نتایج جستجو برای: wrf chem

تعداد نتایج: 28073  

2004
Jerome D. Fast Richard C. Easter William I. Gustafson Elaine G. Chapman James. C. Barnard Rahul A. Zaveri Georg A. Grell

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...

Journal: :npj climate and atmospheric science 2023

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...

2015
Man Yu Charles O. Stanier Eric E. Nuxoll Scott Spak Yafang Cheng

ii To My Family and Friends iii ACKNOWLEDGMENTS

Journal: :Atmospheric Chemistry and Physics 2021

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...

Journal: :Atmospheric Chemistry and Physics 2021

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...

2015
Yogendra Sharma Dinesh B. Kulkarni

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...

Journal: :Journal Of Geophysical Research: Atmospheres 2023

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...

Journal: :Atmosphere 2021

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...

2009
X. Tie

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...

2011
Zhiquan Liu Quanhua Liu Hui-Chuan Lin Craig S. Schwartz Yen-Huei Lee

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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