The GPM core observatory satellite had another excellent view of typhoon IN-FA on November 19, 2015 at 0305 UTC. This GPM pass revealed the location of typhoon IN-FA's eye beneath dense overcast. Rainfall derived from data collected by GPM's Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR) instruments show that feeder bands around IN-FA were getting better organized. The most intense precipitation was measured in IN-FA's eye wall by DPR where it was falling at a rate of almost 55 mm (2.16 inches) per hour. Most rainfall in feeder bands was shown by GPM to be only light to

One of our scientists noticed that the 85GHz H and V channels have missing values in ascending passes just south of 20 deg S. In that region it appears consistently since 10:45UTC which is the earliest we checked. The other channels seem fine. The counts for the 85GHz channels appear to be fine as is the geolocation. However both the 1B and 1 Base files have the missing values in that area. We are checking what is causing the algorithm to list the values as missing. Please keep this in mind when using those channels.

On November 18, 2015 at 1533 the GPM core observatory satellite flew directly over a recently formed typhoon called IN-FA that was located near the Equator well to the southeast of Guam. Favorable environmental conditions such as low vertical wind shear and warm sea surface temperatures helped typhoon IN-FA intensify quickly from a tropical depression on November 17 to a typhoon on November 18, 2015. Rainfall from GPM's Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR) instruments were used to analyze the rainfall around typhoon IN-FA. GPM's DPR found that rain was falling at

During the past week extreme rainfall from two unnamed slow moving tropical lows has causing severe flooding in southern India. This flooding has caused the reported deaths of as many as 71 people. The city of Chennai in the state of Tamil Nadu has been hit exceptionally hard with 59 people people killed. NASA's Integrated Multi-satellite Retrievals for GPM (IMERG) combines all data from 12 satellites into a global map of rainfall at half hourly intervals. The rainfall accumulation analysis above was computed from data generated by IMERG during the past week from November 9-16, 2015. An