NiMet sets to release 2022 SCP

The Nigerian Meteorological Agency, (NIMET) has concluded plans to release its 2022 Seasonal Climate Prediction, (SCP).

At a one day Workshop in Abuja to enlighten stakeholders on SCP as a prelude to the public presentation of the 2022 SCP, stakeholders were reminded of 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 in their role in the co-production of the SCP for effective understanding and efficient utilitarian 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 boss 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 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 Workshop aims to present the 2022 draft forecast to the stakeholders from various sectors of the economy for their critical contribution.

In addition to the 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, among others. Every year NiMet presents the Seasonal Climate Prediction to guide activities in various sectors of the economy.