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Stanley G. Benjamin

Affiliation/Employer
Federal
Partner Affiliation
gsl
Publon ID

Publications

Corresponding Articles: 104

Stanley G. Benjamin authored and/or contributed to the following articles/publications.

Enhancing short term wind energy forecasting for improved utility operations: technical description of a joint DOE/NOAA/Private Industry collaborative field program

Because of a wide recognition within the wind energy and electric utility operations communities that inadequate wind energy forecasting skill is placing a strain on the effective integration of wind energy onto the nation's electrical grids, The U.S. Department of Energy has implemented a joint research program with NOAA and private industry to...

Stanley G. Benjamin

Creation of real-time probabilistic thunderstorm guidance products from a time-lagged ensemble of High Resolution Rapid Refresh (HRRR) forecasts

Starting in June of 2009, ESRL GSD began creating a real-time experimental probabilistic thunderstorm guidance product based on the High Resolution Rapid Refresh (HRRR). The HRRR (Weygandt et al, this conference) is an hourly updating, convection resolving model run over a domain covering the eastern 2/3 of the United States. The HRRR utilizes a...

Stanley G. Benjamin

Impact of satellite radiance data in the Rapid Refresh system and problems of regional satellite radiance assimilation

The analysis and forecast domain of the real-time experimental Rapid Refresh (RR) system (scheduled to replace the NCEP operational Rapid Update Cycle in 2010) covers all of North America, a significant expansion compared to the CONUS domain coverage of the Rapid Update Cycle (RUC). Associated with this domain expansion is the necessity to inclu...

Stanley G. Benjamin

Toward using NWP model ensemble data for strategic planning of the national airspace

Weather forecasting is increasingly relying on high-resolution and ensemble numerical weather prediction (NWP) model data. Efforts are underway to develop convective weather products utilizing high-resolution model ensembles for strategic planning of the National Airspace (NAS). The FAA Aviation Weather Research Program (AWRP) is currently fundi...

Stanley G. Benjamin

Impact of Assimilating Multiple-radar Data through the GSI System on Numerical Prediction of Tropical Storm Erin (2007)

A rare event occurred over Oklahoma in August 2007 when Atlantic tropical storm Erin (2007) re-intensified over western Oklahoma three days after making a landfall. The storm re-developed an eye, an eye wall structure and spiral rain bands after weakening significantly over western Texas, producing strong winds and heavy flooding that claimed se...

Stanley G. Benjamin

Radar Reflectivity-based Initialization of Precipitation Systems using a Diabatic Digital Filter within the Rapid Update Cycle

Despite a significant research effort over the past two decades, the prediction of convective storms and the associated warm season precipitation prediction problem remains a formidable modeling and assimilation challenge. The large forecast uncertainty associated with convective situations, even at very short lead times, coupled with the severi...

Stanley G. Benjamin

The RTMA background - hourly downscaling of RUC data to 5-km detail

In spring 2006, an initial version of the 5-km downscaling of RUC data for the CONUS Real-Time Mesoscale Analysis (RTMA) was implemented at the National Centers for Environmental Prediction. Since that time, the RUC downscaling techniques within the RUC post-processing have been refined several times, based on daily reviews by forecasters within...

Stanley G. Benjamin

Short-range numerical weather prediction using time-lagged ensembles

A time-lagged ensemble forecast system is developed using a set of hourly initialized Rapid Update Cycle model deterministic forecasts. Both the ensemble-mean and probabilistic forecasts from this time-lagged ensemble system present a promising improvement in the very short-range weather forecasting of 1–3 h, which may be useful for aviation wea...

Stanley G. Benjamin

Performance of RUC13 and WRFRUC13 forecasts for the AIRS-2 11 November 2003 icing case

Stanley G. Benjamin

Comparison of RUC condensate analyses and forecasts with satellite-derived cloud properties

Stanley G. Benjamin

Evaluation of the RUC-initialized WRF for its application in the Rapid Refresh at NCEP

Stanley G. Benjamin

RUC Short-Range Ensemble Forecast System

Stanley G. Benjamin

OBSERVATION SENSITIVITY EXPERIMENTS USING THE RAPID UPDATE CYCLE

Stanley G. Benjamin

Performance of the FSL RUC-initialized WRF over the CONUS Domain

Stanley G. Benjamin

PRELIMINARY RESULTS OF WRF MODEL PERFORMANCE AS A STEP TOWARDS THE NCEP RAPID REFRESH

Stanley G. Benjamin

RUC Model-Based Convective Probability Forecasts

The increasing utilization of the National Air Space has led to a growing need for thunderstorm likelihood information with a forecast lead-time of several hours. This information is needed as guidance to aviation meteorologists and traffic flow managers as they work together to make strategic (2-6 h) aircraft routing decisions to optimize air t...

Stanley G. Benjamin

INITIAL EVALUATION RESULTS OF THE ETA, NMM, GFS, SREF, AND RUC MODELS DURING THE 2003 NEW ENGLAND HIGH RESOLUTION TEMPERATURE PROGRAM

Stanley G. Benjamin

A variational assimilation technique in a hybrid isentropic-sigma coordinate

A three-dimensional variational (3dVAR) analysis set in a generalized vertical coordinate is described. This analysis technique has been applied to the Rapid Update Cycle (RUC), a mesoscale analysis/model system in the United States providing high-frequency, short-range forecasts. The RUC 3dVAR analysis is, in fact, set in a hybrid isentropic-...

Stanley G. Benjamin

DEVELOPMENT OF AUTOMATED ANALYSIS AND FORECAST PRODUCTS FOR ADVERSE CEILING AND VISIBILITY CONDITIONS

Stanley G. Benjamin

DEVELOPMENT OF AUTOMATED NATIONAL CEILING AND VISIBILITY PRODUCTS: SCIENTIFIC AND PRACTICAL CHALLENGES, RESEARCH STRATEGIES, AND FIRST STEPS

Stanley G. Benjamin

An assessment of 3- and 6-h RUC CAPE forecasts

Stanley G. Benjamin

Verification of RUC Surface Forecasts at Major U.S. Airport Hubs

Stanley G. Benjamin

HIGH-RESOLUTION RUC FORECASTS FOR PACJET: REAL-TIME NWS GUIDANCE AND RETROSPECTIVE DATA IMPACT TESTS

Stanley G. Benjamin

WIND ENERGY FORECASTS AND ENSEMBLE UNCERTAINTY FROM THE RUC

Stanley G. Benjamin

The Role of Ground-Based GPS Meteorological Observations in Numerical Weather Prediction

Stanley G. Benjamin

CLOUD/HYDROMETEOR INITIALIZATION FOR THE 20-KM RUC USING SATELLITE AND RADAR DATA

Stanley G. Benjamin

VERIFICATION OF 20-KM RUC SURFACE AND PRECIPITATION FORCASTS

Stanley G. Benjamin

ASSIMILATION OF RAPID-SCAN CLOUD MOTION VECTORS INTO THE RUC MODEL IN SUPPORT OF THE PACJET EXPERIMENT

Stanley G. Benjamin

The WRF 3D-VAR analysis system

Stanley G. Benjamin

Accuracy of RUC-1 and RUC-2 wind and aircraft trajectory forecasts by comparison with ACARS observations

As part of an investigation into terminal airspace productivity sponsored by the NASA Ames Research Center, a study was performed at the Forecast Systems Laboratory to investigate sources of wind forecast error and to assess differences in wind forecast accuracy between the 60-km Rapid Update Cycle, version 1 (RUC-1), and the newer 40-km RUC-2. ...

Stanley G. Benjamin

Parameterization of cold-season processes in the MAPS land-surface scheme

A coupled atmospheric/land-surface model covering the conterminous United States with an associated 1-hour atmospheric data assimilation cycle, the Mesoscale Analysis and Prediction System (MAPS), has been improved to include a snow accumulation/melting scheme and also parameterization of processes in frozen soil. The new aspects of the land-s...

Stanley G. Benjamin

Use of a mixed-phase microphysics scheme in the operational NCEP Rapid Update Cycle

Stanley G. Benjamin

Wind prediction accuracy for air traffic management decision support tools

Stanley G. Benjamin

Assimilation of cloud-top pressure derived from GOES sounder data into MAPS/RUC

Stanley G. Benjamin

An initial RUC cloud analysis assimilating GOES cloud-top data

Stanley G. Benjamin

An assessment of short-range forecast fields from the Rapid Update Cycle related to convective development

Stanley G. Benjamin

Verification of RUC-2 precipitation forecasts using the NCEP multisensor analysis

Stanley G. Benjamin

Parameterization of frozen soil physics in MAPS and its effect on hydrological cycle components

Stanley G. Benjamin

Soil temperature and moisture evolution from MAPS/RUC-2

Stanley G. Benjamin

Introduction of MM5 level 4 microphysics into the RUC-2

Stanley G. Benjamin

Forecast performance of a prognostic turbulence formulation implemented in the MAPS/RUC model

Stanley G. Benjamin

A study of the accuracy of RUC-1 and RUC-2 wind and aircraft trajectory forecasts using ACARS observations

Stanley G. Benjamin

Verification of RUC-2 and Eta model precipitation forecasts

Stanley G. Benjamin

Impact of snow physics parameterization on short-range forecasts of skin temperature in MAPS/RUC

Stanley G. Benjamin

The combined use of GOES cloud drift, ACARS, VAD, and Profiler winds in RUC-2

Stanley G. Benjamin

Using VIIRS fire radiative power data to simulate biomass burning emissions, plume rise and smoke transport in a real-time air quality modeling system

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

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

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

100 Years of Progress in Forecasting and NWP Applications

Over the past 100 years, the collaborative effort of the international science community, including government weather services and the media, along with the associated proliferation of environmental observations, improved scientific understanding, and growth of technology, has radically transformed weather forecasting into an effective global a...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Improvements to Lake-Effect Snow Forecasts Using a One-Way Air–Lake Model Coupling Approach

Lake-effect convective snowstorms frequently produce high-impact, hazardous winter weather conditions downwind of the North American Great Lakes. During lake-effect snow events, the lake surfaces can cool rapidly, and in some cases, notable development of ice cover occurs. Such rapid changes in the lake-surface conditions are not accounted for i...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Addressing a Warm/Dry Bias over Central North America with Improved Boundary Layer and Land Surface Physics and Data Assimilation

Representing shallow cumulus in numerical weather prediction and climate models is a significant challenge. Misrepresenting these subgrid-scale clouds can result in large errors in the downwelling shortwave radiative flux at surface, resulting in large errors in the surface temperature that results in feedbacks into the accuracy of the thermodyn...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Assimilating Differential Reflectivity Columns into the High-Resolution Rapid Refresh Using Latent Heating Forcing

The High Resolution Rapid Refresh (HRRR) assimilates radar reflectivity information in order to skillfully forecast convection. This assimilation is done using an empirical relationship between reflectivity and latent heat release from hydrometeor condensation and freezing to update the temperature tendency field. The temperature tendency field ...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Application of the High-Resolution Rapid Refresh (HRRR) to the Bay Area Advanced Quantitative Precipitation Information Project

The Bay Area Flood Protection Association has just recently begun funding the Physical Sciences Division and Global Systems Division (GSD) of NOAA’s Earth System Research Lab (NOAA-ESRL), as well as the NOAA Cooperative Institute for Research in the Atmosphere (CIRA), to design and build a specialized nowcast / forecast system for the 9 Californ...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Addressing Common Cloud - Radiation Errors from ~4-hour to 4-week Model Prediction

Cloud-radiation representation in models for subgrid-scale clouds is a known gap from subseasonal-to-seasonal models down to storm-scale models applied for forecast duration of only a few hours. NOAA/ESRL has been applying common physical parameterizations for scale-aware deep/shallow convection and boundary-layer mixing over this wide range of ...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Correspondence of water vapor image features and potential vorticity patterns from an isentropic mesoscale data assimilation system

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

A Comparison of Temperature and Wind Measurements from ACARS-Equipped Aircraft and Rawinsondes

A comparison was made of temperature and wind observations reported by rawinsonde and Aircraft Communications, Addressing, and Reporting System (ACARS)-equipped commercial aircraft separated by less than 150 km in distance and 90 min in time near Denver, Colorado, in February and March 1992. Only data made on aircraft ascents and descents repor...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Commercial-Aircraft-Based Observations for NWP: Global Coverage, Data Impacts, and COVID-19

Weather observations from commercial aircraft constitute an essential component of the global observing system and have been shown to be the most valuable observation source for short-range numerical weather prediction (NWP) systems over North America. However, the distribution of aircraft observations is highly irregular in space and time. In t...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

A Regional GSI-Based Ensemble Kalman Filter Data Assimilation System for the Rapid Refresh Configuration: Testing at Reduced Resolution

A regional ensemble Kalman filter (EnKF) system is established for potential Rapid Refresh (RAP) operational application. The system borrows data processing and observation operators from the gridpoint statistical interpolation (GSI), and precalculates observation priors using the GSI. The ensemble square root Kalman filter (EnSRF) algorithm is ...

Stanley G. Benjamin
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

A GSI-Based Coupled EnSRF–En3DVar Hybrid Data Assimilation System for the Operational Rapid Refresh Model: Tests at a Reduced Resolution

A coupled ensemble square root filter–three-dimensional ensemble-variational hybrid (EnSRF–En3DVar) data assimilation (DA) system is developed for the operational Rapid Refresh (RAP) forecasting system. The En3DVar hybrid system employs the extended control variable method, and is built on the NCEP operational gridpoint statistical interpolation...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Stratiform Cloud-Hydrometeor Assimilation for HRRR and RAP Model Short-Range Weather Prediction

Accurate cloud and precipitation forecasts are a fundamental component of short-range data assimilation/model prediction systems such as the NOAA 3-km High-Resolution Rapid Refresh (HRRR) or the 13-km Rapid Refresh (RAP). To reduce cloud and precipitation spinup problems, a nonvariational assimilation technique for stratiform clouds was develope...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Recommendations for Developing Useful and Usable Convection-Allowing Model Ensemble Information for NWS Forecasters

U.S. National Weather Service (NWS) forecasters assess and communicate hazardous weather risks, including the likelihood of a threat and its impacts. Convection-allowing model (CAM) ensembles offer potential to aid forecasting by depicting atmospheric outcomes, including associated uncertainties, at the refined space and time scales at which haz...

Stanley G. Benjamin
Institutions National Center for Atmospheric Research - NCAR National Oceanic and Atmospheric Administration - NOAA

A Verification Approach Used in Developing the Rapid Refresh and Other Numerical Weather Prediction Models

Developing and improving numerical weather prediction models such as the Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) requires a well-designed, easy-to-use evaluation capability using observations. Owing to the very complex nonlinear interactions between the data assimilation system and the representation of various physics compo...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Single-column validation of a snow subgrid parameterization in the Rapid Update Cycle Land-Surface Model (RUC LSM)

Subgrid variability of snow is important in studying surface-atmosphere interactions as it affects grid-scale processes. However, this dynamic variability is currently not well-represented in most land-surface models (LSMs). A stochastic snow model using the Fokker-Planck Equation (FPE) has been developed specifically for representing subgrid va...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

A Scale-Aware Parameterization for Estimating Subgrid Variability of Downward Solar Radiation Using High-Resolution Digital Elevation Model Data

Subgrid variability of solar downward radiation at the surface can be important in estimating subgrid variability of other radiation-driven variables, such as snowmelt and soil temperature. However, this information is ignored in current hydrological and weather prediction models as only the mean downward solar radiation of model grid is used. I...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Improvement of Mountain Wave Turbulence Forecast in the NOAA’s Rapid Refresh (RAP) Model with Hybrid Vertical Coordinate System

Spurious mountain-wave features have been reported as false alarms of light-or-stronger numerical weather prediction (NWP)-based cruise level turbulence forecasts especially over the western mountainous region of North America. To reduce this problem, a hybrid sigma-pressure vertical coordinate system was implemented in NOAA’s operational Rapid ...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

The Subseasonal Experiment (SubX): A Multimodel Subseasonal Prediction Experiment

The Subseasonal Experiment (SubX) is a multimodel subseasonal prediction experiment designed around operational requirements with the goal of improving subseasonal forecasts. Seven global models have produced 17 years of retrospective (re)forecasts and more than a year of weekly real-time forecasts. The reforecasts and forecasts are archived at ...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

The Impact of Satellite Radiance Data Assimilation within a Frequently Updated Regional Forecast System Using a GSI-based Ensemble Kalman Filter

A regional ensemble Kalman filter (EnKF) data assimilation (DA) and forecast system was recently established based on the Gridpoint Statistical Interpolation (GSI) analysis system. The EnKF DA system was tested with continuous three-hourly updated cycles followed by 18-h deterministic forecasts from every three-hourly ensemble mean analysis. Ini...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Evaluating and Improving NWP Forecast Models for the Future: How the Needs of Offshore Wind Energy Can Point the Way

To advance the understanding of meteorological processes in offshore coastal regions, the spatial variability of wind profiles must be characterized and uncertainties (errors) in NWP model wind forecasts quantified. These gaps are especially critical for the new offshore wind energy industry, where wind profile measurements in the marine atmosph...

Stanley G. Benjamin
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

Offshore wind speed estimates from a high-resolution rapidly updating numerical weather prediction model forecast dataset

In association with the Department of Energy–funded Position of Offshore Wind Energy Resources (POWER) project, we present results from compositing a 3-year dataset of 80-m (above ground level) wind forecasts from the 3-km High-Resolution Rapid Refresh (HRRR) model over offshore regions for the contiguous United States. The HRRR numerical weathe...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Subseasonal Variability of Rossby Wave Breaking and Impacts on Tropical Cyclones during the North Atlantic Warm Season

This study investigates the subseasonal variability of anticyclonic Rossby wave breaking (AWB) and its impacts on atmospheric circulations and tropical cyclones (TCs) over the North Atlantic in the warm season from 1985 to 2013. Significant anomalies in sea level pressure, tropospheric wind, and humidity fields are found over the tropical–subtro...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Subseasonal Forecasting with an Icosahedral, Vertically Quasi-Lagrangian Coupled Model. Part I: Model Overview and Evaluation of Systematic Errors

The atmospheric hydrostatic Flow-Following Icosahedral Model (FIM), developed for medium-range weather prediction, provides a unique three-dimensional grid structure—a quasi-uniform icosahedral horizontal grid and an adaptive quasi-Lagrangian vertical coordinate. To extend the FIM framework to subseasonal time scales, an icosahedral-grid renditi...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Subseasonal Forecasting with an Icosahedral, Vertically Quasi-Lagrangian Coupled Model. Part II: Probabilistic and Deterministic Forecast Skill

Subseasonal forecast skill of the global hydrostatic atmospheric Flow-Following Icosahedral Model (FIM) coupled to an icosahedral-grid version of the Hybrid Coordinate Ocean Model (iHYCOM) is evaluated through 32-day predictions initialized weekly using a four-member time-lagged ensemble over the 16-yr period 1999–2014. Systematic biases in fore...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Evaluation of MJO Predictive Skill in Multiphysics and Multimodel Global Ensembles

Monthlong hindcasts of the Madden–Julian oscillation (MJO) from the atmospheric Flow-following Icosahedral Model coupled with an icosahedral-grid version of the Hybrid Coordinate Ocean Model (FIM-iHYCOM), and from the coupled Climate Forecast System, version 2 (CFSv2), are evaluated over the 12-yr period 1999–2010. Two sets of FIM-iHYCOM hindcas...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

GSI Three-Dimensional Ensemble–Variational Hybrid Data Assimilation Using a Global Ensemble for the Regional Rapid Refresh Model

The Rapid Refresh (RAP) is an hourly updated regional meteorological data assimilation/short-range model forecast system running operationally at NOAA/National Centers for Environmental Prediction (NCEP) using the community Gridpoint Statistical Interpolation analysis system (GSI). This paper documents the application of the GSI three-dimensiona...

Stanley G. Benjamin
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

Observation System Experiments with the Hourly Updating Rapid Refresh Model Using GSI Hybrid Ensemble–Variational Data Assimilation

A set of observation system experiments (OSEs) over three seasons using the hourly updated Rapid Refresh (RAP) numerical weather prediction (NWP) assimilation–forecast system identifies the importance of the various components of the North American observing system for 3–12-h RAP forecasts. Aircraft observations emerge as the strongest-impact ob...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model

A new gridded dataset for wind and solar resource estimation over the contiguous United States has been derived from hourly updated 1-h forecasts from the National Oceanic and Atmospheric Administration High-Resolution Rapid Refresh (HRRR) 3-km model composited over a three-year period (approximately 22 000 forecast model runs). The unique datas...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

A Performance Comparison between Multiphysics and Stochastic Approaches within a North American RAP Ensemble

A stochastic parameter perturbation (SPP) scheme consisting of spatially and temporally varying perturbations of uncertain parameters in the Grell–Freitas convective scheme and the Mellor–Yamada–Nakanishi–Niino planetary boundary scheme was developed within the Rapid Refresh ensemble system based on the Weather Research and Forecasting Model. Al...

Stanley G. Benjamin
Institutions National Center for Atmospheric Research - NCAR National Oceanic and Atmospheric Administration - NOAA

Radiance Preprocessing for Assimilation in the Hourly Updating Rapid Refresh Mesoscale Model: A Study Using AIRS Data

This study describes the initial application of radiance bias correction and channel selection in the hourly updated Rapid Refresh model. For this initial application, data from the Atmospheric Infrared Sounder (AIRS) are used; this dataset gives atmospheric temperature and water vapor information at higher vertical resolution and accuracy than ...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Satellite Radiance Data Assimilation within the Hourly Updated Rapid Refresh

Assimilation of satellite radiance data in limited-area, rapidly updating weather model/assimilation systems poses unique challenges compared to those for global model systems. Principal among these is the severe data restriction posed by the short data cutoff time. Also, the limited extent of the model domain reduces the spatial extent of satel...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Assessment of NWP Forecast Models in Simulating Offshore Winds through the Lower Boundary Layer by Measurements from a Ship-Based Scanning Doppler Lidar

Evaluation of model skill in predicting winds over the ocean was performed by comparing retrospective runs of numerical weather prediction (NWP) forecast models to shipborne Doppler lidar measurements in the Gulf of Maine, a potential region for U.S. coastal wind farm development. Deployed on board the NOAA R/V Ronald H. Brown during a 2004 fiel...

Stanley G. Benjamin
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

The Weather Research and Forecasting Model: Overview, System Efforts, and Future Directions

Since its initial release in 2000, the Weather Research and Forecasting (WRF) Model has become one of the world’s most widely-used numerical weather prediction models. Designed to serve both research and operational needs, it has grown to offer a spectrum of options and capabilities for a wide range of applications. In addition, it underlies a n...

Stanley G. Benjamin
Institutions National Center for Atmospheric Research - NCAR National Oceanic and Atmospheric Administration - NOAA

Diagnostic fields developed for hourly updated NOAA weather models

This document describes methods for diagnosing non-prognostic variables from explicit prognostic variables from hourly updated NOAA models. Many of these diagnostics have been developed for specific forecast applications for downstream forecast users over the years; these variables have been output from the Rapid Update Cycle (RUC) model prior t...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Doppler-Lidar Evaluation of HRRR-Model Skill at Simulating Summertime Wind Regimes in the Columbia River Basin during WFIP2

Complex-terrain locations often have repeatable near-surface wind patterns, such as synoptic gap flows and local thermally forced flows. An example is the Columbia River Valley in east-central Oregon-Washington, a significant wind-energy-generation region and the site of the Second Wind-Forecast Improvement Project (WFIP2). Data from three Doppl...

Stanley G. Benjamin
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

Comments on “A Comparison of Temperature and Wind Measurements from ACARS-Equipped Aircraft and Rawinsondes”

This comment is intended to identify an error in the label for Table 7 in Schwartz and Benjamin (1995, hereafter SB95). The label should have read “Statistics for rawinsonde − ACARS matched data…,” meaning that for this sample, rawinsondes were warmer than aircraft data by a mean value of 0.22 K for these ascent/descent aircraft observations fro...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh

The Rapid Refresh (RAP), an hourly-updated assimilation and model forecast system, replaced the Rapid Update Cycle (RUC) as an operational regional analysis and forecast system among the suite of models at the NOAA National Centers for Environmental Prediction (NCEP) in 2012. The need for an effective hourly-updated assimilation and modeling sys...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

A Vertically Flow-Following Icosahedral Grid Model for Medium-Range and Seasonal Prediction. Part I: Model Description

A hydrostatic global weather prediction model based on an icosahedral horizontal grid and a hybrid terrain-following/isentropic vertical coordinate is described. The model is an extension to three spatial dimensions of a previously developed, icosahedral, shallow-water model featuring user-selectable horizontal resolution and employing indirect ...

Stanley G. Benjamin
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

Ensemble Prediction with the High-Resolution Rapid Refresh (HRRR): Providing Probabilistic Forecasts of Weather Hazards for Aviation

The 13-km Rapid Refresh (RAP) and 3-km convective-allowing High-Resolution Rapid Refresh (HRRR) are hourly updating weather forecast models that use a specially configured version of the Advanced Research WRF (ARW) model and assimilate many novel and most conventional observation types on an hourly basis using Gridpoint Statistical Interpolation...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Expanding the High-Resolution Rapid Refresh (HRRR) from Deterministic to Ensemble Data Assimilation, Forecasts and Post-Processing

The 13-km Rapid Refresh (RAP) and 3-km convective-allowing High-Resolution Rapid Refresh (HRRR) are hourly updating weather forecast models that use a specially configured version of the Advanced Research WRF (ARW) model and assimilate many novel and most conventional observation types on an hourly basis using Gridpoint Statistical Interpolation...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Explicit Precipitation-Type Diagnosis from a Model Using a Mixed-Phase Bulk Cloud–Precipitation Microphysics Parameterization

The Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR), both operational at NOAA’s National Centers for Environmental Prediction (NCEP) use the Thompson et al. mixed-phase bulk cloud microphysics scheme. This scheme permits predicted surface precipitation to simultaneously consist of rain, snow, and graupel at the same location under c...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Implementation of a Digital Filter Initialization in the WRF Model and Its Application in the Rapid Refresh

Because of limitations of variational and ensemble data assimilation schemes, resulting analysis fields exhibit some noise from imbalance in subsequent model forecasts. Controlling finescale noise is desirable in the NOAA’s Rapid Refresh (RAP) assimilation/forecast system, which uses an hourly data assimilation cycle. Hence, a digital filter ini...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Modifications to the Rapid Update Cycle Land Surface Model (RUC LSM) Available in the Weather Research and Forecasting (WRF) Model

The land surface model (LSM) described in this manuscript was originally developed as part of the NOAA Rapid Update Cycle (RUC) model development effort; with ongoing modifications, it is now used as an option for the WRF community model. The RUC model and its WRF-based NOAA successor, the Rapid Refresh (RAP), are hourly updated and have an emph...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

NOAA Holistic Climate and Earth System Model Strategy Phase I: Current State

This report describes Phase I of a two-phase study proposed and organized by the NOAA Climate Program Office (CPO) in early 2014 for the development of a NOAA Holistic Climate and Earth System Modeling Strategy. Defining NOAA’s strategy for global climate and earth system modeling for research and operations allows NOAA’s investments in this are...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Progress Toward Improved Solar Forecasts in Hourly Updated RAP and HRRR Forecasts

The High-Resolution Rapid Refresh (HRRR) 3km hourly updated model is now being run operationally at NOAA's National Centers for Environmental Prediction (NCEP). A focus on improved cloud/solar forecasts has been central to development of HRRRv2 and HRRRv3 experimental versions, along with the parent 13km Rapid Refresh (RAP). Experimental, advanc...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Rap and HRRR Model/Assimilation System Improvements for Aviation Weather Applications: Latest Upgrades and Ongoing Work

An operational upgrade of the RAP and HRRR model systems at NCEP is planned for August 2016. This coordinated upgrade (RAP version 3 and HRRR version 2, RAPv3/HRRRv2) includes many enhancements to the data assimilation, model, and post-processing formulations that result in significant improvements to nearly all forecast aspects, including uppe...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

The Influence of Topography on Convective Storm Environments in the Eastern United States as Deduced from the HRRR

Relatively little is known about how topography affects convective storms. The first step toward understanding these effects is to investigate how topography affects storm environments. Unfortunately, the effects of topography on convective environments is not easily observed directly. Instead, we resort to using output from the High-Resolution ...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

The Wind Forecast Improvement Project (WFIP): A Public-Private Partnership Addressing Wind Energy Forecast Needs

The Wind Forecast Improvement Project (WFIP) is a public-private research program, the goal of which is to improve the accuracy of short-term (0–6 hr) wind power forecasts for the wind energy industry. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that included the National Oceanic and Atmospheric Administration (NOAA)...

Stanley G. Benjamin
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

Forecasting lake-/sea-effect snowstorms, advancement, and challenges

Lake-/sea-effect snow forms typically from late fall to winter when a cold air mass moves over the warmer, large water surface. The resulting intense snowfall has many societal impacts on communities living in downwind areas; hence, accurate forecasts of lake-/sea-effect snow are essential for safety and preparedness. Forecasting lake-/sea-effec...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Radar Reflectivity-based Model Initialization using Specified Latent Heating (Radar-LHI) within a Diabatic Digital Filter or Pre-forecast Integration

A technique for model initialization using three-dimensional radar reflectivity data has been developed and applied within the NOAA 13-km Rapid Refresh (RAP) and 3-km High-Resolution Rapid Refresh (HRRR) regional forecast systems. This technique enabled the first assimilation of radar reflectivity data for operational NOAA forecast models, criti...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part 1: Motivation and System Description

The High-Resolution Rapid Refresh (HRRR) is a convection-allowing implementation of the Weather Research and Forecasting model (WRF-ARW) with hourly data assimilation that covers the conterminous United States and Alaska and runs in real time at the NOAA National Centers for Environmental Prediction. Implemented operationally at NOAA/NCEP in 201...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part 2: Forecast Performance

The High-Resolution Rapid Refresh (HRRR) is a convection-allowing implementation of the Advanced Weather Research and Forecast model (WRF-ARW) that covers the conterminous United States and Alaska and runs hourly (for CONUS; every three hours for Alaska) in real time at the National Centers for Environmental Prediction. The high-resolution forec...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Land–Snow Data Assimilation Including a Moderately Coupled Initialization Method Applied to NWP

Initialization methods are needed for geophysical components of Earth system prediction models. These methods are needed from medium-range to decadal predictions and also for short-range Earth system forecasts in support of safety (e.g., severe weather), economic (e.g., energy), and other applications. Strongly coupled land–atmosphere data assim...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Inland lake temperature initialization via coupled cycling with atmospheric data assimilation

Application of lake models coupled within earth-system prediction models, especially for predictions from days to weeks, requires accurate initialization of lake temperatures. Commonly used methods to initialize lake temperatures include interpolation of global sea-surface temperature (SST) analyses to inland lakes, daily satellite-based observa...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Evaluation of the Near-Surface Variables in the HRRR Weather Model Using Observations from the ARM SGP Site

The performance of version 4 of the NOAA High-Resolution Rapid Refresh (HRRR) numerical weather prediction model for near-surface variables, including wind, humidity, temperature, surface latent and sensible fluxes, and longwave and shortwave radiative fluxes, is examined over the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SG...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

The 30 December 2021 Colorado Front Range Windstorm and Marshall Fire: Evolution of Surface and 3D Structure, NWP Guidance, NWS Forecasts, and Decision Support

The Marshall Fire on 30 December 2021 became the most destructive wildfire costwise in Colorado history as it evolved into a suburban firestorm in southeastern Boulder County, driven by strong winds and a snow-free and drought-influenced fuel state. The fire was driven by a strong downslope windstorm that maintained its intensity for nearly 11 h...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA

Multi-Model Prediction of West Nile Virus Neuroinvasive Disease With Machine Learning for Identification of Important Regional Climatic Drivers

West Nile virus (WNV) is the leading cause of mosquito-borne illness in the continental United States (CONUS). Spatial heterogeneity in historical incidence, environmental factors, and complex ecology make prediction of spatiotemporal variation in WNV transmission challenging. Machine learning provides promising tools for identification of impor...

Stanley G. Benjamin
Institution National Oceanic and Atmospheric Administration - NOAA