
- 1Hourly data from surface meteorological stations in China
- 2The real-time product dataset of the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0)
- 3The near-real-time product dataset of the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0)
- 4Data of specific synoptic hours from upper air stations in China
- 5Dataset of daily climate data from Chinese surface stations for global exchange
- 6Dataset of daily climate data from Chinese surface stations for global exchange (V3.0)
- 7Data of specific synoptic hours from global surface weather stations
- 8Dataset of daily surface observation values in individual years (1981-2010) in China
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The basic reflectivity products are the basic radar detection values in unit of Dbz, and each pixel of radar imagery represents the total back-scattering energy of cloud-droplet objects within a 1km*1°beam volume.
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The vertically accumulated liquid water content represents the equivalent liquid water value converted from reflectivity factor, assuming that the reflectivity factor is caused by liquid water in objects, and it is derived from empirical relationship.
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1-hour accumulated precipitation product adopts hourly accumulation when each volume scan is completed, i.e. the precipitation rates in every 2km*1°sample bank are accumulated in a time sequence after each volume scan in order to get an hourly precipitation amount, and they are output by the end of each volume scan. It requires 54-minute continuous volume scanned data at least to generate a product (an interval of volume scans is less than 30 minutes).
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Composite reflectivity factor is a product in which the largest reflectivity factor detected from constant elevation-azimuth scans within a volume scan has been projected onto a Cartesian grid point.