Precipitation - Products

P-IN-SSMIS (H01 new rel)
Instantaneous precipitation maps from PMW acquisitions by conical scanners on operational LEO satellites, processed soon after each satellite pass. Retrieval algorithm based on physically-based Bayesian approach supported by a pre computed cloud/dynamic-radiation database built from meteorological situations simulated by a cloud resolving model followed by a radiative transfer model. DETAIL DOWNLOAD
P-IN-MHS (H02B)
Instantaneous precipitation maps from PMW acquisitions by cross-track scanners on operational LEO satellites, processed soon after each satellite pass. Retrieval algorithm based on a neural network trained by means of a pre-computed cloud radiation database built from meteorological situations simulated by a cloud resolving model followed by a radiative transfer model DETAIL DOWNLOAD
P-IN-SEVIRI (H03B)
Instantaneous precipitation maps by IR images from operational geostationary satellites “calibrated” by precipitation measurements from PMW satellite sensors in sun-synchronous orbits, processed soon after each GEO acquisition. The calibrating lookup tables are updated after each new pass of a MW-equipped satellite DETAIL DOWNLOAD
P-AC-SEVIRI (H05B)
Accumulated precipitation by merging MW images from operational sun-synchronous satellites and IR images from GEO satellites (i.e., product P-IN-SEVIRI). Integration is performed over 3, 6, 12 and 24 h. In order to reduce biases, the satellite-derived field is forced to match raingauge observations DETAIL DOWNLOAD
P-IN-SEVIRI-CO (H15A)
Instantaneous precipitation maps by IR images from operational geostationary satellites “calibrated” by precipitation estimates from MW radiometers on board LEO satellites, processed soon after each GEO acquisition. The calibrating lookup tables are updated after each new pass of a MW-equipped satellite DETAIL DOWNLOAD
P-IN-ATMS (H18)
Precipitation rate at ground for the MSG/MTG full disk area from cross-track scanning radiometer ATMS on board the NOAA/NASA Suomi-NPP LEO satellite, processed soon after data availability. The product is based on the Neural Network approach (as used in P-IN-MHS product) DETAIL DOWNLOAD