scholarly journals Warning Information in a Preconvection Environment from the Geostationary Advanced Infrared Sounding System—A Simulation Study Using the IHOP Case

2011 ◽  
Vol 50 (3) ◽  
pp. 776-783 ◽  
Author(s):  
Jun Li ◽  
Jinlong Li ◽  
Jason Otkin ◽  
Timothy J. Schmit ◽  
Chian-Yi Liu
Keyword(s):  
High Resolution ◽  
Simulation Study ◽  
Model Simulation ◽  
Weather Research And Forecasting ◽  
Forecasting Model ◽  
High Temporal Resolution ◽  
Potential Utility ◽  
Convective Initiation ◽  
System A ◽  
Atmospheric Data

Abstract In this paper, a convective initiation event from the International H2O Project (IHOP) field experiment is used to demonstrate the potential utility of a future geostationary advanced infrared (IR) sounder for severe storm nowcasting applications. An advanced IR sounder would provide detailed stability information (e.g., lifted index and other parameters) with high temporal resolution useful for determining favorable locations for convective initiation. Atmospheric data from a high-resolution Weather Research and Forecasting model simulation was used to generate simulated Hyperspectral Environmental Suite (HES) and Advanced Baseline Imager (ABI) stability products. Comparison of these products shows that the ABI [or the current Geostationary Operational Environmental Satellite (GOES) Sounder] provides limited stability information before the storm development as a result of the limited spectral IR information for temperature and moisture profiling. The high spatial and temporal geostationary advanced IR sounder, however, can provide critical information about the destabilization much earlier than the current GOES Sounder or ABI.

Reproducing the September 2013 Record-Breaking Rainfall over the Colorado Front Range with High-Resolution WRF Forecasts

2014 ◽  
Vol 29 (2) ◽  
pp. 393-402 ◽  
Author(s):  
Craig S. Schwartz
Keyword(s):  
High Resolution ◽  
Initial Conditions ◽  
Rainfall Event ◽  
Colorado Front Range ◽  
Weather Research And Forecasting ◽  
Forecasting Model ◽  
Front Range ◽  
Torrential Rainfall ◽  
Horizontal Grid ◽  
Sensitivity To Initial Conditions

Abstract Four convection-permitting Weather Research and Forecasting Model (WRF) forecasts were produced in an attempt to replicate the record-breaking rainfall across the Colorado Front Range between 1200 UTC 11 September and 1200 UTC 13 September 2013. A nested WRF domain with 4- and 1-km horizontal grid spacings was employed, and sensitivity to initial conditions (ICs) and microphysics (MP) parameterizations was examined. Rainfall forecasts were compared to gridded observations produced by National Weather Service River Forecast Centers and gauge measurements from the Community Collaborative Rain, Hail and Snow Network (CoCoRaHS). All 1-km forecasts produced 48-h rainfall exceeding 250 mm over portions of the Colorado Front Range and were more consistent with observations than the 4-km forecasts. While localized sensitivities to both ICs and MP were noted, systematic differences were not attributable to the varied ICs or MP schemes. At times, the 1-km forecasts produced precipitation structures similar to those observed, but none of the forecasts successfully captured the observed mesoscale evolution of the entire rainfall event. Nonetheless, as all 1-km forecasts produced torrential rainfall over the Colorado Front Range, these forecasts could have been useful guidance for this event.

scholarly journals High-resolution fire danger forecast for Poland based on the Weather Research and Forecasting Model

2021 ◽  
Author(s):  
Alan Mandal ◽  
Grzegorz Nykiel ◽  
Tomasz Strzyzewski ◽  
Adam Kochanski ◽  
Weronika Wrońska ◽  
...  
Keyword(s):  
High Resolution ◽  
Fire Danger ◽  
Weather Research And Forecasting ◽  
Forecasting Model ◽  
Weather Research

scholarly journals WRF Model Simulation of Two Alberta Flooding Events and the Impact of Topography

2012 ◽  
Vol 13 (2) ◽  
pp. 695-708 ◽  
Author(s):  
Thomas K. Flesch ◽  
Gerhard W. Reuter
Keyword(s):  
Spatial Resolution ◽  
Rocky Mountains ◽  
Model Simulation ◽  
Wrf Model ◽  
Weather Research And Forecasting ◽  
Forecasting Model ◽  
Maximum Precipitation ◽  
Flooding Events ◽  
The Impact ◽  
Weather Research

Abstract This study examines simulations of two flooding events in Alberta, Canada, during June 2005, made using the Weather Research and Forecasting Model (WRF). The model was used in a manner readily accessible to nonmeteorologists (e.g., accepting default choices and parameters) and with a relatively large spatial resolution for rapid model runs. The simulations were skillful: strong storms were developed having the correct timing and location, generating precipitation rates close to observations, and with precipitation amounts near that observed. The model was then used to examine the sensitivity of the two storms to the topography of the Rocky Mountains. Comparing model results using the actual topographic grid with those of a reduced-mountain grid, it is concluded that a reduction in mountain elevation decreases maximum precipitation by roughly 50% over the mountains and foothills. There was little sensitivity to topography in the precipitation outside the mountains.

scholarly journals Precipitation Forecast Experiments Using the Weather Research and Forecasting (WRF) Model at Gray-Zone Resolutions

2018 ◽  
Vol 33 (6) ◽  
pp. 1605-1616 ◽  
Author(s):  
Ji-Young Han ◽  
Song-You Hong
Keyword(s):  
High Resolution ◽  
Model Simulation ◽  
Wrf Model ◽  
Heavy Precipitation ◽  
Grid Size ◽  
Cumulus Parameterization ◽  
Precipitation Forecast ◽  
Weather Research And Forecasting ◽  
Gray Zone ◽  
Weather Research

Abstract In the Weather Research and Forecasting (WRF) community, a standard model setup at a grid size smaller than 5 km excludes cumulus parameterization (CP), although it is unclear how to determine a cutoff grid size where convection permitting can be assumed adequate. Also, efforts to improve high-resolution precipitation forecasts in the range of 1–10 km (the so-called gray zone for parameterized precipitation physics) have recently been made. In this study, we attempt to statistically evaluate the skill of a gray-zone CP with a focus on the quantitative precipitation forecast (QPF) in the summertime. A WRF Model simulation with the gray-zone simplified Arakawa–Schubert (GSAS) CP at 3-km spatial resolution over East Asia is evaluated for the summer of 2013 and compared with the results from a conventional setup without CP. A statistical evaluation of the 3-month simulations shows that the GSAS demonstrates a typical distribution of the QPF skill, with high (low) scores and bias in the light (heavy) precipitation category. The WRF without CP seriously suppresses light precipitation events, but its skill for heavier categories is better. Meanwhile, a new set of precipitation data, which is simply averaged precipitation from the two simulations, demonstrates the best skill in all precipitation categories. Bearing in mind that high-resolution QPF requires essential challenges in model components, along with complexity in precipitating convection mechanisms over geographically different regions, this proposed method can serve as an alternative for improving the QPF for practical usage.

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