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 …
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 …
Application of machine learning algorithms in hydrology
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 …
on the water. Hydrological modeling is essential for the management and conservation of …
Do satellite-based products suffice for rainfall observations over data-sparse complex terrains? Evidence from the North-Western Himalayas
Remotely sensed observations are crucial for conducting meteorological studies, particularly
over complex mountainous terrains such as, the North-Western Himalayas (NWH), which …
over complex mountainous terrains such as, the North-Western Himalayas (NWH), which …
Applicability comparison of various precipitation products of long-term hydrological simulations and their impact on parameter sensitivity
Precipitation is an important component of water circulation and an essential input for
various hydrological models. A high quality, high spatial resolution, and long-term …
various hydrological models. A high quality, high spatial resolution, and long-term …
[HTML][HTML] Optimizing machine learning for agricultural productivity: A novel approach with RScv and remote sensing data over Europe
SBHS Asadollah, A Jodar-Abellan, MÁ Pardo - Agricultural Systems, 2024 - Elsevier
CONTEXT Accurate estimating of crop yield is crucial for developing effective global food
security strategies which can lead to reduce of hunger and more sustainable development …
security strategies which can lead to reduce of hunger and more sustainable development …
Application of remote sensing precipitation data and the CONNECT algorithm to investigate spatiotemporal variations of heavy precipitation: Case study of major …
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 …
increased in Iran during early spring (March 21st to April 20th, referred to in Iran as the …
How well do satellite and reanalysis precipitation products capture North American monsoon season in Arizona and New Mexico?
Assessment of the precipitation products with ground-based data is essential to building
confidence in these datasets. Precipitation products tend to have large errors in semi-arid …
confidence in these datasets. Precipitation products tend to have large errors in semi-arid …
[HTML][HTML] Performance analysis of IMD high-resolution gridded rainfall (0.25°× 0.25°) and satellite estimates for detecting cloudburst events over the northwest …
The presence of a sparse rain gauge network in complex terrain like the Himalayas has
encouraged the present study for the concerned evaluation of Indian Meteorological …
encouraged the present study for the concerned evaluation of Indian Meteorological …
Spatiotemporal variations of precipitation over Iran using the high-resolution and nearly four decades satellite-based PERSIANN-CDR dataset
Spatiotemporal precipitation trend analysis provides valuable information for water
management decision-making. Satellite-based precipitation products with high spatial and …
management decision-making. Satellite-based precipitation products with high spatial and …