GPM

Content which is affiliated solely with the Global Precipitation Measurement Mission.

Improvement of vertical profiles of raindrop size distribution from micro rain radar using 2D video disdrometer measurements

Submitted by LisaN on
Publication Year
Authors
Adirosi, E., L. Baldini, N. Roberto, P. Gatlin, and A. Tokay
Journal
Atmos. Res.
Volume
169
Page Numbers
404-415
DOI
10.1016/j.atmosres.2015.07.002
Mission Affiliation
Major Category

Rain Type Classification Algorithm Module for GPM Dual-Frequency Precipitation Radar

Submitted by LisaN on
Publication Year
Authors
Awaka, J., M. Le, V. Chandrasekar, N. Yoshida, T. Higashiuwatoko, T. Kubota, and T. Iguchi
Journal
J. Atmos. Oceanic Technol.
Volume
33
Page Numbers
1887-1898
DOI
10.1175/BAMS-D-14-00228.1
Mission Affiliation
Major Category

Evaluation of Gamma Raindrop Size Distribution Assumption through Comparison of Rain Rates of Measured and Radar-Equivalent Gamma DSD

Submitted by LisaN on
Publication Year
Authors
Adirosi, E., E. Gorgucci, L. Baldini, and A. Tokay
Journal
J. Appl. Meteor. Climatol.
Volume
53
Page Numbers
1618-1635
DOI
10.1175/JAMC-D-13-0150.1
Mission Affiliation
Major Category

Intensifying Tropical Cyclone Dineo Seen By GPM

Tropical cyclone Dineo was intensifying in the middle of the Mozambique Channel when the GPM core observatory satellite flew over on February 14, 2017 at 0926 UTC. Dineo had winds of about 55 kts (~ 63.3 mph) at the time of this GPM pass. Very heavy precipitation was found in feeder bands on Dineo's northeastern side. The most intense rainfall was measured by GPM's Dual-Frequency Precipitation Radar (DPR) falling at a rate of over 132 mm (5.2 inches) per hour in the intense storms in the northeastern quadrant of the tropical cyclone. GPM's radar (DPR Ku Band) sliced through the center of
Document Description

Owing to the Global Precipitation Measurement (GPM) core satellite’s unique asynchronous orbit, its orbital ground tracks intersect the orbital tracks of many other sun-synchronous satellites. Of particular interest are the intersections (coincidences) between the GPM core satellite and the 94-GHz (W-band) CloudSat profiling radar (CPR), within small enough time differences, such that the combination of the resulting “pseudo three-frequency” radar profiles (W-band from CPR, and Ku/Ka-band from GPM), and the 13-channel (10-183 GHz) GMI radiometer are useful for many scientific purposes.

Document Description

This document describes the algorithms for the Geolocation Toolkit (GeoTK) for the Global Precipitation Measurement (GPM) Mission. The core part of the algorithm uses input orbit ephemeris, spacecraft attitude, and instrument pointing data to compute each pixel latitude and longitude viewed, along with ancillary data such as zenith/incidence and Sun angle data. These calculations are implemented in the GeoTK software subroutines, which will be used for Level 1B (L1B) algorithms for GPM.

Date Last Updated
October 1st, 2016
Document Description

This document describes the GMI Level 1B algorithm developed by PPS. It consists of physical bases and mathematical equations for GMI calibration, as well as after-launch activities. The document also presents high-level software design. Parts of this document are from the Remote Sensing Systems (RSS) GMI Calibration ATBD and the BATC Calibration Data Book as contributed by the BATC GMI manufactory contract. The GMI L1B geolocation algorithm is described in a separate Geolocation Toolkit ATBD.

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Date Last Updated
July 1st, 2022
Document Description

The GPM Combined Radar-Radiometer Algorithm performs two basic functions: first, it provides, in principle, the most accurate, high resolution estimates of surface rainfall rate and precipitation vertical distributions that can be achieved from a spaceborne platform, and it is therefore valuable for applications where information regarding instantaneous storm structure are vital.