Development and analysis of a 50-year high-resolution daily gridded precipitation dataset over Spain (Spain02)

Development and analysis of a 50-year high-resolution daily gridded precipitation dataset over Spain (Spain02)
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DOI:
10.1002/joc.2256
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发表时间:
2012-01-01
期刊:
INTERNATIONAL JOURNAL OF CLIMATOLOGY
影响因子:
--
通讯作者:
Fernandez, J.
Fernandez, J.
中科院分区:
其他
文献类型:
--
作者:
Herrera, S.;Gutierrez, J. M.;Fernandez, J.

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在本文中,我们提出了一个新的公开的高分辨率每日降水网格数据集开发的半岛西班牙和巴利阿里群岛使用2756质量控制站(此数据集被称为Spain 02)。网格有一个规则的0.2度(约。20公里)的水平分辨率,并跨越1950年至2003年的时期。不同的插值方法进行了测试,使用交叉验证的方法来比较所得的插值站数据:克里金,角距离加权,薄平面样条。最后,在两个步骤的过程中应用克里格法生成网格。首先,使用二进制克里金法对发生率进行插值,第二步,通过对发生率结果应用普通克里金法对数量进行插值。该过程类似于用于生成E-OBS网格数据的插值方法,该数据是本研究中用于比较目的的欧洲最先进的公开高分辨率每日数据集。气候统计数据和极端值指标从所产生的网格进行了比较,从25公里的E-OBS数据集使用观测站记录作为参考。Spain 02忠实地再现了年降水量、累积量和变率等气候特征,而E-OBS在南部地区存在一些不足。当重点放在上半球和极端降水制度的其他指标时,Spain 02准确地再现了观测到的极端指标的数量和空间分布,而由于该地区使用的数据稀疏,E-OBS数据在西班牙存在严重的局限性。由于极端值对插值更为敏感,这一新数据集的密集台站覆盖对于准确再现极端值至关重要。版权所有(C)2010皇家气象学会
In this paper, we present a new publicly available high-resolution daily precipitation gridded dataset developed for peninsular Spain and the Balearic islands using 2756 quality-controlled stations (this dataset is referred to as Spain02). The grid has a regular 0.2 degrees (approx. 20 km) horizontal resolution and spans the period from 1950 to 2003. Different interpolation methods were tested using a cross-validation approach to compare the resulting interpolated values against station data: kriging, angular distance weighting, and thin plane splines. Finally, the grid was produced applying the kriging method in a two-step process. First, the occurrence was interpolated using a binary kriging and, in a second step, the amounts were interpolated by applying ordinary kriging to the occurrence outcomes. This procedure is similar to the interpolation method used to generate the E-OBS gridded datathe state-of-the-art publicly available high-resolution daily dataset for Europewhich was used in this study for comparison purposes. Climatological statistics and extreme value indicators from the resulting grid were compared to those from the 25 km E-OBS dataset using the observed station records as a reference. Spain02 faithfully reproduces climatological features such as annual precipitation occurrence, accumulated amounts and variability, whereas E-OBS has some deficiencies in the southern region. When focusing on upper percentiles and other indicators of extreme precipitation regimes, Spain02 accurately reproduces the amount and spatial distribution of the observed extreme indicators, whereas E-OBS data present serious limitations over Spain due to the sparse data used in this region. As extreme values are more sensitive to interpolation, the dense station coverage of this new data set was crucial to get an accurate reproduction of the extremes. Copyright (C) 2010 Royal Meteorological Society