Posted by Sade Williams
The Nigerian Meteorological Agency, NiMet , has at a one-day Seasonal Climate Prediction (SCP) Workshop in Abuja, enlightened stakeholders on SCP as a prelude to the public presentation of the 2022 SCP.
The workshop is primarily to educate stakeholders on the need to join hands with the agency for effective utilization of the SCP and to tap from their wealth of knowledge.
Director General, NiMet, Prof Mansur Matazu in his keynote address said, the objective of the partnership with the stakeholders is to engage them on their role in the co-production of the SCP for effective understanding and efficient utilization of the products.
According to him, the practice has been promoted by NiMet and the World Meteorological Organisation( WMO).
“The objective of these partnerships is to engage with you on your roles in the co production of the SCP for effective understanding and efficient utilitarian of the products”.
The NiMet helmsman expressed the hope that for 2022, NiMet expects further improvement in the content of the SCP through the presence of the various stakeholders, drawing from their wealth of experience to deliver a product that is of high quality, user oriented, impact based and reliable across the various socioeconomic sectors.
He added that, for NiMet to ensure the SCP, the SCP Updates, and the SCP Downscaled versions and several other products and services from the Agency reach the required users, and achieve desired impacts, NiMet relied on collaborators.
Speaking earlier in his address of welcome, the SCP coordinator, and General Manager AGROMET, Mr Haruna Zakari said, the aim of the Workshop is to present the 2022 draft forecast to the stakeholders from various sectors of the economy for their critical contribution.
In additional to debate on the socioeconomic implications of the SCP for informed decision making in Agriculture, Health, Construction, Defence, Oil & Gas, Disaster Risk Reduction & Management, Education, Marine and Maritime.amng others.
Every year NiMet presents the Seasonal Climate Prediction to guide activities in various sectors of the economy.