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Evaluation of Different Heat Flux Products Over the Tropical Indian Ocean

机译:在热带印度洋上的不同热量产品评估

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Net heat flux (Qnet) and its components from four reanalysis (NCEP‐2, CFSR, ERA5, and MERRA) and two blended products (OAFlux & TropFlux) are compared with in situ observation (two Research Moored Array for African‐Asian‐Australian Monsoon Analysis and Prediction buoys and one Woods Hole Oceanographic Institution buoy) over the north Indian Ocean to quantify their uncertainties in daily, seasonal, and annual scales. These comparisons provide the present status of Qnet error in most state of the art reanalysis/blended products. The root‐mean‐square error (RMSE) remains similar to the RMSE a decade earlier, despite more observation and improved models and reanalysis methods. However, there is a clear separation of flux quality from the older generation of reanalysis (NCEP‐2) to the newer production of reanalysis (MERRA, CFSR, and ERA5). While individually ERA5 provides the best estimate, the ensemble mean (i.e., average of ERA5, CFSR, MERRA, TropFlux, and OAFlux) is very close to ERA5 both in terms of correlations and RMSE and provides the most reliable estimate by virtue of removal of some of the uncertainties in estimation of flux by each of the flux products. A significant reduction of RMSE in Qnet estimates from 100 W/m2 (in NCEP‐2) to 45 W/m2 (in the ensemble mean) is considerable progress. It is noteworthy that all the recent flux products estimate the increasing trend of Qnet in the north Bay of Bengal and subseasonal fluctuations with significant fidelity. Also, in the south of equator location vigorous subseasonal fluctuations in boreal winter are well captured. We believe that this is significant progress in the estimation of Qnet over the Indian Ocean.
机译:与四次再分析(NCEP-2,CFSR,ERA5和MERRA)和两个混合产品(Oaflux&Tropflux)的净热量(QNET)及其组件与原位观察(两项研究停泊阵列)进行比较(非洲亚洲澳大利亚北印度洋的季风分析和预测浮标和一个伍兹孔海洋学机构浮标,以量化日常,季节性和年度的不确定性。这些比较提供了在最艺术Reanysis / Blubed产品的大多数状态下的QNet错误的现状。尽管有更多的观察和改进的模型和再分析方法,但是根本平均误差(RMSE)仍然与十年的RMSE相似。然而,从较老一代的再分析(NCEP-2)到较新的Reanysis(Merra,CFSR和ERA5),有明显的助焊剂质量分离。虽然单独的ERA5提供了最佳估计,但在相关性和RMSE方面都非常接近ERA5的ERA5,ERA5,CFSR,MERRA,TRECFLUX和OAFLUX的平均值,并提供了最可靠的估计通过每个助焊剂产品估计通量的一些不确定性。从100 W / M2(在NCEP-2)到45W / m2(在合奏均值中)的QNET估计中的RM​​SE的显着降低是相当大的进展。值得注意的是,最近的所有助推剂产品估算了孟加拉北湾QNET的日益增长的趋势,具有显着保真度。此外,在赤道地区的南部,北冬的剧烈灌肠波动很好地捕获。我们认为这是在印度洋估计QNet中的重要进展。

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