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Siwei He

Partner Affiliation
Publon ID
Not available


Corresponding Articles: 6

Siwei He authored and/or contributed to the following articles/publications.

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...

Siwei He
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...

Siwei He
Institution National Oceanic and Atmospheric Administration - NOAA

Spatial snowdrift modelling for an open natural terrain using a physically-based linear particle distribution equation

Snowdrift, which results from deposition of wind transported snow, has been primarily estimated empirically rather than using physically-based modelling since the snow redistribution process is extremely complex. This study demonstrates a practical predictive model for snow redistribution based on the Linear Particle Distribution equation, which...

Siwei He

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...

Siwei He
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...

Siwei He
Institution National Oceanic and Atmospheric Administration - NOAA

Sensitivity of Near-Surface Variables in the RUC Land Surface Model in the Weather Research and Forecasting Model

In this study, we investigate the parametric sensitivity of near-surface variables, such as sensible heat flux, latent heat flux, ground heat flux, hub-height wind speed and land surface temperature, to the parameters used in the rapid update cycle (RUC) land surface model (LSM) during a winter and summer periods. The model simulations are compa...

Siwei He
Institution National Oceanic and Atmospheric Administration - NOAA