GPM/DPR/KuPR L2 Precipitation
- DOI: 10.57746/EO.01gs73b2qtx3regms1xf9f1h6c
- Last Updated: 2024-08-27
Product Summary
GPM/DPR/KuPR L2 Precipitation dataset is obtained from the DPR sensor onboard GPM and produced by the Japan Aerospace Exploration Agency (JAXA). GPM Core Satellite carries Dual-frequency Precipitation Radar (DPR) and a microwave radiometer.
Main purposes of the GPM are "Comprehension of horizontal and vertical structure of precipitation systems", "Acquisition of precipitation particles information" and "Improvement of accuracy of precipitation by constellation satellites".
GPM Core Satellite can observe the range from the south latitude about 65 degrees to the north latitude about 65 degrees, and flies Non-Sun-synchronous Circular Orbit at about the 407 km (442 km since Nov. 8, 2023) altitude. To keep the altitude, the Core Satellite does the orbit maintenance maneuver. The interval is about 7-10 days.
The swaths of DPR instrument are 125 and 245 km (245 km since May 21, 2018) (278 km since Nov. 8, 2023) for a Ka-band precipitation radar (KaPR) and a Ku-band precipitation radar (KuPR) respectively. In addition, simultaneous measurements are done at the overlapping of Ka/Ku-bands of the DPR. The GMI instrument is a conical-scanning multi-channel microwave radiometer covering a swath of 904 km (1015 km since Nov. 8, 2023).
The level 2 processing algorithm of the dual frequency precipitation radar additionally uses received power value profiles observed by KuPR and KaPR to estimate a precipitation intensity profile. It also estimates precipitation type, precipitation top height, and bright band height. Level 2 algorithm input data is a level 1 DPR product (calibrated radar echo power value profile), and level 2 algorithm output data is a level 2 product (precipitation intensity profile).
The provided format is HDF5. The Sampling resolution are 5km(horizontal) and 125m/250m(vertical). The current version of the product is Version 7. The Version 6 is also available. The generation unit is one orbit.
- Platform
- GPM
- Sensor
- DPR
Coverage
Temporal Coverage
2014-03-08 to Present
Spatial Coverage
Bounding Rectangle
(67.0°,
-180.0°,
-67.0°,
180.0°)
Resolution
5 km
Location
- GEOGRAPHIC REGION > GLOBAL
- Dataset Short Name
- GPM_DPR_KuPR_L2_DU2
- Platform / Sensor
- GPM / DPR
- Coverage
-
- Spatial Coverage
-
Bounding Rectangle
(67.0°, -180.0°, -67.0°, 180.0°) - Temporal Coverage
- 2014-03-08 to Present
- Product Level ID
- L2
- Version Description
Version 06, 2018-10-04, Available
Version 07, 2021-12-09, Available- File Format
- HDF5
- Dataset Type
- None / Orbit
- Resolution
-
- Spatial Resolution
- 5 km
- Temporal Resolution
- None
- Dataset Progress
- In Work
- Projection
- None
- Collection Data Type
- SCIENCE_QUALITY
- Get Data
- https://gportal.jaxa.jp/gpr/?lang=en
- Dataset Title
- GPM/DPR/KuPR L2 Precipitation
- Distribution Format
- HDF5
- Fees
- Free
- Citation
- Japan Aerospace Exploration Agency. 2014. GPM/DPR/KuPR L2 Precipitation. https://doi.org/10.57746/EO.01gs73b2qtx3regms1xf9f1h6c
- Access Constraints
No constraints but users need to be registered with the G-portal User Registration system to download files.
- Use Constraints
The user is entitled to use G-Portal data free of charge without any restrictions (including commercial use) except for the condition about acknowledgement of data credit as stipulated in G-portal terms of use 7.(2).Click here for detailed G-Portal data usage constrains.
- G-Portal Terms of service
- https://gportal.jaxa.jp/gpr/index/eula?lang=en
- ISO Topic Categories
-
- CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
- Science Keywords
-
- EARTH SCIENCE > ATMOSPHERE > PRECIPITATION
- Location Keywords
-
- GEOGRAPHIC REGION > GLOBAL
ISO Topic Categories is the keywords in the ISO 19115 - Geographic Information Metadata.
Science Keywords hosts Global Change Master Directory (GCMD) Keywords which are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables.