Starting at 08:38 UTC PPS stopped getting data from the GPM Mission Operations Center. Data was resumed at 17:21 UTC. However, new GPS data was sent before older GPS data. The science data was sent out of order with the GPS data. This meant that about 125 mins of 1B and 1C GMI data had no geolocation and perhaps more after this had questionable geolocation. The same issues obviously also affected the radar and combined NRT which are just missing for the period between 8:30 UTC and 17:30 UTC.
The issues with NOAA's 4-km Merged IR data are closed and the IMERG Early and Late Runs have been restarted from the point at which they stopped. This will provide a continuous record for each, but it also means that it will take a while to process the backlog of data and catch up to the nominal latency.
Due to an outage of the input 4-km IR data, the IMERG early and late runs began failing to execute on the April 14. Because of the loss of NOAA hourly IR data, PPS has had to shut off the production of NRT early and late IMERG production. We have received no valid IR data since April 14 17:00 UTC and no IR data at all since April 15 09:00 UTC.
The software is able to deal with bad data by skipping it but it is currently not configured to handle the situation of not receiving any data at all.
Rain, snow, hail, ice, and every mix in between make up the precipitation that touches everyone on our planet. But precipitation doesn't fall equally in all places around the world, as seen in NASA's new animation that captures every shower, snowstorm and tropical cyclone over a six-day period in August 2014. The time lapse was created from data captured by the Global Precipitation Measurement (GPM) satellite mission, now just over a year old, which scientists are using to better understand freshwater resources, natural disasters, crop health and more.
The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) has recently added all of the half-hourly and monthly *Final* IMERG data variables to the next generation of Giovanni, Giovanni-4 (G4). Giovanni is a Web-based application developed by the GES DISC that provides a simple and intuitive way for users to visualize, analyze, and access vast amounts of Earth science remote sensing data, without having to download the data.
The Global Precipitation Measurement mission has produced its first global map of rainfall and snowfall.
Like a lead violin tuning an orchestra, the GPM Core Observatory – launched one year ago on Feb. 27, 2014, as a collaboration between NASA and the Japan Aerospace Exploration Agency – acts as the standard to unify precipitation measurements from a network of 12 satellites. The result is NASA's Integrated Multi-satellite Retrievals for GPM data product, called IMERG, which combines all of these data from 12 satellites into a single, seamless map.
PPS is re-releasing the first public version IMERG products The Integrated Multi-satellitE Retrievals for GPM (IMERG) merges precipitation estimates from passive microwave sensors, geo-IR, and monthly surface precipitation gauge analysis data (where available) to provide half-hourly and monthly precipitation estimates and related fields on a 0.1° lat./long. grid over the domain 60°N-S.
The transition from the Tropical Rainfall Measuring Mission (TRMM) data products to the Global Precipitation Measurement (GPM) mission products is well underway. This document specifically addresses the multi-satellite products, the TRMM Multi-satellite Precipitation Analysis (TMPA), the real-time TMPA (TMPA-RT), and the Integrated Multi-satellitE Retrievals for GPM (IMERG).
The most accurate and comprehensive collection of rain, snowfall and other types of precipitation data ever assembled now is available to the public. This new resource for climate studies, weather forecasting, and other applications is based on observations by the Global Precipitation Measurement (GPM) Core Observatory, a joint mission of NASA and the Japan Aerospace Exploration Agency (JAXA), with contributions from a constellation of international partner satellites.
This document describes the algorithm and processing sequence for the Integrated Multi-satellitE Retrievals for GPM (IMERG). This algorithm is intended to intercalibrate, merge, and interpolate “all” satellite microwave precipitation estimates, together with microwave-calibrated infrared (IR) satellite estimates, precipitation gauge analyses, and potentially other precipitation estimators at fine time and space scales for the TRMM and GPM eras over the entire globe. The system is run several times for each observation time, first giving a quick estimate and successively providin