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Kidist Hilemicael Gonfa, Tena Alamirew and Assefa M Melesse
Understanding hydro-climate variability in areas where communities are strongly dependent on subsistence natural resource-based economies at finer spatial resolution can have substantial benefits for effective agricultural water management. This study in...
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Ting-Hsuan Chen, Meng-Hsin Lee, I-Wen Hsia, Chia-Hui Hsu, Ming-Hwi Yao and Fi-John Chang
Agriculture is extremely vulnerable to climate change. Greenhouse farming is recognized as a promising measure against climate change. Nevertheless, greenhouse farming frequently encounters environmental adversity, especially greenhouses built to protect...
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Eric W. Harmsen, John R. Mecikalski, Victor J. Reventos, Estefanía Álvarez Pérez, Sopuruchi S. Uwakweh and Christie Adorno García
In 2009, the University of Alabama-Huntsville configured their GOES satellited-based solar radiation product to include Puerto Rico, the US Virgin Islands (USVI), Dominican Republic, Haiti, Jamaica, and Cuba. The half-hourly and daily integrated data are...
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Mark R. Jury
Near-surface winds around the mountainous Caribbean islands contribute to orographic lifting and thermal diurnal rainfall that requires mesoscale analysis. Here, a new perspective is presented via high-resolution satellite and reanalysis products. Singul...
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Mahtsente Tibebe Tadese, Lalit Kumar, Richard Koech and Birhanu Zemadim
The objective of this study was to characterize, quantify and validate the variability and trends of hydro-climatic variables in the Awash River Basin (ARB) in Ethiopia using graphical and statistical methods. The rainfall and streamflow trends and their...
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Júlio César Penereiro,Luíza La Salvia Martins,Victor Zeni Beretta
Mudanças promovidas pelo clima e por ações antrópicas podem gerar significativos impactos sobre o regime hidrológico de uma bacia hidrográfica. Neste estudo, avaliou-se a ocorrência de tendências em séries temporais anuais de precipitação pluviométrica, ...
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Soojin Moon, Boosik Kang
Pág. 1 - 22
For reliable prediction of sediment yield in a watershed, fine-scale projections for hydro-climate components were first obtained using the statistical bias correction and downscaling scheme based on the combination of an Artificial Neural Network (ANN),...
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