Results 31 to 40 of about 576 (159)

Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR

Journal of Hydrometeorology, 2017
Abstract The purpose of this study is to use the PERSIANN–Climate Data Record (PERSIANN-CDR) dataset to evaluate the ability of 32 CMIP5 models in capturing the behavior of daily extreme precipitation estimates globally. The daily long-term historical global PERSIANN-CDR allows for a global investigation of eight precipitation indices ...
Xiaogang Gao, KuoLin Hsu, Chiyuan Miao, Hamed Ashouri, Hoang Tran, Qian Zhu, Soroosh Sorooshian, Andrea Thorstensen, Phu Nguyen   +8 more
openaire   +1 more source

Satellite-Based Precipitation Measurement Using PERSIANN System [PDF]

, 2008
PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks) is a satellite-based rainfall estimation algorithm. It uses local cloud textures from longwave infrared images of the geostationary environmental satellites to estimate surface rainfall rates based on an artificial neural network algorithm.
Hsu, Kuo-Lin, Sorooshian, Soroosh
openaire   +2 more sources

Evaluating applicability of multi-source precipitation datasets for runoff simulation of small watersheds: a case study in the United States

European Journal of Remote Sensing, 2020
Small watersheds are ideal objects for studying the evolution of hydrological and water resources at small scales. Whether precipitation products can meet the runoff simulation of small watersheds is the main purpose of this study.
Kepeng Feng, Yang Hong, Juncang Tian, Xiangyu Luo, Guoqiang Tang, Guangyuan Kan   +5 more
doaj   +1 more source

Using gridded rainfall products in simulating streamflow in a tropical catchment – A case study of the Srepok River Catchment, Vietnam

Journal of Hydrology and Hydromechanics, 2017
The precise rainfall estimate with appropriate spatial and temporal resolutions is a key input to distributed hydrological models. However, networks of rain gauges are often sparsely distributed in developing countries. To overcome such limitations, this
Thom Vu Thi, Khoi Dao Nguyen, Linh Do Quang   +2 more
doaj   +1 more source

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS [PDF]

Remote Sensing, 2020
Satellite remote sensing plays a pivotal role in characterizing hydrometeorological components including cloud types and their associated precipitation. The Cloud Profiling Radar (CPR) on the Polar Orbiting CloudSat satellite has provided a unique dataset to characterize cloud types. However, data from this nadir-looking radar offers limited capability
Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani   +6 more
openaire   +4 more sources

Statistical evaluation and hydrologic simulation capacity of different satellite-based precipitation products (SbPPs) in the Upper Nan River Basin, Northern Thailand

Journal of Hydrology: Regional Studies, 2020
Study region: The Upper Nan River Basin, Northern Thailand Study focus: Precipitation is a major component of the hydrological cycle. A large number of remotely sensed precipitation products are used in hydro-meteorological studies. The accuracy of these
Miyuru B. Gunathilake, Yasasna V. Amaratunga, Anushka Perera, Chamaka Karunanayake, Anura S. Gunathilake, Upaka Rathnayake   +5 more
doaj   +1 more source

Comparative Analysis of the Performance of Gridded Precipitation Products Over Iran [PDF]

Water Harvesting Research
Precipitation provides the most crucial input for hydrological modeling. Rainfall Estimation from rain gauges is the most common and traditional method have been used widely to measure rainfall at catchment scales.
Ali Gorjizadeh, Ali Moridi
doaj   +1 more source

Performance Assessment of Chirps, Persiann – CDR, IMERG, and TMPA Precipitation Products across Nepal

Journal of Advanced College of Engineering and Management, 2023
The observation of hydrological as well as meteorological data is very essential for any kind of hydraulic and hydrological study. In Nepal, due to the significant variation of topography and climatic characteristics as well it is necessary to establish the meteorological stations densely, here only 231 meteorological stations are available and are ...
Suraj Lamichhane, Nitesh Sharma, Nirajan Devkota   +2 more
openaire   +1 more source

Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model [PDF]

Hydrology and Earth System Sciences, 2019
In general, there are no long-term meteorological or hydrological data available for karst river basins. The lack of rainfall data is a great challenge that hinders the development of hydrological models. Quantitative precipitation estimates (QPEs) based
J. Li, D. Yuan, D. Yuan, J. Liu, Y. Jiang, Y. Chen, K. L. Hsu, S. Sorooshian   +7 more
doaj   +1 more source

Satellite and Reanalysis Dataset Dependence of ETCCDI Extreme Precipitation Trends in Paraná, Southern Brazil

International Journal of Climatology, Volume 46, Issue 12, October 2026.
Extreme precipitation trends detected in Paraná, Southern Brazil (1983–2024), are strongly conditioned by the dataset used, with reanalyses indicating coherent inland drying and longer dry spells, observations retaining stronger mesoscale heterogeneity, and satellite products often showing declines in short‐duration extremes. Monthly diagnostics reveal
Paulo Miguel de Bodas Terassi, Jakeline Baratto, Vitor Hugo Rosa Biffi   +2 more
wiley   +1 more source