Equatorial transport as diagnosed from nitrous oxide variability by M. P. Chipperfield, V.-H. Peuch, W. Feng, L. El Amraoui, H. Teyssèdre, E. Le Flochmoën, J.-L. Attié, J.-P. Pommereau, P. Ricaud

“…However, the coincidence of the peak contrast between the Western Pacific and Africa with the maximum overshooting volume in May reported by the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar, suggests a strong influence of deep convection on the chemical composition of the tropical lower stratosphere up to 500 K (21 km).…”
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CDRD and PNPR satellite passive microwave precipitation retrieval algorithms: EuroTRMM/EURAINSAT origins and H-SAF operations by A. Mugnai, E. A. Smith, G. J. Tripoli, B. Bizzarri, D. Casella, S. Dietrich, F. Di Paola, G. Panegrossi, P. Sanò

“…This aspect of the development of the two algorithms is placed in the context of what we refer to as the TRMM era, which is the era denoting the active and ongoing period of the Tropical Rainfall Measuring Mission (TRMM) that helped inspire their original development. …”
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A Spatial Downscaling Algorithm for Satellite-Based Precipitation over the Tibetan Plateau Based on NDVI, DEM, and Land Surface Temperature by Wenlong Jing, Yaping Yang, Xiafang Yue, Xiaodan Zhao

“…Two machine learning algorithms, Random Forests (RF) and support vector machine (SVM), were implemented to downscale the yearly Tropical Rainfall Measuring Mission 3B43 V7 (TRMM 3B43 V7) precipitation data from 25 km to 1 km over the Tibetan Plateau area, and the downscaled results were validated on the basis of observations from meteorological stations and comparisons with previous downscaling algorithms. …”
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Patterns of shallow clouds and rainfall over the Amazon : climatic impacts of deforestation by Chagnon, Frédéric J. F. (Frédéric Jacques F.), 1975-

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Diurnal Variations of Global Thunderstorms and Electrified Shower Clouds and Their Contribution to the Global Electrical Circuit by Liu, Chuntao, Williams, Earle R., Zipser, Edward J., Burns, Gary

“…This study utilizes 10 years of Tropical Rainfall Measuring Mission (TRMM) observations to quantify the global occurrence of thunderstorms with much better accuracy and to validate the comparison by F. …”
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Lightning/percipitation relationships on a global basis by Labrada, Carlos Ramón, 1977-

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Satellite rainfall (TRMM 3B42-V7) performance assessment and adjustment over Pahang River Basin, Malaysia by Mohd Zad, Siti Najja, Zulkafli, Zed, Muharram, Farrah Melissa

“…The Tropical Rainfall Measuring Mission (TRMM) was the first Earth Science mission dedicated to studying tropical and subtropical rainfall. …”
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Assessment variability of annual daily maximum rainfall of Terengganu, Malaysia by Nur Azira Ayuni, Ab Aziz

“…The main objective of this study is to assess the variability of annual daily maximum rainfall. Tropical Rainfall Measuring Mission (TRMM) satellite-based rainfalls from public domain were used in this study. …”
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Inter-Comparison and Evaluation of Remote Sensing Precipitation Products over China from 2005 to 2013 by Qiaolin Zeng, Yongqian Wang, Liangfu Chen, Zifeng Wang, Hao Zhu, Bin Li

“…In this paper, the dependability of five satellite precipitation products (TRMM [Tropical Rainfall Measuring Mission] 3BV42, PERSIANN [Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks] CDR, GSMaP [Global Satellite Mapping of Precipitation] RENALYSIS, CMORPH [Climate Prediction Center’s morphing technique] BLD and CMORPH_RAW) were compared with in situ measurements over China for the period of 2005 to 2013. …”
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A biomass map of the Brazilian Amazon from multisource remote sensing by Jean Pierre Ometto, Eric Bastos Gorgens, Francisca Rocha de Souza Pereira, Luciane Sato, Mauro Lúcio Rodrigures de Assis, Roberta Cantinho, Marcos Longo, Aline Daniele Jacon, Michael Keller

“…The map uses airborne laser scanning (ALS) data calibrated by field forest inventories that are extrapolated to the region using a machine learning approach with inputs from Synthetic Aperture Radar (PALSAR), vegetation indices obtained from the Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite, and precipitation information from the Tropical Rainfall Measuring Mission (TRMM). A total of 174 field inventories geolocated using a Differential Global Positioning System (DGPS) were used to validate the biomass estimations. …”
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Hydrologic Assessment of TRMM and GPM-Based Precipitation Products in Transboundary River Catchment (Chenab River, Pakistan) by Ehtesham Ahmed, Firas Al Janabi, Jin Zhang, Wenyu Yang, Naeem Saddique, Peter Krebs

“…A semidistributed hydrological model of The soil and water assessment tool (SWAT) was set up and two renowned satellite precipitation products, i.e., global precipitation mission (GPM) IMERG-F v6 and tropical rainfall measuring mission (TRMM) 3B42 v7, were selected to assess the runoff pattern in Chenab River. …”
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Evaluation of Eight Global Precipitation Datasets in Hydrological Modeling by Yiheng Xiang, Jie Chen, Lu Li, Tao Peng, Zhiyuan Yin

“…These PPs include the Global Precipitation Climatology Centre (GPCC), Climate Hazards Group Infrared Precipitation with Station dataset (CHIRPS) V2.0, Climate Prediction Center Morphing Gauge Blended dataset (CMORPH BLD), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Climate Data Record (PERSIANN CDR), Tropical Rainfall Measuring Mission multi-satellite Precipitation Analysis 3B42RT (TMPA 3B42RT), Multi-Source Weighted-Ensemble Precipitation (MSWEP V2.0), European Center for Medium-range Weather Forecast Reanalysis 5 (ERA5) and WATCH Forcing Data methodology applied to ERA-Interim Data (WFDEI). …”
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Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations by W. Qi, C. Zhang, G. Fu, C. Sweetapple, H. Zhou

“…The investigated precipitation products are Tropical Rainfall Measuring Mission (TRMM) products (TRMM3B42 and TRMM3B42RT), Global Land Data Assimilation System (GLDAS)/Noah, Asian Precipitation – Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and a Global Satellite Mapping of Precipitation (GSMAP-MVK+) product. …”
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Latent heating profiles from GOES-16 and its impacts on precipitation forecasts by Y. Lee, C. D. Kummerow, C. D. Kummerow, M. Zupanski

“…For climate studies, LH has been retrieved from the precipitation radar on the Tropical Rainfall Measuring Mission (TRMM) using model simulations in a lookup table (LUT) that relates instantaneous radar data to corresponding heating profiles. …”
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Interactions between Climate, Land Use and Vegetation Fire Occurrences in El Salvador by Dolors Armenteras, Cerian Gibbes, Carla A. Vivacqua, Juan Sebastián Espinosa, Wania Duleba, Fabio Goncalves, Christopher Castro

“…We also use land use data and rainfall observations derived from the Tropical Rainfall Measuring Mission (TRMM) data to determine the spatial and temporal variability and interactions of these factors. …”
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Large scale snow water equivalent status monitoring: comparison of different snow water products in the upper Colorado Basin by G. A. Artan, J. P. Verdin, R. Lietzow

“…The model was forced with precipitation fields from the National Weather Service (NWS) Multi-sensor Precipitation Estimator (MPE) and the Tropical Rainfall Measuring Mission (TRMM) data-sets; remaining meteorological model input data were from NOAA's Global Forecast System (GFS) model output fields. …”
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Simulating precipitation radar observations from a geostationary satellite by A. Okazaki, A. Okazaki, T. Honda, S. Kotsuki, S. Kotsuki, M. Yamaji, T. Kubota, R. Oki, T. Iguchi, T. Miyoshi, T. Miyoshi, T. Miyoshi, T. Miyoshi, T. Miyoshi

“…<p>Spaceborne precipitation radars, such as the Tropical Rainfall Measuring Mission (TRMM) and the Global Precipitation Measurement (GPM) Core Observatory, have been important platforms to provide a direct measurement of three-dimensional precipitation structure globally. …”
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Monitoring of Drought Condition and Risk in Bangladesh Combined Data From Satellite and Ground Meteorological Observations by Foyez Ahmed Prodhan, Jiahua Zhang, Yun Bai, Til Prasad Pangali Sharma, Upama Ashish Koju

“…We identified drought occurrence and its dynamics with three-time scale, i.e., SPI3J (November-January), SPI3A (February-April) and SPI6A (November-April), and three rice-growing seasons, i.e., Aus (March-July), Aman (June-November), and Boro (November-May) from TRMM (Tropical Rainfall Measuring Mission) and MODIS (Moderate Resolution Imaging Spectroradiometer) data. …”
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Preliminary Utility of the Retrospective IMERG Precipitation Product for Large-Scale Drought Monitoring over Mainland China by Linyong Wei, Shanhu Jiang, Liliang Ren, Linqi Zhang, Menghao Wang, Zheng Duan

“…Furthermore, the IMERG has obvious drought monitoring abilities, which was also complemented when compared with the Precipitation Estimation from the Remotely Sensed Information using Artificial Neural Networks Climate Data Record (PERSIANN-CDR), Climate Hazards Group Infrared Precipitation with Stations (CHIRPS), and Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) 3B42V7. …”
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Assessment of IMERG-V06 Precipitation Product over Different Hydro-Climatic Regimes in the Tianshan Mountains, North-Western China by Muhammad Naveed Anjum, Ijaz Ahmad, Yongjian Ding, Donghui Shangguan, Muhammad Zaman, Muhammad Wajid Ijaz, Kaleem Sarwar, Haidong Han, Min Yang

“…The performance of IMERG-V06 was compared with IMERG-V05 and the Tropical Rainfall Measuring Mission (TRMM) 3B42V7 precipitation products. …”
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