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CAS/JSC WGNE Report, 25. Report of the twenty-fifth session of the CAS/JSC Working Group on Numerical Experimentation (WGNE)
World Meteorological Organization (WMO) ; International Council for Science (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 2010 (WMO/TD-No. 1524)
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Available online: http://www.wcrp-climate.org/documents/wgne25rpt.pdf
World Meteorological Organization (WMO) ; International Council for Science ; Intergovernmental Oceanographic Commission
Published by: WMO ; 2010Notes: Supporting numerical experimentation research activities of the: WMO/IOC/ICSU World Climate Research Programme, WMO World Weather Research Programme, WMO Global Atmosphere Watch Programme; and research links to Operational Weather And Climate Prediction
Collection(s) and Series: WMO/TD- No. 1524; CAS/JSC WGNE Report- No. 25
Language(s): English
Format: Digital (Free)Tags: Capacity development ; Atmosphere ; Numerical weather prediction ; World Climate Research Programme (WCRP) ; Commission for Atmospheric Sciences (CAS)
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WWRP, 05. WWRP 2010-5 - 5th WMO Symposium on data assimilation
Improving the combination of observations and dynamical models by data assimilation systems has underpinned many advances in our understanding of the natural environment, and forecasting ability. These improvements, coupled with the development of ever more powerful computers and more sophisticated communication systems such as the internet and the World Wide Web have also heightened expectations. As a result, society is looking for further significant benefits from applications of meteorology, oceanography and hydrology.World Meteorological Organization (WMO)
Event: 5th WMO Symposium on data assimilation (5-9 October 2009; Melbourne, Australia)
Published by: WMO ; 2010Improving the combination of observations and dynamical models by data assimilation systems has underpinned many advances in our understanding of the natural environment, and forecasting ability. These improvements, coupled with the development of ever more powerful computers and more sophisticated communication systems such as the internet and the World Wide Web have also heightened expectations. As a result, society is looking for further significant benefits from applications of meteorology, oceanography and hydrology.
Collection(s) and Series: WMO/TD- No. 1549; WWRP- No. 05
Language(s): English
Format: CD, DVD, Digital (Free), Hard copyTags: Information management ; Weather forecasting ; Data assimilation ; World Weather Research Programme (WWRP) ; WWRP 2010-5
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Published by: WMO ; 2010
Collection(s) and Series: WMO/TD- No. 1531; WWRP/THORPEX- No. 14
Language(s): English
Format: Digital (Free), Hard copy (ill., charts)Tags: Observations ; Weather service ; Capacity development ; Weather forecasting ; World Weather Research Programme (WWRP)
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Manual del Sistema Mundial de Proceso de Datos y de Predicción - Volumen I, Aspectos mundiales; Volumen II, Aspectos regionales
Manual del Sistema Mundial de Proceso de Datos y de Predicción - Volumen I, Aspectos mundiales; Volumen II, Aspectos regionales
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Published by: OMM ; 2010
Collection(s) and Series: OMM
Language(s): Spanish; Other Languages: English, French, Russian
Format: CD, DVDISBN (or other code): 978-92-62-30485-8
Purchase at: http://www.wmo.int/e-catalog/detail_es.php?PUB_ID=330
Tags: Capacity development ; National Meteorological and Hydrological Service (NMHS) ; Weather forecasting ; Information management ; Governance Publications ; Global Data-processing and Forecasting System (GDPFS)
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Наставление по Глобальной системе обработкиданных и прогнозирования: Том I — Глобальные аспекты, Том II — Региональные аспект
BMO, 2010Наставление по Глобальной системе обработкиданных и прогнозирования: Том I — Глобальные аспекты, Том II — Региональные аспект
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Published by: BMO ; 2010
Collection(s) and Series: BMO
Language(s): Russian; Other Languages: English, French, Spanish
Format: CD, DVD, Digital (For fee)ISBN (or other code): 978-92-63-40485-5
Purchase at: http://www.wmo.int/e-catalog/detail_ru.php?PUB_ID=330
Tags: Capacity development ; National Meteorological and Hydrological Service (NMHS) ; Weather forecasting ; Information management ; Governance Publications ; Global Data-processing and Forecasting System (GDPFS)
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Manuel du Système mondial de traitement des données et de prévision: volume I — Aspects mondiaux, volume II — Aspects régionaux
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GCOS, 127. Conseil Pratique pour l'Établissement des Messages CLIMAT
Organisation météorologique mondiale (OMM); Programme des Nations Unies pour l'environnement (PNUE); Conseil International pour la Science (ICSU); et al. - OMM, 2009Permalink![]()
Introduction to the North American Ensemble Forecast System (NAEFS)
This webcast introduces the forecaster to the new multiple-forecast-center North American Ensemble Forecast System (NAEFS). Beginning with a brief review of the theory behind ensemble prediction, this presentation then introduces the elements of the NAEFS. These include the U.S. National Centers for Environmental Prediction’s Global Ensemble Forecast System (GEFS) and the Canadian Meteorological Center’s Ensemble Forecast System (CEFS). A description of each separate ensemble system is followed by a discussion of how the NAEFS improves the ensemble forecast over either the GEFS or CEFS alone. ...Permalink![]()
How Models Produce Precipitation and Clouds - version 2
This module, part of the "NWP Training Series: Effective Use of NWP in the Forecast Process", explores how NWP models handle both grid-scale microphysical (precipitation) and convective processes through parameterizations and/or explicit methods, with an emphasis on how model treatment (and errors in the triggering) of these processes affects forecast depiction of precipitation and related forecast variables. Back in 2000, the subject matter expert for this module was Dr. Ralph Petersen of the National Centers for Environmental Prediction, Environmental Modeling Center (NCEP/EMC). Revisions to ...Permalink![]()
Recognition and Impact of Vorticity Maxima and Minima in Satellite Imagery
Vorticity maxima and minima signatures are common features of the atmosphere. They indicate areas of ascending and 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 using Meteosat Second Generation (MSG) satellite imagery. The module is an adaptation of Phil Chadwick's work from the series of modules in "Dynamic Feature Identification: The Satellite Palette".Permalink![]()
Model Fundamentals - version 2
Model Fundamentals, part of the Numerical Weather Prediction Professional Development Series and the "NWP Training Series: Effective Use of NWP in the Forecast Process", describes the components of an NWP model and how they fit into the forecast development process. It also explores why parameterization of many physical processes is necessary in NWP models. The module covers background concepts and terminology necessary for learning from the other modules in this series on NWP. Back in 2000, the subject matter expert for this module was Dr. Ralph Petersen of the National Centers for Environmen ...Permalink![]()
Precipitation Estimates, Part 1: Measurement
This is part one of a two-module series on estimation of observed precipitation. Through use of rich illustrations, animations, and interactions, this module provides an overview of the science of precipitation estimation using various measuring platforms. First, we define quantitative precipitation estimation (QPE) and examine technologies for remote sensing of QPE, including radar and satellite and the strengths and limitations of each. That is followed by an examination of the use of rain gauges for precipitation estimation and important issues to consider with rain gauge measurement. Final ...Permalink![]()
Satellite Feature Identification: Blocking Patterns
Satellite Feature Identification: Blocking Patterns examines how water vapor imagery can be used to help diagnose blocking patterns and their dissipation. Four major blocking patterns are covered in this module: Blocking highs, Cut-off lows, Rex blocks and Omega blocks. This module is part of the series: "Dynamic Feature Identification: The Satellite Palette".Permalink![]()
Satellite Feature Identification: Ring of Fire
Satellite Feature Identification: Ring of Fire introduces forecasters to the potentially damaging convection that can develop in conjunction with blocking high pressure centers and examines how to identify it from a water vapor imagery perspective. This module is part of the series "Dynamic Feature Identification: The Satellite Palette".Permalink![]()
Intelligent Use of Model-Derived Products - version 2
This module, part of the "NWP Training Series: Effective Use of NWP in the Forecast Process", discusses three aspects of forecast guidance developed from raw NWP model data: Post-processing Statistical guidance Model assessment tools Post-processing methods, including a new section of downscaling of coarser resolution data, bias correction, and post-processing of ensemble forecast system data, are introduced. Interpolation of raw model data to produce the data seen by operational meteorologists is also described. Next, we present information on statistical guidance methods and techniques, incl ...Permalink![]()
Influence of Model Physics on NWP Forecasts - version 2
This module, part of the "NWP Training Series: Effective Use of NWP in the Forecast Process", describes model parameterizations of surface, PBL, and free atmospheric processes, such as surface snow processes, soil thermal and moisture processes, surface vegetation effects such as evapotranspiration, radiative processes involving clouds and trace gases, and turbulent processes in the PBL and free atmosphere. It specifically addresses how models treat these processes, how such processes can potentially interact with each other, and how they can influence forecasts of sensible weather elements. B ...Permalink![]()
Jason-2: Using Satellite Altimetry to Monitor the Ocean
Altimeters onboard satellites such as Jason-2 measure sea surface height and other characteristics of the ocean surface. These characteristics are linked to underlying processes and structures, making altimetry data useful for understanding the full depth of the global ocean. This 75-minute module explores major discoveries made possible by altimetry data in oceanography, marine meteorology, the marine geosciences, climate studies, the cryosphere, and hydrology. For example, altimeters have played a vital role in detecting and monitoring sea level rise and its relation to climate change. The m ...Permalink![]()
Impact of Model Structure and Dynamics - version 2
Impact of Model Structure & Dynamics, part of the "NWP Training Series: Effective Use of NWP in the Forecast Process", explains how a model forecast, and thus interpretation of that forecast, is affected by the basic design of the model. Topics include how meteorological variables are represented in grid point and spectral models, fundamental differences between hydrostatic and nonhydrostatic models, horizontal resolution of orographic and free-atmosphere features, vertical coordinate systems and how they affect the vertical resolution of features in the model forecast, and the forecast impact ...Permalink![]()
WMO Regional Satellite Workshop
The "Regional Training Course on the Use of Environmental Satellite Data in Meteorological Applications for RAIII and IV," which took place in Córdoba, Argentina between September 22 and October 3, 2008, was sponsored by WMO and NOAA NWS, and organized with the assistance of CONAE, CIRA, UBA, INPE, Eumetsat and The COMET Program. The goal of the training course was to increase the skills of Latin American meteorologists for providing better services through the use of environmental satellites. This Webcast collection offers the following seven lectures presented at the workshop, five in Spanis ...Permalink![]()
Effective Use of NWP in the Forecast Process: Introduction
This lesson, part of the "NWP Training Series: Effective Use of NWP in the Forecast Process", introduces the student to the full series. Motivation for the series is presented by Mr. LeRoy Spayd, Chief of the National Weather Service Training Division; this includes a demonstration of the value added by human forecasters to NWP forecasts through recent precipitation verification. Contributors to the series are acknowledged as well. Then Dr. Bill Bua, a member of the NWP Training Team, expands on points raised by Mr. Spayd by posing and answering a question on the role of NWP in the forecast pr ...Permalink![]()
Understanding Assimilation Systems: How Models Create Their Initial Conditions - version 2
Understanding Assimilation Systems: How Models Create Their Initial Conditions, is part of the "NWP Training Series: Effective Use of NWP in the Forecast Process." This module explains the data assimilation process, including the role of the model itself as well as the observations. It provides learners an appreciation for how models use data as a function of model resolution and data type, how data influence the analysis, the limitations of data assimilation systems, the importance of initial conditions on the quality of NWP guidance, as well as the challenges of assessing the quality of NWP ...Permalink![]()
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GCOS, 127. Practical Help for Compiling CLIMAT Reports
World Meteorological Organization (WMO) ; United Nations Environment Programme (UNEP); International Council for Science (ICSU); et al. - WMO, 2009 (WMO/TD-No. 1477)Permalink![]()
CAS/JSC WGNE Report, 24. Report of the twenty fourth session of the CAS/JSC Working Group on Numerical Experimentation (WGNE)
World Meteorological Organization (WMO) ; International Council for Science (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 2009 (WMO/TD-No. 1486)Permalink![]()
Verification of NCEP-GFS model forecast versus NCEP/CPC RFE over DRCONGO from October to December 2008 : NOAA Project Report
Kalaki Kasongo Ado - NOAA, 2009Introduction: Model verification is an essential part of a Weather Prediction system. It is a helpful knowledge to enhance the forecaster’s assessment in Weather bulletin production. The aim of this study is to compare the global Forecast system (GFS) model rainfall prediction accumulated for 24 hours and averaged over October, November and December 2008 with the African Rain Fall Estimate (RFE 2.0) (Love et al.,2002) over DRCongo and the neighboring areas (from 15S to 6N latitudes and from 10E to 32E longitudes) fig.0.Permalink![]()
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Weather Forecasting for Soaring Flight
World Meteorological Organization (WMO) ; Organisation Scientifique et Technique Internationale du Vol à Voile (OSTIV) - WMO, 2009 (WMO-No. 1038)The aim of this handbook - prepared by Organisation Scientifique et Technique Internationale du Vol à Voile (OSTIV) - is to provide the reader an internationally agreed set of guidelines for meteorological forecasting in soaring flight and related activities.Permalink![]()
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GAW Report, 187. Joint report of COST Action 728 and GURME - Review of the capabilities of meteorological and chemistry-transport Models for describing and predicting air pollution episodes
This report forms the first deliverable of Working Group 3 of the COST Action 728 on “Enhancing Mesoscale Meteorological Modelling Capabilities for Air Pollution and Dispersion
Applications”. The purpose of this report is to provide an overview of the current capabilities and applications of mesoscale modelling systems for describing and predicting air quality and related meteorological conditions. The applications are discussed from the perspective of meteorology, which is in line with the main aim of the COST 728 Action.Permalink![]()
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WCDMP, 72. Guidelines on Analysis of extremes in a changing climate in support of informed decisions for adaptation
World Meteorological Organization (WMO) ; Zwiers Francis W.; Zhang Xuebin - WMO, 2009 (WMO/TD-No. 1500)Permalink![]()
Climate Variability and Predictability (CLIVAR), 1496. Challenges and opportunities in research on climate, weather, water and environment : research aspects of an Enhanced Climate; Weather, Water and Environmental Prediction Framework
Advances in the geophysical sciences and computing have led to a number of opportunities for WMO. First, the distinction across timescales from weather to climate prediction is becoming more blurred; second the incorporation of chemical, hydrological and biological processes into weather and climate models will allow a much broader range of environmental parameters to be forecast, including air quality, flooding, sand and dust storms, changes in vegetation etc. Third, many of the applications and impacts of weather and climate share a common underlying scientific basis.Permalink![]()
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ГСНК, 127. Практическая помощь в составлении сводок CLIMAT
Всемирная Метеорологическая Организация (BMO); Программа ООН по окружающей среде (ЮНЕП); Международного совета по науке (ICSU); et al. - BMO, 2009 (ВMO/TД-No. 1477)Permalink![]()
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SMOC, 127. Ayuda práctica para la compilación de informes CLIMAT
Organización Meteorológica Mundial (OMM); Programa de Naciones Unidas para el Medio Ambiente (PNUMA); Consejo Internacional para la Ciencia (ICSU); et al. - OMM, 2009 (OMM/DT (ES)-No. 1477)Permalink![]()
Introduction to Verification of Hydrologic Forecasts
This module offers a comprehensive description of a set of common verification measures for hydrologic forecasts, both deterministic and probabilistic. Through use of rich illustrations, animations, and interactions, this module explains how these verification measures can provide valuable information to users with varying needs. In addition to providing a measure of how well a forecast matches observations, verification measures can be used to help forecasters and users learn about the strengths and weaknesses of a forecast.Permalink![]()
Creating Meteorological Products from Satellite Data
This module presents an overview of how satellite data are turned into the satellite products used by operational forecasters and the research and educational communities, etc. The module begins by describing the process of creating simple image products that use relatively simple image manipulation techniques to highlight properties such as wind-blown dust, vegetation, and cloud phase. The module then describes some of the more complex processes involved in generating quantitative products, such as cloud identification, atmospheric instability, wildfire characterization, and sea surface tempe ...Permalink![]()
Deformation Zone Distribution
The distribution of vorticity centres along an axis of maximum winds follows a fairly predictable pattern based on the characteristics of the flow. By diagnosing these characteristics, the meteorologist is able to quickly deduce the location and relative intensities of the associated vorticity centres as well as the relative sizes of the associated circulations. This information is summarized within the shape and orientation of the associated deformation zones. The deformation zones in turn reveal important details regarding feature motion and thermal advection and thus their diagnosis should ...Permalink![]()
GOES-R: Benefits of Next-Generation Environmental Monitoring
This module is an introduction to NOAA's next generation Geostationary Operational Environmental Satellite-R (GOES-R) series, focusing on the value and anticipated benefits derived from an enhanced suite of instruments for improved monitoring of meteorological, environmental, climate, and space weather phenomena and related hazards. An extensive set of visualizations highlight GOES-R and its advanced observing capabilities for providing support in thirteen key environmental application areas including air quality and visibility, climate, cloud icing, fires, hurricanes, land cover, lightning, l ...Permalink![]()
Operational Use of Wave Watch III
In this webcast, Dr. Hendrik Tolman (NOAA Marine Analysis Branch) discusses the operational use of NOAA WAVEWATCH III. The NOAA WAVEWATCH III is a forecast system that predicts wind-generated ocean waves. Dr. Tolman discusses what WAVEWATCH III can and cannot predict along with the model physics, numerics, and forecast products. Numerous examples illustrate the practical effects of several recent model improvements including high-resolution hurricane winds, surf zone physics, wave partitioning, and use of a multi-grid mosaic. The webcast concludes with a discussion of future improvements plann ...Permalink![]()
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World Weather Watch - Proceedings of the Fourth WMO Workshop on the Impact of Various Observing Systems on Numerical Weather Prediction
World Meteorological Organization (WMO) ; Andersson Erik; Ondráš Miroslav - WMO, 2008 (WMO/TD-No. 1450)The fourth session of the WMO Workshop on the Impact of Various Observing Systems on Numerical Weather Prediction, organized under the auspices of the CBS OPAG-IOS Expert Team on the Evolution of the GOS (ET-EGOS) by the Organizing Committee headed by Drs John Eyre, Ko Koizumi and Jean Pailleux, is considered as another important step forward in the process of a design of the future GOS.Permalink![]()
CAS/JSC WGNE Report, 23. Report of the twenty third session of the CAS/JSC Working Group on Numerical Experimentation (WGNE)
World Meteorological Organization (WMO) ; International Council for Science (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 2008 (WMO/TD-No. 1429)Permalink![]()
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PWS, 18. Guidelines on Communicating Forecast Uncertainty
World Meteorological Organization (WMO) ; Martin Claire; Cacic Ivan; et al. - WMO, 2008 (WMO/TD-No. 1422)Communicating the uncertainty of the forecast is vital to users. It allows them to make better decisions that are attuned to the reliability of the forecast. It also helps to manage the expectations of users for accurate forecasts. These Guidelines address the issue of communicating forecast uncertainty. Although they include a discussion on the sources of uncertainty, and touch on the related science (e.g. probabilistic forecasting, the use of Numerical Weather Prediction (NWP) ensembles), this is not their focus. Rather, the emphasis is on how National Meteorological and Hydrological Servic ...Permalink![]()
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WWRP/THORPEX, 11. WWRP/THORPEX African Implementation Plan
THORPEX is a ten year international research and development programme under the WMO World Weather Research Programme (WWRP) to accelerate improvements in accuracy of 1 day to 2 weeks high-impact weather forecasts and realize related benefits for society, the economy and the environment.
This document is designed to capitalize and improve upon existing and planned research and development programmes that contribute to WWRP/THORPEX objectives for Africa.PermalinkPermalinkPermalink![]()
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PWS, 18. Directrices sobre la comunicación de la incertidumbre de las predicciones
Organización Meteorológica Mundial (OMM); Martin Claire; Cacic Ivan; et al. - OMM, 2008 (OMM/DT (ES)-No. 1422)Comunicar la incertidumbre de las predicciones es de vital importancia para los usuarios. Les permite tomar mejores decisiones acordes con la fiabilidad de las predicciones. Asimismo, ayuda a controlar las expectativas de los usuarios en lo que se refiere a predicciones precisas. En esta publicación se trata el tema de la comunicación de la incertidumbre de las predicciones. Si bien se incluye una descripción de las fuentes de incertidumbre y se mencionan las ciencias relacionadas (por ejemplo, la predicción probabilística y el uso de la predicción numérica del tiempo (PNT) por conjuntos), no ...Permalink![]()
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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 ...Permalink![]()
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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
- BiodiversityPermalink![]()
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2007/N° 4 - Août 2007 - La recherche en prévision météorologique au service des grandes manifestations
is an issue of MétéoMonde. OMM, 2007Permalink![]()
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 ...Permalink![]()
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 ...Permalink![]()
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