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21世纪的WMO
世界气象组织 (WMO) - 世界气象组织 (WMO), 2018إن إعادة ھیكلة المنظمة ( WMO ) المشار إلیھا أعلاه ستعزز المشاركة الإقلیمیة الاستباقیة وبناء القدرات. وعملاً على تلبیة الطلب العالمي المتنامي على الخبرة المتخصصة في مجالات الطقس والمناخ والماء، تكفل أحكام الإصلاح ألا یتخلف أي عضو عن الركب.
الهيكل المقترح
إن إعادة ھیكلة المنظمة ( WMO ) المشار إلیھا أعلاه ستعزز المشاركة الإقلیمیة الاستباقیة وبناء القدرات. وعملاً على تلبیة الطلب العالمي المتنامي على الخبرة المتخصصة في مجالات الطقس والمناخ والماء، تكفل أحكام الإصلاح ألا یتخلف أي عضو عن الركب.
ВМО в XXI веке
Такая реструктуризация Организации расширит региональное участие и развитие потенциала в упредительном режиме. В целях реагирования на растущий спрос на экспертные знания в области погоды, климата и воды положения о реформе обеспечивают, чтобы ни один Член не остался без внимания.
La OMM en el siglo XXI
La reestructuración de la Organización mejorará su participación activa a nivel regional y el desarrollo de capacidad. En nuestra respuesta a la necesidad creciente de conocimientos técnicos sobre el tiempo, el clima y el agua, las disposiciones de la reforma velan por que ninguno de los Miembros de la OMM se quede atrás.
L’OMM au XXIe siècle
Cette restructuration permettra à l’Organisation de s’engager plus résolument sur le front régional et de développer les capacités des Régions. En s’attachant à répondre par cette réforme à la demande mondiale de savoir-faire dans les domaines du temps du climat et de l’eau, l’OMM veillera à n’oublier aucun de ses Membres.
WCDMP, 85. Ninth Seminar for Homogenization and Quality Control in Climatological Databases and Fourth Conference on Spatial Interpolation Techniques in Climatology and Meteorology
In this paper we try to summarize the main topics of homogenization, quality control and spatial interpolation.
GOES-R Series Faculty Virtual Course: Geostationary Lightning Mapper
In this webinar recording Scott Rudlosky and Geoffrey Stano discuss and demonstrate the capabilities of the GOES-R/16 Geostationary Lightning Mapper (GLM) in both operational and research applications. You will learn how the GLM, the first lightning mapper in geostationary orbit, differs from land-based lightning detection. The presenters summarize important processes known as lightning events, group, flashes, and lightning jumps and show products that illustrate the location and areal extent of lightning, and its evolution in cloud systems. With this information you should be able to integrat ...
GOES-R Series Faculty Virtual Course: Multispectral RGB Composites
In this webinar recording Dr. Emily Berndt and Dr. Michael Folmer discuss the capabilities of the GOES-R/16 Red-Green-Blue (RGB) composites. Multispectral or RGB composites are qualitative, false color images designed to enhance specific features in the atmosphere that are important to forecasters, aviators, mariners, and emergency response officials. RGB composites have been enthusiastically integrated into forecast operations because of their ability to highlight the presence and evolution of important forecast phenomena. This presentation details the development of RGB composites and provid ...
Using Climatology in Forecasting Convection in West and Central Africa
This case-study lesson provides an opportunity to apply the information in the ASMET lesson “Satellite-Derived Climatology Products for Monitoring Convection Over West and Central Africa” to a case that occurred over West and Central Africa in June 2014. It demonstrates how to integrate climatology information with satellite, global instability indices (GII), and NWP data when convection is forecast to occur.
Using the Local Climate Analysis Tool (LCAT) for Water Resilience Decisions
This lesson offers users of climate information a demonstration of the utility of the Local Climate Analysis Tool (LCAT) for water resources applications. The training follows a NOAA Climate Resilience Toolkit case study in Tampa, Florida, and illustrates how LCAT analyses can be used to inform the steps to climate resilience outlined in the Toolkit. This text-based, interactive lesson will be accessible to anyone using LCAT for water resources decision-making, though will be most useful to those with some familiarity with drought/water resources questions and information needs. Some backgroun ...
Forecasting Aviation Convective Impacts with INSITE
The National Weather Service (NWS) has developed the INSITE tool (INtegrated Support for Impacted air-Traffic Environments) to improve NWS convective impact forecasts by providing functionality that enables forecasters to include more precise impact areas in aviation convective weather forecast products. The tool lets forecasters identify potential constraints to the National Airspace System by combining forecast weather and air-traffic data. Improved convective weather forecast products can reduce delays in air-traffic and increase efficiency in the National Airspace System (NAS). In this 45- ...
GOES-R Series Faculty Virtual Course: RapidScan Imaging
In this webinar recording, Dr. Dan Lindsey presents GOES-16/GOES-R 30-second and 1-minute rapid scan imagery to demonstrate unprecedented views of convection, wildfire, storm intensification, and other quickly-evolving features. GOES-16 rapid scan also enables cloud and feature tracking in and around tropical cyclones. The webinar includes examples of how rapid scan sectors may be prioritized and selected by the National Weather Service. Instructions about how to obtain and use archived data are also provided. This is a recorded webinar presented by an instructor at his home institution. Audio ...
GOES-16 Case Exercise: 8 May 2017 Colorado Hail Event
GOES-16, the first satellite in the GOES-R series, launched in November 2016 and now provides 16 multispectral bands of satellite data, including CONUS scans every five minutes, with 0.5 kilometer visible imagery resolution and 2.0 km longwave infrared resolution. This lesson harnesses GOES-16’s increased temporal and spatial resolutions to identify convective development and intensity signatures on traditional longwave IR and visible band imagery, and compares the experience to using legacy GOES products. The lesson is geared toward early-career forecasters, those forecasters wanting more exp ...
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