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Derivation of temperature lapse rates in semi-arid south-eastern Arizona

机译:半干旱亚利桑那州东南部温度下降率的推导

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Ecological and hydrological modelling at the regional scale requires distributed information on weather variables, and temperature is important among these. In an area of basin and range topography with a wide range of elevations, such as south-eastern Arizona. measurements are usually available only at a relatively small number of locations and elevations, and temperatures elsewhere must be estimated from atmospheric lapse rate. This paper derives the lapse rates to estimate maximum, minimum and mean daily temperatures from elevation. Lapse rates were calculated using air temperatures at 2 m collected during 2002 at 18 locations across south-eastern Arizona, with elevations From 779 to 2512 m. The lapse rate predicted for the minimum temperature was lower than the mean environmental lapse rate (MELR), i.e. 6 K km(-1) whereas those predicted For the mean and maximum daily temperature were very similar to the MELR. Lapse rates were also derived from radiosonde data at 00 and 12 UTC (5 mu m and 5 am local time, respectively). The lapse rates calculated from radiosonde data were greater than those from the 2 in measurements, presumably because the effect of the surface was less. Given temperatures measured at Tucson airport, temperatures at the other sites were predicted using the different estimates of lapse rates. The best predictions of temperatures used the locally predicted lapse rates. In the case of maximum and mean temperature, using the MELR also resulted in accurate predictions.
机译:区域尺度的生态和水文模拟需要有关天气变量的分布式信息,而温度在其中尤为重要。在具有高程范围的盆地和山脉地形中,例如亚利桑那州的东南部。通常只能在相对较少的位置和高度进行测量,并且必须根据大气流失率估算其他地方的温度。本文推导了通过率来估算最高,最低和平均日气温的消失率。流失率是根据2002年在亚利桑那州东南部18个地点采集的2 m的气温计算的,海拔从779到2512 m。预测的最低温度的消失率低于平均环境消失率(MELR),即6 K km(-1),而预测的平均和最高每日温度则与MELR非常相似。流失率也来自于UTC的00和12 UTC的探空仪数据(当地时间分别为5μm和5 am)。从无线电探空仪数据计算出的失误率大于在两次测量中的失误率,大概是因为表面的影响较小。给定在图森机场测得的温度,则使用不同的失误率预测来预测其他站点的温度。对温度的最佳预测是使用本地预测的失效率。在最高和平均温度的情况下,使用MELR还可以得出准确的预测。

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