short-term Prediction Research and Transition Center (SPoRT); and the NWS Office of the Chief Learning Officer (OCLO).
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: Meteorology ; Observations ; Satellite ; Weather forecasting ; Precipitation ; Remote sensing ; Training ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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Instrumentation and Measurement of Wind
This lesson summarizes the science and techniques used to measure atmospheric wind. It presents an overview of the main sensor types for wind, including mechanical, electronic, and drifting-position sensors as well as sensors relying on impact pressure and sensors utilizing timing or Doppler shifts. The advantages and limitations of the sensor types and information about uncertainty and errors are reviewed with a focus on understanding which sensors might be best for particular applications. The lesson concludes with wind measurement applications including turbulence profiles, turbulence flux ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1603
Published by: The University Corporation for Atmospheric Research ; 2019
This lesson summarizes the science and techniques used to measure atmospheric wind. It presents an overview of the main sensor types for wind, including mechanical, electronic, and drifting-position sensors as well as sensors relying on impact pressure and sensors utilizing timing or Doppler shifts. The advantages and limitations of the sensor types and information about uncertainty and errors are reviewed with a focus on understanding which sensors might be best for particular applications. The lesson concludes with wind measurement applications including turbulence profiles, turbulence flux measurements, wind speed analysis, and variance spectra.
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: Wind ; Radiosonde ; Lesson/ Tutorial
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Spatial/Temporal Distribution of Rainfall and the Dynamic Factors Associated over African Great Lakes Region from 1981 to 2016
Based on Global Precipitation Climatology center (GPCC) precipitation data and Era-Interim Zonal and Meridional wind, relative humidity, Sea Level Pressure and Sea surface temperature data from ECMWF, Statistical methods were conducted to find out the interannual variability of rainfall and its dynamic factors in AGLR from 1981 to 2016. The results show that there are two (long and short) rainfall seasons over AGLR, MAM and OND respectively. The empirical orthogonal function was used to reveal through the dominant principal components (PC1) of the first EOF, the extreme years (wet and dry) for ...Permalink![]()
Aeronautical Meteorological Personnel (AMP) Competency Training Mapping Database
The AMP Competency Training Mapping Database contains useful links to relevant training resources mapped to the top and second level competencies of Aeronautical Meteorological Observers and Aeronautical Meteorological Forecasters with the availability of various types of search function.Permalink![]()
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AMCOMET Achievements 2010–2018
Many initiatives and partnerships have flourished under the umbrella of the African Union’s Strategy on Meteorology by aligning their actions with its priorities and demonstrating coherence of efforts. This report highlights key initiatives that have been made possible as a result of the increased visibility AMCOMET has brought to weather, climate and water services in Africa. The report gives us an opportunity to review the first eight years of AMCOMET and to give recognition to its many achievements.Permalink![]()
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Messages et prévisions d’aérodromes : guide d'utilisation des codes
Le présent fascicule est un petit guide pratique des codes de météorologie aéronautique METAR, SPECI et TAF. Mis à jour pour tenir compte de l’alignement du Règlement technique (OMM-N° 49), Volume II – Assistance météorologique à la navigation aérienne internationale, parties I et II, sur l’Amendement 78 a l’Annexe 3 de la Convention relative à l’aviation civile internationale, il est entré en vigueur le 8 novembre 2018. Il s’adresse à un grand nombre d’utilisateurs tels les pilotes, les agents techniques d’exploitation, le personnel du contrôle de la circulation aérienne et les observateurs m ...Permalink![]()
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Aerodrome reports and forecasts : A Users’ Handbook to the Codes
This booklet is a simple guide to the aeronautical meteorological codes, METAR, SPECI and TAF, applicable on 8 November 2018, updated as a result of the alignment of the Technical Regulations (WMO-No. 49), Volume II – Meteorological Service for International Air Navigation, Parts I and II, with Amendment 78 to Annex 3 to the Convention on International Civil Aviation. It is aimed at a wide range of users such as pilots, flight dispatchers, air traffic control staff and meteorological observers at smaller aerodromes where sophisticated automated instruments are not available. Although the reade ...Permalink![]()
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ETR, 25. Developing Meteorological and Hydrological Services through WMO Education and Training Opportunities
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ETR, 25. Развитие Метеорологического и Гидрологического Обслуживания с Помощью Предоставляемых ВМО Возможностей По Образованию и Подготовке Кадров
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ETR, 25. Desarrollo de los Servicios Meteorológicos e Hidrológicos mediante las oportunidades de enseñanza y formación profesional de la Organización Meteorológica Mundial
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ETR, 25. Développer les services météorologiques et hydrologiques via les offres de formation de l’OMM
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