scholarly journals Best of both worlds : Co-producing climate services that integrate scientific and indigenous weather and seasonal climate forecast for water management and food production in Ghana

2020 ◽  
Author(s):  
Emmanuel Nyadzi
Keyword(s):  
Water Management ◽  
Food Production ◽  
Climate Forecast ◽  
Seasonal Climate Forecast ◽  
Climate Services ◽  
Seasonal Climate

scholarly journals Seasonal climate forecast can inform the European agricultural sector well in advance of harvesting

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Andrej Ceglar ◽  
Andrea Toreti
Keyword(s):  
Winter Wheat ◽  
Large Scale ◽  
Management Practices ◽  
Agricultural Sector ◽  
Grain Filling ◽  
Growing Season ◽  
Climate Forecast ◽  
Seasonal Climate Forecast ◽  
Climate Services ◽  
Seasonal Climate

AbstractSeasonal climate forecasts are a key component of sectoral climate services. Skill and reliability in predicting agro-climate indicators, co-designed with and for European wheat farmers, are here assessed. The main findings show how seasonal climate forecast provides useful information for decision-making processes in the European winter wheat-producing sector. Flowering time can be reliably predicted already at the beginning of the growing season in central and eastern Europe, thus supporting effective variety selection and timely planning of agro-management practices. The predictability of climate events relevant for winter wheat production is strongly dependent on the forecast initialization time as well as the nature of the event being predicted. Overall, regionally skillful and reliable predictions of drought events during the sensitive periods of wheat flowering and grain filling can be made already at the end of winter. On the contrary, predicting excessive wetness seems to be very challenging as no or very limited skill is estimated during the entire wheat growing season. Other approaches, e.g., linked to the use of large-scale atmospheric patterns, should be identified to enhance the predictability of those harmful events.

scholarly journals Systematic global evaluation of accuracy of seasonal climateforecasts for monthly precipitation of JMA/MRI-CPS2 bycomparing with a statistical system using climate indices

2021 ◽  
Author(s):  
Yuji Masutomi ◽  
Toshichika Iizumi ◽  
Key Oyoshi ◽  
Nobuyuki Kayaba ◽  
Wonsik Kim ◽  
...  
Keyword(s):  
Japan Meteorological Agency ◽  
Climate Indices ◽  
Global Evaluation ◽  
Monthly Precipitation ◽  
Climate Forecast ◽  
Statistical System ◽  
Slow Dynamics ◽  
Seasonal Climate Forecast ◽  
Seasonal Climate

Abstract. In this study, we aimed to evaluate the monthly precipitation forecasts of JMA/MRI-CPS2, a global dynamical seasonal climate forecast (Dyn-SCF) system operated in the Japan Meteorological Agency, by comparing them with the forecasts of a statistical SCF (St-SCF) system using climate indices systematically and globally. Accordingly, we developed a new global St-SCF system using 18 climate indices and compared the monthly precipitation of this system with those of JMA/MRI-CPS2. Consequently, it was found that JMA/MRI-CPS2 forecasts are superior to St-SCFs around the equator (10° S–10° N) even for six-month lead forecasts. For one-month lead forecasts, the accuracy of JMA/MRI-CPS2 forecasts was higher than that of St-SCFs when viewed globally. In contrast, for forecasts made two months or longer in advance, St-SCFs had an advantage in global forecasts. In addition to evaluating the accuracy of JMA/MRI-CPS2 forecasts, the slow dynamics of the ocean and atmosphere, not reproduced by the JMA/MRI-CPS2 system, were determined by comparing the evaluations, and it was concluded that this could contribute to improving Dyn-SCF systems.

scholarly journals Enabling Conditions for Improved Use of Seasonal Climate Forecast in Arid and Semi-Arid Baringo County—Kenya

OALib ◽  
2017 ◽  
Vol 04 (08) ◽  
pp. 1-15 ◽  
Author(s):  
Richard Ochieng ◽  
Charles Recha ◽  
Bockline Omedo Bebe
Keyword(s):  
Climate Forecast ◽  
Seasonal Climate Forecast ◽  
Seasonal Climate ◽  
Semi Arid
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