Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2020.105103 |
A meteorological analysis interpolation scheme for high spatial-temporal resolution in complex terrain | |
Enric Casellas, Joan Bech, Roger Veciana, Josep Ramon Mir, ... Nicolau Pineda | |
2020-06-19 | |
发表期刊 | Atmospheric Research
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出版年 | 2020 |
英文摘要 | An adaptive high-temporal resolution interpolation scheme for meteorological observations is presented. It stems from a combination of linear regression, anomaly correction and clustering. A number of approaches to tackle this problem for monthly and daily data have been proposed in the past, but interpolation studies at sub-daily temporal scales are much more limited. Hourly and sub-hourly observational datasets use to present high variability that may be related to different weather conditions. In the proposed methodology, rather than considering the whole data set to perform the interpolation, data are divided in different clusters of variable size, separating regions with potential dissimilar behaviour. A linear regression model is calculated for each cluster and compared against a global model obtained considering all the observations. Only those clusters whose regression model yields a reduction of errors compared to the global model are selected. The adaptive condition lays on that several numbers of clusters are tested and the one that performs the best, in terms of Root Mean Square Error, is selected every time an interpolation is conducted. The methodology presented provides gridded analysis fields of hourly and sub-hourly intervals at 250 m of horizontal resolution. It was originally developed for a complex terrain region (Catalonia, NE Spain), and it was also demonstrated in the German Land of Baden-Wrttemberg and in the Italian region of Emilia-Romagna. Results show a reduction of cross-validation errors using the leave-one-out method for air temperature and dew point temperature fields and a proper representation of complex orography features. The scheme presented is implemented in Python as pyMICA and it is available as open-source software. |
领域 | 地球科学 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/276503 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Enric Casellas, Joan Bech, Roger Veciana, Josep Ramon Mir, ... Nicolau Pineda. A meteorological analysis interpolation scheme for high spatial-temporal resolution in complex terrain[J]. Atmospheric Research,2020. |
APA | Enric Casellas, Joan Bech, Roger Veciana, Josep Ramon Mir, ... Nicolau Pineda.(2020).A meteorological analysis interpolation scheme for high spatial-temporal resolution in complex terrain.Atmospheric Research. |
MLA | Enric Casellas, Joan Bech, Roger Veciana, Josep Ramon Mir, ... Nicolau Pineda."A meteorological analysis interpolation scheme for high spatial-temporal resolution in complex terrain".Atmospheric Research (2020). |
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