The PERSIANN family of global satellite precipitation data: A review and evaluation of products

P Nguyen, M Ombadi, S Sorooshian… - Hydrology and Earth …, 2018 - hess.copernicus.org
Over the past 2 decades, a wide range of studies have incorporated Precipitation Estimation
from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products …

The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data

P Nguyen, EJ Shearer, H Tran, M Ombadi, N Hayatbini… - Scientific data, 2019 - nature.com
Abstract The Center for Hydrometeorology and Remote Sensing (CHRS) has created the
CHRS Data Portal to facilitate easy access to the three open data licensed satellite-based …

[HTML][HTML] A two-stage deep neural network framework for precipitation estimation from bispectral satellite information

Y Tao, K Hsu, A Ihler, X Gao… - Journal of …, 2018 - journals.ametsoc.org
Compared to ground precipitation measurements, satellite-based precipitation estimation
products have the advantage of global coverage and high spatiotemporal resolutions …

Assessing the efficacy of high-resolution satellite-based PERSIANN-CDR precipitation product in simulating streamflow

H Ashouri, P Nguyen, A Thorstensen… - Journal of …, 2016 - journals.ametsoc.org
This study aims to investigate the performance of Precipitation Estimation from Remotely
Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN …

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

MB Gunathilake, YV Amaratunga, A Perera… - Journal of Hydrology …, 2020 - Elsevier
Abstract 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 …

[HTML][HTML] PERSIANN Dynamic Infrared–Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation

P Nguyen, EJ Shearer, M Ombadi… - Bulletin of the …, 2020 - journals.ametsoc.org
Precipitation measurements with high spatiotemporal resolution are a vital input for
hydrometeorological and water resources studies; decision-making in disaster …

Statistics of tropical cyclone landfalls in the Philippines: unusual characteristics of 2013 Typhoon Haiyan

H Takagi, M Esteban - Natural Hazards, 2016 - Springer
The unusual statistical characteristics of Typhoon Haiyan were investigated using the JTWC
best track data from 1945 to 2013, particularly focusing on tropical cyclones making landfall …

[HTML][HTML] Flood forecasting and inundation mapping using HiResFlood-UCI and near-real-time satellite precipitation data: The 2008 Iowa flood

P Nguyen, A Thorstensen… - Journal of …, 2015 - journals.ametsoc.org
Floods are among the most devastating natural hazards in society. Flood forecasting is
crucially important in order to provide warnings in time to protect people and properties from …

[HTML][HTML] Precipitation identification with bispectral satellite information using deep learning approaches

Y Tao, X Gao, A Ihler, S Sorooshian… - Journal of …, 2017 - journals.ametsoc.org
In the development of a satellite-based precipitation product, two important aspects are
sufficient precipitation information in the satellite-input data and proper methodologies …

On the nature of sea salt aerosol at a coastal megacity: Insights from Manila, Philippines in Southeast Asia

M AzadiAghdam, RA Braun, EL Edwards… - Atmospheric …, 2019 - Elsevier
This study utilizes multiple aerosol datasets collected in Metro Manila, Philippines to
investigate sea salt aerosol characteristics. This coastal megacity allows for an examination …