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Meteorological variables used in this study, as derived from the ERA-Interim reanalysis.

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https://figshare.com/articles/dataset/Meteorological_variables_used_in_this_study_as_derived_from_the_ERA-Interim_reanalysis_/11921988
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The following statistics have been computed for all variables: Mean, 1st Quartile (bottom Q), Median, 3rd Quartile (top Q), Standard Deviation of the original time series (SD), Standard Deviation of monthly means (SD S, representing intra-annual variations) and temporal variations (representing short-term ‘gradients’). The latter are computed according to daily or 6-hourly steps (see column Step). For 6-hourly variables, increments are increased by 10% at each subsequent steps (out to 5 steps, i.e. 30 hours) and by 15% for daily steps (out to 5 days). For air temperature (at 2 m height), also daily excursions are calculated using two additional variables, Tmin and Tmax, available at 6-hour intervals.

已针对所有变量计算得到如下统计量:均值(Mean)、第一四分位数(下四分位数,1st Quartile,bottom Q)、中位数、第三四分位数(上四分位数,3rd Quartile,top Q)、原始时间序列标准差(Standard Deviation of the original time series,SD)、月均值标准差(Standard Deviation of monthly means,SD S,用于表征年内变异)以及时间变异量(temporal variations,用于表征短期"梯度")。后者将依据日度或6小时间隔进行计算(详见Step列)。针对6小时间隔变量,每后续一个时间步的增量将较前一步递增10%(最多覆盖5步,即30小时);针对日度变量,每后续一个时间步的增量将较前一步递增15%(最多覆盖5天)。针对2米高度处的气温,还将通过两个额外的6小时间隔变量——最低气温(Tmin)与最高气温(Tmax)——计算每日气温波动幅度。
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2020-03-02
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