نتایج جستجو برای: wrf chem
تعداد نتایج: 28073 فیلتر نتایج به سال:
1.0 INTRODUCTION Much progress has been made in modeling trace gases such as ozone and ozone precursors; however, relatively large uncertainties are still associated with urban, regional, and global-scale model predictions of aerosols (mass, size distribution, composition, physical characteristics, and optical properties) and aerosol direct and indirect forcing. A key step in improving the repr...
Abstract Atmospheric chemistry transport models have been extensively applied in aerosol forecasts over recent decades, whereas they are facing challenges from uncertainties emission rates, meteorological data, and over-simplified chemical parameterizations. Here, we developed a spatial-temporal deep learning framework, named PPN (Pollution-Predicting Net for PM 2.5 ), to accurately efficiently...
ii To My Family and Friends iii ACKNOWLEDGMENTS
Abstract. The Gridpoint Statistical Interpolation data assimilation (DA) system was developed for the four size bin sectional Model Simulating Aerosol Interactions and Chemistry (MOSAIC) aerosol mechanism in Weather Research Forecasting-Chemistry (WRF-Chem) model. forward tangent linear operators optical depth (AOD) analysis were derived from WRF-Chem code. We applied three-dimensional variatio...
Abstract. Correct description of the boundary layer mixing process particle is an important prerequisite for understanding formation mechanism pollutants, especially during heavy pollution episodes. Turbulent vertical determines distribution momentum, heat, water vapor and pollutants within planetary (PBL). However, what questionable that turbulent particles usually denoted by diffusion heat in...
The Weather Research and Forecasting model (WRF) is a simulating system developed for atmospheric weather prediction. WRF model is used for both operational as well as research purposes. The need for accurate weather and climate simulation to be carried out in shorter time is increasing day by day, which leads to the acceleration of existing Numerical Weather Prediction (NWP) system. This paper...
Convective clouds are important for both the vertical redistribution of tropospheric trace gases and removal, via microphysical scavenging, soluble gas precursors ozone. We investigate wet scavenging formaldehyde (CH2O), hydrogen peroxide (H2O2), methyl (CH3OOH) in quasi-marine land convective storms over Texas, USA observed on 18 September 2013 during SEAC4RS campaign. Cloud-resolving simulati...
This study analyzes six frontal dust storms in the Middle East during cold period (October–March), aiming to examine atmospheric circulation patterns and force dynamics that triggered fronts associated (pre- or post-frontal) storms. Cold troughs mostly located over Turkey, Syria north Iraq played a major role front propagation at surface, while cyclonic conditions strong winds facilitated The p...
The quantification of tropospheric O3 production in the downwind of the Mexico City plume is a major objective of the MIRAGE-Mex field campaign. We used a regional chemistry-transport model (WRF-Chem) to predict the distribution of O3 and its precursors in Mexico City and the surrounding region during March 2006, and compared the model with in-situ aircraft measurements of O3, CO, VOCs, NOx, an...
Assimilating MODIS aerosol optical depth using WRF/Chem and GSI: Application to a Chinese dust storm
Assimilation of the Moderate Resolution Imaging Spectroradiometer (MODIS) total aerosol optical depth (AOD) retrieval products (at 550 nm wavelength) from both Terra and Aqua satellites have been developed within the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation (GSI) three-dimensional variational (3DVAR) data assimilation system. This newly developed ...
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