The Forecast Process: Using the Forecast Funnel

The University Corporation for Atmospheric Research, 2019

This lesson was developed by meteorologist, Dr. Mick Pope, with sponsorship from the Australian Bureau of Meteorology (BoM). The lesson is a somewhat broad-brush review of the overall forecast process, but with specific application of the forecast funnel approach as used by Australia's Bureau of Meteorology (BoM). The forecast process components include decision support and communication, use of numerical weather prediction, and applying the forecast funnel approach. The forecast funnel is described in detail, along with the forecaster time pyramid, and it is applied using a BoM forecast polic ...

English

 The Forecast Process: Using the Forecast Funnel

 Available online: https://www.meted.ucar.edu/training_module.php?id=10004

Published by: The University Corporation for Atmospheric Research ; 2019

This lesson was developed by meteorologist, Dr. Mick Pope, with sponsorship from the Australian Bureau of Meteorology (BoM). The lesson is a somewhat broad-brush review of the overall forecast process, but with specific application of the forecast funnel approach as used by Australia's Bureau of Meteorology (BoM). The forecast process components include decision support and communication, use of numerical weather prediction, and applying the forecast funnel approach. The forecast funnel is described in detail, along with the forecaster time pyramid, and it is applied using a BoM forecast policy example.

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 ; North Atlantic Oscillation (NAO) ; Jet stream ; Rossby Waves ; Outgoing longwave radiation (OLR) ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists Add tag

No review, please log in to add yours !

Overview of Watershed and Channel Sedimentation

The University Corporation for Atmospheric Research, 2015

This lesson provides an overview of the primary influences of watershed and channel sedimentation. In a short narrated portion of the lesson, we explore a section of the Rio Grande watershed and channel in New Mexico using Google Earth imagery, river profiles, and graphic animations. We highlight features of the upland catchments, the river channel, and the Elephant Butte Reservoir. We then demonstrate how environmental factors (climate, geography, land use changes, reservoirs) impact the supply and movement of sediments for the Rio Grande and other rivers. The focus is on the three primary pr ...

English

 Overview of Watershed and Channel Sedimentation

 Available online: https://www.meted.ucar.edu/training_module.php?id=1123

Published by: The University Corporation for Atmospheric Research ; 2015

This lesson provides an overview of the primary influences of watershed and channel sedimentation. In a short narrated portion of the lesson, we explore a section of the Rio Grande watershed and channel in New Mexico using Google Earth imagery, river profiles, and graphic animations. We highlight features of the upland catchments, the river channel, and the Elephant Butte Reservoir. We then demonstrate how environmental factors (climate, geography, land use changes, reservoirs) impact the supply and movement of sediments for the Rio Grande and other rivers. The focus is on the three primary processes in sedimentation: generation, transport, and deposition. The lesson then addresses natural climate and weather influences along with some observed and projected trends associated with climate change.

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 change ; Tropical cyclone ; Drought ; Global warming ; Climate projection ; River ; Irrigation ; Wildfire ; Flash flood ; Sedimentation ; Runoff ; Evaporation ; Erosion ; North Atlantic Oscillation (NAO) ; La Niña ; Climate services ; Agriculture ; Lesson/ Tutorial ; Hydraulic ; Competencies for Provision of Climate Services Add tag

No review, please log in to add yours !

Ensemble Simulations of a Nonlinear Barotropic Model for the North Atlantic Oscillation

Atmospheric and Oceanic Science Letters, Volume 3 Number 5. Zhang Dong-Bin; Jin Fei-Fei; Li Jian-Ping; et al. - Science Press, 2010

A numerical ensemble-mean approach was employed to solve a nonlinear barotropic model with stochastic basic flows to analyze the nonlinear effects in the formation of the North Atlantic Oscillation (NAO). The nonlinear response to external forcing was more similar to the NAO mode than the linear response was, indicating the importance of nonlinearity. With increasing external forcing and enhanced low-frequency anomalies, the effect of nonlinearity increased. Therefore, for strong NAO events, nonlinearity should be considered.

English

[article] 

Ensemble Simulations of a Nonlinear Barotropic Model for the North Atlantic Oscillation

  Available online: http://www.iapjournals.ac.cn/aosl/ch/reader/view_abstract.aspx?file_no=AOSL10052

Dong-Bin Zhang ; Fei-Fei Jin ; Jian-Ping Li ; Rui-Quiang Ding

in Atmospheric and Oceanic Science Letters > Volume 3 Number 5 (16 September 2010) . - p.277-282

A numerical ensemble-mean approach was employed to solve a nonlinear barotropic model with stochastic basic flows to analyze the nonlinear effects in the formation of the North Atlantic Oscillation (NAO). The nonlinear response to external forcing was more similar to the NAO mode than the linear response was, indicating the importance of nonlinearity. With increasing external forcing and enhanced low-frequency anomalies, the effect of nonlinearity increased. Therefore, for strong NAO events, nonlinearity should be considered.

Language(s): English

Format: Digital (Free), Hard copy

Tags: Meteorology ; North Atlantic Oscillation (NAO) ; Research ; Numerical simulation Add tag

[article] 

No review, please log in to add yours !