Previous Page  226 / 287 Next Page
Information
Show Menu
Previous Page 226 / 287 Next Page
Page Background

[

] 227

R

isk

G

overnance

and

M

anagement

The number of reporting stations in key agricultural

areas, instrumentation standards and maintenance,

data collection and processing methods, data standards

and quality control procedures, and human resources

are all factors relating to input requirements. Thus, the

creation of the two centres was supplemented by the

installation of a number of automatic weather stations

providing real-time data. Also an expert team has been

trained for the development of agro-meteorological

models, tools and products.

The service involves converting input data into infor-

mation that can be packaged for delivery in a form that

adds value to an existing knowledge base. Additional tools

– such as geographic information systems technology,

mathematical models, and remotely-sensed observations

– provide resource enhancements that can convey value-

added information for the decision-making process.

The agro-meteorological information produced

includes:

• Observation data

• General forecast bulletins

• Daily bulletins on the impact of extreme events on

agricultural production

• Daily responses to farmer requests

• Warning bulletin.

Seasonal forecasting system

DMN has explored both statistical and dynamical

approaches to making seasonal predictions of precipi-

tation in Morocco. This has been enacted through two

major projects – Al Moubarak (based on statistical

models) and El Masifa (based on both dynamical and

statistical models).

The main objective of such long-range prediction is

to implement a procedure that generates information

that end-users consider helpful in decision-making.

towns and cities which, in turn, can lead to serious health problems.

For example, air pollution is increasingly cited as the main cause

of lung conditions such as asthma – compared with 20 years ago,

twice as many people suffer from asthma today.

To help control the evolution of the air quality in Morocco, DMN

has installed 21 stations for measuring air quality, a mobile labora-

tory and three pollen grains sensors. Furthermore, in Casablanca,

Fes and Marrakech it has installed two stratospheric ozone sensors

and two stations for measuring atmospheric pollution.

Agriculture

As a direct result of establishing a dialogue with users, DMN

has created two agro-meteorological centres in Beni Mellal and

Taroudant, and developed a tool to aid decision making in the agri-

culture domain. The purpose of this application is to make users

aware of the potential benefits that farmers can gain from improv-

ing efficiency and ensuring the sustainability of farm management.

Farmers should aim to protect and ensure the continuing health of

crops, livestock, and the environment to increase their yield and the

market value of their crops, as well as to solve operational problems.

A communication mechanism has been established to explain the

purpose of the agro-meteorological centres. Flyers were produced in

Arabic (the most widely understood language in Morocco) detailing

basic information about the centres – covering their objectives, tools

(computing facilities, information systems, observation instruments),

products, dissemination techniques and policies on user interaction.

The primary objective of the centres is to provide farmers with

information (observations, model outputs) that enables them to

improve the efficiency of various agricultural practices.

The information should also enable farmers to limit and reduce

the adverse impacts of extreme climate events on agricultural

production.

Input requirements

Input requirements refer to the quantity, quality and timeliness of

data that are available for the preparation of observational products.

Timely collection of climate data today is vital for accurate seasonal forecasts tomorrow

Climate forecasters must engage openly with all sectors of society to

increase the effective use of seasonal forecasts

Image: DMN

Image: DMN