Impact forecasting to support emergency management of natural hazards
Forecasting and early warning systems are important investments to protect lives, properties,
and livelihood. While early warning systems are frequently used to predict the magnitude …
and livelihood. While early warning systems are frequently used to predict the magnitude …
The PERSIANN family of global satellite precipitation data: A review and evaluation of products
Over the past 2 decades, a wide range of studies have incorporated Precipitation Estimation
from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products …
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
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 …
CHRS Data Portal to facilitate easy access to the three open data licensed satellite-based …
PERSIANN-CCS-CDR, a 3-hourly 0.04 global precipitation climate data record for heavy precipitation studies
Accurate long-term global precipitation estimates, especially for heavy precipitation rates, at
fine spatial and temporal resolutions is vital for a wide variety of climatological studies. Most …
fine spatial and temporal resolutions is vital for a wide variety of climatological studies. Most …
From TRMM to GPM: How well can heavy rainfall be detected from space?
In this study, we investigate the capabilities of the Tropical Rainfall Measuring Mission
(TRMM) Multi-satellite Precipitation Analysis (TMPA) and the recently released Integrated …
(TRMM) Multi-satellite Precipitation Analysis (TMPA) and the recently released Integrated …
Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model
The objective of this study is to compare two new generation low-complexity tools,
AutoRoute and Height Above the Nearest Drainage (HAND), with a two-dimensional …
AutoRoute and Height Above the Nearest Drainage (HAND), with a two-dimensional …
High impact weather events in the Andes
Owing to the extraordinary latitudinal extent, a strong orographic variability with very high
mountain tops, and the presence of deep valleys and steep slopes, the Andes and the …
mountain tops, and the presence of deep valleys and steep slopes, the Andes and the …
Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐and two‐dimensional hydraulic models
Hydraulic models play an important role in determining flood inundation areas. When
considering a wide array of one‐(1D) and two‐dimensional (2D) hydraulic models, selecting …
considering a wide array of one‐(1D) and two‐dimensional (2D) hydraulic models, selecting …
A high resolution coupled hydrologic–hydraulic model (HiResFlood-UCI) for flash flood modeling
HiResFlood-UCI was developed by coupling the NWS's hydrologic model (HL-RDHM) with
the hydraulic model (BreZo) for flash flood modeling at decameter resolutions. The coupled …
the hydraulic model (BreZo) for flash flood modeling at decameter resolutions. The coupled …
Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information
Reliable near real-time precipitation estimates are essential for monitoring and managing of
natural disasters such as floods. Quality of inputs and capability of the retrieval algorithm are …
natural disasters such as floods. Quality of inputs and capability of the retrieval algorithm are …