This study evaluates rainfall estimates from the Next Generation Weather Radar (NEXRAD), operational rain gauges, Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) in the context as inputs to a calibrated, distributed hy...

Data Hujan merupakan parameter utama dalam menghitung debit andalan, banyaknya kendala perhitungan tersebut, seperti minimnya ketersediaan data, data tidak lengkap/kosong, stasiun hujan berada didalam daerah aliran sungai (DAS), pencatatan masih manual, dan tersedianya muka air sungai/automatic water level recorder (AWLR). Untuk mengatasi permasalahan dapat digunakan satelit yang memiliki resol...

[1] This paper presents an empirical method for converting reflectivity from Ku-band (13.8GHz) to S-band (2.8GHz) for several hydrometeor species, which facilitates the incorporation of Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) measurements into quantitative precipitation estimation (QPE) products from the U.S. Next-Generation Radar (NEXRAD). The development of empiric...

10 The constellation of space-borne passive microwave (MW) sensors, coordinated under 11 the framework of the Precipitation Measurement Missions international agreement, 12 continuously produces observations of clouds and precipitation all over the globe. The Goddard 13 Profiling Algorithm (GPROF) is designed to infer the instantaneous surface precipitation rate 14 from the measured MW radiance...

This study contributes to the estimation of the global mean and zonal distribution of oceanic precipitation rate using complementary information from advanced precipitation measuring sensors and provides an independent reference to assess current precipitation products. Precipitation estimates from the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) and CloudSat cloud profil...

The overall objective of this study is to evaluate and correct the Tropical Rainfall Measuring Mission (TRMM) 3B42 algorithm for Northern Tunisia focusing on heavy rainfall events. Two types correction methods are tested. first combined scheme (CoSch) which was applied in two different ways. CoSch (1) combines satellite data with interpolated situ data. However, (2) a not map where pixel value ...

Satellite technologies provide valuable areal precipitation datasets in alpine mountains. However, coarse resolution still limits the use of satellite hydrological and meteorological research. We evaluated different time scales magnitudes Tropical Rainfall Measurement Mission 3B43 V7 (TRMM) Global Precipitation (GPM) products for regions using ground from January 2015 to June 2019 obtained 25 n...

The latest Version-7 (V7) Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) products were released by the National Aeronautics and Space Administration (NASA) in December of 2012. Their performance OPEN ACCESS

[1] This study uses TRMM lightning and radar observations to study the fundamental relationship between precipitation ice mass and lightning flash density. The results indicate that the physical assumptions of precipitation-based charging and mixed phase precipitation development are robust and that on a global scale, the relationship between precipitation ice water path and lightning flash den...