3B42 and 3B43 are available in 0.25° spatial resolution, covering 50°N to 50°S for 1998-present.Due to the fact that TMPA timeseries are bulit up with estimates from  constantly varying data sources, it is likely that inhomegeneities in the temporal record exist. The basis for this difference is not explicated at this point, but the value is small enough and consistent enough that we chose to release the data.Note: As discussed below, up through September 2014 calibration to TCI was computed on a month-to-month basis. ]To be explicit, it is planned that TMPA (and TMPA-RT) will be delivered in parallel with the IMERG runs for 3+ months after IMERG V06 is completed.The retrospective processing for IMERG that we expect to release in early 2019 should take us back to June 2000. See Huffman (1997) for a complete description. The Level-1A Product file, ”1A-01,” is a concatenation of Header record, Spacecraft Attitude packets, VIRS Housekeeping Data packets, VIRS Science Data packets, QACs, and an MDUL. Such detail will not be suitable for all users, so we will need to produce a simplified error estimate as well.Behrangi, A., G. Stephens, R.F. Currently, the GPM Microwave Imager (GMI) is the reference instrument for calibrating the other sensors. When using the LIS/OTD Read Software, an entire orbits worth of background images can be displayed in a simple animation to allow a quick way to see if interesting cloud systems (hurricanes, MCSs, Frontal systems, etc.) The Tropical Rainfall Measuring Mission (TRMM) is a joint space mission between NASA and Japan's National Space Development Agency designed to monitor and study tropical and subtropical precipitation and the associated release of energy. The 1C data product is the lowest level passive-microwave data product that most researchers are interested in examining, although some instruments have more primitive data products available from the GPM project. VIRS is similar to the Advanced Very High Resolution Radiometer (AVHRR) now in operation on polar-orbital environmental satellites.The TRMM Visible and Infrared Scanner (VIRS) Level 1B Calibrated Radiance Product (1B01) contains calibrated radiances and auxiliary geolocation information from the five channels of the VIRS instrument, for each pixel of each scan.

The flip side of this is that the early part of the TMPA record has over 50% coverage by microwave-calibrated IR estimates, and the IR coverage declines to 20% coverage in some recent years. The mission uses 5 instruments: Precipitation Radar (PR), TRMM Microwave Imager (TMI), Visible Infrared Scanner (VIRS), Clouds & Earths Radiant Energy System (CERES) and  Lightning Imaging Sensor (LSI). This section outlines the different types of data available, the levels of processing, the sources to download the data, and some helpful tips for utilizing precipitation data in your research. As well, it hosts has a one-stop set of web pages specifically aimed at new users, listing all of the basic and derived TRMM and GPM datasets available through Goddard Space Flight Center:These pages include documentation about the data sets and algorithms, and contact information. Level-1A remains in a binary format and is not in HDF. The point of handing out the data at fine scales with large uncertainty is that the Wang, J.-J., R.F. Bolvin, 2014:  An Updated TRMM Composite Climatology of Tropical Rainfall and Its Validation.
The timeline for this shift is still under discussion. The Level-1B format groups like data together.The Level-1A product consists of two files: the Level-1A Product file and the SFDU header file. High and low spatial resolution grids are defined such that the high-resolution grid is 0.250 × 0.250 (lat×lon) while the low resolution grid is 50 × 50.

The difference between climate products and standard-research products is that climate products use ancillary data that are not produced until approximately 3 months after the satellite observations are made.The Level 1C algorithms calculate calibrated brightness temperature values so that the brightness temperature form an individual sensor is consistent with the brightness temperature from other passive-microwave sensors. For this reason, 3B43 is the preferred dataset for monthly values.The TRMM data system was designed to provide episodic, complete reprocessings of the TRMM products to take advantage of ongoing research to improve the various scientific algorithms. There are in general 18,026 scans along the orbit pre-boost and 18,223 post-boost, with each scan consisting of 261 pixels. Likewise, the TMPA 3B42 and 3B43 analyses have continued into the GPM era, but are slated to end production at the end of 2019.

The TMI and PR are the main instruments used for precipitation.  http://climatedataguide.ucar.edu/climate-data/trmm-tropical-rainfall-measuring-missionThe National Center for Atmospheric Research is sponsored by the National Science Foundation. Such variations should steer users away from the TMPA to the GPCP for climate studies. TRMM was successfully launched on November 27, 1997 at 4:27 PM (EST) from the Tanegashima Space Center in Japan. [We recognize that the real-time version of 3B42, 3B42RT, has a strong application focus, and expect to run it until the equivalent IMERG products are satisfactory, planned for early 2019. See IMERG monthly This dataset algorithmically merges microwave data from multiple satellites, including SSMI, SSMIS, MHS, AMSU-B and AMSR-E, each inter-calibrated to the TRMM Combined Instrument.
Orbital and gridded TRMM data can be downloaded here. The main difference between the IMERG Early and Late Run is that Early only has forward propagation (which basically amounts to extrapolation), while the Late has both forward and backward propagation (allowing interpolation). However, recent work shows some promise of getting a handle on error estimation, for example using the work by Maggioni and collaborators:Maggioni, V., M.R.P.

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