[Objective] The research aimed to understand role of the forecast data about physical quantity field in precipitation forecast.[Method] By contrasting forecast and actual situation of the precipitation in Yantai durin...[Objective] The research aimed to understand role of the forecast data about physical quantity field in precipitation forecast.[Method] By contrasting forecast and actual situation of the precipitation in Yantai during 2-3 July and 12-15 September,2011,advantages and disadvantages of the different numerical forecast models (Japan fax chart,European center,MM5,Grapes and T639) were analyzed.[Result] MICAPS system could provide live situation of the physical quantity field,but couldn't provide the future evolution situation.Japan fax chart,European center,MM5,Grapes and T639 could provide future evolution situation of the physical quantity field.[Conclusion] The contrasts and analyses on forecast situations of the physical quantity fields in many precipitation processes showed that evolutions of the vertical velocity,temperature dew point difference,relative humidity and wind field at the different heights could improve forecast accuracy of the precipitation in Yantai.展开更多
Higher education has been in a financially precarious position for many years –facing either a total transformation or elimination. Tuition increases and fewercollege-age students from shifting demographics are prima...Higher education has been in a financially precarious position for many years –facing either a total transformation or elimination. Tuition increases and fewercollege-age students from shifting demographics are primary reasons for thefinancial distress. Alternative financial stability models have assumed linearvariable relationships and improperly calculate the probability of default.Stakeholders have historically relied upon models such as those developed byEdmit and the Department of Education which are inadequate at separatingfinancially sound from unsound universities. We used an Automated MachineLearning approach utilizing multiple models to explain the relationship betweenmetrics and the probability of default/closure allowing for more informedmanagerial decisions. This research, although applied to the homogeneousgroup of small liberal arts universities, can be applied to online and stateuniversities and will allow the opportunity to take preventive steps to mitigatethe likelihood of closing due to financial distress.展开更多
文摘[Objective] The research aimed to understand role of the forecast data about physical quantity field in precipitation forecast.[Method] By contrasting forecast and actual situation of the precipitation in Yantai during 2-3 July and 12-15 September,2011,advantages and disadvantages of the different numerical forecast models (Japan fax chart,European center,MM5,Grapes and T639) were analyzed.[Result] MICAPS system could provide live situation of the physical quantity field,but couldn't provide the future evolution situation.Japan fax chart,European center,MM5,Grapes and T639 could provide future evolution situation of the physical quantity field.[Conclusion] The contrasts and analyses on forecast situations of the physical quantity fields in many precipitation processes showed that evolutions of the vertical velocity,temperature dew point difference,relative humidity and wind field at the different heights could improve forecast accuracy of the precipitation in Yantai.
文摘Higher education has been in a financially precarious position for many years –facing either a total transformation or elimination. Tuition increases and fewercollege-age students from shifting demographics are primary reasons for thefinancial distress. Alternative financial stability models have assumed linearvariable relationships and improperly calculate the probability of default.Stakeholders have historically relied upon models such as those developed byEdmit and the Department of Education which are inadequate at separatingfinancially sound from unsound universities. We used an Automated MachineLearning approach utilizing multiple models to explain the relationship betweenmetrics and the probability of default/closure allowing for more informedmanagerial decisions. This research, although applied to the homogeneousgroup of small liberal arts universities, can be applied to online and stateuniversities and will allow the opportunity to take preventive steps to mitigatethe likelihood of closing due to financial distress.
