>One way to reduce model uncertainty in climate predictions is to combine forecasts from several models. Recent multi‐model'/>
机译:使用所有数据来改善季节性海面温度预测:基于组合的模型预测,具有不等观察长度
School of Civil and Environmental EngineeringThe University of New South WalesSydney New South Wales Australia;
School of Civil and Environmental EngineeringThe University of New South WalesSydney New South Wales Australia;
School of Civil and Environmental EngineeringThe University of New South WalesSydney New South Wales Australia;
model combination; seasonal prediction; sea surface temperature; unequal data length;
机译:使用所有数据来改善季节性海面温度预测:基于组合的模型预测,具有不等观察长度
机译:每月到热带大西洋海面温度的季节性预测,统计模型从基尔气候模型的观测和数据构成
机译:CMIP6基于模型的海面温度季节性预测在中国海近地区的季节性预测
机译:基于模型的次区域经验正交函数(EOF)模式,根据观测数据重建波罗的海东北部的海温和盐度场
机译:使用数据驱动的全球天气预报模型的大型集合的子季节预测
机译:地表初始化提高了玉米产量预报的季节性气候预测能力
机译:使用改进的海面温度预测,全球季节性降水预测