Aplikasi teknik remote sensing bagi terbitan maklumat hasilan air di Semenanjung Malaysia by Ali, Mohamad Idris

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Development of geospatial model for Metisa plana (Walker) outbreak and outbreak prediction in oil palm plantations in Malaysia by Ruslan, Siti Aisyah

“…Moderate Resolution Imaging Spectroradiometer (MODIS) and The Tropical Rainfall Measuring Mission (TRMM) satellite images providing values of land surface temperature (LST), rainfall (RF), relative humidity (RH), and Normalized Difference Vegetation Index (NDVI) were extracted and apportioned to 6 time lags; 1 week (T1), 2 weeks (T2), 3 week (T3), 4 weeks (T4), 5 week (T5) and 6 weeks (T6). …”
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Aplikasi teknik remote sensing bagi terbitan maklumat hasilan air di Semenanjung Malaysia by Ali, Mohamad Idris

“…The specific objectives were to investigate on: (i) derivation of information on monthly rainfall from Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis (TMPA) satellite data; (ii) derivation of monthly Actual- Evapotranspiration (AET) from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite with Normalized Differential Vegetation Index (NDVI) data product; (iii) derivation of water yield from fully satellite-based information using water balance analysis; and (iv) water yield variation, with respect to changes of corresponding land cover and land use. …”
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Geographically weighted regression model for spatial downscaling of global precipitation measurements data in Kelantan by Ramlan, Noor Emi Fadzilah

“…To overcome such limitations, the Tropical Rainfall Measuring Mission (TRMM) and the Global Precipitation Measurement (GPM) which are remote sensing precipitation satellite missions, have been used at a regional scale to provide reliable precipitation estimates over large spatial extent within the spatial resolution of 0.25o and 0.1o respectively. …”
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SWAT use of gridded observations for simulating runoff – a Vietnam river basin study by M. T. Vu, S. V. Raghavan, S. Y. Liong

“…Five popular gridded observation precipitation datasets: (1) Asian Precipitation Highly Resolved Observational Data Integration Towards the Evaluation of Water Resources (APHRODITE), (2) Tropical Rainfall Measuring Mission (TRMM), (3) Precipitation Estimation from Remote Sensing Information using Artificial Neural Network (PERSIANN), (4) Global Precipitation Climatology Project (GPCP), (5) a modified version of Global Historical Climatology Network (GHCN2) and one reanalysis dataset, National Centers for Environment Prediction/National Center for Atmospheric Research (NCEP/NCAR) are used to simulate runoff over the Dak Bla river (a small tributary of the Mekong River) in Vietnam. …”
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Early morning peaks in the diurnal cycle of precipitation over the northern coast of West Java and possible influencing factors by E. Yulihastin, E. Yulihastin, T. Wahyu Hadi, N. Sari Ningsih, M. Ridho Syahputra

“…<p>The diurnal cycles of precipitation over the northern coast of West Java have been studied using the Tropical Rainfall Measuring Mission (TRMM) Real Time Multi-satellite Precipitation Analyses (TMPA-RT) products with records spanning from 2000 to 2016, with emphasis on the occurrences of early morning precipitation peaks. …”
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Using Convective Available Potential Energy (CAPE) and Dew-Point Temperature to Characterize Rainfall-Extreme Events in the South-Central Andes by Maryam Ramezani Ziarani, Bodo Bookhagen, Torsten Schmidt, Jens Wickert, Alejandro de la Torre, Rodrigo Hierro

“…Our analysis relies on version 2.0 of the ECMWF’s (European Centre for Medium-Range Weather Forecasts) Re-Analysis (ERA-interim) data and TRMM (Tropical Rainfall Measuring Mission) data. We make the following key observations: First, we observe distinctive gradients along and across strike of the Andes in dew-point temperature and CAPE that both control rainfall distributions. …”
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Relating surface backscatter response from TRMM precipitation radar to soil moisture: results over a semi-arid region by H. Stephen, S. Ahmad, T. C. Piechota, C. Tang

“…The Tropical Rainfall Measuring Mission (TRMM) carries aboard the Precipitation Radar (TRMMPR) that measures the backscatter (&amp;sigma;°) of the surface. …”
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Landslides Triggered by the May 2017 Extreme Rainfall Event in the East Coast Northeast of Brazil by Nikolai S. Espinoza, Carlos A. C. dos Santos, Madson T. Silva, Helber B. Gomes, Rosaria R. Ferreira, Maria L. da Silva, Cláudio M. Santos e Silva, Cristiano P. de Oliveira, João Medeiros, Jason Giovannettone, Venerando E. Amaro, Celso A. G. Santos, Manoranjan Mishra

“…The RegCM numerical simulation underestimated the high daily rainfall signal seen on the Tropical Rainfall Measuring Mission satellite. It is suggested that sensitivity tests can be performed using other physical parameters to find the best model configuration for the ECNEB. …”
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Using High-Density Rain Gauges to Validate the Accuracy of Satellite Precipitation Products over Complex Terrains by Linfei Yu, Yongqiang Zhang, Yonghui Yang

“…The objective of this study is to evaluate three SPPs—the Climate Prediction Center morphing method bias corrected product (CMORPH CRT), Global Precipitation Measurement Integrated MultisatellitE Retrievals (IMERG), and Tropical Rainfall Measuring Mission 3B42V7 (TRMM 3B42V7) against a high-density network of 104 rain gauges over the Taihang Mountains from 1 January 2016 to 31 December 2017, with special focus on the reliability of products’ performance at different elevation and precipitation intensity. …”
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Introducing Variations of Predictors as Optional Predictors Offers the Potential to Improve the Downscaling Performance of Geographically Weighted Regression Model by Haijun Zhang, Jingfeng Bai, Sha Dai, Pengcheng Qi, Shuzhuan Wang, Hongyan Fan

“…In this study, one of the most frequently downscaled satellite products (Tropical Rainfall Measuring Mission (TRMM) precipitation) and one of the most commonly employed downscaled models (geographically weighted regression (GWR)) were chosen as the target variable to be downscaled and the downscaling model, respectively. …”
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Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China by Xi Jiang, Yanli Liu, Yongxiang Wu, Gaoxu Wang, Xuan Zhang, Qingbo Meng, Pengfei Gu, Tao Liu

“…The precipitation products were Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis 3B42 version 7 (TRMM 3B42 V7), Global Satellite Mapping of Precipitation (GSMaP MVK), Integrated Multi-satellitE Retrievals for GPM final run (GPM IMERG Final), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network—Climate Data Record (PERSIANN-CDR), Climate Hazards Infrared Precipitation with Stations version 2.0 (CHIRPS V2.0), and the Global Land Data Assimilation System version 2.0 (GLDAS V2.0). …”
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A New and Simplified Approach for Estimating the Daily River Discharge of the Tibetan Plateau Using Satellite Precipitation: An Initial Study on the Upper Brahmaputra River by Tian Zeng, Lei Wang, Xiuping Li, Lei Song, Xiaotao Zhang, Jing Zhou, Bing Gao, Ruishun Liu

“…In this study, we propose a method for estimating daily river discharge (RD) based on free, operational remote sensing precipitation data (Tropical Rainfall Measuring Mission (TRMM), since 2001). In this method, an exponential filter was implemented to produce a new precipitation time series from daily basin-averaged precipitation data to model the time lag of precipitation in supplying RD, and a linear-regression relationship was constructed between the filtered precipitation time series and observed discharge records. …”
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Assessing the Potential of IMERG and TMPA Satellite Precipitation Products for Flood Simulations and Frequency Analyses over a Typical Humid Basin in South China by Shanhu Jiang, Yu Ding, Ruolan Liu, Linyong Wei, Yating Liu, Mingming Ren, Liliang Ren

“…This study aims to evaluate the utility of IMERG Final run (IMERG-F), Late run (IMERG-L) and Early run (IMERG-E) products, in flood simulations and frequency analyses over the Mishui basin in Southern China during 2000–2017, in comparison with their predecessors, the Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) products (3B42RT and 3B42V7). …”
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Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging by Daniel Fiifi Tawia Hagan, Guojie Wang, Seokhyeon Kim, Robert M. Parinussa, Yi Liu, Waheed Ullah, Asher Samuel Bhatti, Xiaowen Ma, Tong Jiang, Buda Su

“…These include the Special Sensor Microwave Imagers (SSM/I), the Tropical Rainfall Measuring Mission (TRMM/TMI), the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) sensor on the National Aeronautics and Space Administration’s (NASA) Aqua satellite, the WindSAT radiometer, onboard the Coriolis satellite and the soil moisture retrievals from the Advanced Microwave Scanning Radiometer 2 (AMSR2) sensor onboard the Global Change Observation Mission on Water (GCOM-W). …”
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Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia by Jiabin Peng, Tie Liu, Yue Huang, Yunan Ling, Zhengyang Li, Anming Bao, Xi Chen, Alishir Kurban, Philippe De Maeyer

“…The gauge-adjusted version of six widely used datasets was adopted; namely, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (CDR), Climate Hazards Group Infrared Precipitation with Stations (CHIRPS), Global Precipitation Measurement Ground Validation National Oceanic and Atmospheric Administration Climate Prediction Center (NOAA CPC) Morphing Technique (CMORPH), Integrated Multi-Satellite Retrievals for GPM (GPM), Global Satellite Mapping of Precipitation (GSMaP), the Tropical Rainfall Measuring Mission (TRMM) and Multi-satellite Precipitation Analysis (TMPA). …”
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Evaluation and Hydrologic Validation of Three Satellite-Based Precipitation Products in the Upper Catchment of the Red River Basin, China by Yueyuan Zhang, Yungang Li, Xuan Ji, Xian Luo, Xue Li

“…The SPPs included the Tropical Rainfall Measuring Mission (TRMM) 3B42 V7 product, the Climate Prediction Center (CPC) Morphing Algorithm (CMORPH), the Bias-corrected product (CMORPH_CRT), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) Climate Data Record (PERSIANN_CDR) products. …”
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Estimating Time Series Soil Moisture by Applying Recurrent Nonlinear Autoregressive Neural Networks to Passive Microwave Data over the Heihe River Basin, China by Zheng Lu, Linna Chai, Shaomin Liu, Huizhen Cui, Yanghua Zhang, Lingmei Jiang, Rui Jin, Ziwei Xu

“…The input training data consisted of the X-band dual polarization brightness temperature (TB) and the Ka-band V polarization TB from the Advanced Microwave Scanning Radiometer II (AMSR2), Global Land Satellite product (GLASS) Leaf Area Index (LAI), precipitation from the Tropical Rainfall Measuring Mission (TRMM) and the Global Precipitation Measurement (GPM), and a global 30 arc-second elevation (GTOPO-30). …”
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Rainfall in an experimental watershed: a comparison between observed and TRMM 3B42V7 dataset by L. R. Barbosa, E. S. Freitas, C. N. Almeide, D. C. D. Melo

“…This paper compares the monitored yearly and monthly rainfall in the Guaraíra experimental watershed with data from the Tropical Rainfall Measuring Mission (TRMM) 3B42 Version-7 product. …”
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Assessment of small-scale variability of rainfall and multi-satellite precipitation estimates using measurements from a dense rain gauge network in Southeast India by K. Sunilkumar, T. Narayana Rao, S. Satheeshkumar

“…The performance of Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA) is much better at daily resolution than at 3-hourly, as evidenced by better statistical metrics than the other MPEs. …”
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