SCIPEA: Co-produced Seasonal Forecasts for More Effective Management of Hydropower Supply in Kenya

Authors

Richard Graham, (richard.graham@metoffice.gov.uk); Hayley Jones, Met Office; Willis Ochieng, Kenya Electricity Generating Company (KenGen); Chris Kiptum; James Muhindi, Kenya Meteorological Department (KMD)

WISER
Weather and Climate Services for Africa
KenGen
Kenya Electricity Generating Company
KMD
Kenya Meteorological Department
IGAD
Intergovernmental Authority on Development
IMTR
Institute for Meteorological Training and Research
ICPAC
IGAD Climate Prediction and Applications Centre
SDT
Service Development Team
SCIPEA
Strengthening Climate Information Partnerships-East Africa

Aim of the project

The aim of the WISER Strengthening Climate Information Partnerships – East Africa (SCIPEA) project was to strengthen national and regional resilience to seasonal climate variability by enhancing partnerships between global, regional and national climate organisations to increase access to, and use of, the best available information on seasonal prospects for East Africa; and between providers and users of seasonal forecasts to aid translation of the best forecast information into improved, co-developed services for decision-making.

Dates

2016–2019

Countries

Kenya, Tanzania, Uganda and Ethiopia (This case study focuses on Kenya)

Service Development Team meeting between the Kenya Electricity Generating Company, the Kenya Meteorological Department and the Met Office; one of several over 2016–2019 to build common ground and co-explore and co-develop a customised seasonal forecast service to assist hydropower management.

Service Development Team meeting between the Kenya Electricity Generating Company, the Kenya Meteorological Department and the Met Office; one of several over 2016–2019 to build common ground and co-explore and co-develop a customised seasonal forecast service to assist hydropower management.

Service Development Team meeting between the Kenya Electricity Generating Company, the Kenya Meteorological Department and the Met Office; one of several over 2016–2019 to build common ground and co-explore and co-develop a customised seasonal forecast service to assist hydropower management.

R. Graham, 2018

Aim of co-production

The three key aims of the co-production were as follows:

  1. For the Kenya Meteorological Department (KMD) to develop a better understanding of:
    • how seasonal predictions could assist Kenya Electricity Generating Company (KenGen) in its operational decision-making for hydropower reservoir management;
    • how forecasts are currently used; and
    • how they might be improved to better inform decisions.
  2. To assist KenGen in improving their understanding of the potential benefits and challenges of seasonal forecasting to be better equipped to fully appreciate and interpret the forecasts in decision-making.
  3. To use the new knowledge acquired to develop new, prototype prediction services that supplement the publicly available national forecast with more detailed information specific to KenGen’s requirements; to jointly trial and refine those prototypes and bring them to operational status.

Context

KenGen already made good use of KMD’s public national seasonal rainfall forecast product, which is designed to give generalised information. However, KenGen’s key needs are for specific information relating to reservoir inflow. The relationship between rainfall, reservoir levels and capacity for hydropower is complex, and the potential for new, reliable, more detailed forecasts was not obvious. Sustained co-production activities were needed to build common ground, develop mutual understanding of potential options and co-explore solutions.

Who was involved and what were their roles?

The core participants formed a Service Development Team (SDT) which comprised:

KenGen shared details of their responsibilities for predicting energy production, and the decision process this involves, focusing on hydropower, and their need for forecast information. KMD and IMTR shared detailed information on the national seasonal rainfall forecasts produced and suggested reservoir inflow and other products for trial to meet KenGen’s needs. ICPAC used lessons learnt to help build a regional information hub for fostering co-production. All partners participated in trials and reviews of the developing service. Later, KMD deputy directors joined meetings to help steer the new services to operational status. The KMD director reviewed and signed off the issued forecast bulletin. The Met Office advised on forecasting methodology and facilitated all meetings, including meeting reports and actions agreed.

What was co-produced?

The agreed aim of the co-production was to co-develop and implement an additional, operational, seasonal forecast bulletin for the October–December (short rains) season, issued annually in August and conveying forecast information specific to the needs of KenGen’s hydropower planning. The bulletin is issued by KMD as a supplement to the national forecast designed for public consumption. It includes explicit predictions of inflow into two reservoirs selected by KenGen, which are of primary importance in the hydropower network. Conventional rainfall prediction maps are also provided, with river basins overlaid to aid interpretation of implications for hydropower. The first co-produced bulletin was issued ahead of the October–December 2019 season.

How was co-production done?

Identify key actors

Ahead of project start, KMD identified KenGen as one of a number of potential partners already using climate information in their operations. Climate service development is known to be challenging, and prior selection of ‘climate-sensitised’ partners helped in making quick progress. Next, a SDT was established from personnel in KenGen and the other partners, with KMD as the SDT leader. The key output of the SDT was defined as implementation of a new co-produced climate service for KenGen, and participation in the SDT was built into formal project contracts.

Build partnerships and co-explore needs

The following introductory ‘scene setting’ activities were conducted:

Co-develop solutions

To respond to the tabulated needs identified and develop potential forecast solutions, KMD, IMTR and ICPAC undertook a one-month science ‘retreat’ at the Met Office. Solutions were later shared with KenGen, and the products to be included in a prototype bulletin were agreed. For example, it was decided that, in addition to predictions of reservoir inflow, predictions of season onset timing were also required, but that suggested predictions of rain-day frequency were not needed. The prototype, trialled and refined in 2017 and 2018, became a focus for capacity building of KenGen staff, providing the opportunity to increase understanding of the methods used, as well as helping to reduce jargon and improve the content, design and understandability.

Co-deliver solutions

To assist operational delivery, KMD senior management joined later SDT meetings. The delivery of the first operational bulletin in September 2019 was led by the KMD focal point, using guidance from a Standard Operating Procedure (SOP) document, jointly prepared by the Met Office and KMD, that describes the production procedure. The process is owned by KMD, with the final version of the bulletin signed off by the KMD director. A SOP document guiding KenGen’s use of the forecast information was also updated to refer to the new service.

Evaluate

Improvement of the bulletin, based on user evaluation and feedback, will be a continuous process and has started following the October–December 2019 bulletin. In feedback to the KMD director, the CEO of KenGen wrote:

‘The supplement guided KenGen on making the hydropower projections effectively based on the forecasted weather of above normal that translated to above normal inflows into Masinga and Turkwel, as contained in the supplement. The supplement forecast, therefore, was accurate, and our request is to extend the supplement forecast to March–May season…’

Benefits of the co-production approach

Lessons to learn from

References