TRMM_GPMFormat/PR L3 Spectral Latent Heating (1-Month,0.5deg)

  • DOI: 10.57746/EO.01gs73b0jsgdbvg9ma2x31nes1
  • Last Updated: 2023-02-14
Data Progress: Complete
G-Portal

Product Summary

TRMM_GPMFormat/PR L3 Spectral Latent Heating (1-Month,0.5deg) dataset is the new (GPM-formated) TRMM product. It replaces the old TRMM 3H25. It is obtained from the Precipitation Radar (PR) sensor onboard Tropical Rainfall Measuring Mission (TRMM) Core Satellite and produced by the Japan Aerospace Exploration Agency (JAXA).
The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:
a. Provides a 3-dimensional rainfall structure
b. Achieves quantitative measurements of the rain rates over both land and ocean
When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.
This dataset uses TRMM PR information [precipitation-top height (PTH), precipitation rates at the surface and melting level, and rain type] to select heating profiles from lookup tables. Heating-profile lookup tables for the three rain types—convective, shallow stratiform, and anvil rain (deep stratiform with a melting level) were derived from numerical simulations of tropical cloud systems from the Tropical Ocean and Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA COARE) utilizing a cloud-resolving model (CRM).
The provided format is HDF5. The Sampling resolution are 0.5degree grid. The statistical period is 1 month. The generation unit is global. The current version of the product is Version 6.

Platform
TRMM
Sensor
PR

Coverage

Temporal Coverage

1997-12-01 to 2015-04-02

Spatial Coverage

Bounding Rectangle
(40.0°, -180.0°, -40.0°, 180.0°)

Resolution

0.5 deg

Location

  • GEOGRAPHIC REGION > GLOBAL
Dataset Short Name
TRMM_GPMFormat_PR_L3_SLM_1month_0.5deg
Platform / Sensor
TRMM / PR
Coverage
Spatial Coverage
Bounding Rectangle
(40.0°, -180.0°, -40.0°, 180.0°)
Temporal Coverage
1997-12-01 to 2015-04-02
Product Level ID
L3
Version Description

Version 06, 2018-07-30, Available

File Format
HDF5
Dataset Type
1month / Global
Resolution
Spatial Resolution
0.5 deg
Temporal Resolution
1month
Dataset Progress
Complete
Projection
None
Collection Data Type
SCIENCE_QUALITY
Get Data
https://gportal.jaxa.jp/gpr/?lang=en
Dataset Title
TRMM_GPMFormat/PR L3 Spectral Latent Heating (1-Month,0.5deg)
Distribution Format
HDF5
Fees
Free
Citation
Japan Aerospace Exploration Agency. 1997. TRMM_GPMFormat/PR L3 Spectral Latent Heating (1-Month,0.5deg). https://doi.org/10.57746/EO.01gs73b0jsgdbvg9ma2x31nes1
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.