Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. All 1C products have a common L1C data structure, simple and generic. Each L1C swath includes scan time, latitude and longitude, scan status, quality, incidence angle, Sun glint angle, and the intercalibrated brightness temperature (Tc). The radiometer data are recalibrated to a common basis so that precipitation products derived from them are consistent. 1CAMSUB contains common calibrated brightness temperature from the AMSU-B passive microwave instrument flown on the NOAA satellites. Swath S1 is the only swath and has 5 channels (89.0 +/- 0.9 GHz, 150.0 +/- 0.9 GHz, 183.31 +/- 1 GHz, 183.31 +/- 3 GHz, and 183.31 +/- 7 GHz) AMSU-B is very similar to MHS. The scan period is 2.667s. S1 is the only swath, containing observations sampled 90 times along the scan.

• Browse image link
• Metadata link
• Data link
• Data link
• undefined
• undefined
• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Metadata link

GES_DISC Short Name: GPM_1CNOAA17AMSUB Version ID: 07 Unique ID: C2264133344-GES_DISC

TMI/TRMM precipitation and uncertainty (TMPA) L3 3 hour 0.25 degree x 0.25 degree V001 provides estimates of accumulated precipitation from the Tropical Rainfall Measuring Mission (TRMM) and Other Data Precipitation Data Set (TRMM 3B42; Huffman et al., 2007), along with estimates of the uncertainty in the TRMM 3B42 made by Bytheway and Kummerow (2013). The data set covers both ocean and land from 50 degree North to 50 degree South.

• Browse image link
• Metadata link
• Data link
• Data link
• undefined
• Metadata link

GES_DISC Short Name: WC_MULTISEN_PREC_025 Version ID: 001 Unique ID: C1242287793-GES_DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The 'CLIM' products differ from their 'regular' counterparts (without the 'CLIM' in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the 'CLIM' output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals. The 2AGPROF (Goddard Profiling) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: + TMI (TRMM) + GMI, (GPM) + SSMI (DMSP F11, F13, F14, F15); SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (GCOM-W1) + MHS (NOAA 18,19) + MHS (METOP A,B) + ATMS (NPP) + SAPHIR (MT1) This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are nearrealtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided. The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an apriori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty

• Browse image link
• Metadata link
• Data link
• Data link
• undefined
• undefined
• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Metadata link

GES_DISC Short Name: GPM_2AGPROFNOAA17AMSUB_CLIM Version ID: 07 Unique ID: C2264134325-GES_DISC

A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature dataset is produced daily on a 0.25 degree grid at the NOAA National Centers for Environmental Information. This product uses optimal interpolation (OI) by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (AVHRR) and in situ platforms (i.e., ships, buoys, and Argo floats above 5m depth), and the specific datasets employed may change over time. In the regions with sea-ice concentration higher than 30%, freezing points of seawater are used to generate proxy SSTs. A preliminary version of this dataset is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. The v2.1 (Huang et al. 2021) is updated from the previous AVHRR_OI-NCEI-L4-GLOB-v2.0 data. Major improvements include: 1) In-situ ship and buoy data changed from the NCEP Traditional Alphanumeric Codes (TAC) to the NCEI merged TAC + Binary Universal Form for the Representation (BUFR) data, with large increases of buoy data included to correct satellite SST biases; 2) Addition of Argo float observed SST data as well, for further correction of satellite SST biases; 3) Satellite input from the METOP-A and NOAA-19 to METOP-A and METOP-B, removing degraded satellite data; 4) Revised ship-buoy SST corrections for improved accuracy; and 5) Revised sea-ice-concentration to SST conversion to remove warm biases in the Arctic region. These updates only apply to data after January 1st, 2016. The data pre 2016 are still the same as v2.0 except for metadata upgrades. NCEI has panned to update the entire dataset from 1982 to fix the In-Situ data ingest and bias correction which exist prior 2016.

• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Data link
• Data link
• Browse image link
• Data link
• undefined
• undefined

POCLOUD Short Name: AVHRR_OI-NCEI-L4-GLOB-v2.1 Version ID: 2.1 Unique ID: C2036881712-POCLOUD

The "CLIM" products differ from their "regular" counterparts (without the "CLIM" in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the "CLIM" output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals. 3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality microwave sensors, which are sensitive to liquid and ice-phase precipitation hydrometeors in the atmosphere.

• Browse image link
• Metadata link
• Data link
• undefined
• undefined
• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Metadata link
• Data link

GES_DISC Short Name: GPM_3GPROFNOAA17AMSUB_DAY_CLIM Version ID: 07 Unique ID: C2264135925-GES_DISC