Results 71 to 80 of about 1,203 (197)

An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis [PDF]

, 2017
The classical Back-Propagation (BP) scheme with gradient-based optimization in training Artificial Neural Networks (ANNs) suffers from many drawbacks, such as the premature convergence, and the tendency of being trapped in local optimums.
Asanjan, AA, Faridzad, M, Gao, X, Hayatbini, N, Sorooshian, S, Yang, T   +5 more
core   +1 more source

La Niña Impacts on Southeastern African Climate: The Influence of Event Duration

International Journal of Climatology, Volume 45, Issue 14, 30 November 2025.
ABSTRACT The multiyear La Niña event of 2020–2023, which brought with it several climate disasters across the globe, sparked both mainstream and scientific interest in La Niña events, which typically have received less attention than El Niño. In southern Africa, there is a general expectation in the scientific community and among user groups that La ...
Wanjiru Thoithi, Ross C. Blamey, Chris J. C. Reason   +2 more
wiley   +1 more source

Evaluating PERSIANN-CDR and ERA5 Precipitation Products: Insights from Bandung Raya

Jurnal Teknik Sipil
Accurate precipitation estimation is essential for hydrological studies, particularly in regions with complex climatic and topographical characteristics, such as Greater Bandung, Indonesia. This study evaluates the performance of two high-resolution global precipitation datasets (GPDs), ERA5 and PERSIANN-CDR, by comparing them against observations from
Danurendro Ramadhani Putro, Obaja Triputera Wijaya   +1 more
openaire   +1 more source

Multiple satellite-observed long-term changes in the summer diurnal precipitation over Luzon and its adjacent seas during 2000–2019

International Journal of Applied Earth Observations and Geoinformation, 2022
Long-term satellite precipitation products (SPPs) provide insight into how precipitation has changed in the past. As the changes observed from various SPPs may differ, research is needed to clarify related uncertainties using multiple SPPs.
Wan-Ru Huang, Jie Hsu, Pin-Yi Liu, Liping Deng   +3 more
doaj   +1 more source

Uncovering Rainfall Trend Discrepancies in Brazil (1983–2022): Insights From Ground‐Based and Blended Datasets

International Journal of Climatology, Volume 45, Issue 13, 15 November 2025.
Performance comparison between ground‐based (BR‐DWGD), satellite‐based (CHIRPS and PERSIANN‐CDR) and reanalysis (ERA5‐Land and MERRA‐2) rainfall datasets highlighted challenges in interpreting rainfall trends due to limitations of datasets’ methodologies, the scope of the effects of climate change, and the researchers' understanding.
Jaqueline Vígolo Coutinho, Guillaume Francis Bertrand, Victor Hugo Rabelo Coelho, Emerson da Silva Freitas, Geraldo Moura Ramos Filho, Cristiano das Neves Almeida   +5 more
wiley   +1 more source

Comprehensive evaluation of mainstream gridded precipitation datasets in the cold season across the Tibetan Plateau

Journal of Hydrology: Regional Studies, 2022
Study region: The Tibetan Plateau (TP). Study focus: This study evaluated the accuracy of six mainstream gridded precipitation products, including the Asian precipitation dataset by calibrating the GPM-era IMERG (AIMERG), Climate Hazards group InfraRed ...
Lele Zhang, Liming Gao, Ji Chen, Lin Zhao, Jingyi Zhao, Yongping Qiao, Jianzong Shi   +6 more
doaj   +1 more source

Evaluation of Machine Learning Models to Improve Daily Precipitation Estimations From Orbital Remote Sensing and Reanalysis Data

International Journal of Climatology, Volume 45, Issue 12, October 2025.
Combined machine learning methods improve satellite‐based data (IMERG) in Brazil to produce accurate daily precipitation estimations in Brazil (IMERG BraMaL‐D) without dependence on ground‐based data. Calibration on the accumulated daily scale for a monthly scale is more efficient than monthly calibration.
Emerson da Silva Freitas, Victor Hugo Rabelo Coelho, Guillaume Francis Bertrand, Filipe Carvalho Lemos, Cristiano das Neves Almeida   +4 more
wiley   +1 more source

Evaluation of Six Satellite-Based Precipitation Products and Their Ability for Capturing Characteristics of Extreme Precipitation Events over a Climate Transition Area in China

Remote Sensing, 2019
Extreme precipitation has received much attention because of its implications for hazard assessment and risk management. However, accurate precipitation information for extreme precipitation research from dense rain gauges is still difficult to obtain in
Jie Liu, Jun Xia, Dunxian She, Lingcheng Li, Qiang Wang, Lei Zou   +5 more
doaj   +1 more source

Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes

Atmospheric Research, 2022
Abstract Evaluation of satellite-based quantitative precipitation estimates (QPEs) with reliable and independent ground-based measurements is important for both product developers and users. Here, we present a comprehensive evaluation on 3 high-resolution QPEs, namely, the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), the ...
Yuefen Zhang, Chuanhao Wu, Pat J.-F. Yeh, Jianzhu Li, Bill X. Hu, Ping Feng, Changhyun Jun   +6 more
openaire   +1 more source

Global Increase of Tropical Cyclone Precipitation Rate Toward Coasts

Geophysical Research Letters, Volume 52, Issue 17, 16 September 2025.
Abstract Tropical cyclones (TCs) induced precipitation poses a critical threat to coastal regions. In the context of global warming and humidification, it remains to be clarified whether coastal exposure to TC‐induced precipitation has a detectable response. Based on multi‐source data sets in the past four decades, this study investigates the coastward
Weiqing Qi, Bin Yong, Elizabeth A. Ritchie, J. Scott Tyo, Ralf Toumi   +4 more
wiley   +1 more source