Diurnal rainfall pattern observed by Tropical Rainfall Measuring Mission Precipitation Radar (TRMM-PR) around the Indochina peninsula

2010 ◽  
Vol 115 (D7) ◽  
Author(s):  
H. G. Takahashi ◽  
H. Fujinami ◽  
T. Yasunari ◽  
J. Matsumoto
Keyword(s):  
Tropical Rainfall Measuring Mission ◽  
Rainfall Pattern ◽  
Precipitation Radar ◽  
Indochina Peninsula ◽  
Tropical Rainfall ◽  
Trmm Pr ◽  
Diurnal Rainfall

scholarly journals Effect of TRMM Orbit Boost on Radar Reflectivity Distributions

2010 ◽  
Vol 27 (7) ◽  
pp. 1247-1254 ◽  
Author(s):  
David A. Short ◽  
Kenji Nakamura
Keyword(s):  
Probability Distributions ◽  
Gaussian Function ◽  
Tropical Rainfall Measuring Mission ◽  
Radar Reflectivity ◽  
Response Functions ◽  
Precipitation Radar ◽  
Mathematical Properties ◽  
Trmm Pr ◽  
Before And After ◽  
Basic Characteristics

Abstract Probability distributions of measured radar reflectivity from the precipitation radar (PR) on board the Tropical Rainfall Measuring Mission (TRMM) satellite show a small, counterintuitive increase in the midrange, 20–34 dBZ, when comparing data from periods before and after the orbit altitude was boosted in August 2001. Data from two 2-yr time periods, 1999–2000 (preboost) and 2002–03 (postboost), show statistically significant differences of 2%–3% at altitudes of 2, 4, and 10 km and for path-averaged reflectivity. The bivariate Gaussian function, used to model idealized radar response functions, has mathematical properties that indicate an increase in field-of-view (FOV) size associated with an increase in satellite altitude can be expected to result in a narrowing of observed dBZ distributions, with a resulting increase in midrange values. Numerical simulations with echo areas much smaller and larger than the TRMM PR FOV before (4.3 km) and after (5.0 km) boost are used to demonstrate basic characteristics of the observed and expected distribution changes.

scholarly journals Karakteristik Ketinggian Melting Layer di Indonesia Berdasarkan Radar Hujan Yang Terpasang Di Satelit TRMM

2018 ◽  
Vol 10 (2) ◽  
pp. 73-82
Author(s):  
Rany Audia Dwianda ◽  
Marzuki Marzuki
Keyword(s):  
Tropical Rainfall Measuring Mission ◽  
Sea Breezes ◽  
Tropical Rainfall ◽  
Melting Layer ◽  
Freezing Level ◽  
Trmm Pr ◽  
Total Data ◽  
Level Height

Ketinggian melting layer atau freezing level height (FH) di Indonesia telah diteliti melalui data radar hujan yang terpasang di satelit Tropical Rainfall Measuring Mission (TRMM). Data yang digunakan adalah data TRMM 2A25 versi 7 selama 2011-2013. Nilai FH dari TRMM dibandingkan dengan nilai yang direkomendasikan oleh model ITU-R P.839. FH di Indonesia memiliki variasi musiman dan diurnal yang signifikan. Rata-rata bulanan FH menunjukkan pola bimodal dengan dua puncak dan dua lembah, mirip dengan pola curah hujan dan temperatur permukaan air laut di Indonesia. Puncak FH teramati pada bulan-bulan basah (musim hujan) ketika temperatur permukaan air laut tinggi. Nilai FH mencapai puncaknya pada sore hari yaitu sekitar jam 18-19 waktu setempat. Adanya perbedaan pola FH antara darat dan laut yang menandakan adanya pengaruh sirkulasi darat-laut (land-sea breezes). Pada dini dan pagi hari, hujan dengan FH > 5 km tidak teramati di daratan tetapi pada siang dan sore hari jumlahnya meningkat, terutama di Sumatera, Kalimantan dan Papua. Nilai FH tertinggi yang teramati dalam penelitian ini adalah 5,55 km yang teramati pada 2013, dan nilai terendah adalah 4,40 km, yang teramati pada 2012. Sebagian besar hujan yaitu sekitar 82% dari total data, memiliki FH lebih rendah dari yang direkomendasikan oleh ITU-R P.839 (5 km). Dengan demikian, model ITU-R menakar FH lebih tinggi dari semestinya. Selain itu, asumsi nilai FH yang konstan (5 km) dalam model ITU-R juga tidak tepat karena nilai FH di Indonesia menunjukkan variasi diurnal dan musiman yang signifikan.Kata kunci : melting layer, Indonesia, TRMM-PR, ITU-R P.839, variasi diurnal, variasi musiman 

scholarly journals Detectability and Configuration of Tropical Cyclone Eyes over the Western North Pacific in TRMM PR and IR Observations

2005 ◽  
Vol 133 (8) ◽  
pp. 2213-2226 ◽  
Author(s):  
Yasu-Masa Kodama ◽  
Takuya Yamada
Keyword(s):  
Tropical Cyclone ◽  
North Pacific ◽  
Western North Pacific ◽  
Tropical Rainfall Measuring Mission ◽  
Mature Stage ◽  
Precipitation Radar ◽  
Wind Speeds ◽  
Trmm Pr ◽  
Eye Diameter ◽  
Concentric Eyewalls

Abstract Statistics for 138 cases from 61 tropical cyclones over the western North Pacific during the five years from 1998 to 2002 were used to determine the detectability and configuration of tropical cyclone (TC) eyes and to reveal relations with TC intensity and life stages in satellite-based infrared (IR) and precipitation radar (PR) observations from the Tropical Rainfall Measuring Mission (TRMM). Tropical cyclone eyes were detectable in PR data in 89% of cases and in IR data in 37% of cases. Maximum sustained wind speeds in TCs were much greater when the eye was detected in both IR and PR data than in cases when the eye was detected only in PR data or when no eye was detected in either PR or IR data. An eye was detectable in both IR and PR data in the developing stage of only 18% of TCs although an eye was present in the PR data in 90% of cases. An eye was detected in both IR and PR data in 51% of the TCs during the mature stage. During the decaying stage, an eye was detected in both IR and PR data in 31% of cases. Eye diameter determined from PR observations was larger during the later stages. Most TCs had an eye less than 82.5 km in diameter during the developing stage. Tropical cyclone eyes embedded within concentric eyewalls appeared more frequently in the mature and decaying stages; this is consistent with findings from previous studies. In most cases, eye diameter was smaller in IR observations than in PR observations because an upper cloud shield extending from the eyewall partially covered the eye. For several TCs with concentric eye walls, however, eye diameter was smaller in PR observations. A shallow inner eyewall in the PR data and a deep outer eyewall in both IR and PR data characterized these cases.

scholarly journals Differences of Rainfall Estimates over Land by Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) and TRMM Microwave Imager (TMI)—Dependence on Storm Height

2005 ◽  
Vol 44 (3) ◽  
pp. 367-383 ◽  
Author(s):  
Fumie A. Furuzawa ◽  
Kenji Nakamura
Keyword(s):  
Tropical Rainfall Measuring Mission ◽  
Local Times ◽  
Precipitation Radar ◽  
Tropical Rainfall ◽  
Convective Rain ◽  
Brightness Temperatures ◽  
Trmm Precipitation ◽  
Microwave Imager ◽  
Trmm Microwave Imager ◽  
Orbit Data

Abstract It is well known that precipitation rate estimation is poor over land. Using the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) and TRMM Microwave Imager (TMI), the performance of the TMI rain estimation was investigated. Their differences over land were checked by using the orbit-by-orbit data for June 1998, December 1998, January 1999, and February 1999, and the following results were obtained: 1) Rain rate (RR) near the surface for the TMI (TMI-RR) is smaller than that for the PR (PR-RR) in winter; it is also smaller from 0900 to 1800 LT. These dependencies show some variations at various latitudes or local times. 2) When the storm height is low (<5 km), the TMI-RR is smaller than the PR-RR; when it is high (>8 km), the PR-RR is smaller. These dependencies of the RR on the storm height do not depend on local time or latitude. The tendency for a TMI-RR to be smaller when the storm height is low is more noticeable in convective rain than in stratiform rain. 3) Rain with a low storm height predominates in winter or from 0600 to 1500 LT, and convective rain occurs frequently from 1200 to 2100 LT. Result 1 can be explained by results 2 and 3. It can be concluded that the TMI underestimates rain with low storm height over land because of the weakness of the TMI algorithm, especially for convective rain. On the other hand, it is speculated that TMI overestimates rain with high storm height because of the effect of anvil rain with low brightness temperatures at high frequencies without rain near the surface, and because of the effect of evaporation or tilting, which is indicated by a PR profile and does not appear in the TMI profile. Moreover, it was found that the PR rain for the cases with no TMI rain amounted to about 10%–30% of the total but that the TMI rain for the cases with no PR rain accounted for only a few percent of the TMI rain. This result can be explained by the difficulty of detecting shallow rain with the TMI.

Morphology, Intensity, and Rainfall Production of MJO Convection: Observations from DYNAMO Shipborne Radar and TRMM

2015 ◽  
Vol 72 (2) ◽  
pp. 623-640 ◽  
Author(s):  
Weixin Xu ◽  
Steven A. Rutledge
Keyword(s):  
Mesoscale Convective System ◽  
Tropical Rainfall Measuring Mission ◽  
Radar Data ◽  
Convective System ◽  
Precipitation Radar ◽  
Convective Systems ◽  
Trmm Pr ◽  
Mesoscale Convective ◽  
Trmm Precipitation

Abstract This study uses Dynamics of the Madden–Julian Oscillation (DYNAMO) shipborne [Research Vessel (R/V) Roger Revelle] radar and Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) datasets to investigate MJO-associated convective systems in specific organizational modes [mesoscale convective system (MCS) versus sub-MCS and linear versus nonlinear]. The Revelle radar sampled many “climatological” aspects of MJO convection as indicated by comparison with the long-term TRMM PR statistics, including areal-mean rainfall (6–7 mm day−1), convective intensity, rainfall contributions from different morphologies, and their variations with MJO phase. Nonlinear sub-MCSs were present 70% of the time but contributed just around 20% of the total rainfall. In contrast, linear and nonlinear MCSs were present 10% of the time but contributed 20% and 50%, respectively. These distributions vary with MJO phase, with the largest sub-MCS rainfall fraction in suppressed phases (phases 5–7) and maximum MCS precipitation in active phases (phases 2 and 3). Similarly, convective–stratiform rainfall fractions also varied significantly with MJO phase, with the highest convective fractions (70%–80%) in suppressed phases and the largest stratiform fraction (40%–50%) in active phases. However, there are also discrepancies between the Revelle radar and TRMM PR. Revelle radar data indicated a mean convective rain fraction of 70% compared to 55% for TRMM PR. This difference is mainly due to the reduced resolution of the TRMM PR compared to the ship radar. There are also notable differences in the rainfall contributions as a function of convective intensity between the Revelle radar and TRMM PR. In addition, TRMM PR composites indicate linear MCS rainfall increases after MJO onset and produce similar rainfall contributions to nonlinear MCSs; however, the Revelle radar statistics show the clear dominance of nonlinear MCS rainfall.

scholarly journals Studies of General Precipitation Features with TRMM PR Data: An Extensive Overview

2019 ◽  
Vol 11 (1) ◽  
pp. 80 ◽  
Author(s):  
Nan Li ◽  
Zhenhui Wang ◽  
Xi Chen ◽  
Geoffrey Austin
Keyword(s):  
Three Dimensional ◽  
Tropical Rainfall Measuring Mission ◽  
Radar Data ◽  
Future Prospects ◽  
Precipitation Radar ◽  
Tropical Regions ◽  
Existing Problems ◽  
Rain Gauges ◽  
Trmm Pr ◽  
Continuous Rainfall

The Precipitation Radar (PR), the first space-borne precipitation radar onboard the Tropical Rainfall Measuring Mission (TRMM) satellite, could observe three-dimensional precipitation in global tropical regions and acquire continuous rainfall information with moderate temporal and high spatial resolutions. TRMM PR had carried out 17 years of observations and ended collecting data in April, 2015. So far, comprehensive and abundant research results related to the application of PR data have been analyzed in the current literature, but overall precipitation features are not yet identified, a gap that this review intends to fill. Studies on comparisons with ground-based radars and rain gauges are first introduced to summarize the reliability of PR observations or estimates. Then, this paper focuses on general precipitation features abstracted from about 130 studies, from 2000 to 2018, regarding lightning analysis, latent heat retrieval, and rainfall observation by PR data. Finally, we describe the existing problems and limitations as well as the future prospects of the space-borne precipitation radar data.

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