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Typhoon Megi Hits Taiwan

Three typhoons have battered Taiwan in the past few weeks. Super Typhoon MERANTI, the strongest typhoon of the year, caused havoc as it passed to the south of Taiwan on September 14, 2016. Typhoon Malakas clipped northeastern Taiwan a few days later. Typhoon Megi has now caused injuries, deaths and destruction as it passes over northeastern Taiwan. The GPM core observatory satellite passed over on September 26, 2016 at 2231 UTC when typhoon Megi was approaching Taiwan from the Philippine Sea. Megi was intensifying with maximum sustained wind speeds estimated at 100kts (115 mph). The typhoon's

GPM Views Still Energetic Tropical Depression Karl

Tropical Depression Karl's strength has fluctuated. Karl formed on September 14th in the eastern Atlantic, strengthened to tropical storm intensity on September 16th and was downgraded to a tropical depression yesterday. The GPM core observatory satellite had an outstanding view of Karl when it passed above today at 1201 UTC (8:01 AM EDT). Data collected by GPM's Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR) instruments uncovered heavy rainfall inside storms within the tropical depression. DPR found that powerful convective storms near Karl's center of circulation were

Remnants Of Post Tropical Storm Julia Checked By GPM

The National Hurricane Center (NHC) issued the last advisory on post tropical storm Julia on September 19, 2016 but the remnants have persisted off the Southeast coast. The remnants of the low are interacting with a slow moving frontal system and are now dropping rain over eastern North Carolina and Virginia. The GPM core observatory satellite flew over this area on Tuesday September 20, 2016 at 7:31 PM EDT (2331 UTC). The satellite's Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR) instruments showed the location and intensity of heavy rainfall within this area of low

GPM Transitioning its Web-based Global Displays

What: Google Earth access for near-realtime IMERG and 3B42 KML files will be replaced by an updated service for viewing precipitation data in near-real time on a 3D virtual globe using Cesium ( https://cesiumjs.org/). When: The current plan is to make the cut-over to the new Cesium-based service on or about October 16, 2016. Why: The evolution of network policies and applications prevents continued GPM use of Google Earth. Note: If you wish to continue using KML files with a non-Google Earth client, please contact the Precipitation Measurement Missions at: https://pmm.nasa.gov/contact

PPS Down for Maintenance Tuesday September 20, 2016

The PPS (Precipitation Processing System) will be down today, September 20,2016 from 8:00am -2:00pm EDT (12:00 - 18:00 UTC). for scheduled maintenance. During this time all data transfers between PPS source and its consumer systems (GDAAC/DISC) as well as Science User services (FTP and STORM access) will be unavailable. You may contact PPS Operations at 301-614-5247 , 301-614-5184 or fax us at 301-614-5269 if there are any urgent matters requiring our immediate attention during this period. You will be informed when PPS systems become available. We apologize for any inconvenience this may

GPM Sees Typhoon Malakas Starting To Batter Japan

September 19, 2016 0046 UTC September 19, 2016 1031 UTC After causing high winds and heavy rainfall over northern Taiwan, typhoon Malakas is now starting to batter the islands of southern Japan. The GPM core observatory satellite passed above typhoon Malakas twice on September 19, 2016. The first time was at 0046 UTC when the typhoon was starting to cause light to moderate rainfall over the island of Kyushu. At 1031 UTC GPM showed that moderate to heavy rainfall was moving over Kyushu and the typhoon's appearance had changed significantly. The change in appearance was credited to increased

3D Precipitation Structure Within Hurricane Orlene Examined By GPM Satellite

Orlene, the 9th hurricane of the 2016 eastern Pacific season has weakened to a tropical storm. The GPM core observatory satellite flew over on September 15, 2016 at 1801 UTC when Orlene was still a hurricane with winds reaching about 70 kts (81 mph). Hurricane Orlene's rainfall was examined in 3-D using data collected by the GPM satellite's Dual-Frequency Precipitation Radar (DPR). This digital "CAT scan" like view inside hurricane Orlene shows the locations of the most intense rainfall. An area of heavy downpours was uncovered near the center of Orlene's center of circulation. Radar

PPS Down for Extended Maintenance, Sunday September 18, 2016

The PPS (Precipitation Processing System) will be down Sunday September 18, 2016 -estimated time from 10:00am to 6:00pm EDT (14:00 - 22:00 UTC) for Special Unscheduled Maintenance. Please note: although it is unlikely, due to unforeseen events PPS systems might be down overnight and only be available starting Monday morning, September 19, 2016. During this time, all data transfers between PPS source and its consumer systems (GDAAC/DISC) as well as Science User services (FTP and STORM access) will be unavailable. You may e-mail “sysgods@mail.pps.eosdis.nasa.gov” if there are any urgent matters

GPM Observes Weakening Tropical Storm Julia

Tropical storm Julia was recently downgraded to a tropical depression. The GPM core observatory satellite had an excellent view of tropical storm Julia on September 14, 2016 at 9:36 PM EDT ( September 15, 2016 0136 UTC). Julia was barely a tropical storm at that time with maximum sustained winds of about 40 mph ( 35 kts). Over the past few days Julia has dropped heavy rain along the Atlantic coastline from northeastern Florida to North Carolina. Some areas have received over 8 inches (203 inches) during the past few days. The GPM satellite measured Julia's rainfall and found that intense

SSMIS Outage Affecting TMPA and IMERG

FNMOC is behind in providing the SSMIS data used in IMERG. Therefore, the Early and possibly Late IMERG products will contain less satellite estimates and be of somewhat lesser quality. FNMOC stopped providing data around 00 UTC today (8 September 2016), meaning there has been no data available from the three operational SSMIS sensors to the TMPA-RT datasets. As a result, more lower-quality IR-based estimates are being used. In addition, if there are dropouts in the IR data, there is a higher probability that gaps will appear in the combined product, 3B42RT. We will update the situation when