Sensitivity of WRF simulations with the YSU PBL scheme to the lowest model level height for a sea fog event over the Yellow Sea
The lowest model level is the interface of energy and mass exchanging between the surface
and planetary boundary layer (PBL). Previous studies mostly examined the role of the lowest …
and planetary boundary layer (PBL). Previous studies mostly examined the role of the lowest …
A comparison between 3DVAR and EnKF for data assimilation effects on the Yellow Sea fog forecast
X Gao, S Gao, Y Yang - Atmosphere, 2018 - mdpi.com
The data assimilation method to improve the sea fog forecast over the Yellow Sea is usually
three-dimensional variational assimilation (3DVAR), whereas ensemble Kalman filter …
three-dimensional variational assimilation (3DVAR), whereas ensemble Kalman filter …
A revised method with a temperature constraint for assimilating satellite-derived humidity in forecasting sea fog over the Yellow Sea
X Gao, S Gao, Z Li, Y Wang - Frontiers in Earth Science, 2023 - frontiersin.org
Numerical forecast of sea fog is very challenging work because of its high sensitivity to
model initial conditions. For better depicting the humidity structure of the marine atmospheric …
model initial conditions. For better depicting the humidity structure of the marine atmospheric …
An Online Assimilation Method to Improve the Numerical Forecast of Sea Fog Using Microwave Radiometer‐Retrieved Cloud Water Path
X Gao, X Bao, S Ma, Q Chen… - Journal of Geophysical …, 2024 - Wiley Online Library
Numerical forecast of the sea fog is sensitive to the initial moist stratification within the
marine atmospheric boundary layer (MABL). This study develops an online assimilation …
marine atmospheric boundary layer (MABL). This study develops an online assimilation …
Impact of Feature-Dependent Static Background Error Covariances for Satellite-Derived Humidity Assimilation on Analyses and Forecasts of Multiple Sea Fog Cases …
Assimilation of satellite-derived humidity with a homogenous static background error
covariance (B) matrix computed over the entire computational domain (Full-B) tends to …
covariance (B) matrix computed over the entire computational domain (Full-B) tends to …
A new observation operator for the assimilation of satellite-derived relative humidity: Methodology and experiments with three sea fog cases over the Yellow Sea
Assimilation of satellite-derived relative humidity (Satellite-RH) is capable of improving sea
fog forecasts by saturating the background in the observed foggy areas. Previous studies …
fog forecasts by saturating the background in the observed foggy areas. Previous studies …
Impact of Multivariate Background Error Covariance on the WRF‐3DVAR Assimilation for the Yellow Sea Fog Modeling
X Gao, S Gao - Advances in Meteorology, 2020 - Wiley Online Library
Numerical modeling of sea fog is highly sensitive to initial conditions, especially to moisture
in the marine atmospheric boundary layer (MABL). Data assimilation plays a vital role in the …
in the marine atmospheric boundary layer (MABL). Data assimilation plays a vital role in the …
[PDF][PDF] Related articles that may interest you
J WANG, J YANG, HL REN, J LI, Q BAO… - Journal of …, 2021 - researchgate.net
Assimilation of satellite-derived relative humidity (Satellite-RH) is capable of improving sea
fog forecasts by saturating the background in the observed foggy areas. Previous studies …
fog forecasts by saturating the background in the observed foggy areas. Previous studies …
Improvements of Sea Fog Forecasting Based on CMA-TYM
B Huang, J Zhang, Y Cao, X Gao, S Ma… - Frontiers in Earth …, 2022 - frontiersin.org
Based on the operational version of the China Meteorological Administration Typhoon
Model (CMA-TYM, formerly known as GRAPES_TYM), a series of numerical tests are …
Model (CMA-TYM, formerly known as GRAPES_TYM), a series of numerical tests are …