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Huiling Yuan

Affiliation/Employer
Other
Partner Affiliation
none
ORCID
Not available
Publon ID
Not available

Publications

Corresponding Articles: 9

Huiling Yuan authored and/or contributed to the following articles/publications.

The performance of high-resolution WRF ensemble QPF during heavy winter precipitation events in California

A series of annual winter forecast exercises over vulnerable watersheds of California and Nevada have been undertaken as part of the NOAA Hydrometeorology Testbed (HMT) to assess the potential for improved quantitative precipitation forecasts during heavy precipitation events. For the most recent exercise, a nine-member high-resolution (9 km) en...

Huiling Yuan

An Evaluation of Five WRF-ARW Microphysics Schemes Using Synthetic GOES Imagery for an Atmospheric River Event Affecting the California Coast

The main purpose of the present study is to assess the value of synthetic satellite imagery as a tool for model evaluation performance in addition to more traditional approaches. For this purpose, synthetic GOES-10 imagery at 10.7 mm was produced using output from the Advanced Research Weather Research and Forecasting (WRF-ARW) numerical model. ...

Huiling Yuan

The HFIP High Resolution Hurricane Forecast Test

Tropical cyclones are a serious concern for the nation, causing significant risk to life, property and economic vitality. The National Oceanic and Atmospheric Administration (NOAA) National Weather Service has a mission of issuing tropical cyclone forecasts and warnings, aimed at protecting life and property and enhancing the national economy. I...

Huiling Yuan

Calibration of probalistic quantitative precipitation forecasts with an artificial neural network

A feed-forward neural network is configured to calibrate the bias of a high-resolution probabilistic quantitative precipitation forecast (PQPF) produced by a 12-km version of the NCEP Regional Spectral Model (RSM) ensemble forecast system. Twice-daily forecasts during the 2002–2003 cool season (1 November– 31 March, inclusive) are run over four ...

Huiling Yuan

Short-range probabilistic quantitative precipitation forecasts over the southwest United States by the RSM ensemble system

The National Centers for Environmental Prediction (NCEP) Regional Spectral Model (RSM) is used to produce twice-daily (0000 and 1200 UTC), high-resolution ensemble forecasts to 24 h. The forecasts are performed at an equivalent horizontal grid spacing of 12 km for the period 1 November 2002 to 31 March 2003 over the southwest United States. T...

Huiling Yuan

Verification of Probabilistic Quantitative Precipitation Forecasts over the Southwest United States during Winter 2002/03 by the RSM Ensemble System

The National Centers for Environmental Prediction (NCEP) Regional Spectral Model (RSM) is used to generate ensemble forecasts over the southwest United States during the 151 days of 1 November 2002 to 31 March 2003. RSM forecasts to 24 h on a 12-km grid are produced from 0000 and 1200 UTC initial conditions. Eleven ensemble members are run each ...

Huiling Yuan

Calibration of Probalistic quantitative precipitation forecasts from the RSM ensemble forecasts over hydrologic regions

Cool season precipitation plays an important role in freshwater supply over the Southwest United States, which is marked by heterogeneous topographic and hydrologic scenarios. More accurate precipitation prediction is highly desirable for both the public and hydrological model users. Numerous studies indicate that ensemble forecasting provides m...

Huiling Yuan

Overview of Weather and Climate Systems

Weather and climate phenomena develop as part of the coupled ocean-atmosphere-land-ice system. To understand the nature of the coupled system and its constituent processes, as well as the basis for and the limits of their predictability, some important concepts are reviewed, including determinism, chaotic error growth, and linear as well as nonl...

Huiling Yuan

Pseudo-Precipitation: A Continuous Precipitation Variable

The discontinuous and highly nonlinear nature of precipitation makes its statistical manipulation, like the reduction of bias in quantitative precipitation forecasts (QPF) or probabilistic QPF (PQPF) problematic. To ease the statistical post-processing of precipitation, a new continuous variable, pseudo-precipitation (PP) is introduced. Pseudo- ...

Huiling Yuan
Institution National Oceanic and Atmospheric Administration - NOAA