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搜索结果: 1-15 共查到WRF相关记录50条 . 查询时间(0.062 秒)
硫酸盐(SO42-)是大气细颗粒物(PM2.5)关键二次组分,其时空分布特征在区域空气质量模式中的精准再现是至关重要的。研究报道指出SO42-占PM2.5总质量的 10~30%,且具有明显负辐射强迫,对PM2.5重污染形成乃至全球气候有直接影响作用;硫酸盐污染浓度水平及时空分布模拟的不确定性,将对区域空气质量模式PM2.5浓度模拟及其辐射强迫模拟产生较大的误差,进而对于我国大气污染防控策略制定乃至...
碳达峰碳中和目标下,绿色清洁可再生太阳能应用前景广阔。地表水平总辐射(Global Horizontal Irradiation,GHI)是太阳能发电预报系统中的首要也是最重要的变量之一。晴空条件下太阳能资源最丰富,GHI的高精度预报对光伏等太阳能大规模化并网利用具有重要意义。
地表反照率表征地面对太阳辐射的吸收和反射能力,是地表能量平衡的关键参数。青藏高原冬春季降雪频繁,地表反照率在降雪和随后的积雪演变过程中剧烈变化,对地表能量平衡和水循环有很大影响。目前广泛使用的Noah陆面过程模式由于缺乏对地表反照率方案考虑,导致模式在青藏高原地区出现较大的气象要素模拟偏差。随着卫星遥感反照率反演精度提高,利用卫星遥感反照率数据如何改进模式反照率参数化方案?该方案在青藏高原降雪过程...
本文利用全球陆面数据同化系统与降雨观测数据,以陕西半湿润区陈河流域为研究对象,驱动WRF-Hydro模型,研究该模型的表现和适用性,并在结构、参数、输入输出和模拟结果方面与新安江模型对比.考虑到次表面层与实际包气带的区别,引入土层厚度乘子ZSOILFAC对前者进行等比缩放,发现其与新安江模型反推包气带的厚度有较好的一致性.研究表明:在陈河流域中WRF-Hydro计算步长须在建议值的基础上缩小;WR...
精准的气象场是空气质量模型的基础,本文对中尺度气象模式WRF(The Weather Research and Forecasting)中微物理过程方案、陆面过程方案、行星边界层方案以及积云参数化方案进行组合,设计了24组参数化方案,对2014年5月初四川盆地内一次空气重污染过程中的气象场进行了模拟,将模拟输出的10 m风速、2 m温度、2 m相对湿度、水汽混合比廓线及位温廓线与研究区内14个气象...
A parameterization for secondary organic aerosol (SOA) production based on the volatility basis set (VBS) approach has been coupled with microphysics and radiative schemes in the Weather Research and ...
An integrated modelling system based on the regional online coupled meteorology–atmospheric chemistry WRF-Chem model configured with two nested domains with horizontal resolutions of 11.1 and 3.7 km h...
Many climate models have difficulties in properly reproducing climate extremes, such as heat wave conditions. Here we use the Weather Research and Forecasting (WRF) regional climate model with a large...
We present results from and evaluate the performance of a 12-month, 12 km horizontal resolution year 2005 air pollution simulation for the contiguous United States using the WRF-Chem (Weather Research...
A new treatment of cloud effects on aerosol and trace gases within parameterized shallow and deep convection, and aerosol effects on cloud droplet number, has been implemented in the Weather Researc...
In this study, the Weather Research and Forecasting (WRF) model is coupled with the Advanced Canopy–Atmosphere–Soil Algorithm (ACASA), a high-complexity land surface model. Although WRF is a state-of-...
Air quality forecasting requires atmospheric weather models to generate accurate meteorological conditions, one of which is the development of the planetary boundary layer (PBL). An important contribu...
Gridpoint Statistical Interpolation (GSI) is an assimilation tool that is used at the National Centers for Environmental Prediction (NCEP) in operational weather forecasting in the USA. In this articl...
We have made a number of developments to the Weather, Research and Forecasting model coupled with Chemistry (WRF-Chem), with the aim of improving model prediction of trace atmospheric gas-phase chemic...
A suite of physical parameterizations (deep and shallow convection, turbulent boundary layer, aerosols, cloud microphysics, and cloud fraction) from the global climate model Community Atmosphere Mo...

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