Fig. 6. Scatterplot of Long Short-Term Memory (LSTM) neural network predictions against the real prices of the whitemouth croaker commercialized at CEASA-PE from January 2013 to December 2023. Model tunned using daily data without outliers and evaluated in the dataset with (A) and without outl...
Deltaproteobacteria, Marinimicrobia, Nitrospinae, Chloroflexi, and Gemmatimonadetes which all increased in winter months (Fig.3). This seasonal pattern is driven primarily by vertical mixing with deeper waters in winter months and increasing stratification, light levels, and phytoplankton production in sum...
Before extensive exploitation of this haor it had a plentiful supply of aquatic resources and provided shelter for brood fish in winter as it was covered by swamp forest. Fish species in Hakaluki Haor have drastically declined from 1993 to 2009 [6] due to unmanaged destruction of swamp ...
Figure 2. Predictions of rainfall relative frequency that exceeded the 10 mm threshold in the NC, NS, NO, SS and SC regions in 1991. Table 1. Posterior mean, median and 95% credibility interval for the parameters 𝛽, 𝛼, 𝜙, 𝜎2β, α, ϕ, σ2 and 𝛹′ =(𝛹0,𝛹1...
Improving the forecasting of winter wheat yields in Northern China with machine learning-dynamical hybrid subseasonal-to-seasonal ensemble prediction. Remote Sens. 2022, 14, 1707. [Google Scholar] [CrossRef] Heumann, B.W.; Walsh, S.J.; McDaniel, P.M. Assessing the application of a ...
They proved that the hybrid model could potentially provide more valid predictions than a commonly-used model. With R2 = 0.82 and root mean square error of 4.6 μg/m3 [41]. Liu et al. estimated the relationship between urbanization and atmospheric environment security in Jinan City from 1996 ...
Influence of Central and East ENSO on precipitation and its extreme events in South America during austral autumn and winter. Int. J. Clim. 2016, 36, 4797–4814. [Google Scholar] [CrossRef] Saravanan, R.; Chang, P. Interaction between tropical Atlantic variability and El Niño–Southern ...
Understanding the stability of soil organic matter (SOM) is essential for making accurate predictions regarding carbon release rates. However, there is limited information on the role of chemical composition of dissolved organic matter (DOM) in SOM stability. To address this gap, the peatland soil ...
(R2) of around 0.9. However, the WRF-ROMS-SWAN model gave better results with a reduced RMSE in the surface wind and sea level anomaly predictions. Except for some cases where the atmospheric model has introduced errors during the downscaling of the ERA5 dataset, bias in the peak sea ...
In winter, the climate is cold and dry. The coldest month is January, with average temperatures ranging from −16 °C to −26 °C. Total rainfall in January is usually 10–24 mm. In spring, the temperature rises quickly, the southwest wind is frequent, and precipitation is relatively ...