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Hamidreza Mosaffa

Hamidreza Mosaffa
Research Institute for Geo-Hydrological Protection

About

7
Publications
1,777
Reads
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72
Citations
Citations since 2017
7 Research Items
71 Citations
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2017201820192020202120222023010203040
Introduction
Skills and Expertise

Publications

Publications (7)
Chapter
During the past decades, consistent efforts have been undertaken to model the Earth's hydrological cycle. Multiple mathematical models have been designed to understand, predict, and manage water resources, particularly under the context of climate change. A variable that has traditionally received limited attention by the hydrological community—but...
Article
Rainfall estimation using remote sensing products is an alternative to in situ measurement rainfall due to their high temporal and spatial resolution. Using satellite soil moisture (SM) observations in the SM to Rain (SM2RAIN) algorithm have a great potential to estimate rainfall. SMA2RAIN-NWF algorithm is a reinforced version of a SMA2RAIN algorit...
Article
Variability and spatiotemporal changes in precipitation characteristics can have profound socioenvironmental impacts. Several studies have shown that the frequency and/or magnitude of precipitation events have changed over the contiguous United States (CONUS) in the past decades. Most previous studies used only one precipitation dataset and only in...
Chapter
Hydrology is the science of studying the natural flow of water and the effect of human activity on the water. Hydrological modeling is essential for the management and conservation of water. In recent decades, machine learning (ML) has been applied efficiently in hydrology. In this study, the application of ML in four subfields of hydrology, includ...
Article
In recent years, the number of floods following unprecedented rainfall events have increased in Iran during early spring (March 21st to April 20th, referred to in Iran as the month of “Farvadin”). While numerous studies have addressed changes in climate extremes and precipitation trends at different temporal scales from daily to annual across the c...
Article
Due to high spatial and temporal resolution and near real-time accessibility of satellite precipitation data, the necessity of using these data in the hydrological application seems to be more pressing than ever. In this study, the skill of six post real-time (Climate Hazards Group Infrared Precipitation with Station data (CHIRPS); CPC MORPHing tec...
Article
Full-text available
Spatiotemporal precipitation trend analysis provides valuable information for water management decision-making. Satellite-based precipitation products with high spatial and temporal resolution and long records, as opposed to temporally and spatially sparse rain gauge networks, are a suitable alternative to analyze precipitation trends over Iran. Th...

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Projects

Project (1)
Project
SM2RAIN is a new algorithm for estimating rainfall from soil moisture observations. The method has been applied both with in situ and satellite soil moisture data at local, regional and global scale. Here you will find the more recent updates, i.e., publications, presentations, datasets and related projects.