Results 1 to 10 of about 3,572 (219)

Enhancing rainfall–runoff model accuracy with machine learning models by using soil water index to reflect runoff characteristics

Water Science and Technology
The advancement of data-driven models contributes to the improvement of estimating rainfall–runoff models due to their advantages in terms of data requirements and high performance.
Sarunphas Iamampai, Yutthana Talaluxmana, Jirawat Kanasut, Prem Rangsiwanichpong   +3 more
doaj   +1 more source

Comparative analysis of rainfall data from remote sensing and surface stations in the Paracatu river basin, Brazilian Cerrado

Investigaciones Geográficas
Accurate precipitation estimation is essential for water resource management, especially in tropical regions where the spatial and temporal variability of rainfall presents significant challenges.
Maycow Douglas de Oliveira Silva, Paulo Sérgio Cardoso Batista, Sharrine Omari D. de Oliveira Marra, Marinaldo Loures Ferreira   +3 more
doaj   +1 more source

Evaluation and Application of Multi-Source Satellite Rainfall Product CHIRPS to Assess Spatio-Temporal Rainfall Variability on Data-Sparse Western Margins of Ethiopian Highlands

Remote Sensing, 2019
The spatio-temporal characteristic of rainfall in the Beles Basin of Ethiopia is poorly understood, mainly due to lack of data. With recent advances in remote sensing, satellite derived rainfall products have become alternative sources of rainfall data ...
Ashebir Sewale Belay, Ayele Almaw Fenta, Alemu Yenehun, Fenta Nigate, Seifu A. Tilahun, Michael M. Moges, Mekete Dessie, Enyew Adgo, Jan Nyssen, Margaret Chen, Ann Van Griensven, Kristine Walraevens   +11 more
doaj   +1 more source

Fourier Transforms of Finite Chirps

EURASIP Journal on Advances in Signal Processing, 2006
Chirps arise in many signal processing applications. While chirps have been extensively studied as functions over both the real line and the integers, less attention has been paid to the study of chirps over finite groups.
Fickus Matthew, Casazza Peter G
doaj   +1 more source

Evaluation of Chirps Tropical Rainfall Estimates Using Automatic Weather Stations for Validation in West Sumatra, Indonesia

Civil and Environmental Engineering
The availability of accurate and evenly distributed rainfall data is still a significant challenge in managing water resources in West Sumatra.
Nurhamidah Nurhamidah, Muthmainnah Tiara Assyifa, Aljauhari Alfina Mursida, Junaidi Ahmad, Adnan Nor Aizam, Andari Rafika   +5 more
doaj   +1 more source

Spatio-Temporal Evaluation of MSWEP, CHIRPS and ERA5-Land Reveals Regional-Specific Responses Across Complex Topography in Bolivia

Atmosphere
Reliable precipitation estimates are critical for climate analysis and ecosystem management in regions with complex topography and limited ground-based observations.
Álvaro Salazar, Daniel M. Larrea-Alcázar, Angéline Bertin, Nicolas Gouin, Alejandro Pareja, Luis Morales, Oswaldo Maillard, Diego Ocampo-Melgar, Francisco A. Squeo   +8 more
doaj   +1 more source

Optimum stimulus for eliciting masseter vestibular-evoked myogenic potential: a comparative exploration with three different acoustic stimuli

The Egyptian Journal of Otolaryngology
Objective To compare the EMG rectified amplitude, absolute latencies, interpeak interval, and Interaural asymmetry parameters of masseter vestibular-evoked myogenic potential (mVEMP) elicited using clicks, 500 Hz tone bursts, and 500 Hz NB CE-chirps ...
Aishwarya Nagarajan, Vinayagar Pazhani Thirusangu, Gunasekaran Mohanlal, Sujeet Kumar Sinha   +3 more
doaj   +1 more source

Convolutional neural networks-driven bias correction of satellite precipitation improves rainfall-runoff-inundation modeling

International Soil and Water Conservation Research
A convolutional neural network (CNN)-based framework is developed to address systematic biases inherent in satellite precipitation products. The CNN-based model generated a bias-corrected gridded precipitation dataset across Cambodia between 0.05° grid ...
Oudom Satia Huong, Xuan-Hien Le, Linh Nguyen Van, Giha Lee, Ty Sok   +4 more
doaj   +1 more source

Assessment of Satellite Precipitation Products in an Andean Catchment: Ambato River Basin, Ecuador

Hydrology
Accurate precipitation data are essential for hydrological planning in mountainous regions with sparse opportunities for observation, such as the Ambato River basin in Ecuador.
Pablo Arechúa-Mazón, César Cisneros-Vaca, Julia Calahorrano-González, Mery Manzano-Cepeda   +3 more
doaj   +1 more source

The performance of a high‐resolution satellite‐derived precipitation product over the topographically complex landscape of Eswatini

Geoscience Data Journal
The study evaluated the use of Climate Hazard Group InfraRed Precipitation with Stations (CHIRPS) data for monitoring rainfall data in Eswatini. Various statistical metrics such as Bias, correlation coefficient (r), mean absolute error (MAE) and root ...
Wisdom M. D. Dlamini, Samkele S. Tfwala
doaj   +1 more source