In-season maize yield prediction in Northeast China: The phase-dependent benefits of assimilating climate forecast and satellite observations

C Lu, G Leng, X Liao, H Tu, J Qiu, J Li, S Huang… - Agricultural and Forest …, 2024 - Elsevier
Various yield forecasting methods have been reported in literature, but the benefits of
assimilating seasonal climate forecasts and satellite observations for in-season yield …

Assessment of the urban heat island in the city of Tehran using reliability methods

MS Jahangir, S Moghim - Atmospheric Research, 2019 - Elsevier
Climate change affects temperature, magnitude, and also the duration of the Urban Heat
Island (UHI), which has severe impacts on the environment, communities, and the people's …

A probabilistic climate change assessment for Europe

S Moghim, AJ Teuling… - International Journal of …, 2022 - Wiley Online Library
Globally, the impacts of climate change can vary across different regions. This study uses a
probability framework to evaluate recent historical (1976–2016) and near‐future projected …

Reliability assessment of the wind power density using uncertainty analysis

S Moghim - Sustainable Energy Technologies and Assessments, 2021 - Elsevier
Abstract Evaluation of the wind energy potential in different climates includes high level of
uncertainties. To address the uncertainties, this study performs reliability analysis by …

An integrated assessment of extreme hydrometeorological events in Bangladesh

S Moghim, A Takallou - Stochastic Environmental Research and Risk …, 2023 - Springer
Climate and extreme hydrometeorological studies are required to reduce risk and
vulnerabilities. This study uses different cumulus and microphysics schemes in Weather …

SSAS: spatiotemporal scale adaptive selection for improving bias correction on precipitation

Y Liu, J Zhang, L Chen, H Chu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
By utilizing physical models of the atmosphere collected from the current weather conditions,
the numerical weather prediction model developed by the European Centre for Medium …

Downscaling of the flood discharge in a probabilistic framework

S Moghim, MA Gharehtoragh - Journal of Hydro-environment Research, 2022 - Elsevier
Many modeled and observed data are in coarse resolution, which are required to be
downscaled. This study develops a probabilistic method to downscale 3-hourly runoff to …

Corrección de sesgo en pronósticos de precipitación basado en aprendizaje de máquina.

GA Intriago Velásquez - 2024 - bibdigital.epn.edu.ec
La predicción meteorológica numérica (NWP por sus siglas en inglés) es una de las
herramientas de modelamiento operacional más importantes en el campo de la …

[PDF][PDF] SSAS: Spatiotemporal Scale Adaptive Selection for Improving Bias Correction on Precipitation

JZ YiqunLiu, L Chen, H Chu, JZ Wang, L Ma - researchgate.net
By utilizing physical models of the atmosphere collected from the current weather conditions,
the numerical weather prediction model developed by the European Centre for Medium …