KEYWORDS: Radar, Space operations, Calibration, Satellites, Aerospace engineering, Communication and information technologies, Observatories, Microwave radiation, Radiometry, Ku band
The Dual-frequency Precipitation Radar (DPR) installed on the Global Precipitation Measurement (GPM) core satellite was developed by the Japan Aerospace Exploration Agency (JAXA) and the National Institute of Information and Communications Technology (NICT). GPM core observatory was successfully launched by H-IIA launch vehicle on Feb 28, 2014. JAXA is continuing DPR trend monitoring, calibration and validation operations to confirm that DPR keeps its function and performance on orbit. The results of DPR trend monitoring, calibration and validation showed that DPR kept its function and performance on orbit during the 3 years and 2 months prime mission period. JAXA confirmed the prime mission results of GPM/DPR total system achieved the success criteria and the performance indicators. GPM/DPR moved to extended mission phase. JAXA conducted two types of scan pattern change test operations, KaPR-HS outer swath scan pattern and KuPR and KaPR wider swath scan. These useful data will help feasibility studies of the proposed KaPR scan pattern for the next DPR product version up and the future spaceborne radar development.
KEYWORDS: Radar, Signal attenuation, Reflectivity, Ku band, Ka band, Algorithm development, Detection and tracking algorithms, Satellites, Image classification
Development of precipitation retrieval algorithms for spaceborne radar began with the launch of the Tropical Rainfall Measuring Mission which carried the world first Precipitation Radar (PR). The standard Algorithm for the Dual-frequency Precipitation Radar (DPR) onboard the GPM satellite was developed based on the experience of the TRMM PR algorithm1. The latest DPR algorithm works well and satisfies the mission requirements. Nevertheless, there are still several output variables whose quality can be improved. For example, the threshold for precipitation detection can be lowered to detect more light precipitation without much increase of false detections by adopting a better filtering method than the current method. Removal of surface clutter is related to the detection of precipitation and expected to be improved too. Attenuation correction is another important area of improvement. The current attenuation correction method uses the surface reference technique (SRT) when the attenuation is large. There is a possibility of using radiometric noise for this purpose. The directions of the high sensitivity beams of the DPR’s Ka-band radar, which is called KaPR, were changed to cover the outer swath in March of 2018. Ku and Ka matched beam data are now available over the full swath so that the dualfrequency algorithm can be applied to the entire data. The new scan pattern is expected to improve not only the precipitation retrieval algorithm but also the classification algorithm. This paper summarizes these possible improvement areas in the DPR algorithm.
KEYWORDS: Radar, Satellites, Microwave radiation, Radiometry, Calibration, Space operations, Standards development, Satellite communications, Aerospace engineering, Communication and information technologies
The Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) core satellite was
developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and Communications
Technology (NICT). The objective of the GPM mission is to observe global precipitation more frequently and accurately.
The GPM core satellite is a joint product of National Aeronautics and Space Administration (NASA), JAXA and NICT.
NASA developed the satellite bus and the GPM Microwave Imager (GMI), and JAXA and NICT developed the DPR.
The inclination of the GPM core satellite is 65 degrees, and the nominal flight altitude is 407 km. The non-sunsynchronous
circular orbit is necessary for measuring the diurnal change of rainfall. The DPR consists of two radars,
which are Ku-band precipitation radar (KuPR) and Ka-band precipitation radar (KaPR). GPM core observatory was
successfully launched by H2A launch vehicle on Feb. 28, 2014. DPR orbital check out was completed in May 2014.
DPR products were released to the public on Sep. 2, 2014 and Normal Observation Operation period was started. JAXA
is continuing DPR trend monitoring, calibration and validation operations to confirm that DPR keeps its function and
performance on orbit. The results of DPR trend monitoring, calibration and validation show that DPR kept its function
and performance on orbit during the 3 years and 2 months prime mission period. The DPR Prime mission period was
completed in May 2017. The version 5 GPM products were released to the public in 2017. JAXA confirmed that
GPM/DPR total system performance and the GPM version 5 products achieved the success criteria and the performance
indicators that were defined for the JAXA GPM/DPR mission.
KEYWORDS: Radar, Satellites, Microwave radiation, Calibration, Space operations, Aerospace engineering, Communication and information technologies, Satellite imaging, Ku band, Ka band
The Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) core satellite was developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and Communications Technology (NICT). The objective of the GPM mission is to observe global precipitation more frequently and accurately. The GPM core satellite is a joint product of National Aeronautics and Space Administration (NASA), JAXA and NICT. NASA developed the satellite bus and the GPM Microwave Imager (GMI), and JAXA and NICT developed the DPR. The inclination of the GPM core satellite is 65 degrees, and the nominal flight altitude is 407 km. The non-sunsynchronous circular orbit is necessary for measuring the diurnal change of rainfall. The DPR consists of two radars, which are Ku-band precipitation radar (KuPR) and Ka-band precipitation radar (KaPR). GPM core observatory was successfully launched by H2A launch vehicle on Feb. 28, 2014. DPR keeps its performances on orbit after launch. DPR products were released to the public on Sep. 2, 2014. JAXA is continuing DPR trend monitoring, calibration and validation operations to confirm that DPR keeps its function and performance on orbit. JAXA have started to provide new version (Version 4) of GPM standard products on March 3, 2016. Various improvements of the DPR algorithm were implemented in the Version 4 product. Moreover, the latent heat product based on the Spectral Latent Heating (SLH) algorithm is available since Version 4 product. Current orbital operation status of the GPM/DPR and highlights of the Version 4 product are reported.
KEYWORDS: Radar, Calibration, Space operations, Satellites, Microwave radiation, Observatories, Radiometry, Antennas, Aerospace engineering, Communication and information technologies
The Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) core satellite was developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and Communications Technology (NICT). The GPM is a follow-on mission of the Tropical Rainfall Measuring Mission (TRMM). The objectives of the GPM mission are to observe global precipitation more frequently and accurately than TRMM. The frequent precipitation measurement about every three hours will be achieved by some constellation satellites with microwave radiometers (MWRs) or microwave sounders (MWSs), which will be developed by various countries. The accurate measurement of precipitation in mid-high latitudes will be achieved by the DPR. The GPM core satellite is a joint product of National Aeronautics and Space Administration (NASA), JAXA and NICT. NASA developed the satellite bus and the GPM Microwave Imager (GMI), and JAXA and NICT developed the DPR. JAXA and NICT developed the DPR through procurement. The configuration of precipitation measurement using active radar and a passive radiometer is similar to TRMM. The major difference is that DPR is used in GPM instead of the precipitation radar (PR) in TRMM. The inclination of the core satellite is 65 degrees, and the nominal flight altitude is 407 km. The non-sun-synchronous circular orbit is necessary for measuring the diurnal change of rainfall similarly to TRMM. The DPR consists of two radars, which are Ku-band (13.6 GHz) precipitation radar (KuPR) and Ka-band (35.5 GHz) precipitation radar (KaPR). Both KuPR and KaPR have almost the same design as TRMM PR. The DPR system design and performance were verified through the ground test. GPM core observatory was launched at 18:37:00 (UT) on February 27, 2014 successfully. DPR orbital check out was completed in May 2014. The results of orbital checkout show that DPR meets its specification on orbit. After completion of initial checkout, DPR started Normal Operations and Initial Calibration and Validation period was started. JAXA conducted internal calibrations, external calibrations and phase code changes to mitigate KuPR sidelobe clutter effect. JAXA evaluated these operations results and concluded that DPR data could go public. DPR products were released to the public on Sep. 2, 2014 and Normal Observation Operation period was started. JAXA is continuing DPR trend monitoring, calibration operations to confirm that DPR keeps its function and performance on orbit.
KEYWORDS: Radar, Space operations, Satellites, Calibration, Microwave radiation, Observatories, Antennas, Radiometry, Aerospace engineering, Communication and information technologies
The Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) core satellite was developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and Communications Technology (NICT). The GPM is a follow-on mission of the Tropical Rainfall Measuring Mission (TRMM). The objectives of the GPM mission are to observe global precipitation more frequently and accurately than TRMM. The frequent precipitation measurement about every three hours will be achieved by some constellation satellites with microwave radiometers (MWRs) or microwave sounders (MWSs), which will be developed by various countries. The accurate measurement of precipitation in mid-high latitudes will be achieved by the DPR. The GPM core satellite is a joint product of National Aeronautics and Space Administration (NASA), JAXA and NICT. NASA developed the satellite bus and the GPM Microwave Imager (GMI), and JAXA and NICT developed the DPR. JAXA and NICT developed the DPR through procurement. The contract for DPR was awarded to NEC TOSHIBA Space Systems, Ltd. The configuration of precipitation measurement using active radar and a passive radiometer is similar to TRMM. The major difference is that DPR is used in GPM instead of the precipitation radar (PR) in TRMM. The inclination of the core satellite is 65 degrees, and the flight altitude is about 407 km. The non-sun-synchronous circular orbit is necessary for measuring the diurnal change of rainfall similarly to TRMM. The DPR consists of two radars, which are Ku-band (13.6 GHz) precipitation radar (KuPR) and Ka-band (35.5 GHz) precipitation radar (KaPR). Both KuPR and KaPR have almost the same design as TRMM PR. The DPR system design and performance were verified through the development test and the proto flight test. DPR had handed over to NASA and integration of the DPR to the GPM core spacecraft had completed in May 2012. GPM core spacecraft satellite system test had completed in November 2013. The result of the satellite system test concerning to the DPR satisfied system requirements. GPM core observatory was shipped to Tanegashima Space Center, JAPAN and Launch Site Operations had started on November 2013 and GPM core observatory was launched at 18:37:00 (UT) on February 27, 2014 successfully. DPR orbital check out was completed in May 2014. The orbital check out and the initial calibration and validation operation result of DPR is reported.
Toshio Iguchi, Shinta Seto, Robert Meneghini, Naofumi Yoshida, Jun Awaka, Takuji Kubota, Toshiaki Kozu, V. Chandra, Minda Le, Liang Liao, Simone Tanelli, Steve Durden
This paper describes the planned level 2 algorithm that retrieves precipitation profiles from data to be obtained by the
Dual-frequency Precipitation Radar (DPR) on the core satellite of the Global Precipitation Measurement (GPM) mission.
The general idea behind the algorithms is to determine general characteristics of the precipitation, correct for attenuation
and estimate profiles of the precipitation water content, rainfall rate and, when dual-wavelength data are available,
information on the particle size distributions in rain and snow. It is particularly important that dual-wavelength data will
provide better estimates of rainfall and snowfall rates than the TRMM PR data by using the particle size information and
the capability of estimating the height at which the precipitation transitions from solid to liquid.
The Global Precipitation Measurement (GPM) is a successor to the Tropical Rainfall Measuring Mission (TRMM)
which has opened a new era for precipitation system measurement from space. The scope of GPM is much wider than
that of TRMM. GPM will provide three hourly precipitation observation over the globe, that is, much higher temporal
resolution with wider coverage than TRMM. Current precipitation measurement is far from enough for the water
resources management which requires very high spatial and temporal resolution. The three hourly global precipitation
observation with GPM which will be attained by international collaboration with microwave radiometers will greatly
contribute not only to the precipitation sciences but also to real-world applications. GPM consists of a core satellite and
constellation satellites (Fig. 1). The GPM core satellite will be equipped with a dual-wavelength radar (DPR) and a
microwave radiometer, and will work to provide reference standard for the GPM constellation radiometers. Development
of DPR, the key instrument, has already been completed and delivered to NASA by JAXA. Ground measurements of
precipitation using newly developed Ka-radar system for DPR algorithm development are undergoing. The rain retrieval
algorithms are being developed with close collaboration with NASA.
The Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) core observatory is
developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and Communications
Technology (NICT). GPM objective is to observe global precipitation more frequently and accurately. GPM contributes
to climate and water cycle change studies, flood prediction and numerical weather forecast. GPM consists of GPM core
observatory and constellation satellites carrying microwave radiometers (MWRs) and/or sounders (MWSs). The frequent
measurement will be achieved by constellation satellites, and the accurate measurement will be achieved by DPR with
high sensitivity and dual frequency capability. GPM core observatory is jointly developed by National Aeronautics and
Space Administration (NASA) and JAXA. NASA is developing the satellite bus and GPM microwave radiometer
(GMI), and JAXA is developing DPR. GPM algorithms for data processing are developed jointly. The DPR consists of
Ku-band (13.6 GHz) radar suitable for heavy rainfall in the tropical region, and Ka-band (35.55 GHz) radar suitable for
light rainfall in higher latitude region. Drop size distribution information will be derived which contributes to the
improvement of rainfall estimate accuracy. DPR will also play a key role to improve rainfall estimation accuracy of
constellation satellites. DPR proto-flight test at JAXA Tsukuba space center is finished and it is delivered to NASA for
integration to the GPM observatory. In this paper, DPR PFT test result at Tsukuba space center, DPR status in the GPM
observatory environmental test, and DPR on-orbit calibration plan will be presented.
Separation between rain echo and surface clutter is essential in the radar observation of rain from space. However, the
separation between these becomes very difficult in the radar observation over high mountain areas where the range
profile of surface clutter takes a complicated shape. It is expected that this separation problem would be solved by the
use of a reliable, high resolution digital elevation model. This paper examines the feasibility of using a high resolution
ASTER GDEM for the separation of rain echo and surface clutter. Using the height information of ASTER GDEM, a
simulation of the range profile of the surface clutter is made by assuming triangle surface elements and Lambert's law.
The simulation results are compared with some TRMM PR data. The comparison shows that the simulation produces a
reasonable result in the nadir direction and, to some extent, at the antenna scan edges. Tough the occurrence is very small,
there seems to be some areas where the accuracy of ASTER GDEM is not good.
KEYWORDS: Radar, Space operations, Satellites, Microwave radiation, Radiometry, Meteorology, Aerospace engineering, Communication and information technologies, Ku band, Ka band
The Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) core spacecraft is being
developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and Communications
Technology (NICT). The GPM is a follow-on mission of the Tropical Rainfall Measuring Mission (TRMM). The objectives of the GPM mission are to observe global precipitation more frequently and accurately than TRMM. The frequent precipitation measurement about every three hours will be achieved by some constellation satellites with microwave radiometers (MWRs) or microwave sounders (MWSs), which will be developed by various countries. The accurate measurement of precipitation in mid-high latitudes will be achieved by the DPR. The GPM core satellite is a joint product of National Aeronautics and Space Administration (NASA), JAXA and NICT. NASA is developing the satellite bus and the GPM microwave radiometer (GMI), and JAXA and NICT are developing the DPR. JAXA and NICT are developing the DPR through procurement. The contractor for DPR is NEC TOSHIBA Space Systems, Ltd. The configuration of precipitation measurement using an active radar and a passive radiometer is similar to TRMM. The major difference is that DPR is used in GPM instead of the precipitation radar (PR) in TRMM. The inclination of the core spacecraft is 65 degrees, and the flight altitude is about 407 km. The non-sun-synchronous circular orbit is necessary for measuring the diurnal change of rainfall similarly to TRMM. The DPR consists of two radars, which are Ku-band (13.6 GHz) precipitation radar (KuPR) and Ka-band (35.55 GHz) precipitation radar (KaPR). According to the different detectable dynamic ranges, The KaPR will detect snow and light rain, and the KuPR will detect heavy rain. In an effective dynamic range in both KuPR and KaPR, drop size distribution information and more accurate rainfall estimates will be provided by a dual-frequency algorithm. The proto-flight test for DPR have finished in February 2012 and DPR integration on GPM core spacecraft was successfully completed in May 2012. The status of proto-flight model of DPR will be presented.
The Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) core satellite is being
developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and Communications
Technology (NICT). The GPM is a follow-on mission of the Tropical Rainfall Measuring Mission (TRMM). The
objectives of the GPM mission are to observe global precipitation more frequently and accurately than TRMM. The
frequent precipitation measurement about every three hours will be achieved by some constellation satellites with
microwave radiometers (MWRs) or microwave sounders (MWSs), which will be developed by various countries. The
accurate measurement of precipitation in mid-high latitudes will be achieved by the DPR. The GPM core satellite is a
joint product of National Aeronautics and Space Administration (NASA), JAXA and NICT. NASA is developing the
satellite bus and the GPM microwave radiometer (GMI), and JAXA and NICT are developing the DPR. JAXA and
NICT are developing the DPR through procurement. The contract for DPR is NEC TOSHIBA Space Systems, Ltd. The
proto-flight test for DPR started in November 2010. The status of proto-flight test of DPR will be presented.
The Global Precipitation Measurement (GPM) is a successor of the Tropical Rainfall Measuring Mission (TRMM)
which has opened a new era for precipitation system measurement from space including much better global rain maps.
The scope of GPM is much wider than that of TRMM. GPM will provide three hourly precipitation measurement over
the globe, that is, much higher temporal resolution with wider coverage than TRMM. Current precipitation measurement
is far from enough for the water resources management which requires very high spatial and temporal resolution. The
three hourly global precipitation measurement with GPM will greatly contribute not only to the precipitation sciences but
to real-world applications. The GPM core satellite will be equipped with a dual-wavelength radar (DPR) and a
microwave radiometer, and will work as a reference standard for the GPM constellation radiometers. The development
of the space segment is going well, and the core satellite launch is scheduled in the middle of 2013. DPR is a 14/35 GHz
radar system. The 14 GHz radar is similar to the TRMM precipitation radar but the 35 GHz radar is a new one with
scanning ability. The rain retrieval algorithms using DPR is underway. The basic idea is to use the difference of rain
attenuation at two frequencies in the liquid layer, and the deviation from the Rayleigh scattering in the solid precipitation
layer. Field experiments for the DPR algorithm development are also designed. A dual Ka-band radar system which is
now being developed will be a powerful tool for the field experiments. The dual Ka-radar system can measure both the
specific attenuation and the equivalent radar reflectivity at Ka-band.
KEYWORDS: Algorithm development, Radar, Satellites, Microwave radiation, Meteorology, Calibration, Ka band, Detection and tracking algorithms, Signal attenuation, Standards development
In July 2009, NASA and JAXA signed implementation phase Memorandum of Understanding to be the central body for
creating the Global Precipitation Measurement (GPM) partnership. The Global Precipitation Measurement (GPM)
started as an international project and a follow-on mission of the Tropical Rainfall Measuring Mission (TRMM) project
to achieve more accurate and frequent precipitation observations than it. A Dual-frequency Precipitation Radar (DPR) on
board the GPM core satellite is being developed steadily by JAXA and NICT, and consists of Ku-band (13.6GHz) and
Ka-band (35.5GHz) precipitation radars to measure light rainfall and snowfall as well as moderate-to-heavy rainfall. The
GPM core observatory scheduled to be launched by Japanese H-IIA rocket in summer of 2013.
In January 2010, JAXA has selected the principal investigators by the 6th Precipitation Measuring Mission (PMM)
Research Announcement, especially focusing on the GPM algorithm development and pre-launch validation. The GPM
standard algorithm will be developed by U.S.-Japan Joint GPM Algorithm Team, and Japanese members will play
central role in developing DPR and DPR/GMI combined algorithms. Pre-launch validation aims to contribute to the
development and improvement of algorithms, through validating parameter errors, which are involved in satellite-based
precipitation retrieval algorithms, such as attenuation by precipitation particles, raindrop size distribution, and drop
velocity and density of snowfall. JAXA will put two new field-portable Ka-band Ground Validation radars in 2009-2010
to achieve this target.
The new science team will be organized in April 2010, and team members expected to make effective interactions
between algorithm development and pre-launch validation activities.
The Global Precipitation Measurement (GPM) started as an international project and a follow-on and expansion of the
Tropical Rainfall Measuring Mission (TRMM). The GPM mission consists of two different categories of satellites. One
is a TRMM-like core satellite carrying both active and passive microwave instruments, jointly developed by Japan and
the US. The other is a constellation of satellites carrying passive microwave sensors and provided by partner agencies.
A Dual-frequency Precipitation Radar (DPR) for the GPM core satellite is being developed by JAXA and NICT, and
consists of Ku- and Ka-band precipitation radars to measure light rainfall and snowfall as well as moderate-to-heavy
rainfall. One major objectives of GPM is to contribute to operational utilization, and frequent and accurate precipitation
products, at less than 3-hour intervals, will be produced by combining multi-satellite microwave radiometers and
geostationary IR information. DPR will provide accurate rainfall database to microwave radiometers, and enhance their
algorithms, which will be used to make frequent rainfall map.
The DPR L1 algorithms are being developed by JAXA. Collaboration activities between Japan and the US have started
to develop L2/3 rainfall algorithms for DPR, and DPR/GMI combined products. Research activities to develop
algorithms for rainfall map products have been underway both in Japan and the US. Validation activities in JAXA will
be focused on contributions to algorithm development before and after the launch, as well as evaluation of the quality of
rainfall products. Pre-launch validation will include ground-based campaigns and utilization of synthetic data produced
by numerical models.
This paper introduces the present status of TRMM PR vesrion6 standard algorithms and proposes the possible
improvements of them in version 7. The present PR standard algorithm system is composed of 1B21, 1C21, 2A21, 2A23,
2A25, 3A25 and 3A26 algorithms. These algorithms are used to analyze more than ten-year TRMM PR data. The
algorithm 1B21 calculates PR received power, and 1C21 calculates Z value without rain attenuation correction. The
algorithm 2A21 calculates surface reference sigma-zero values and estimates the path-integrated attenuation(PIA) by
rain. The algorithm 2A23 detects bright band and classifies the rain type into the stratiform type, convective type and
others. The algorithm 2A25 estimates rain rate profiles and Z profiles with rain attenuation correction for each radar
beam. The algorithm 3A25 gives monthly statistical values of level 2 products. The algorithm 3A26 calculates monthly
averaged rain rates of 5 degree by 5 degree boxes by applying the multiple threshold statistical method.
KEYWORDS: Meteorology, Signal attenuation, Satellites, Detection and tracking algorithms, Radar, Data centers, Data processing, Clouds, Sun, Solar energy
The Tropical Rainfall Measuring Mission (TRMM) satellite performs 180-degree yaw maneuver (yaw-around) when the
solar beta angle which is the angle between the satellite orbit plane and the direction to the sun crosses the 0-degree The
yaw-maneuver is completed about 16 minutes (about 7000 km in flight length on the Earth) in the TRMM case. During
the yaw-around, the Precipitation Radar (PR) onboard TRMM continues nominal observation (but data processing is
limited to level-1 algorithms). Therefore very dense observation is realized during the yaw-around. Since nearly fixed
target (rain echo and surface echo) is observed by different incident angles in a short time, new information can be
obtained that cannot be obtained nominal observation. On the incident angle dependency of the sea surface echo, we can
avoid the uncertainties comes from the changes in the target. Range profiles of the sea surface echo of different incident
angles can be compared with the long-term global average data. The same approach can be used to quantitative
estimation of bright band structure such as blurring effect of the off-nadir incident angles. For convective echoes, the
non-uniform beam filling (NUBF) effect can be estimated by the different incident angle data and the data which
location is slightly offset from the center. More reliable path integrated attenuation (PIA) can be obtained from different
incident angle data and the NUBF can be estimated both by the range profiles of surface echo of off-nadir angle bin data
with an approach by Takahashi et al. (2006) and their change with the location within a footprint. Two NUBF cases are
demonstrated in this paper showing the horizontal sub-footprint size distribution of PIA. The results are confirmed by
the consistency of different angle data with slight offset location. In addition, this method is evaluated by the PIA
pattern data obtained from densely distributed (because of 180-degree yaw maneuver) data using the method similar to
the standard algorithm for TRMM/PR.
Global Precipitation Measurement (GPM) started as an international mission and follow-on and expand mission of the
Tropical Rainfall Measuring Mission (TRMM) project to obtain more accurate and frequent observations of precipitation
than TRMM. The TRMM satellite achieved ten-year observation in November 2007, and is still operating to measure
tropical/subtropical precipitation. An important goal for the GPM mission is the frequent measurement of global
precipitation using a GPM core satellite and a constellation of multiple satellites. The accurate measurement of
precipitation will be achieved by the Dual-frequency Precipitation Radar (DPR) on the GPM core-satellite, which is
being developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and
Communications Technology (NICT) and consists of two radars, which are Ku-band precipitation radar (KuPR) and Kaband
radar (KaPR). KaPR will detect snow and light rain, and the KuPR will detect heavy rain. In an effective dynamic
range in both KaPR and KuPR, drop size distribution (DSD) information and more accurate rainfall estimates will be
provided by a dual-frequency algorithm. The frequent precipitation measurement every three hours at any place on the
globe will be achieved by several constellation satellites with microwave radiometers (MWRs). JAXA/EORC is
responsible for the GPM/DPR algorithm development for engineering values (Level 1) and physical products (e.g.
precipitation estimation) (Level 2 and 3) and the quality control of the products as the sensor provider. It is also
important for us to produce and deliver frequent global precipitation map in real time in order to make useful for various
research and application areas (i.e., the prediction of the floods).
The Global Precipitation Measurement (GPM) mission started as an expanded follow-on mission of the Tropical Rainfall
Measuring Mission (TRMM) project to obtain more accurate and frequent observations of precipitation than TRMM. An
important goal for the GPM mission is the frequent measurement of global precipitation using a GPM core satellite and a
constellation of multiple satellites. The GPM core satellite is developed by the US and Japan as like as TRMM, while the
constellation satellites are developed by various countries. The accurate measurement of precipitation will be achieved
by the Dual-frequency Precipitation Radar (DPR) installed on the GPM core satellite. DPR consists of two radars, which
are Ku-band (13.6 GHz) precipitation radar (KuPR) and Ka-band (35.5 GHz) radar (KaPR). KaPR will detect snow and
light rain, and the KuPR will detect heavy rain. In an effective dynamic range in both KaPR and KuPR, drop size
distribution (DSD) information and more accurate rainfall estimates will be provided by a dual-frequency algorithm. The
frequent precipitation measurement every three hours at any place on the globe will be achieved by several constellation
satellites with microwave radiometers (MWRs). JAXA/EORC is responsible for the GPM/DPR algorithm development
for engineering values (Level 1) and physical products (e.g. precipitation estimation) (Level 2 and 3) and the quality
control of the products as the sensor provider. It is also important for us to produce and deliver 3-hourly global
precipitation map in real time in order to make useful for various research and application areas (i.e., the prediction of
the floods). To secure the quality of estimates, the mission must place emphasis on validation of satellite data and
retrieval algorithms.
It is essential to measure global precipitation not only for the research of the climate change but also for the water resources management. In order to satisfy the requirements, the Global Precipitation Measurement (GPM) mission was proposed jointly by US and Japan. The basic concept of the GPM is to provide three hourly global precipitation maps using eight constellation satellites equipped with microwave radiometers and a core satellite equipped with the Dual-frequency Precipitation Radar (DPR) and a microwave radiometer. The DPR that uses radio waves of 14 and 35 GHz is now being developed in Japan. The DPR will observe three-dimensional precipitation structure and will provide essential data for microwave rain retrieval. GPM is partly a follow-on mission of the Tropical Rainfall Measuring Mission (TRMM), but the GPM will extend the observation to cold regions where solid precipitation frequently exists. Rain retrieval algorithms that use the DPR data are also being developed. Using two wavelength data, two parameters in the raindrop size distribution could be retrieved, which would result in precise rain retrieval. The retrieval of solid precipitation rate is another challenge. Several algorithms including a combination with the microwave radiometer would be applied to the DPR. It is important for the DPR algorithm validation to compare between precipitation rate through the calculation of DPR algorithm and that of the directly observed precipitation rate over the validation site. For this purpose, the most important and difficult issue is to construct the database of the physical parameters for the precipitation retrieval algorithms of DPR from the ground-based data using well-calibrated instruments.
Global precipitation measurement is essential not only for the research of the global change but also for the water resources management. Currently, satellite precipitation measurement is not sufficient for the detailed study of the precipitation and is far from enough for the water resources management which requires very high spatial and temporal resolution. To fill the gap at least partly, the Global Precipitation Measurement (GPM) was proposed jointly by US and Japan. The basic concept of the GPM is to provide three hourly global precipitation maps using eight constellation satellites equipped with microwave radiometers and a core satellite equipped with the Dual-frequency Precipitation Radar (DPR) and a microwave radiometer. The DPR which uses radiowaves of 13 and 35 GHz is now being developed in Japan. The DPR will observe 3D precipitation structure and will provide essential data for microwave rain retrieval. GPM is partly a follow-on mission of the Tropical Rainfall Measuring Mission (TRMM), but the GPM will extend the observation to cold regions where solid precipitation frequently exists. Rain retrieval algorithms that use the DPR data are also being developed. Using two wavelength data, two parameters in the raindrop size distribution could be retrieved, which would result in precise rain retrieval. The retreaval of solid precipitation rate is another challenge. The solid precipitation has another parameter of density which varies significantly. The hydrometeor shape also deviates significantly from a sphere. Several algorithms including a combination with the microwave radiometer would be applied to the DPR.
Backscattering enhancement from random hydrometeors should increase
as wavelengths of radars reach millimeter regions. For 95 GHz radars,
the reflectivity of backscattering is expected to increase by 2 dB,
due to multiple scattering including backscattering enhancement, for
water droplets of diameter of 1 mm with a density of 5 x 103 m-3. Previous theoretical studies of backscattering enhancement considered infinitely extending plane waves. In this paper, we expand the theory to spherical waves with a Gaussian antenna pattern, including depolarizing effects. While the differences from the plane wave results are not great when the optical thickness is small, as the latter increases the differences become significant, and essentially depend on the ratio of radar footprint radius to the mean free path of hydrometeors. In this regime, for a radar footprint that is smaller than the mean free path, the backscattering-enhancement reflectivity corresponding to spherical waves is significantly less pronounced than in the case of the plane wave theory. Hence this reduction factor must be taken into account when analyzing radar reflectivity factors for use in remote sensing applications.
The altitude of the Tropical Rainfall Measuring Mission (TRMM) satellite was raised from 350km to 402.5km in August 2001 in order to extend its lifetime. The minimum detectable value of Z-factor after the boost is 1.2dB higher. We compared the actual PR products before and after the altitude increase using statistical methods in order to verify the algorithms and the Precipitation Radar (PR) rain products after the orbit was raised, and to confirm the influence of raising the orbit on PR rain products. The reflectivity factor histograms do not exhibit any significant changes after the raising of the satellite, except for a 1.2dB increase of the minimum detectable value. The results are consistent with the estimation before the raising. The monthly global average of the conditional rain rate in 3A25 product increased 0.2 mm/h after the orbit raising. This result corresponded to the simulated rainfall average estimated from the 1C21 product before the raising. Changes in monthly global rainfall average of unconditional rain, height of rainfall and height of bright band due to the orbit raising were not significant. This result shows that the orbit change had little influence on the PR estimation.
A rain-rate range-profiling algorithm has been developed for 'standard' data processing of TRMM Precipitation Radar (PR). Major challenges in the algorithm include the corrections for the effects of rain attenuation and non-uniform beam filling (NUBF) and in the rejection of surface clutter. A combination of the Hitschfield-Bordan and surface reference methods is used to correct radar returns for the rain attenuation. The NUBF effects are estimated from the spatial variations of the estimated total path integral of attenuation from the top of rain to the surface in the vicinity of the radar beam concerned. In this paper, we first outline the range profiling algorithm. Next we show two examples of PR observation; a typhoon over Pacific and a squall line over Florida. In the Florida case, we compare the PR and ground-based radar measurements. The results indicate that this algorithm is basically working well. Further studies are needed to statistically evaluate the performance.
The mirror image rain echo, received through the double reflection of the radar from the surface, may provide useful information in estimating the rainfall rate form airborne and spaceborne weather radars. As the TRMM spaceborne weather radar has been successfully launched recently, issues regarding the utility of this measurement are pertinent and timely. In this study, having described a mirror image model, which yields the co- and cross-polarized components of the mirror image nd bistatic returns as a function of the radar parameters and the scattering properties of the rain and surface, several algorithms to estimate the path attenuation based on the mirror image returns are constructed. These methods generally use a difference between the direct and mirror image radar returns where the returns are taken at equally distant ranges above and 'below' the surface. In some implementations of the algorithm the return power from the surface is used as well. To test the accuracy of these algorithms, the first, mirror image and surface return powers are generated from measured raindrop size distributions, a surface scattering model and a mirror-image scattering model. These models can be used to control the characteristics of the rain profiles as well as the surface scattering characteristics. Comparisons between the mirror-image and the surface reference techniques are made for various rain intensities, vertical rain profiles and surface scattering characteristics. In the final part of the paper, some preliminary results of comparisons of the mirror image algorithms with the surface reference technique are given using data for the TRMM precipitation radar.
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