[Objective]The research aimed to analyze formation reason of the strong squall weather in the Yellow River and Huaihe River basins on June 3,2009.[Method]Using American NCEP 1°×1° reanalysis data,observ...[Objective]The research aimed to analyze formation reason of the strong squall weather in the Yellow River and Huaihe River basins on June 3,2009.[Method]Using American NCEP 1°×1° reanalysis data,observation data at automatic weather station,conventional meteorological data,FY-2C satellite cloud image and Doppler weather radar data in Shangqiu,circulation background situation of a strong squall line case on June 3,2009 in the Yellow River and Huaihe River basins was conducted diagnostic analysis.Then,formation reason of the squall weather was discussed.[Result]Increasing convective instable stratification was the favorable situation.Translot in the rear of northeast cold vortex leaded cold air to go south.The rising airflow created by ground meso-scale convergence was as trigger mechanism of the convection.Water vapor from the south continuously supplied.Finally,squall line was formed,and developed.It was a high incidence zone of the thunderstorm and squall line near dry line.[Conclusion]The research provided reference for the future similar weather forecast.展开更多
GECROS是荷兰瓦赫宁根农业大学近些年开发的机理性更强、算法更简要的作物生长模型。本文利用黄淮海地区夏玉米试验数据进行GECROS模型的适应性评价,为模型进一步开展区域应用提供依据。结果表明,GECROS基本能够反映黄淮海地区夏玉米的...GECROS是荷兰瓦赫宁根农业大学近些年开发的机理性更强、算法更简要的作物生长模型。本文利用黄淮海地区夏玉米试验数据进行GECROS模型的适应性评价,为模型进一步开展区域应用提供依据。结果表明,GECROS基本能够反映黄淮海地区夏玉米的发育进程。模型模拟夏玉米抽雄期的绝对偏差在6.0 d以内,平均为2.1 d;模拟成熟期的绝对偏差在8.0 d以内,平均为3.4 d。GECROS描述夏玉米干物质积累和叶面积扩展过程的准确度较高。模拟雌穗总重的归一化均方根误差在7.8%~33.8%之间,平均为18.6%;模拟植株地上总重的归一化均方根误差在11.2%~32.6%之间,平均为20.7%;模拟LAI的绝对偏差在0.28~0.55之间,平均为0.41,模拟籽粒产量的绝对偏差在20.3~229.0 g m–2之间,平均为80.9 g m–2。利用GECROS模型相对评价作物生长状况或环境影响基本可行。但GECROS模拟夏玉米发育进程仍存在低值偏高、高值偏低的现象;在土壤水分胁迫较重时,描述的生物量积累过程有偏低情况;描述LAI扩展的总体效果差于生物量累积的效果。GECROS仍需进一步完善。展开更多
文摘[Objective]The research aimed to analyze formation reason of the strong squall weather in the Yellow River and Huaihe River basins on June 3,2009.[Method]Using American NCEP 1°×1° reanalysis data,observation data at automatic weather station,conventional meteorological data,FY-2C satellite cloud image and Doppler weather radar data in Shangqiu,circulation background situation of a strong squall line case on June 3,2009 in the Yellow River and Huaihe River basins was conducted diagnostic analysis.Then,formation reason of the squall weather was discussed.[Result]Increasing convective instable stratification was the favorable situation.Translot in the rear of northeast cold vortex leaded cold air to go south.The rising airflow created by ground meso-scale convergence was as trigger mechanism of the convection.Water vapor from the south continuously supplied.Finally,squall line was formed,and developed.It was a high incidence zone of the thunderstorm and squall line near dry line.[Conclusion]The research provided reference for the future similar weather forecast.
文摘GECROS是荷兰瓦赫宁根农业大学近些年开发的机理性更强、算法更简要的作物生长模型。本文利用黄淮海地区夏玉米试验数据进行GECROS模型的适应性评价,为模型进一步开展区域应用提供依据。结果表明,GECROS基本能够反映黄淮海地区夏玉米的发育进程。模型模拟夏玉米抽雄期的绝对偏差在6.0 d以内,平均为2.1 d;模拟成熟期的绝对偏差在8.0 d以内,平均为3.4 d。GECROS描述夏玉米干物质积累和叶面积扩展过程的准确度较高。模拟雌穗总重的归一化均方根误差在7.8%~33.8%之间,平均为18.6%;模拟植株地上总重的归一化均方根误差在11.2%~32.6%之间,平均为20.7%;模拟LAI的绝对偏差在0.28~0.55之间,平均为0.41,模拟籽粒产量的绝对偏差在20.3~229.0 g m–2之间,平均为80.9 g m–2。利用GECROS模型相对评价作物生长状况或环境影响基本可行。但GECROS模拟夏玉米发育进程仍存在低值偏高、高值偏低的现象;在土壤水分胁迫较重时,描述的生物量积累过程有偏低情况;描述LAI扩展的总体效果差于生物量累积的效果。GECROS仍需进一步完善。
