南美大陆-大气耦合在延长南方夏季的亚季节预报性能

Amulya Chevuturi, Nicholas P. Klingaman, Liang Guo, Christopher E. Holloway, Bruno S. Guimarães, Caio A. S. Coelho, Paulo Y. Kubota, Matthew Young, Emily Black, Jessica C.A. Baker, Pier Luigi Vidale
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引用次数: 4

摘要

通过水和能量交换,陆地-大气反馈提供了水文循环的亚季节到季节的可预测性。我们分析了南美(SA)在延长的南方夏季的亚季节陆地-大气耦合对土壤水分-降水和土壤水分-空气温度反馈通路的影响。根据两次再分析,我们评估了1999-2010年共同时期英国气象局、国家环境预测中心(NCEP)、欧洲中期天气预报中心和天气预报与气候研究中心(CPTEC)的全球预报系统的亚季节预测。陆地大气状态的偏差在预测的第一周建立,并随着提前期的增加而增加。到第5周,所有模型仅对南亚北部、东北部和东南部的土壤水分和蒸散有较好的模拟效果,对热带和亚热带南亚的温度有较好的模拟效果。与重新分析相比,预测结果显示,在较长的前导滞后变量之间存在较强的耦合。我们的研究结果突出了CPTEC和NCEP在亚马逊地区的土壤湿度和降水之间的反馈可能存在的缺陷,这是由于最初的干燥土壤湿度偏差造成的,而在南亚东南部地区,所有四种研究模式的土壤湿度和温度之间的反馈可能由于蒸散发的错误表示而存在缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Subseasonal prediction performance for South American land–atmosphere coupling in extended austral summer

Subseasonal prediction performance for South American land–atmosphere coupling in extended austral summer

Land–atmosphere feedbacks, through water and energy exchanges, provide subseasonal-to-seasonal predictability of the hydrological cycle. We analyse subseasonal land–atmosphere coupling over South America (SA) during extended austral summer for the soil moisture-to-precipitation and soil moisture-to-air temperature feedback pathways. We evaluate subseasonal hindcasts from global forecasting systems from the UK Met Office, the National Centers for Environmental Prediction (NCEP), the European Centre for Medium Range Weather Forecasts and the Center for Weather Forecast and Climate Studies (CPTEC), for the common period of 1999–2010, against two reanalyses. Biases in land–atmosphere states are established in the first week of hindcasts and increase with lead time. By Week 5, all the models only demonstrate good performance over northern, northeastern and southeastern SA for soil moisture and evapotranspiration and over tropical and subtropical SA for temperature. The hindcasts show stronger coupling at longer lead–lag between variables than reanalyses. Our results highlight possible deficiencies in feedbacks between soil moisture and precipitation in CPTEC and NCEP forecasts over the Amazon due to initial dry soil moisture biases, and in feedbacks between soil moisture and temperature for all four investigated models over southeastern SA due to erroneous representations of evapotranspiration.

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