Identification

Title

GPM IMERG Final Precipitation L3 1 month 0.1 degree x 0.1 degree V07

Alternative title(s)

d736000

Abstract

This dataset contains Version 07 of the Integrated Multi-satellitE Retrievals for GPM (IMERG) IMERG Level 3 "Final Run" precipitation analysis at 0.1 degree, monthly resolution. From the official GPM IMERG site at NASA GES DISC [https://disc.gsfc.nasa.gov/datasets/GPM_3IMERGM_07/summary]: The Integrated Multi-satellitE Retrievals for GPM (IMERG) IMERG is a NASA product estimating global surface precipitation rates at a high resolution of 0.1 degree every half-hour beginning June 2000. It is part of the joint NASA-JAXA Global Precipitation Measurement (GPM) mission, using the GPM Core Observatory satellite (for June 2014 to present) and the Tropical Rainfall Measuring Mission (TRMM) satellite (for June 2000 to May 2014) as the standard to combine precipitation observations from an international constellation of satellites using advanced techniques. IMERG can be used for global-scale applications, including over regions with sparse or no reliable surface observations. The fine spatial and temporal resolution of IMERG data allows them to be accumulated to the scale of the application for increased skill. IMERG has three Runs with varying latencies in response to a range of application needs: rapid-response applications (Early Run, 4-hour latency), same/next-day applications (Late Run, 14-hour latency), and post-real-time research (Final Run, 4-month latency). While IMERG strives for consistency and accuracy, satellite estimates of precipitation are expected to have lower skill over frozen surfaces, complex terrain, and coastal zones. As well, the changing GPM satellite constellation over time may introduce artifacts that affect studies focusing on multi-year changes. This dataset contains Version 07 of the Integrated Multi-satellitE Retrievals for GPM (IMERG) IMERG Level 3 "Final Run" precipitation analysis at 0.1 degree x 0.1 degree, monthly resolution. The dataset represents the Final Run estimate of the monthly mean precipitation rate in mm/day. The dataset is produced by first computing the mean precipitation rate for the month in each grid cell from half-hourly satellite-only IMERG estimates, adjusting the satellite data field to the large-area bias of the Global Precipitation Climatology Project analysis of monthly surface precipitation gauges, then combining the adjusted satellite and the GPCC gauge analysis weighted by estimated inverse random error variance. The IMERG Monthly is considered the most reliable dataset. See the official GPM IMERG site at NASA GES DISC [https://disc.gsfc.nasa.gov/datasets/GPM_3IMERGM_07/summary] for the complete dataset abstract and more information.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d736000/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d736000/dataaccess/

protocol: https

applicationProfile: browser

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

climatologyMeteorologyAtmosphere

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

IMERG > Integrated Multi-satellitE Retrievals for GPM

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-10-28

Keyword set

keyword value

GPM > Global Precipitation Measurement

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-10-31

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > LIQUID PRECIPITATION

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > SOLID PRECIPITATION

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-10-31

Geographic location

West bounding longitude

-180

East bounding longitude

180

North bounding latitude

90

South bounding latitude

-90

Temporal reference

Temporal extent

Begin position

2000-06-01T00:00:00Z

End position

2024-07-01T00:00:00Z

Dataset reference date

date type

publication

effective date

2024-05-09

Frequency of update

irregular

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

telephone number

(303)-497-1217

facsimile number

303-497-1291

email address

tcram@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NCAR Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

facsimile number

303-497-1291

email address

rdahelp@ucar.edu

web address

https://rda.ucar.edu/

name: NCAR Research Data Archive

description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.

function: downlaod

responsible party role

pointOfContact

Metadata date

2024-11-11T19:05:04Z

Metadata language