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Evaluating wind fields from a diagnostic model over complex terrain in the Phoenix region and implications to dispersion calculations for regional emergency response

机译:根据凤凰地区复杂地形的诊断模型评估风场及其对区域应急响应的色散计算的影响

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This paper compares the wind field from a diagnostic model (CALMET) over complex terrain in the Phoenix region in the USA with observations that are gridded by a state-of-the-art Four-Dimensional Data Assimilation (FDDA) system. The wind difference between the CALMET and FDDA wind fields is larger at night than in the day. The magnitude of the wind difference can be smaller than 5% of the mean wind speed at low levels in areas with dense observational stations, while it can be larger than 80% in areas without observational stations or at high altitudes. The vector-mean wind direction difference over the domain is 15 degrees on the surface level and 25 degrees between 10 and 1500 m. To evaluate the effects of the wind difference on dispersion calculations, dispersion of a hypothetical passive tracer released from surface point sources is simulated by the second-order closure integrated puff (SCIPUFF) model driven by the CALMET and FDDA wind fields, respectively. Differences in the two simulated tracer concentration fields increase with time due to accumulation of effects of the wind differences both near the surface and at higher altitudes. Even for release in the area with the densest distribution of surface stations, the relative difference in the peak surface concentration from CALMET-SCIPUFF and from FDDA-SCIPUFF is less than 10% only within 0.5 h after the release in the afternoon, and increases to 70% at 1.5 h; this is because of large differences in wind above the surface. For release in the area with few stations, the difference can be larger than 100% or even larger after 1.5 h from the release. To improve dispersion simulations driven by the CALMET wind in the region, observations at Upper-air stations are needed and the current surface observation network needs to be reorganized or more stations are needed to account for the influence of terrain.
机译:本文将美国凤凰城地区复杂地形的诊断模型(CALMET)的风场与最新的四维数据同化(FDDA)系统网格化的观测结果进行了比较。夜间,CALMET和FDDA风场之间的风差比白天大。在有密集观测站的地区,风差的大小可以小于低水平平均风速的5%,而在没有观测站的地区或高海拔地区,风差的大小可以大于80%。整个区域的矢量平均风向差异在表面水平为15度,在10至1500 m之间为25度。为了评估风差对色散计算的影响,分别由CALMET和FDDA风场驱动的二阶闭合积分吹气(SCIPUFF)模型模拟​​了从表面点源释放的假设无源示踪剂的色散。由于表面附近和较高高度的风差效应的累积,两个模拟示踪剂浓度场中的差异随时间增加。即使是在地面站分布最密集的区域释放,CALMET-SCIPUFF和FDDA-SCIPUFF的峰值表面浓度的相对差异也仅在下午释放后0.5小时内小于10%,并增加到1.5小时时为70%;这是因为表面上方的风存在很大差异。对于在站数少的区域释放,距离释放1.5小时后,差异可能大于100%,甚至更大。为了改善由该地区CALMET风驱动的弥散模拟,需要在高空站进行观测,并且需要重组当前的地面观测网络,或者需要更多站来考虑地形的影响。

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