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Surface-sensible and latent heat fluxes over the Tibetan Plateau from ground measurements, reanalysis, and satellite data

机译:根据地面测量,再分析和卫星数据,青藏高原上的表面感热通量和潜热通量

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Estimations from meteorological stations over the Tibetan Plateau (TP) indicate that since the 1980s the surface-sensible heat flux has been decreasing continuously, and modeling studies suggest that such changes are likely linked to the weakening of the East Asian Monsoon through exciting Rossby wave trains. However, the spatial and temporal variations in the surface-sensible and latent heat fluxes over the entire TP remain unknown. This study aims to characterize the spatial and seasonal variability of the surfacesensible and latent heat fluxes at 0.5° over the TP from 1984 to 2007 by synthesizing multiple data sources including ground measurements, reanalysis products, and remotesensing products. The root mean square errors (RMSEs) from cross validation are 14.3Wm~(-2) and 10.3Wm~(-2) for the monthly fused sensible and latent heat fluxes, respectively. The fused sensible and latent heat-flux anomalies are consistent with those estimated from meteorological stations, and the uncertainties of the fused data are also discussed. The associations among the fused sensible and latent heat fluxes and the related surface anomalies such as mean temperature, temperature range, snow cover, and normalized difference vegetation index (NDVI) in addition to atmospheric anomalies such as cloud cover and water vapor show seasonal dependence, suggest that the land-biosphere-atmosphere interactions over the TP could display nonuniform feedbacks to the climate changes. It would be interesting to disentangle the drivers and responses of the surface-sensible and latent heat-flux anomalies over the TP in future research from evidences of modeling results.
机译:来自青藏高原(TP)的气象台站的估算表明,自1980年代以来,地表感热通量一直在下降,建模研究表明,这种变化很可能与令人兴奋的Rossby波列与东亚季风的减弱有关。 。但是,整个TP上的表面感热通量和潜热通量的时空变化仍然未知。这项研究旨在通过综合多个数据源(包括地面测量值,再分析产品和遥感产品)来表征1984年至2007年TP上0.5°处的表面感热通量和潜热通量的空间和季节变化。交叉验证的月均感热通量和潜热通量的均方根误差(RMSE)分别为14.3Wm〜(-2)和10.3Wm〜(-2)。融合的感热通量和潜热通量异常与气象站估计的一致,并讨论了融合数据的不确定性。感热和潜热通量与相关表面异常(例如平均温度,温度范围,积雪和归一化植被指数(NDVI))之间的关联以及大气异常(例如云层和水汽)之间的关联显示出季节依赖性,表明TP上的土地-生物圈-大气相互作用可能显示出对气候变化的不均匀反馈。在未来的研究中,从建模结果的证据中解开TP上的表面敏感和潜热通量异常的驱动因素和响应将很有趣。

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