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What's New in NBM v3.2
The 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)
Available online: https://www.meted.ucar.edu/training_module.php?id=10007
Published by: The University Corporation for Atmospheric Research ; 2019
The 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)
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 ; Fire weather ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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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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Leveraging Social Science to Improve Risk Communications
NWS forecasts are only one of many sources of forecast guidance that both expert users and the public have access to. Decision support for a spectrum of end users requires that the NWS will use social science findings and practices as a guide for making its products more accessible and effective.This lesson will focus on effective messaging when communicating weather hazards. In the process the learner will become familiar with some messaging best practices that are based on social science findings.
Available online: https://www.meted.ucar.edu/training_module.php?id=1379
Published by: The University Corporation for Atmospheric Research ; 2019
NWS forecasts are only one of many sources of forecast guidance that both expert users and the public have access to. Decision support for a spectrum of end users requires that the NWS will use social science findings and practices as a guide for making its products more accessible and effective.This lesson will focus on effective messaging when communicating weather hazards. In the process the learner will become familiar with some messaging best practices that are based on social science findings.
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: Lesson/ Tutorial
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NWP Comparisons: Total-column Variables
Another 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.
Available online: https://www.meted.ucar.edu/training_module.php?id=1617
Published by: The University Corporation for Atmospheric Research ; 2019
Another 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.
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 ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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PV Modification
You 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 Course
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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 ...
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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 ...
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Frontal Diagnosis 1
In 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.
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GOES-R Geostationary Lightning Mapper (GLM) North America Examples
The 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 ...
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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 ...
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Introduction to Modifying NWP Output
Surface 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.
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Scenario-Based Planning for Sea Level Change in the U.S. Using the USACE Sea Level Change Curve Calculator and Guidance
This lesson introduces tools and concepts that are essential for scenario-based planning for sea level change. The lesson guides the learner through the use of the USACE Sea Level Change Calculator to produce site-specific water-level projections. The lesson also introduces the NOAA Sea Level Rise Viewer and NOAA's Sea Level Trends website.
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Using Multi-hazard, Impacts-based Forecast and Warning Services
Using a heavy rain situation in Barbados, this video will demonstrate the use of Multi-hazard, Impacts-based Forecast and Warning Services. The demonstration will show an evolution of the forecast in the 3-, 2-, and 1-day lead time periods. The rainfall case is based loosely on 2018's Tropical Storm Kirk, although the name and specific details of the storm are not used.
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Adjusting NWP: Direct Comparison
If 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 ...
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WMO Statement on the state of the global climate in 2018
This publication marks the twenty-fifth anniversary of the WMO Statement on the State of the Global Climate, which was first issued in 1994. The 2019 edition treating data for 2018 marks sustained international efforts dedicated to reporting on, analysing and understanding the year-to-year variations and long-term trends of a changing climate.
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SP, 13. WMO 2016 Survey on the Use of Satellite Data
The World Meteorological Organization (WMO) commissioned the WMO 2016 Survey on the Use of Satellite Data to collect information on the availability and use of satellite data and products for meteorological and related environmental applications by users globally, and to identify obstacles and areas for improvement. WMO carries out this global Survey every four years, and the results from the previous 2012 Survey1 are used as a baseline in this report wherever possible.
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International Research Institute for Climate and Society (IRI) Trainings
International Research Institute for Climate and Society (IRI) - International Research Institute for Climate and Society (IRI)This website makes available numerous resources from IRI training events.
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TROP ICSU: Educational Resource for Teachers to Integrate Climate Topics across the Curriculum
We collate and curate digital/ICT-based teaching resources that integrate climate studies across the curriculum of Science, Mathematics, Social Sciences and Humanities. These teaching resources are locally rooted in their context, but globally relevant for their science.
Our innovative educational resources, with detailed step-by-step descriptions for use in regular lectures, are designed and packaged so that teachers in schools and colleges/Universities across the world can use them to introduce examples and case studies from climate science and climate change while enhancing t ...
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Rapport annuel 2018 : L'OMM au XXIe siècle
Ces pages vous présentent les efforts déployés par l’OMM en 2018 pour tendre vers un monde dans lequel toutes les nations maîtriseront mieux les conséquences socio-économiques des phénomènes extrêmes liés au temps, au climat, à l’eau et à l’environnement, et dans lequel elles disposeront des moyens nécessaires pour poursuivre un développement durable grâce aux meilleurs services météorologiques, climatologiques et hydrologiques possibles – telle est l’OMM au XXIe siècle.
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Guía de Instrumentos y Métodos de Observación (OMM-N° 8)
La primera edición de la Guía de Instrumentos y Métodos de Observación Meteorológicos (OMM-Nº 8) se publicó en 1954 […].
La presente Guía es un recurso fundamental que describe la mayoría de los instrumentos, los sistemas y las técnicas utilizados regularmente, desde los más sencillos hasta los más complejos y sofisticados, pero no pretende abordar los métodos e instrumentos que se utilizan únicamente con fines de investigación. Tiene por objeto presentar las mejores prácticas, los procedimientos y las capacidades básicas de los instrumentos y sistemas a fin de ayudar a los Servicios Me ...
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Руководство по приборам и методам наблюдений (ВМО-№ 8)
Первое издание Руководства по метеорологическим приборам и методам наблюдений (ВМО-№ 8) было опубликовано в 1954 г.[…].
Данное Руководство представляет собой ключевой ресурс, в котором содержится описание большинства приборов, систем и методов, используемых на регулярной основе: от простейших до характеризующихся высоким и высочайшим уровнем сложности, при этом не делается попытки описать методы и приборы, которые используются лишь для проведения научных исследований. Задача Руководства состоит в том, чтобы предоставить информацию о передовых методах, процедурах и базовых возможностях п ...
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气象仪器与观测方法指南 (WMO-No. 8)
《WMO 气象仪器和观测方法指南》(WMO-No.8)第一版于1954 年出版,共十二章。此后,标准化仍然是仪器和观测方法委员会(CIMO)活动的一个关键问题。委员会不断审议指南的 内容,并确保在定期更新时纳入了反映技术的快速发展及其在气象仪器和观测方法领域的 实施的现代指导材料。
对于常规用途的大多数仪器、系统和技术,本指南是一项关键资源,提供了从最简单到最复 杂精细的描述,但不会涉及仅用于研究的方法和工具。指南的目的是给出最佳做法和程序,以及仪器和系统的基本能力,协助国家气象和水文部门或者其他感兴趣的运行观测系统的用 户编制他们的手册和程序,满足各自对测量和观察结果的特定需要。指南有意将标准化限制 在基本要求上,并将建议局限至给定仪器或测量系统不同配置最常见的一般特征,从而给 进一步发展留下广泛余地。对于有关与WIGOS 相关的仪器和观测方法的所有问题,本指南 都是权威参考。
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دلیل أدوات وطرق الرصد - مطبوع المنظمة رقم 8
وصدرت الطبعة الأولى من دلیل أدوات وطرق رصد الأحوال الجویة (مطبوع المنظمة رقم 8) في عام 1954 وكانت تتألف من اثني عشر فصلاً. ومنذ ذلك الحین، ظلت مسألة التوحید القیاسي مصدر قلق ومن ھنا تواصل اللجنة استعراض محتویات .(CIMO) رئیسیاً بالنسبة لأنشطة لجنة أدوات وطرق الرصد الدلیل وتتأكد من أن عملیات التحدیث المنتظمة تشمل المواد الإرشادیة الحدیثة التي تعكس التطور السریع للتكنولوجیا وتنفیذھا في مجال أدوات وطرق رصد الأحوال الجویة
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Guide des instruments et des méthodes d’observation (OMM-N° 8)
Organisation météorologique mondiale (OMM) - OMM, Éditions 2018 et 2021 (Éditions 2018 et 2021; OMM-No. 8)La première édition du Guide des instruments et des methodes d’observation meteorologiques (OMM-N° 8) a été publiée en 1954.
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Guide to Instruments and Methods of Observation (WMO-No. 8)
The first edition of this guide was published in 1950.
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Guide to Competency
The purpose of this Guide is to provide guidance to Members’ organizations that are developing, implementing and/or maintaining competency-based training and assessment programmes based upon the World Meteorological Organization (WMO) competency frameworks established in the Technical Regulations, Volume I (WMO-No.49).
Examples of selected Members’ best practices are included in this guidance material to facilitate transfer of knowledge and experience, and thus enable organizations to achieve compliance with the WMO requirements in the most efficient way.
This Guide will also be ...
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Guide to marine meteorological services
Internationally agreed methods of providing services to the marine community around the world are described in the Manual on Marine Meteorological Services (WMO-No. 558), Volume I. The purpose of this Guide is to complement the Manual by:
(a) Describing the requirements for the various types of service;
(b) Explaining the rationale for the agreed methods of providing services;
(c) Giving guidance on how to set up and maintain marine meteorological services.
It follows the same structure as the Manual on Marine Meteorological Services.
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气候实践指南
本出版物旨在为世界气象组织(WMO)会 员开展与气候信息与服务相关的国家活动提供 指导和支持。本指南之前已有两个版本:最初 的版本出现在1960年,而第二个版本于1983年 出版。随着时间的推移,虽然很多最基本的气 候科学和气候学惯例仍然保持不变,但是气候 学知识和资料分析技术方面的科学进步,以及 技术、计算机能力以及仪器方面的变化,使得 第二个版本过时了。
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دليل الممارسات المناخية
المنظمة العالمية للأرصاد - المنظمة العالمية للأرصاد, 2018 (طبعة 2018; مجموعة مطبوعات المنظمة-No. 100)صمم هذا المطبوع من أجل توفير التوجيه والمساعدة لأعضاء المنظمة العالمية للأرصاد الجوية في تطوير الأنشطة الوطنية المرتبطة بالمعلومات والخدمات المناخية. وقد صدرت طبعتان سابقتان من هذا الدليل: المطبوع الأصلي، الذي ظهر في 1960 ، والطبعة الثانية، التي نشرت في 1983 . ومع أن الكثير من مبادئ علم المناخ والممارسات المناخية لم تفقد صلاحيتها مع مرور الزمن، فإن أوجه التقدم العلمي في المعارف المناخية وأساليب تحليل البيانات، فضاً عن التغيرات التي حدثت في التكنولوجيا، وفي قدرات الحواسيب والأجهزة، قد جعلت الطبعة الثانية غير مناسبة للعصر.
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Guía de prácticas climatológicas
La presente publicación tiene por objeto proporcionar orientación y asistencia a los Miembros de la Organización Meteorológica Mundial (OMM) para llevar a cabo actividades nacionales vinculadas con la información y los servicios climáticos.
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Satellite Data Telecommunication Handbook
This handbook is a guide to using satellite telecommunication systems and is provided as an attachment to the Guide to the WMO Information System (WMO-No. 1061). It is intended for scientists and managers who are considering using satellite communications to collect data from remote instrumentation located either on land or at sea. The handbook aims to provide an overview of the state of the market at the time of writing (April 2018) so that users can quickly identify which satellite services are appropriate for their needs. Since the market is evolving rapidly, an online version will be made ...
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Руководство по климатологической практике
Настоящая публикация предназначена для предоставления руководства и оказания содействия странам — членам Всемирной Метеорологической Организации (ВМО) в развитии национальной деятельности, связанной с климатической информацией и обслуживанием.
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Guide sur les compétences
Le Guide veut aider les organismes qui souhaitent élaborer, appliquer ou actualiser des programmes de formation et d’évaluation axées sur les compétences en s’appuyant sur les cadres de l’OMM qui figurent dans le Volume I du Règlement technique (OMM-No 49).
On y trouvera quelques exemples de pratiques définies par les Membres, de sorte que la diffusion de ces connaissances et enseignements facilite le respect des exigences fixées par l’OMM de la meilleure façon qui soit.
Le Guide sera également utile aux commissions techniques et aux équipes d’experts chargées de définir et d’act ...
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Instrumentation and Measurement of Atmospheric Humidity
This lesson provides an overview of the science and techniques related to measuring humidity, or the amount of water vapor, in Earth's atmosphere. After beginning with a review of the units used for humidity, the learner will examine the three main types of hygrometers (material, thermodynamic, and optical) and explore instruments within each of these categories. The lesson provides information about the advantages and limitations of various humidity instruments. The effects of siting, sheltering, and ventilation on humidity measurements are also addressed. The lesson is part of the Instrument ...
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Interpreting and Communicating EPS Guidance: Iberian Heat Wave
This 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.
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Situational Awareness in The Fire Environment
Maintaining situational awareness is a crucial skill in every decision-support situation. Wildland fires that threaten populated areas have the potential to inflict devastating damage to communities and can also threaten the personnel working on the fire. This lesson introduces the Situational Awareness Cycle. Learners practice using it to continuously monitor and adapt their support strategies and decision-support information depending on the rapidly evolving wildfire conditions. The lesson also discusses a range of tools that can be used to build and maintain situational awareness.
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What's New in the National Blend of Models version 3.1
Intended 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 ...
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Location Science Improves Everyday Life
This short video explores some of the ways that location science improves everyday life. It follows two characters, Jane and John, through the course of a typical day. Jane has a smooth trouble-free day fishing with friends, thanks in part to accurate location surveys. John, on the other hand, has an awful day traced to inaccurate surveys and out-of-date maps.
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SatFC-J: The CrIS and ATMS Sounders
This 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 ...
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