Topics


![]()
![]()
PWS, 18. Principes Directeurs Pour la Communication Relative à l'incertitude des prévisions
Organisation météorologique mondiale (OMM); Martin Claire; Cacic Ivan; et al. - OMM, 2008 (OMM/DT (FR)-No. 1422)Il est essentiel d’indiquer aux utilisateurs l’incertitude des prévisions. Cela leur permet de prendre de meilleures décisions fondées sur la fiabilité de ces prévisions, et cela permet aussi aux prévisionnistes de tenir compte de l’attente des utilisateurs en la matière. Les présents principes directeurs portent sur la communication relative à l’incertitude des prévisions. S’ils traitent des sources de cette incertitude et abordent des disciplines scientifiques connexes (prévisions probabilistes ou ensembles de prévision numérique, par exemple), tel n’est pas leur objet. Celui-ci est plutôt d ...
![]()
Available online: Full text
Organisation météorologique mondiale ; Claire Martin ; Ivan Cacic ; Ken Mylne ; José Rubiera ; Chen Dehui ; Gu Jiafeng ; Tang Xu ; Munehiko Yamaguchi ; Andre Kamnga Foamouhoue ; Eugene Poolman ; John Guiney ; Haleh Kootval
Published by: OMM ; 2008Il est essentiel d’indiquer aux utilisateurs l’incertitude des prévisions. Cela leur permet de prendre de meilleures décisions fondées sur la fiabilité de ces prévisions, et cela permet aussi aux prévisionnistes de tenir compte de l’attente des utilisateurs en la matière. Les présents principes directeurs portent sur la communication relative à l’incertitude des prévisions. S’ils traitent des sources de cette incertitude et abordent des disciplines scientifiques connexes (prévisions probabilistes ou ensembles de prévision numérique, par exemple), tel n’est pas leur objet. Celui-ci est plutôt de déterminer comment les Services météorologiques et hydrologiques nationaux (SMHN) intègrent les informations sur l’incertitude des prévisions dans leurs services de prévisions hydrométéorologiques et quels sont les meilleurs moyens de transmettre ces informations aux usagers.
Collection(s) and Series: OMM/DT (FR)- No. 1422; PWS- No. 18
Language(s): French; Other Languages: English, Spanish
Format: Digital (Free), Hard copy (ill., charts, maps)Tags: Information management ; Weather service ; Data dissemination ; Forecast uncertainty ; Service Delivery Division (SDD)
Add tag
Translation fromNo review, please log in to add yours !
![]()
![]()
2007/No. 4 - August 2007 - Weather forecasting research for major events
is an issue of MeteoWorld. WMO, 2007Contains:
- Weather forecasting research for major events
- Andean agroclimatic project
- Use of ocean buoys and data
- Climate monitoring
- Weather, climate and water service delivery
- El Niño/ La Niña update
- Hydrological observations
- Biodiversity
[number or issue]Contains:
- Weather forecasting research for major events
- Andean agroclimatic project
- Use of ocean buoys and data
- Climate monitoring
- Weather, climate and water service delivery
- El Niño/ La Niña update
- Hydrological observations
- BiodiversityLanguage(s): English; Other Languages: French
Format: Digital (Free), Hard copyTags: Weather forecasting
Add tag
is an issue of[number or issue]No review, please log in to add yours !
![]()
![]()
2007/N° 4 - Août 2007 - La recherche en prévision météorologique au service des grandes manifestations
is an issue of MétéoMonde. OMM, 2007
[number or issue]2007/N° 4 - Août 2007 - La recherche en prévision météorologique au service des grandes manifestations
![]()
Language(s): French; Other Languages: English
Format: Digital (Free), Hard copyTags: Weather forecasting
Add tag
is an issue of[number or issue]No review, please log in to add yours !
![]()
![]()
Microwave Remote Sensing Resources
This module provides background information on microwave remote sensing with polar-orbiting satellites. It reviews coverage, orbits, and data latency issues of current operational and selected research satellites and notes improvements expected in the NPP and NPOESS era. The module contrasts active vs. passive remote sensing, discusses advantages and limitations of different microwave instrument scanning strategies, and addresses viewing geometry with implications for spatial resolution and swath coverage. Finally, it offers a review of the microwave spectrum and special characteristics of mic ...
Available online: https://www.meted.ucar.edu/training_module.php?id=260
Published by: The University Corporation for Atmospheric Research ; 2007
This module provides background information on microwave remote sensing with polar-orbiting satellites. It reviews coverage, orbits, and data latency issues of current operational and selected research satellites and notes improvements expected in the NPP and NPOESS era. The module contrasts active vs. passive remote sensing, discusses advantages and limitations of different microwave instrument scanning strategies, and addresses viewing geometry with implications for spatial resolution and swath coverage. Finally, it offers a review of the microwave spectrum and special characteristics of microwave energy important for understanding microwave imagery and derived products. This module takes about 1 hour to complete.
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 ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
Add tag
No review, please log in to add yours !
![]()
![]()
An Introduction to Ensemble Streamflow Prediction
The “Introduction to Ensemble Streamflow Prediction” module provides basic information on probabilistic streamflow forecasting. In this webcast, Dr. Richard Koehler, the National Hydrologic Sciences Training Coordinator for NOAA's NWS, presents information about the types of organizations that might use probabilistic streamflow forecasts as well as foundation concepts and background for ESP methods. The module begins with a brief review of hydrologic models including deterministic, stochastic, and scenario-based approaches. It then provides an overview of time-series approaches including a sum ...
Available online: https://www.meted.ucar.edu/training_module.php?id=246
Published by: The University Corporation for Atmospheric Research ; 2007
The “Introduction to Ensemble Streamflow Prediction” module provides basic information on probabilistic streamflow forecasting. In this webcast, Dr. Richard Koehler, the National Hydrologic Sciences Training Coordinator for NOAA's NWS, presents information about the types of organizations that might use probabilistic streamflow forecasts as well as foundation concepts and background for ESP methods. The module begins with a brief review of hydrologic models including deterministic, stochastic, and scenario-based approaches. It then provides an overview of time-series approaches including a summary of traditional techniques such as flood frequency, flood analysis, statistical analysis, and trend analysis. Finally, the module presents the basics of ESP techniques including an explanation of its strengths, weaknesses, and appropriate application. The module also provides guidance on how to interpret ensemble forecast products.
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: Hydrology ; Forecast uncertainty ; Lesson/ Tutorial
Add tag
No review, please log in to add yours !
![]()
![]()
![]()
Deformation Zone Analysis
The quick analysis of deformation zones provides an overview of system-relative atmospheric circulations. Since deformation is a primary factor in frontogenesis and frontolysis, understanding of these system-relative circulations is crucial to the diagnosis of atmospheric processes and weather prediction. This module is part of the series: "Dynamic Feature Identification: The Satellite Palette".
Permalink![]()
![]()
![]()
Wave Ensembles in the Marine Forecast Process
The NCEP Marine Modeling and Analysis Branch (MMAB) Ensemble Global Ocean Wave Forecast System (EGOWaFS) provides five-day forecasts of global winds, wind wave and swell conditions in probabilistic terms. This product became available early in 2007 both through an NCEP non-operational web page and, for raw data, through FTP for use by marine forecasters at NWS WFOs and other locations. The data from the EGOWaFS can be used in a number of ways, including:* As input to probabilistic marine forecasts for wind waves and swell* As input to a local wave ensemble, such as Simulated Waves Nearshore (S ...
Permalink![]()
![]()
![]()
Deformation Zone Diagnosis
Following an analysis of the main features of a deformation zone, the diagnosis of temporal and spatial changes in these features can be used to deduce underlying meteorological processes and their progression. In turn, this knowledge can then be used in the forecast process to adjust the forecast accordingly. This module takes 35-45 minutes to complete. It is part of the series: "Dynamic Feature Identification: The Satellite Palette".
Permalink![]()
![]()
![]()
Real-Time Mesoscale Analysis (RTMA): What is the NCEP RTMA and how can it be used?
The NCEP Real-Time Mesoscale Analysis (RTMA), provides current conditions in digital form on the NWS National Digital Forecast Database (NDFD) 5-km grid. This product was upgraded in early July 2007 to the point where its use by forecast offices is now encouraged for situational awareness, creating short-term forecast grids, and evaluating recent forecast grids and forecast bias. Unique to the RTMA is an uncertainty or error estimate for some of its analysis parameters. These uncertainty estimates perhaps could be used to determine when a forecast is “good enough”. This Webcast discusses why t ...
Permalink![]()
![]()
![]()
CAS/JSC WGNE Report, 22. Report of the twenty second session of the CAS/JSC Working Group on Numerical Experimentation
World Meteorological Organization (WMO) ; International Council for Science (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 2007 (WMO/TD-No. 1411)
Permalink![]()
![]()
![]()
Agricultural Meteorology Programme (AgMP), 102. Use Of Seasonal Forecasts And Climate Prediction In Operational Agriculture
World Meteorological Organization (WMO) ; Kanga A.; Magrin Graciela O.; et al. - WMO, 2007 (WMO/TD-No. 1344)The Commission for Agricultural Meteorology (CAgM) at its 12 th Session held in Accra, Ghana, 18-26 February 1999, established the Working Group on the Use of Seasonal Forecasts Climate Prediction in Operational Agriculture. The Terms of Reference of the Working Group are:
a) In liaison with the CLIPS project, review and summarise the current advances in seasonal forecasts and climate prediction and the products and services relevant to agriculture that are becoming available based on the forecasts
b) To survey and summarise, using appropriate case studies, the current applicat ...
Permalink![]()
![]()
![]()
PWS, 16. Supplement to Guidelines on Biometeorology and Air Quality Forecasts
This document has been produced as a supplement to “Guidelines on Biometeorology and Air Quality Forecasts” WMO/TD No. 1184. It addresses the specific aspects of human biometeorology related to human disease, which was not included in that publication. It should be consulted in conjunction with WMO/TD No. 1184. The guidelines are intended to provide useful advice to National Meteorological and Hydrological Services (NMHSs) on methods of incorporating air quality forecasts and biometeorological information into the suite of products and services offered to the public. The Public We ...
Permalink![]()
![]()
![]()
WWRP/THORPEX, 7. Second THORPEX International Science Symposium (STISS) : Programme & Extended Abstracts
Permalink![]()
![]()
![]()
Improved seasonal climate forecasts of the South Asian summer monsoon using a suite of 13 coupled ocean-atmosphere models
Several modeling studies have shown that the south Asian monsoon region has the lowest skill for seasonal forecasts compared with many other domains of the world. This paper demonstrates that a multimodel synthetic superensemble approach, when constructed with any set of coupled atmosphere-ocean models, can provide improved skill in seasonal climate prediction compared with single-member models or their ensemble mean for the south Asian summer monsoon region. However, performance of the superensemble tends to improve when a better set of input member models are used. As many as 13 state-of-the ...
Permalink![]()
![]()
![]()
Microwave Remote Sensing: Clouds, Precipitation, and Water Vapor
This module provides an introduction to polar-orbiting-satellite-based microwave remote sensing products that depict moisture and precipitation in the atmosphere. The module begins with definitions and descriptions of total precipitable water and cloud liquid water products, contrasting each with more familiar infrared water vapor and window channel products. This is followed by an overview of microwave precipitation estimation and a discussion of how polar-satellite products compare with those from geostationary satellites and ground-based radar. A series of case examples highlights potential ...
Permalink![]()
![]()
![]()
An Introduction to the EUMETSAT Polar System
This Webcast provides an overview of the EUMETSAT Polar System (EPS), Europe's first dedicated operational polar-orbiting weather satellite program. EPS contributes to the Initial Joint Polar System (IJPS) under a cooperation agreement between EUMETSAT and NOAA to provide and improve operational meteorological and environmental forecasting and global climate monitoring services worldwide. The highly innovative features implemented with EPS include high-level sounding performance and enhanced data streams that further improve the capabilities of advanced NWP systems. The Webcast takes one hour ...
Permalink![]()
![]()
![]()
Vorticity Maxima and Comma Patterns
Vorticity maxima signatures are very common and indicate areas of ascending circulation and atmospheric forcing. The correct placement of vorticity maxima is vital to the placement of related dynamic features such as the axis of maximum winds and deformation zones. This module is part of the series “Dynamic Feature Identification: The Satellite Palette”.
Permalink![]()
![]()
![]()
Satellite Meteorology: Introduction to Using the GOES Sounder
This module, adapted for the Web from the CD-ROM released in 1998, reviews GOES sounder characteristics, data products, and applications concurrent with the GOES I(8)-P satellites. Topics covered include the electromagnetic spectrum and sounder channel selection, weighting functions for temperature and moisture determination, and assessment of GOES sounder products. Sample imagery and products are provided along with several short case examples that demonstrate how these products are beneficial to meteorological analysis and forecasting applications.
Permalink![]()
![]()
![]()
Dynamic Feature Identification: The Satellite Palette
This series addresses the use of satellite imagery and focuses attention on the identification of dynamic features using high-resolution satellite imagery with NWP verification. The series will eventually include more than 20 feature presentations on topics such as comma clouds, jet streaks, deformation zones, surface features, convection, and blocking. Each feature presentation includes interactive identification exercises, analysis and diagnosis, conceptual models, and forecast implications.
Permalink![]()
![]()
![]()
Lectures on Radar Applications in Mesoscale Meteorology
This website provides access to the streaming presentations and PowerPoint source files for the 11 lectures delivered during the AMS Educational Forum “A Primer on Radar Analysis Techniques Used in Mesoscale Meteorology” held on 23 October 2005 in Albuquerque, NM. The presentations discuss how many advanced techniques for the analysis of meteorological radar data can be used to improve understanding of the structure, dynamics, and evolution of mesoscale circulations. The Forum was organized into four sections: 1) Microphysical Characterization of Precipitation Systems Using Dual-Polarization R ...
Permalink![]()
![]()
![]()
Using the WRF Mesoscale Model
This module provides insights on how to best use WRF mesoscale model guidance in the forecast process. Using two cases in southwest Asia where AFWA WRF is currently in use, it examines improvements offered by the WRF for forecasting fronts, topographic impacts, precipitation type, and hazards to aviation. The module also discusses some mesoscale model limitations, and offers strategies for transitioning between using mesoscale and global NWP guidance for medium-range forecasts, even when the models differ significantly.
Permalink![]()
![]()
![]()
Vorticity Minima and Anticomma Patterns
Vorticity minima signatures are common features of the atmosphere. They indicate areas of descending circulation and atmospheric forcing and can be used to diagnose dynamic features such as the axis of maximum winds and deformation zones. This module provides insight on the analysis of these dynamic atmospheric features. This module is part of the series: "Dynamic Feature Identification: The Satellite Palette".
Permalink![]()
![]()
![]()
CAS/JSC WGNE Report, 21. Report of the twenty first session of the CAS/JSC Working Group on Numerical Experimentation
World Meteorological Organization (WMO) ; International Council for Science (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 2006 (WMO/TD-No. 1348)
Permalink![]()
![]()
![]()
CAgM Report, 102. Use Of Seasonal Forecasts And Climate Prediction In Operational Agriculture
World Meteorological Organization (WMO) ; Kanga A.; Magrin Graciela O.; et al. - WMO, 2006 (WMO/TD-No. 1344)Report of the Joint Rapporteurs on the Impact of Agrometeorological Advisories and Information on Operational Aspects of Forestry Planning, with Emphasis on Wildland Fire Ecology, Including the Use of Prescribed Fire in Rangelands and Forests Preventing and Combating Wildfires in Forests and Rangelands.
Permalink![]()
![]()
![]()
Joint WMO/ IOC for Oceanographic and Marine Meteorology (JCOMM), 29. Eighth International Workshop on Wave Hindcasting and Forecasting
World Meteorological Organization (WMO) ; Intergovernmental Oceanographic Commission (IOC) - WMO, 2006 (WMO/TD-No. 1319)
Permalink![]()
![]()
![]()
Towards improved seasonal rainfall forecast over Malawi : research report for WMO Class II 2005 to 2006
World Meteorological Organization (WMO) ; Institute for Meteorological Training and Research (IMTR) - IMTR, 2006Extreme climate events such as floods and droughts have devastating socio-economic impacts associated with food shortages, famine, lack of energy, water, shelter and other major basic needs. Because these events are recurrent in nature, effective, accurate and timely prediction and early warning of these events can enable Governments and other stakeholders to put into motion appropriate actions for mitigating or alleviating their adverse impacts. In this study, the relationship between seasonal rainfall and global Sea Surface Temperature anomalies was examined. The analysis was based primarily ...
Permalink![]()
![]()
![]()
Seasonal prediction of sea surface temperatures anomalies using a suite of 13 coupled atmosphere-ocean models
Improved seasonal prediction of sea surface temperature (SST) anomalies over the global oceans is the theme of this paper. Using 13 state-of-the-art coupled global atmosphere-ocean models and 13 yr of seasonal forecasts, the performance of individual models, the ensemble mean, the bias-removed ensemble mean, and the Florida State University (FSU) superensemble are compared. A total of 23 400 seasonal forecasts based on 1-month lead times were available for this study. Evaluation metrics include both deterministic and probabilistic skill measures, such as verification of anomalies based on mode ...
Permalink![]()
![]()
![]()
N°30 - Janvier 2006 - Piloter la prévision numérique: un nouveau défi
is an issue of Atmosphériques. Météo France, 2006
PermalinkPermalinkPermalink![]()
![]()
![]()
Advances in Microwave Remote Sensing: Ocean Wind Speed and Direction
This Webcast covers the ocean surface wind retrieval process, the basics of microwave polarization as it relates to wind retrievals, and several operational examples. Information on the development of microwave sensors used to retrieve ocean surface wind speed and the ocean surface wind vector (speed and direction) is also included.
Permalink![]()
![]()
![]()
Introduction to Ensemble Prediction
This webcast is a shorter companion to the Ensemble Prediction Explained module, focusing more directly on immediate operational needs. Introductory content includes the role of ensemble forecasts, presentation of basic ensemble forecasting terms, and discussion of how ensemble prediction systems (EPSs) are created. The largest section is focused on common ensemble forecast products, including how they differ from traditional NWP products, how we interpret ensemble forecast products, the advantages and limitations of each product, how EPS products are verified, and how to use ensemble products ...
PermalinkPermalinkPermalink![]()
![]()
![]()
CAS/JSC WGNE Report, 20. Report of the twentieth session of the CAS/JSC Working Group on Numerical Experimentation
World Meteorological Organization (WMO) ; International Council for Science (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 2005 (WMO/TD-No. 1297)
Permalink![]()
![]()
![]()
WWW. Proceedings of the WMO Workshop on the third WMO Workshop on the impact of various observing systems on numerical weather prediction
At this Third WMO Workshop the key recent results in all these areas were presented and discussed. The Workshop’s agenda covered three major sections including Global Forecast Impact Studies, Regional Aspects of Impact Studies, Observation Targeting Studies and Observation Network Design Studies, where 30 lectures were presented. Almost 50 experts representing all major NWP and other centres active in the area of observing system impact studies, as well as representatives of the CGC Management Group and the WMO Secretariat attended the Workshop. The programme of the Workshop and the list of ...
Permalink![]()
![]()
![]()
WWRP/THORPEX, 04. The Observing System Research and Predictability experiment (THORPEX) : International Research Implementation Plan
Permalink![]()
![]()
![]()
Polar Satellite Products for the Operational Forecaster: Microwave Analysis of Tropical Cyclones
This module introduces forecasters to the use of microwave image products for observing and analyzing tropical cyclones. Microwave data from polar-orbiting satellites is crucial to today’s operational forecasters, and particularly for those with maritime forecasting responsibilities where in situ observations are sparse. This module includes information on storm structure and techniques for improved storm positioning using the 37 and 85-91 GHz channels from several satellite sensors. Information on current sensors and on the product availability in the NPOESS era is also presented.
Permalink![]()
![]()
![]()
Severe Convection: Mesoscale Convective Systems
Mesoscale convective systems occur worldwide and year-round and are accompanied by the potential for severe weather and flooding. This lesson describes typical system evolution by examining squall line, bow echo, and MCC characteristics throughout their life cycles. This lesson has less emphasis on the physical processes controlling MCS structure and evolution than our previously released Mesoscale Convective Systems: Squall Lines and Bow Echoes lesson. Instead, this newly updated lesson includes more material on tropical squall lines, MCC's, and on NWP’s ability to predict convective systems. ...
Permalink![]()
![]()
![]()
Blowing Snow: Baker Lake, Nunavut, Canada 04-10 February 2003
This case exercise takes an in-depth look at a blowing snow event in the northern mainland of Canada. The case addresses specific low-level wind and snow conditions. Model data, satellite imagery, and observations are provided for assessing the potential for blowing snow and blizzard conditions as the event unfolds.
Permalink![]()
![]()
![]()
Remote Sensing of Ocean Wind Speed and Direction: An Introduction to Scatterometry
This Webcast features Dr. Michael Freilich (Oregon State University, principal investigator on the QuikSCAT project for NSF) introducing and discussing the fundamentals of scatterometry and how they apply to the SeaWinds instrument on QuikSCAT. Dr. Freilich also describes how the model function is used to derive wind speed and direction from multiple collocated measurements.
Permalink![]()
![]()
![]()
Ensemble Forecasting Explained
This module, the latest in our series on Numerical Weather Prediction, covers the theory and use of ensemble prediction systems (EPSs). The module will help forecasters develop an understanding of the basis for EPSs, the skills to interpret ensemble products, and strategies for their use in the forecast process. It contains six sections: an Introduction that briefly presents background theory; Generation, which describes how ensemble systems are constructed; Statistical Concepts, which provides a brief refresher on knowledge required for ensemble product interpretation; Summarizing Data, which ...
Permalink![]()
![]()
![]()
Mountain Waves and Downslope Winds
Mountain waves form above and downwind of topographic barriers and frequently pose a serious hazard to mountain aviation because of strong-to-extreme turbulence. This foundation module describes the features of mountain waves and explores the conditions under which they form. Like other foundation modules in the Mesoscale Primer, this module starts with a forecast scenario and concludes with a final exam. Rich graphics, audio narration, and frequent interactions enhance the presentation.
Permalink![]()
![]()
![]()
CAS/JSC WGNE Report, 19. Report of nineteenth session of the CAS/JSC Working Group on Numerical Experimentation
World Meteorological Organization (WMO) ; International Council for Science (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 2004 (WMO/TD-No. 1252)
Permalink![]()
![]()
![]()
Current Statements of Guidance Regarding how well Satellite and in situ Sensor Capabilities Meet WMO Users Requirements in Ten Application Areas
PermalinkPermalinkPermalink![]()
![]()
![]()
Weather, climate and water in the information age
The spectacular achievements made in weather forecasting, climate prediction and water assessments over the past few years have been underpinned by progress in telecommunications and information technologies. This booklet looks at these technologies and how they are applied for human benefit in the areas of weather forecasting, climate projections, natural disaster preparedness-and mitigation, water management, the environment, human health and energy.
Permalink![]()
![]()
![]()
Accelerating improvements in the accuracy of one-day to two-week high-impact weather forecasts for the benefit of society, the economy and the environment : THORPEX
This brochure provides a general overview of the Thorpex programme, including its objectives, outcomes, structure and membership. Thorpex demonstration projects attempt to increase the number of positive social and economic outcomes that result from the implementation of forecasting tools and techniques.
Permalink![]()
![]()
![]()
WWRP/THORPEX, 03. International core steering committee for THORPEX : final report
The CAS International Core Steering Committee (ICSC) met in Montreal, Canada on 2 – 3 December 2004. Meteorological Service of Canada hosted the session. ICSC proceeded with the work assigned by the CAS, the WMO Executive Council and the Fourteenth World Meteorological Congress. This included review of the progress in planning and further development of THORPEX:
a Global Atmospheric Research Programme on international level and at the regions, financial and administrative matters related to the THORPEX management, International Programme Office (IPO) and Trust Fund. Recognizing THORPE ...
PermalinkPermalinkPermalinkPermalinkPermalinkPermalink![]()
![]()
![]()
Ускорение темпов повышения точности прогнозов погоды со значительными последствиями на срок от одного дня до двух недель : ТОРПЭКС
Permalink![]()
![]()
![]()
Predicir cada vez mejor las condiciones meteorológicas devastadoras, con una antelación de entre un día y dos semanas, en beneficio de la sociedad, la economía y el medio ambiente : THORPEX
Permalink![]()
![]()
![]()
Accélérer le rythme des améliorations apportées à la prévision à échéance de 1 à 14 jours des phénomènes météorologiques à fort impact, pour le plus grand profit de la société, de l'économie et de l'environnement : THORPEX
PermalinkPermalinkPermalinkPermalink![]()
![]()
![]()
Dust Enhancement Techniques Using MODIS and SeaWiFS
The Dust Enhancement Techniques Using MODIS and SeaWiFS Webcast features Dr. Steven Miller of the Naval Research Laboratory (NRL) in Monterey, California and takes about one hour to complete. Dr. Miller explains two techniques for detecting blowing dust using multispectral satellite imagery from the MODIS and SeaWiFS instruments. He also provides guidelines for the best uses of these techniques. The Webcast includes several recent operational examples from southwest Asia. This presentation was originally given at a workshop hosted by NRL in April, 2003.
Permalink![]()
![]()
![]()
Should Synopticians Worry About Climate?
This lecture was presented during the ongoing workshops on Climate Variability that are part of the NWS Climate Professional Development Series. During the presentation, Dr. Sardeshmukh presents statistical evidence that demonstrates the impact that climate variability has on weather. The Webcast has an accompanying bibliography and climate glossary.
Permalink![]()
![]()
![]()
WCRP Informal/Series Report, 9/2003. Summary report of a Joint meeting of the International workshop on sea-ice extent and the global climate system and the Mini-conference on long-term variability of the Barents sea region
World Meteorological Organization (WMO) ; International Council of Scientific Unions (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 2003
PermalinkPermalinkPermalinkPermalink![]()
![]()
![]()
The Balancing Act of Geostrophic Adjustment
This 7-page module provides a primer on geostrophic adjustment concepts. It discusses their application for understanding and forecasting real weather features, interpreting model forecasts, and recognizing the type and duration of impact that observations exert on the model forecast. The module also includes an interactive Exercises section.
Permalink![]()
![]()
![]()
Feature Identification Exercises: Clouds, Snow, and Ice Using MODIS
This module consists of four exercises where users identify surface features, distinguish clouds from snow on the ground, and determine cloud phase using multispectral analysis. The module also includes an overview of multispectral techniques available on many operational and research polar-orbiting satellites. A page with links to real-time polar-orbiting data and information is also included.
Permalink![]()
![]()
![]()
Remote Sensing of Land, Oceans, and Atmosphere with MODIS
This Webcast is based on presentations given by Dr. W. Paul Menzel at several conferences. It is approximately 60 minutes in length and introduces the MODIS instrument on the Terra satellite. Dr. Menzel begins by providing background on MODIS channel selection and instrument calibration. He continues with a variety of examples that include both climatological and meteorological applications, including high-resolution data and derived-product imagery. The examples are divided into land, ocean, and atmosphere applications. Dr. Menzel concludes with a discussion of the new direct-broadcast capabi ...
Permalink![]()
![]()
![]()
Ten Common NWP Misconceptions
This lesson introduces forecasters to ten of the most commonly encountered or significant misconceptions about NWP models. This list of ten misconceptions includes issues surrounding data assimilation, model resolution, physical parameterizations, and post-processing of model forecast output.
Permalink![]()
![]()
![]()
Freezing and Melting, Precipitation Type, and Numerical Weather Prediction
This Webcast is based on a COMET classroom presentation by Dr. Gary Lackmann at the 2nd MSC Winter Weather Course held in Boulder, Colorado on 22 February 2002. Dr. Lackmann reviews the basic thermodynamics of freezing and melting and how operational models represent these processes. He also touches upon the biases that occur in the models by looking at examples of melting snow aloft, melting snow at the surface, freezing aloft (ice pellets), and freezing rain. Dr. Lackmann is a faculty member in the Department of Marine, Earth, and Atmospheric Sciences at North Carolina State University.
Permalink![]()
![]()
![]()
How Mesoscale Models Work
The goal of this training module is to help you increase your understanding of how mesoscale models work. Such understanding, in turn, can help you more efficiently and accurately evaluate model-generated forecast products.
Permalink![]()
![]()
![]()
Feature Identification Using Environmental Satellites
This Webcast, presented by Tom Lee of the Naval Research Laboratory, focuses on feature identification using a combination of high-resolution multispectral polar and geostationary satellite imagery products. The Webcast is made up of five short sections focus on a set of particularly challenging feature identification problems including: clouds over snow; contrails/thin cirrus; fires, hot spots, and smoke; blowing dust; snow, icebergs, and pack ice. Examples are included from Asia, Europe, and North America. A table summarizes suggested detection strategies for each phenomena type, based on av ...
PermalinkPermalinkPermalink![]()
![]()
![]()
GDPFS, 12. 2002 WWW technical progress report on the Global Data-processing and Forecasting System
1 CD-ROM
Permalink![]()
![]()
![]()
CAS/JSC WGNE Report, 18. Report of eighteenth session of the CAS/JSC Working Group on Numerical Experimentation
World Meteorological Organization (WMO) ; International Council for Science (ICSU) - WMO, 2002 (WMO/TD-No. 1173)
Permalink![]()
![]()
![]()
CAS/JSC WGNE Report, 17. Report of seventeenth session of the CAS/JSC Working Group on Numerical Experimentation
World Meteorological Organization (WMO) ; World Meteorological Organization (WMO) ; Intergovernmental Oceanographic Commission (IOC) - WMO, 2002 (WMO/TD-No. 1116)
Permalink![]()
![]()
![]()
WWW Technical report, 21. Commission for Basic Systems, OPAG on data processing and forecasting systems :proceedings of Workshop on Use of Ensemble Prediction, Beijing, 16-20 October 2000
PermalinkPermalinkPermalinkPermalink![]()
![]()
![]()
CAS/JSC WGNE Report, 16. Report of sixteenth session of the CAS/JSC Working Group on Numerical Experimentation, Bureau of Meteorology Research Centre
World Climate Research Programme (WCRP) ; International Council for Science (ICSU); World Meteorological Organization (WMO) ; et al. - WMO, 2001 (WMO/TD-No. 1076)
Permalink![]()
![]()
![]()
39 - February 2000 - Study on the objective forecasting techniques
is an issue of 気象研究所技術報告. Meteorological Research Institute, 2000
Permalink![]()
![]()
![]()
Techniques d’interprétation des produits de prévision numérique du temps pour la météorologie aéronautique (OMM-N° 770) : établies par le groupe de travail de l'utilisation de techniques modernes en météorologie aéronautique relevant de la Commission de météorologie aéronautique
This publication was deemed obsolete by the Commission for Aeronautical Meteorology at its sixteenth session (CAeM-16) (24–27 July 2018) and has therefore been discontinued.
Permalink![]()
![]()
![]()
Manual on instrumentation and operations for automatic weather stations for agrometeorological application
World Meteorological Organization (WMO) ; Institute of Agrometeorology and Environmental Analysis for Agriculture (IATA); Regional Meteorological Training Center (CNR) - WMO, 2000
PermalinkPermalinkPermalinkPermalinkPermalink![]()
![]()
![]()
Lectures presented at the forty-ninth session of the WMO Executive Council
Three lectures are presented: "Climate variability and food production", "New developments in satellite observation capability and their contribution to weather forecasting" and "The use of electronic media in public weather services".
Permalink![]()
![]()
![]()
Forecasting in the 21st century : Ninth IMO Lecture
This is the ninth in the series of IMO Lectures, which was presented at the Thirteenth World Meteorological Congress by G.A. McBean. This lecture presents a future of meteorology in general, and that of weather forecasting in the 21st century in particular.
Permalink![]()
![]()
![]()
Operational hydrology report (OHR), 46. Precipitation estimation and forecasting
This publication discusses a wide range of techniques which have been developed worldwide for measuring and forecasting precipitation. These range from point gauge measurements to methods based upon interpretation of indirect data obtained from space-based instrumentation.
Permalink![]()
![]()
![]()
GOOS, 86. Fifth session of the IOC/WMO/UNEP/ICSU Coastal Panel of the Global Ocean Observing System (GOOS)
World Meteorological Organization (WMO) ; United Nations Educational, Scientific and Cultural Organization (UNESCO); Intergovernmental Oceanographic Commission (IOC); et al. - UNESCO, 2000
Permalink![]()
![]()
![]()
GOOS, 82. Fourth session of the IOC/WMO/UNEP/ICSU Coastal Panel of the Global Ocean Observing System (GOOS)
World Meteorological Organization (WMO) ; United Nations Educational, Scientific and Cultural Organization (UNESCO); Intergovernmental Oceanographic Commission (IOC); et al. - UNESCO, 2000
Permalink![]()
![]()
![]()
Métodos de interpretación de los resultados de la predicción numérica del tiempo para la meteorología aeronáutica (OMM-N° 770) : por el Grupo de trabajo de la CMAe sobre aplicación de técnicas avanzadas en la meteorología aeronáutica
This publication was deemed obsolete by the Commission for Aeronautical Meteorology at its sixteenth session (CAeM-16) (24–27 July 2018) and has therefore been discontinued.
Permalink![]()
![]()
![]()
Methods of interpretating numerical weather prediction output for aeronautical meteorology (WMO-No. 770) : by the CAeM Working Group on Advanced techniques applied to aeronautical meteorology
This publication was deemed obsolete by the Commission for Aeronautical Meteorology at its sixteenth session (CAeM-16) (24–27 July 2018) and has therefore been discontinued.
This Technical Note details current methods of interpreting numerical weather prediction output from global, regional and mesoscale models for aeronautical meteorology. It also describes methods of forecasting weather elements by statistical processing and discusses the emergence of artificial intelligence techniques.
Permalink![]()
![]()
![]()
Polar Satellite Products for the Operational Forecaster (POES) Module 2: Microwave Products and Applications
This Web-based module is a component of the Integrated Sensor Training (IST) Professional Development Series (PDS) Professional Competency Unit #6-Satellite Data and Products. This module provides a closer look at the capabilities, products, and applications available to operational weather forecasting with the present suite of microwave instruments onboard both NOAA and DMSP satellites. If you wish, you may launch the module from this page.
Permalink![]()
![]()
![]()
Polar Satellite Products for the Operational Forecaster (POES) Module 1: POES Introduction
This Web-based module is a component of the Integrated Sensor Training (IST) Professional Development Series (PDS) Professional Competency Unit #6-Satellite Data and Products. Dr. Stan Kidder of the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University is the principal science advisor for this module with significant assistance from Dr. Gary Hufford (NWS Alaska Region). The module provides an overview of current polar satellite products and their applications in forecasting situations and also contains a summary of instruments currently in use and a short his ...
Permalink