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首页> 外文期刊>Journal of Hydrology >Evaluation of global land-to-ocean fresh water discharge and evapotranspiration using space-based observations
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Evaluation of global land-to-ocean fresh water discharge and evapotranspiration using space-based observations

机译:利用天基观测评估全球陆地对海洋的淡水排放量和蒸散量

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We estimate global fresh water discharge from land-to-oceans (Q) and evapotranspiration (ET) on monthly time scales using a number of complimentary hydrologic data sets. This estimate is possible due to the new capability of measuring oceanic and land water mass changes from GRACE as well as the space-based measurements of oceanic and land precipitation (P-l) and oceanic evaporation. Monthly time series of Q show peaks in July and January, and those of ET show peaks in March, May and August. Our estimates of Q and ET are correlated with P-l indicating qualitatively that our estimates capture temporal patterns of Q and ET reasonably well. Comparison of our Q with two other previous estimates based on the Global Runoff Data Centre (GRDC) river gauges network shows that our maximum peak in Q occurs about a month later than previous estimates. In addition, we compare our estimation of Q and ET to 20th century simulations from the WCRP CMIP3 multi-model archive assessed in the IPCC 4th Assessment Report. Runoff (R) and ET from AOGCMs tend to only exhibit the annual cycle, but the Q estimated in this study exhibits additional semi-annual variations that exists in P-l as well. In addition, R from the models shows a maximum peak 2 months earlier than the estimated Q, which is due partly to the river discharge time lag that most AOGCMs do not take into account. These results indicate that current AOGCMs exhibit basic shortcomings in simulating Q and ET accurately. The new method developed here can be a useful constraint on these models and can be useful to close budget of global water balance.
机译:我们使用大量免费的水文数据集,按月时间尺度估算陆地对海洋(Q)和蒸散量(ET)的全球淡水排放量。由于GRACE具有测量海洋和陆地水量变化的新功能,以及基于空间的海洋和陆地降水(P-1)和海洋蒸发量的测量功能,因此可以进行此估算。 Q的每月时间序列在7月和1月达到峰值,而ET的时间序列在3月,5月和8月达到峰值。我们对Q和ET的估计与P-1相关,从质上表明我们的估计合理地捕获了Q和ET的时间模式。根据全球径流数据中心(GRDC)河网网络对我们的Q值与其他两个先前的估算值进行比较后,我们发现Q值的最大峰值比先前的估算值晚了一个月。此外,我们将IPCC第四次评估报告中评估的WCRP CMIP3多模型档案库中的20世纪模拟对Q和ET的估计进行了比较。来自AOGCM的径流(R)和ET往往只表现出年周期,但是在这项研究中估计的Q也表现出P-1中也存在的其他半年度变化。此外,模型中的R表示比估计的Q更早2个月的最大峰值,这部分是由于大多数AOGCM没有考虑到河流排放时间的滞后。这些结果表明,当前的AOGCM在精确模拟Q和ET方面显示出基本缺陷。此处开发的新方法可能会对这些模型产生有用的约束,并且可能有助于关闭全球水平衡预算。

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