[HTML][HTML] Probabilistic predictions for meteorological droughts based on multi-initial conditions

MÁ Torres-Vázquez, F Di Giuseppe, E Dutra… - Journal of …, 2024 - Elsevier
Seasonal forecasts of meteorological drought can aid decision-making in various sectors but
must be trustful and skillful. One of the major drawbacks of such forecasts lies in the inherent …

Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran

M Akbarian, B Saghafian, S Golian - Journal of Hydrology, 2023 - Elsevier
Seasonal hydrological forecasts play a critical role in water resources management. The
Copernicus Climate Change Service (C3S) data store provides open access to monthly …

Global scale evaluation of precipitation datasets for hydrological modelling

SH Gebrechorkos, J Leyland… - Hydrology and Earth …, 2023 - hess.copernicus.org
Precipitation is the most important driver of the hydrological cycle but is challenging to
estimate over large scales from satellites and models. Here, we assessed the performance …

[HTML][HTML] Forecasting, thresholds, and triggers: Towards developing a Forecast-based Financing system for droughts in Mozambique

GG Nobre, M Pasqui, S Quaresima, S Pieretto… - Climate Services, 2023 - Elsevier
To support Mozambique in the mitigation and management of droughts, the World Food
Programme (WFP) is seeking to implement innovative approaches to protect people's …

Ready, Set & Go! An anticipatory action system against droughts

G Guimarães Nobre, J Towner… - … Hazards and Earth …, 2024 - nhess.copernicus.org
Abstract The World Food Programme, in collaboration with the Mozambique National
Meteorology Institute, is partnering with several governmental and non-governmental …

A Two‐Stage Framework for Bias and Reliability Tests of Ensemble Hydroclimatic Forecasts

T Zhao, S Xiong, J Wang, Z Liu, Y Tian… - Water Resources …, 2022 - Wiley Online Library
The popular probability integral transform (PIT) uniform plot presents informative empirical
illustrations of five types of ensemble forecasts, that is, reliable, under‐confident, over …

ENSO teleconnections and predictability of the boreal summer temperature over the Arabian Peninsula in C3S and Saudi-KAU seasonal forecast systems

M Almazroui, MS Khalid, MA Abid, IU Rashid… - Atmospheric …, 2024 - Elsevier
Abstract Seasonal Forecasting of the Arabian Peninsula (AP) Surface Air Temperature (SAT)
during boreal summer (June–July-August; JJA) season is essential for socio-economic …

Skill assessment of Saudi-KAU and C3S models in prediction of spring season rainfall over the Arabian Peninsula

M Almazroui, S Khalid, S Kamil, M Ismail, MN Islam… - Atmospheric …, 2022 - Elsevier
A skillful prediction of precipitation has great value, particularly for regions that suffer from
water stress. In this study, we assess the potential predictability and skill of the Copernicus …

[HTML][HTML] Deep Learning Integration of Multi-Model Forecast Precipitation Considering Long Lead Times

W Fang, H Qin, Q Lin, B Jia, Y Yang, K Shen - Remote Sensing, 2024 - mdpi.com
Reliable forecast precipitation can support disaster prevention and mitigation and
sustainable socio-economic development. Improving forecast precipitation accuracy …

Seasonal predictability of the Quasi‐Biennial Oscillation based on the current dynamical models

C Zhou, HL Ren, W Xu, W Jie… - Journal of Geophysical …, 2025 - Wiley Online Library
The quasi‐biennial oscillation (QBO) is the dominant mode of interannual variability in the
tropical stratosphere and influences climate worldwide. This study investigates the seasonal …