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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 ...
GOES-R Series Multilingual Training Resources
This listing of multilingual training materials for the GOES-R series includes both foundational lessons and quick guides developed by various partners at the request of the U.S. National Weather Service and NESDIS. The selections included here represent materials translated to Spanish and Portuguese. Training contributors include COMET, RAMMB/CIRA, CIMSS, and SPoRT. Translation contributors/reviewers include the Servicio Meteorológico Nacional (SMN) in Argentina and the University of São Paulo in Brazil.
SatFC-G: GOES-R Impacts on Satellite Data Assimilation
This five minute lesson presents a brief overview of how GOES-R observations are expected to support and potentially enhance NWP for various analysis and forecast applications. This lesson is a part of the NWS Satellite Foundation GOES-R Course.
Satellite Foundational Course for GOES-R: SatFC-G (SHyMet Full Course Access)
The Satellite Foundational Course for GOES-R (SatFC-G) is a series of nearly 40 lessons designed specifically for National Weather Service (NWS) forecasters and decision makers to prepare for the U.S.’ next-generation geostationary environmental satellites. The course is intended to help learners develop or improve their understanding of the capabilities, value, and anticipated benefits from the GOES-R suite of instruments. These instruments and imagery offer improved monitoring of meteorological, environmental, climatological, and space weather phenomena and related hazards. The course will a ...
SatFC-G: Impact of Satellite Observations on NWP
This lesson covers how satellite data inform numerical weather prediction models. From a basic overview of how satellite data is assimilated to how a new instrument's data might get into a model. This lesson is a part of the NWS Satellite Foundation GOES-R Course. More in-depth discussions and a quiz on the impacts of satellite observations on NWP can be found in the COMET lesson, How Satellite Observations Impact NWP.
NWP Essentials: Data Assimilation
This lesson introduces the processes of model data assimilation. It also discusses the impacts of errors in the data assimilation on model forecasts and how a human forecaster can compensate for them.
How Satellite Observations Impact NWP
Satellite observations have a huge impact on numerical weather prediction (NWP) model analyses and forecasts, with sounding data from polar orbiting and GPS-radio occultation satellites reducing model forecast error by almost half. All of this despite the fact that NWP models only assimilate 5% of all satellite observations! This lesson discusses the use of satellite observations in NWP and how model limitations prevent more of the data from being assimilated. The lesson begins by briefly describing the history of satellite observations in NWP and their impact on NWP model forecast skill. The ...
GCOS, 153. Report from the Fourth Meeting of the WCRP Observation and Assimilation Panel (WOAP)
World Meteorological Organization (WMO) ; United Nations Environment Programme (UNEP); International Council for Science (ICSU); et al. - WMO, 2011
WCRP Informal/Series Report, 33/2011. Report from the Fourth Meeting of the WCRP Observation and Assimilation Panel (WOAP)
World Meteorological Organization (WMO) ; United Nations Environment Programme (UNEP); International Council for Science (ICSU); et al. - WMO, 2011
AMS/COMET/MSC Mountain Weather Workshop, August 2008, Whistler, BC
In August 2008, the "Mountain Weather Workshop: Bridging the Gap Between Research and Forecasting" was held in Whistler, BC, Canada. It was sponsored by the American Meteorological Society, UCAR/COMET, and the Meteorological Service of Canada. The workshop brought together researchers, faculty, students, and operational forecasters. Its primary goals were to help provide a better understanding of the state of the science of mountain meteorology from both a research and an operational perspective, and to discuss ways of improving interaction between the research and forecasting communities. The ...
Introduction to Tropical Meteorology, 2nd Edition, Chapter 9: Observations, Analysis, and Prediction
The chapter describes the challenges of tropical weather forecasting. We examine types of observations and weather analysis techniques used by tropical forecasters. Those analysis tools are applied to examples of tropical synoptic weather systems as well as mesoscale analysis and nowcasting. The last three sections focus on numerical weather prediction (NWP) including: the fundamentals, data assimilation, comparisons of statistical and dynamical models, ensemble techniques, cumulus convection in NWP, tropical cyclone prediction, and methods of forecast verification and validation. We have spec ...
Toward an Advanced Sounder on GOES?
This module uses recorded interviews from several satellite meteorologists and respected satellite experts to describe how a high spectral resolution infrared sounder in geostationary orbit would lead to significant improvements in mesoscale and severe weather forecasting and numerical weather prediction. Discussions focus on the currently unsatisfied need for an advanced sounder in geostationary orbit and the potential contributions this capability could provide.
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.
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 ...
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