The SACA dataset contains
10108 series of observations for
9 elements at
8301 meteorological stations throughout Southeast Asia.
Both blended and non-blended SACA series are available. Blended series are series that are near-complete by infilling from nearby stations. They are also updated using synoptical messages. Only these blended series are further analysed in SACA&D and used for gridding. Details of the blend and update proces are given in the specific FAQ or in Project info > ATBD.
Meteorologogical observations are taken at many stations accross Southeast Asia, each day. To minimize the effects of changes over time in the way the measurements were made, rigorous quality control is applied before the data is used to analyse extremes. Meta data describing the observation site and instrumentation guides this process. Improving the dataset requires continuous effort.
Meta information for the daily series is provided below, both for the blended and non-blended series. The blended series have been tested for homogeneity, which is relevant to assess the quality of each series for climate change research. Meta information for the stations is also provided, including site pictures and land use data if available (first menu item).