标题： 使用阿库雷，尼日利亚的常规气象数据估算全波辐射 显示英文标题

标题： Estimating All-Net Radiation using routine Meteorological data in Akure, Nigeria

摘要： 地球的净辐射，有时称为净通量，是大气中入射和出射太阳辐射能量之间的平衡。 本研究利用了2007年1月到2011年12月期间对对流层变量（太阳辐射、空气温度、地表温度、最高温度、最低温度和露点温度）五年的数据，以估算净辐射并研究其时间（昼夜）和每日变化。 测量地点是尼日利亚电视广播公司NTA阿库尔的旧址，位于伊朱（7.15oN，5.12oE），在翁多州阿库尔北部地方政府辖区。 结果表明，净辐射在白天表现出辐射能盈余，而在夜间则出现赤字。 每小时净辐射通量的日平均最大值在旱季约为550 Wm-2，出现在约12:00时，在雨季为380 Wm-2，出现在约12:30时。 我们观察到净辐射和温度之间存在时间滞后；净辐射通量在12:00时达到最大值，而温度则在约15:00时达到峰值。 净辐射的日平均值在2月和11月左右显示出两个峰值，值约为160 Wm-2天-1，最低值约为50 Wm-2天-1。 日平均温度在2月出现单一峰值，这是最热的月份。 我们还分析了来自10种结构和复杂性不同的模型的每日净辐射值，其中很多模型低估了标准模型，因为它们具有位置依赖性。 显示英文摘要

摘要： Earth's net radiation, sometimes referred to as net flux, is the balance between incoming and outgoing solar radiation energy from the atmosphere. This study utilised five years of data on tropospheric variables (solar radiation, air temperature, surface temperature, maximum temperature, minimum temperature, and dew point temperature), from January 2007 to December 2011 to estimate net radiation and examine its temporal (diurnal) and daily variation. The measurement site is the old site of the Nigerian Television Authority, NTA Akure at Iju (7.15oN, 5.12oE), in Akure North Local Government area of Ondo State. The results indicate that the net radiation exhibits a radiant energy surplus during the daytime and a deficit at nighttime. The daily mean maximum of the hourly net radiation flux was about 550 Wm-2 for the dry season. The value occurred around 12:00 hrs and 380 Wm-2 for the wet season, the value occurring around 12:30 hrs. We observed a time lag between net radiation and temperature; the net radiative flux reached its maximum at 12:00 hrs while the temperature attained its peak value around 15:00 hrs. Daily averages of net radiation exhibited dual peaks with values of about 160 Wm-2day-1 around February and November and a minimum of about 50 Wm-2day-1. The daily average temperature has a singular peak in February, the hottest month. We also analysed daily net radiation values from 10 models that differ in structure and complexity, and a lot of them underestimated the standard model because they were location-dependent.