Version 07 data provides precipitation and cloud hydrometeor profiles retrieved from SSMIS sensor brightness temperatures using a Bayesian algorithm. The product is part of the GPM constellation, offering near-real-time, standard, and climate data versions with differing ancillary inputs. NASA's GES DISC archives and distributes this dataset.
Use Cases
- Analyzing mean rain rate and vertical hydrometeor structure for storm system studies.
- Comparing retrieved brightness temperature (Tb) simulations across different constellation sensors like SSMIS, GMI, and AMSR2.
- Assessing precipitation uncertainty estimates provided by the Bayesian retrieval algorithm.
- Investigating 3-hour global precipitation coverage achieved by the GPM constellation data fusion.
- Using climate product data with ECMWF reanalysis for long-term, consistent precipitation records.
Strengths
- Algorithm uses a consistent a-priori database of rain profiles for uniform retrieval across multiple satellite sensors.
- Provides three product types (near-real-time, standard, climate) tailored for different latency and consistency needs.
Limitations
- Specific spatial resolution, temporal coverage, and row count for the SSMIS F18 product are not provided in the input.
- Earlier mission data required for long-term climate analysis may be archived separately, complicating seamless time-series construction.
Provenance
- Source
- NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).
- Collection Method
- Precipitation profiles retrieved from SSMIS sensor on DMSP F18 satellite using the Goddard Profiling (2AGPROF) Bayesian algorithm.
- Time Range
- null
- Freshness
- Update frequency is not specified, but products are generated within 3 hours (NRT), 48 hours (standard), and 3 months (climate) of data collection.
- Geography
- Global coverage as part of the GPM constellation's observation network.