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susan R. sahm

Affiliation/Employer
Federal
Partner Affiliation
gsl
ORCID
Not available
Publon ID
Not available

Publications

Corresponding Articles: 10

Susan R. Sahm authored and/or contributed to the following articles/publications.

FIM Performance for some of the Major events of the 2009-2010 Winter Season

At the last Weather and Forecasting/Numerical Weather Prediction Conference in Omaha in 2009 we showed some examples of forecasts from a new global model known as the FIM, for Flow-following finite-volume Icosahedral Model, that was developed at the Global Systems Division (GSD) of ESRL. In addition to the icosahedral horizontal grid, other diff...

susan R. sahm

The High Resolution Rapid Refresh (HRRR): Recent enhancements and evaluation during the 2009 convective season

For the 2009 convective season, the 3-km High Resolution Rapid Refresh (HRRR) was run over an expanded domain covering the eastern 2/3 of the United States. Real-time hourly forecasts out to 12-h were produced and a variety of convective guidance products were produced (including 15-min VIL output fields and tracks of severe weather indicators)....

susan R. sahm

Profiler assessment and ongoing profiler observation quality monitoring using the Rapid Update Cycle

The Observation Assessment Section of the Earth System Research Laboratory / Global Systems Division’s (GSD) Assimilation and Modeling Branch has performed successful observation quality monitoring (OQM) studies in the past for aircraft and surface observations. In these studies, differences between observations and 1-h RUC forecasts have been a...

susan R. sahm

Relative short-range forecast impact in summer and winter from aircraft, profiler, rawinsonde, VAD, GPS-PW, METAR and mesonet observations for hourly assimilation into the RUC

An assessment of the value of 7 different observation data types (aircraft, profiler, rawinsonde, VAD (velocity azimuth display), GPS precipitable water, METAR, and mesonet) on short-range numerical forecasts is presented for winter and summer 10-day periods. A series of observation sensitivity experiments (OSEs) was conducted using the Rapid Up...

susan R. sahm

Relative short-range forecast impact in summer and winter from aircraft, profiler, rawinsonde, VAD, GPS-PW, METAR and mesonet observations for hourly assimilation into the RUC

An assessment of the value of 7 different observation data types (aircraft, profiler, rawinsonde, VAD (velocity azimuth display), GPS precipitable water, METAR, and mesonet) on short-range numerical forecasts is presented for winter and summer 10-day periods. A series of observation sensitivity experiments (OSEs) was conducted using the Rapid Up...

susan R. sahm

Analysis of GPS RTK performance using external NOAA tropospheric corrections integrated with a multiple reference station approach

For high-accuracy geodetic applications, time-variable tropospheric propagation delay errors limit global positioning system real-time kinematic positioning accuracy. Potential improvements in positioning accuracy are evaluated by using the National Oceanic and Atmospheric Administration (NOAA) real-time tropospheric corrections (here...

susan R. sahm

ONGOING ASSESSMENT OF GPS-IPW IMPACT ON RUC FORECASTS

susan R. sahm

GPS-IPW OBSERVATIONS AND THEIR ASSIMILATION INTO THE 20-KM RUC DURING SEVERE WEATHER SEASON

susan R. sahm

Devised scheme to correct GOES bias in GOES operational total precipitable water products

The National Environmental Satellite Data and Information Service (NESDIS) Geostationary Observational Environmental Satellite (GOES)-derived, total precipitable water (TPW) vapor product is routinely produced at NESDIS for Advanced Weather Interactive Processing System (AWIPS) users, primarily for National Weather Service (NWS) forecast offices...

susan R. sahm
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

Progress on FIM development toward membership in the North American Ensemble Forecast System

susan R. sahm
Institution National Oceanic and Atmospheric Administration - NOAA