satellite mission to provide next-generation observations of
rain and snow worldwide every three hours. The Integrated Multi-satellitE
Retrievals for GPM (IMERG) is the unified algorithm that provides
rainfall estimates combining data from all passive-microwave
instruments in the GPM Constellation.
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 providing better estimates
as more data arrive. The final step uses monthly gauge data to
create research-level products. See IMERG Technical Documentation
for more details on the algorithm.
This dataset contains provisional
products that are regularly replaced with updated versions when
the data become available. The products are marked with a metadata
property called ‘status’. When a product is initially made available,
the property value is ‘provisional’. Once a provisional product
has been updated with the final version, this value is updated
to ‘permanent’.
Version V05
Global Precipitation Measurement (GPM) is an international
satellite mission to provide next-generation observations of
rain and snow worldwide every three hours. The Integrated Multi-satellitE
Retrievals for GPM (IMERG) is the unified algorithm that provides
rainfall estimates combining data from all passive-microwave
instruments in the GPM Constellation.
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 providing better estimates
as more data arrive. The final step uses monthly gauge data to
create research-level products. See IMERG Technical Documentation
for more details on the algorithm.
This dataset contains provisional
products that are regularly replaced with updated versions when
the data become available. The products are marked with a metadata
property called ‘status’. When a product is initially made available,
the property value is ‘provisional’. Once a provisional product
has been updated with the final version, this value is updated
to ‘permanent’.
Name | Description | Gee:unit |
---|---|---|
HQobservationTime | PMW source time | min. into half hour |
HQprecipSource | PMW source sensor identifier | |
HQprecipitation | merged PMW precipitation | mm/hr |
IRkalmanFilterWeight | Kalman filter weight for IR | % |
IRprecipitation | IR precipitation | mm/hr |
precipitationCal | snapshot precipitation - calibrated | mm/hr |
precipitationUncal | snapshot precipitation - uncalibrated | mm/hr |
probabilityLiquidPrecipitation | probability of liquid precipitation phase | % |
randomError | calibrated-precipitation random error | mm/hr |
Providers | |
---|---|
NASA PMM (producer, licensor) | |
Google Earth Engine (host) | |
STAC Version | 0.6.2 |
Keywords | climate, geophysical, gpm, half-hourly, jaxa, nasa, precipitation, weather |
License | proprietary |
Temporal Extent | 3/11/2014, 5:00:00 PM - now |
Type | image_collection |
GSD | arc degreesm |
Cadence | minutes |
cube:dimensions | {"x":{"type":"spatial","axis":"x","extent":[-180,180]},"y":{"type":"spatial","axis":"y","extent":[-90,90]},"temporal":{"type":"temporal","extent":["2014-03-12T00:00:00Z",null]},"bands":{"type":"bands","values":["HQobservationTime","HQprecipSource","HQprecipitation","IRkalmanFilterWeight","IRprecipitation","precipitationCal","precipitationUncal","probabilityLiquidPrecipitation","randomError"]}} |