Results 21 to 30 of about 2,899,788 (293)

Progress and Challenges of Demand-Led Co-Produced Sub-Seasonal-to-Seasonal (S2S) Climate Forecasts in Nigeria

Frontiers in Climate, 2021
This paper identifies fundamental issues which prevent the effective uptake of climate information services in Nigeria. We propose solutions which involve the extension of short-range (1 to 5 days) forecasts beyond that of medium-range (7 to 15 days ...
Kamoru A. Lawal, Kamoru A. Lawal, Eniola Olaniyan, Ibrahim Ishiyaku, Linda C. Hirons, Elisabeth Thompson, Joshua Talib, Victoria L. Boult, Stephen Bunmi Ogungbenro, Imoleayo Ezekiel Gbode, Vincent Olanrewaju Ajayi, Emmanuel Chilekwu Okogbue, Elijah A. Adefisan, Elijah A. Adefisan, Victor S. Indasi, Lorraine Youds, Elias Nkiaka, Dáithí A. Stone, Richard Nzekwu, Olusegun Folorunso, John A. Oyedepo, Mark G. New, Steve J. Woolnough   +22 more
doaj   +1 more source

Integration of seasonal precipitation forecast information into local-level agricultural decision-making using an agent-based model to support community adaptation

Climate Risk Management, 2022
Accessibility and variability of water resources can have profound impacts on social, political, and economic security. In regions with pronounced climate variability (e.g., seasonal and inter-annual variability in precipitation), seasonal climate ...
Sarah Alexander, Paul Block
doaj   +1 more source

Better seasonal forecasts for the renewable energy industry [PDF]

, 2020
Anomalous seasons such as extremely cold winters or low-wind summers can seriously disrupt renewable energy productivity and reliability. Better seasonal forecasts providing more accurate information tailored to stakeholder needs can help the renewable ...
Orlov, Anton, Sillmann, Jana, Vigo, Ilaria, Jana Sillmann, Ilaria Vigo, Anton Orlov   +5 more
core   +1 more source

Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP [PDF]

, 2007
Most seasonal forecasts of Atlantic tropical storm numbers are produced using statistical-empirical models. However, forecasts can also be made using numerical models which encode the laws of physics, here referred to as “dynamical models”.
Huddleston, MR, Deque, M, Peake, D, A. Weisheimer, F. Vitart, M. K. Davey, Davey, MK, Ineson, S, S. Ineson, T. N. Palmer, M. R. Huddleston, D. Peake, Palmer, TN, Weisheimer, A, Vitart, F, T. N. Stockdale, Stockdale, TN, M. Déqué   +17 more
core   +1 more source

Subseasonal to Seasonal Climate Forecasts Provide the Backbone of a Near-Real-Time Event Explainer Service

, 2022
The Bureau of Meteorology serves the Australian community to reduce its climate risk and is developing a suite of tools to explain the drivers of extreme events.
Lim, Eun-Pa, Mei Zhao, Hope, Pandora, McKay, Roseanna C., Eun-Pa Lim, Tim Cowan, Roseanna C. McKay, Lynette Bettio, Zhao, Mei, Gen Tolhurst, Surendra P. Rauniyar, Bettio, Lynette, Pandora Hope, Rauniyar, Surendra P., Andrew B. Watkins, Pepler, Acacia S, Cowan, Tim, Watkins, Andrew B., Abhik, S., S. Abhik, Tolhurst, Gen, Avijeet Ramchurn, Acacia S. Pepler, Ramchurn, Avijeet   +23 more
core   +1 more source

Application of real time S2S forecasts over Eastern Africa in the co-production of climate services

Climate Services, 2022
A significant proportion of the population in Sub-Saharan Africa are vulnerable to extreme climatic conditions, hence there is a high demand for climate information.
Masilin Gudoshava, Maureen Wanzala, Elisabeth Thompson, Jasper Mwesigwa, Hussen Seid Endris, Zewdu Segele, Linda Hirons, Oliver Kipkogei, Charity Mumbua, Wawira Njoka, Marta Baraibar, Felipe de Andrade, Steve Woolnough, Zachary Atheru, Guleid Artan   +14 more
doaj   +1 more source

Valuing seasonal climate forecasts in the northern Australia beef industry [PDF]

, 2020
Seasonal climate forecasts (SCFs) provide opportunities for pastoralists to align production decisions to climatic conditions, as SCFs offer economic value by increasing certainty about future climatic states at decision-making time.
Cobon, D. H., Crean, J., Jarvis, C., Darbyshire, R., Simpson, M., Kodur, S., J. Crean, D. H. Cobon, C. Jarvis, M. Simpson, S. Kodur, R. Darbyshire   +11 more
core   +1 more source

Climate model-driven seasonal forecasting approach with deep learning

Environmental Data Science, 2023
Abstract Understanding seasonal climatic conditions is critical for better management of resources such as water, energy, and agriculture. Recently, there has been a great interest in utilizing the power of Artificial Intelligence (AI) methods in climate studies.
Alper Ünal, Busra Asan, Ismail Sezen, Vahit Bugra Yesilkaynak, Yusuf Aydin, Mehmet Ilicak, Gozde Unal   +6 more
openaire   +4 more sources

The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models [PDF]

Hydrology and Earth System Sciences, 2015
This paper investigates the skill of 90-day low-flow forecasts using two conceptual hydrological models and one data-driven model based on Artificial Neural Networks (ANNs) for the Moselle River. The three models, i.e. HBV, GR4J and ANN-Ensemble (ANN-E),
M. C. Demirel, M. J. Booij, A. Y. Hoekstra   +2 more
doaj   +1 more source

Embedding trend into seasonal temperature forecasts through statistical calibration ofGCMoutputs [PDF]

, 2021
Accurate and reliable seasonal climate forecasts are frequently sought by climate‐sensitive sectors to support decision‐making under climate variability and change.
Shao, Y, Wang, QJ, Schepen, A, Ryu, D
core   +1 more source