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Evaluation of WRF-simulated multilevel soil moisture, 2-m air temperature, and 2-m relative humidity against in situ observations in India

机译:评估WRF模拟多级土壤水分,2米的空气温度和2-M相对湿度在印度出于原位观察

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The ability of the Weather Research and Forecasting (WRF) model to simulate multilevel soil moisture (SM), 2-m air temperature (T-2m), and 2-m relative humidity (RH2m) was evaluated for five different locations in India. WRF model simulations were carried out for 30 cases during different seasons with two different land surface schemes, viz. Noah and Rapid Update Cycle (RUC). The simulations were compared with insitu observations taken routinely at 30-min time intervals at the five selected locations. Statistical evaluation showed that, although the model could simulate SM reasonably well [with the majority of cases falling in the < 25% relative error (RE) category] at different depths for Delhi (DLH) and Gulbarga (GLB), the model errors were high (with most cases falling in the > 50% RE category) for Almora (ALR), Hyderabad (HYD), and Cochin (CHN). In case of T-2m, model errors were high (RE > 15%) over hilly terrain, e.g., at ALR, while errors were relatively lower (RE < 10%) for plane areas such as HYD, GLB, DLH, and CHN. In general, the diurnal variation showed that the model underestimated (overestimated) afternoon temperatures during nonrainy (rainy) days. RH2m was also well simulated by the model at the locations HYD, GLB, and CHN, although it underestimated RH2m during morning hours at the locations ALR and DLH. Overall, the comparison showed that the WRF model could reproduce the near-surface temperature and humidity for plane areas such as HYD, GLB, and CHN reasonably well, but has limitations for complex terrains, e.g., at ALR, and highly polluted cities such as DLH.
机译:天气研究和预测(WRF)模型模拟​​多级土壤水分(SM),2米的空气温度(T-2M)和2-M相对湿度(RH2M)的能力在印度的五个不同位置评价。 WRF模型模拟在不同季节进行了30例,具有两种不同的陆地表面方案,VIZ。诺亚和快速更新周期(RUC)。将模拟与在五个选定位置的30分钟时间间隔定期进行的Insitu观察进行比较。统计评估表明,虽然模型可以合理地模拟SM,但随着大多数情况下落在德里(DLH)和Gulbarga(GLB)的不同深度处的<25%相对误差(RE)类别),但模型误差是高(大多数病例落在> 50%Re类别中),适用于Almora(ALR),海德拉巴(HYD)和Cochin(CHN)。在T-2M的情况下,模型误差在丘陵地形上高(RE> 15%),例如,以ALR,而误差相对较低(RE <10%),用于平面区域,例如HYD,GLB,DLH和CHN 。通常,昼夜变异显示,在非rainy(雨季)天期间低估(高估)下午温度的模型。 RH2M也通过位置HYD,GLB和CHN的模型进行了良好的模拟,尽管在当地的早晨和DLH时,它会低估RH2M。总的来说,比较表明,WRF模型可以合理地再现平面近表面温度和湿度,例如HYD,GLB和CHN,但对复杂地形有局限性,例如,ALR和高度污染的城市dlh。

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