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	<title>Integrated Projects Archives - climateservices.it CNR-IBE</title>
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	<title>Integrated Projects Archives - climateservices.it CNR-IBE</title>
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		<title>Flood Risk Knowledge</title>
		<link>https://climateservices.it/progetto/flood-risk-knowledge/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Wed, 22 Jul 2026 16:09:40 +0000</pubDate>
				<guid isPermaLink="false">https://climateservices.it/?post_type=progetto&#038;p=16369</guid>

					<description><![CDATA[<p>SLAPIS SAHELProject From flood mapping to informed action An effective Early Warning System must do more than forecast rising water levels. It must also identify what may be affected, where the most serious impacts may occur and which actions should be taken. Within SLAPIS Sahel, flood risk assesment is developed for the Sirba River basin [&#8230;]</p>
<p>The post <a href="https://climateservices.it/progetto/flood-risk-knowledge/">Flood Risk Knowledge</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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					<h1 class="elementor-heading-title elementor-size-default"><span>SLAPIS </span></b>SAHEL<br>Project</h1>				</div>
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					<h1 class="elementor-heading-title elementor-size-default">From flood mapping to informed action</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="393" data-end="598">An effective Early Warning System must do more than forecast rising water levels. It must also identify <strong data-start="497" data-end="597">what may be affected, where the most serious impacts may occur and which actions should be taken</strong>.</p><p data-start="600" data-end="916">Within SLAPIS Sahel, flood risk assesment is developed for the <strong data-start="663" data-end="753">Sirba River basin and the Niger River between the Sirba confluence and Niamey</strong>. This area includes rural settlements, river islands, irrigated fields, horticultural sites, roads, wells and other infrastructure that support local livelihoods. The aim is to transform scientific and local knowledge into practical information for preparedness, impact-based warning and risk reduction planning.</p>								</div>
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					<h1 class="elementor-heading-title elementor-size-default">Understanding the different sources of flood risk</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="1119" data-end="1179">The project area is affected by different types of flooding. During the rainy season, rainfall over the Sirba basin and other Sahelian tributaries contributes to the <strong>local flood</strong> of the Niger River. Later in the year, water arriving from the upper Niger basin generates the slower and longer-lasting <strong>Guinean flood</strong>. Moreover, intense rainfall can produce flash floods (<strong>pluvial floods</strong>). These floods produce different impacts. Local floods may rise quickly, while Guinean flood can keep fields and settlements inundated for several weeks. Flood duration can therefore be as important as maximum water level, especially for crops and adobe buildings.</p>								</div>
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					<h1 class="elementor-heading-title elementor-size-default">Combining science, field evidence and local knowledge</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="1839" data-end="1877">Flood risk assessments bring together:</p><ul data-start="1879" data-end="2124"><li data-section-id="k0mrnk" data-start="1879" data-end="1913">river discharge and rainfall observations;</li><li data-section-id="1jo11hh" data-start="1914" data-end="1936">hydraulic modelling;</li><li data-section-id="1tifuo4" data-start="1937" data-end="1957">satellite imagery and digitale elevation models;</li><li data-section-id="41tbfi" data-start="1958" data-end="2016">detailed mapping of buildings, crops and infrastructure;</li><li data-section-id="gryzq1" data-start="2017" data-end="2055">field surveys and ground validation;</li><li data-section-id="1qve2jr" data-start="2056" data-end="2124">knowledge from communities, municipalities and technical services.</li></ul><p data-start="2126" data-end="2349">This approach improves the accuracy of flood maps and helps identify features that conventional datasets often overlook, such as traditional rice fields, horticultural areas, adobe houses, wells and small rural settlements. Local actors also help explain how floods actually occur, where embankments fail, how long water remains and which activities suffer the greatest damage.</p>								</div>
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					<h1 class="elementor-heading-title elementor-size-default">Mapping FLOOD PRONE AREAS</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="258" data-end="378">Flood-prone areas are identified by combining hydrological observations, hydraulic modelling and Earth observation data.</p><p data-start="380" data-end="953">Historical river discharge records are first analysed to estimate floods with different probabilities of occurrence. These flood scenarios are then simulated using the two-dimensional hydraulic model <strong data-start="580" data-end="605">BASEMENT (ETH Zurich)</strong>, which reproduces how water propagates across the river corridor under different flow conditions. The simulations are based on Digital Elevation Models (DEMs) derived from satellite missions, complemented by information on river geometry and land surface characteristics.</p><p data-start="955" data-end="1447">The resulting flood extent and water depth maps are validated against observed flood footprints extracted from Sentinel-2 satellite imagery and field observations, ensuring that the simulated inundation areas closely represent real flood events. These hazard maps provide the scientific basis for identifying exposed assets, assessing flood impacts and developing Flood Risk Scenarios for impact-based early warning.</p>								</div>
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					<h1 class="elementor-heading-title elementor-size-default">Mapping exposure and expected impacts</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="2553" data-end="2689">SLAPIS Sahel does not stop at identifying flooded areas. It maps the assets located within them and estimates the <strong>potential damages</strong>. The assessments consider:</p><ul data-start="2718" data-end="2940"><li data-section-id="1om298q" data-start="2718" data-end="2757">settlements and individual buildings;</li><li data-section-id="1ayxu3l" data-start="2758" data-end="2798">irrigated and traditional agriculture;</li><li data-section-id="1rhfp7j" data-start="2799" data-end="2835">critical infrastructures such as wells, boreholes and public infrastructure;</li><li data-section-id="1exd42e" data-start="2894" data-end="2940">seasonal changes in land use and crop value.</li></ul><p data-start="2942" data-end="3264">The 2024–2025 floods showed that large areas of cultivated land were affected and that traditional rice and horticulture were among the most exposed activities. The studies also confirmed that prolonged flooding can cause severe losses even when peak water levels are not exceptional.</p>								</div>
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					<h1 class="elementor-heading-title elementor-size-default">From risk knowledge to Flood Risk Scenarios</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="383" data-end="486">Flood risk assessment becomes truly operational when it is translated into <strong data-start="461" data-end="485">Flood Risk Scenarios</strong>.</p><p data-start="488" data-end="848">A Flood Risk Scenario combines information on the expected flood hazard with detailed knowledge of exposed items and their vulnerability. Rather than simply describing where water may reach, it anticipates <strong data-start="724" data-end="752">what is likely to happen</strong> under different flood conditions and identifies the corresponding impacts.</p><p data-start="850" data-end="1288">Within SLAPIS Sahel, flood risk scenarios provide the operational link between <strong data-start="929" data-end="950">hazard monitoring</strong> and <strong data-start="955" data-end="985">impact-based early warning</strong>. As forecasts and river observations indicate the evolution of a flood event, the corresponding scenario helps emergency managers anticipate the expected consequences, identify the most exposed areas and communicate targeted warning messages together with appropriate preparedness and response actions. In this way, scientific forecasts are transformed into actionable information that supports timely decision-making by institutions, emergency services and communities. Toutes les informations produites sont accessibles à travers la <a href="http://slapis-sahel.it">Plateforme SLAPIS Sahel</a> et le <a href="https://catalog.ibe.cnr.it/group/slapis_prj">catalogue de données ouverts</a>.</p>								</div>
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					<h1 class="elementor-heading-title elementor-size-default">Supporting prevention and local planning</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="4037" data-end="4121">Flood risk information is also used to identify appropriate <strong>risk-reduction measures</strong>. Depending on water depth, duration and local conditions, these may include:</p><ul data-start="4200" data-end="4544"><li data-section-id="2fwwuo" data-start="4200" data-end="4256">municipal contingency plans and evacuation procedures;</li><li data-section-id="rx4uh9" data-start="4257" data-end="4302">flood-zone marking and land-use regulation;</li><li data-section-id="xvixya" data-start="4303" data-end="4337">temporary barriers and sandbags;</li><li data-section-id="1e6fp88" data-start="4338" data-end="4397">protection or raising of wells and sanitation facilities;</li><li data-section-id="1oxjh00" data-start="4398" data-end="4420">settlement barriers;</li><li data-section-id="14ps487" data-start="4421" data-end="4495">relocation of horticulture or future settlement expansion to safer land;</li><li data-section-id="1iq6u32" data-start="4496" data-end="4544">resettlement where protection is not feasible.</li></ul><p data-start="4546" data-end="4723">The measures are discussed with local stakeholders and assessed according to feasibility, cost, maintenance needs and community acceptance.</p>								</div>
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		<p>The post <a href="https://climateservices.it/progetto/flood-risk-knowledge/">Flood Risk Knowledge</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>Co-producing a Transboundary Flood Early Warning System</title>
		<link>https://climateservices.it/progetto/co-producing-a-transboundary-flood-early-warning-system-in-the-sirba-river-basin/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Tue, 21 Jul 2026 15:58:40 +0000</pubDate>
				<guid isPermaLink="false">https://climateservices.it/?post_type=progetto&#038;p=16283</guid>

					<description><![CDATA[<p>SLAPIS SAHEL Project Working together across borders to protect communities at risk Floods do not stop at national borders. Along the Sirba River, which flows from Burkina Faso into Niger before joining the Niger River, flood waves generated upstream can threaten downstream communities hundreds of kilometres away. Effective flood early warning therefore requires not only [&#8230;]</p>
<p>The post <a href="https://climateservices.it/progetto/co-producing-a-transboundary-flood-early-warning-system-in-the-sirba-river-basin/">Co-producing a Transboundary Flood Early Warning System</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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					<h1 class="elementor-heading-title elementor-size-default"><span>SLAPIS </span></b>SAHEL<br>Project</h1>				</div>
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					<h1 class="elementor-heading-title elementor-size-default">Working together across borders to protect communities at risk</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="730" data-end="1195">Floods do not stop at national borders. Along the Sirba River, which flows from Burkina Faso into Niger before joining the Niger River, flood waves generated upstream can threaten downstream communities hundreds of kilometres away. Effective flood early warning therefore requires not only accurate forecasts, but also close cooperation between the institutions responsible for monitoring, forecasting, emergency management and risk communication in both countries. SLAPIS Sahel was created to address this challenge by extending the successful <strong data-start="1276" data-end="1292">SLAPIS Niger</strong> experience to the entire transboundary Sirba River basin. Rather than simply transferring technologies, the project promotes the <strong data-start="1422" data-end="1439">co-production</strong> of climate services, ensuring that all institutions involved jointly contribute to the design, implementation and continuous improvement of the flood early warning system.</p>								</div>
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					<h1 class="elementor-heading-title elementor-size-default">What does co-production mean?</h1>				</div>
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									<p data-start="1652" data-end="1831">Co-production is a <strong>collaborative approach</strong> in which scientists, technical services, public authorities and local stakeholders work together throughout the development of a service. Instead of designing an early warning system first and asking institutions to adopt it afterwards, SLAPIS Sahel develops the system jointly with institutions and users. This ensures that forecasts, warning procedures and communication tools respond to real operational needs while remaining compatible with national institutional responsibilities.</p>								</div>
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					<h1 class="elementor-heading-title elementor-size-default">From a national to a transboundary system</h1>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="2241" data-end="2381">SLAPIS Sahel builds on more than ten years of experience gained through the implementation of the local flood early warning system in Niger. The <strong>transboundary expansion</strong> required much more than extending the geographical coverage of the system. It involved creating new forms of collaboration between Burkina Faso and Niger, aligning operational procedures while respecting national mandates, strengthening technical capacities and establishing permanent mechanisms for cooperation between homologous institutions.</p>								</div>
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									<h3 class="PDq2pG_selectionAnchorContainer" data-section-id="1s5gpp1" data-start="2934" data-end="2976">Developing institutional partnerships</h3><p data-start="2978" data-end="3199">Meteorological Services, Hydrological Services, Civil Protection authorities, local governments and technical partners from both countries work together through formal collaboration agreements and designated focal points.</p>								</div>
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									<h3 class="PDq2pG_selectionAnchorContainer" data-section-id="qua1nt" data-start="3201" data-end="3230">Building common ground</h3><p class="" data-start="3232" data-end="3397">Joint workshops allow institutions to develop a common understanding of flood risk, harmonize terminology and jointly define methodologies for flood risk assessment.</p><p data-start="3232" data-end="3397"><a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F2_022024_Ouaga.pdf">Ouagadougou workshop</a></p><p data-start="3232" data-end="3397"><a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F4_102024_Niamey.pdf">Niamey workshop</a></p>								</div>
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									<h3 class="PDq2pG_selectionAnchorContainer" data-section-id="d2drhb" data-start="3399" data-end="3432">Joint identification of  needs</h3><p data-start="3434" data-end="3633">Rather than assuming common needs, institutions jointly analyse their operational responsibilities, identify technical gaps and define priorities for strengthening forecasting and warning capacities.</p>								</div>
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									<h3 class="PDq2pG_selectionAnchorContainer" data-section-id="1bqflzu" data-start="3635" data-end="3665">Co-developing solutions</h3><p data-start="3667" data-end="3967">Risk assesment, forecasting tools, operational procedures, communication products and technical capacities are developed collaboratively. Particular emphasis is placed on South–South capacity building, enabling expertise developed within one National Meteorological Service to be transferred directly to another.</p>								</div>
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									<h3 class="PDq2pG_selectionAnchorContainer" data-section-id="eqwrpg" data-start="3969" data-end="3998">Co-delivering warnings</h3><p data-start="4000" data-end="4278">Instead of imposing identical procedures in both countries, SLAPIS Sahel promotes interoperability. Each country maintains its own institutional warning chain while ensuring that forecasts, information and operational products can be exchanged efficiently across the border.</p><p data-start="4000" data-end="4278"><a href="https://climateservices.it/wp-content/uploads/2025/04/SLAPIS-Plan-Communication-NER-v.2.pdf">Niger communication plan</a></p><p data-start="4000" data-end="4278"><a href="https://drive.google.com/file/d/1geNyOKWJRyFWJrU10Hv-7NYXS6UVKGqa/view?usp=sharing">Burkina communication plan</a></p>								</div>
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									<h3 class="PDq2pG_selectionAnchorContainer" data-section-id="apanun" data-start="4280" data-end="4309">Learning and improving</h3><p data-start="4311" data-end="4515">The system is continuously reviewed through Monitoring, Evaluation and Learning (MEL), allowing partners to improve procedures, strengthen collaboration and progressively increase institutional ownership.</p>								</div>
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					<h2 class="elementor-heading-title elementor-size-default">A practical approach to transboundary cooperation</h2>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="4576" data-end="4735">One of the main lessons emerging from SLAPIS Sahel is that successful transboundary cooperation does not require complete harmonization of national procedures.</p><p data-start="4737" data-end="4955">Instead, the project promotes <strong data-start="4767" data-end="4787">interoperability</strong>: allowing institutions with different mandates, procedures and organizational structures to work effectively together while preserving their national responsibilities.</p><p data-start="4957" data-end="5124">This pragmatic approach makes cooperation more feasible and more sustainable, particularly in regions where institutional contexts differ significantly across borders.</p>								</div>
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					<h2 class="elementor-heading-title elementor-size-default">Strengthening institutions beyond the project</h2>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="5181" data-end="5300">Co-production generates benefits that extend beyond the technical performance of the flood early warning system itself. Through repeated joint activities, operational exchanges and shared problem-solving, SLAPIS Sahel contributes to:</p><ul data-start="5417" data-end="5711"><li data-section-id="zjskc2" data-start="5417" data-end="5470">strengthening long-term institutional partnerships;</li><li data-section-id="16krq2d" data-start="5471" data-end="5523">developing <strong>communities of practice</strong> across borders;</li><li data-section-id="1e1gupe" data-start="5524" data-end="5567">promoting South–South knowledge exchange;</li><li data-section-id="poohyt" data-start="5568" data-end="5641">increasing institutional ownership of forecasting and warning services;</li><li data-section-id="16dgxek" data-start="5642" data-end="5711">creating conditions for the long-term sustainability of the system.</li></ul>								</div>
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					<h2 class="elementor-heading-title elementor-size-default">Towards Early Warnings for All</h2>				</div>
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									<p class="PDq2pG_selectionAnchorContainer" data-start="5753" data-end="5963">By combining scientific forecasting, institutional cooperation and community engagement, SLAPIS Sahel contributes directly to the objectives of the <strong data-start="5901" data-end="5951">United Nations Early Warnings for All (EW4All)</strong> initiative.</p><p data-start="5965" data-end="6245">The experience gained in the Sirba River basin demonstrates how co-production can support the operational development of flood early warning systems in shared river basins and provides practical lessons that may be adapted to other transboundary contexts across Africa and beyond.</p>								</div>
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		<p>The post <a href="https://climateservices.it/progetto/co-producing-a-transboundary-flood-early-warning-system-in-the-sirba-river-basin/">Co-producing a Transboundary Flood Early Warning System</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>The contribution of fine-grained exposure data to flood risk assessment along the Niger River</title>
		<link>https://climateservices.it/publication/the-contribution-of-fine-grained-exposure-data-to-flood-risk-assessment-along-the-niger-river/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Tue, 21 Jul 2026 14:15:02 +0000</pubDate>
				<guid isPermaLink="false">https://climateservices.it/?post_type=publication&#038;p=16279</guid>

					<description><![CDATA[<p>The establishment of the Sendai Framework for Disaster Risk Reduction 2015‒2030 prompted local governments to prepare flood risk assessments. However, within the rural contexts of low- and middle-income countries, such tools do not account for the details necessary for risk management. Limited data availability is the most frequently reported reason for such deficiencies. Moreover, flood [&#8230;]</p>
<p>The post <a href="https://climateservices.it/publication/the-contribution-of-fine-grained-exposure-data-to-flood-risk-assessment-along-the-niger-river/">The contribution of fine-grained exposure data to flood risk assessment along the Niger River</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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										<content:encoded><![CDATA[<p>The establishment of the Sendai Framework for Disaster Risk Reduction 2015‒2030 prompted local governments to prepare flood risk assessments. However, within the rural contexts of low- and middle-income countries, such tools do not account for the details necessary for risk management. Limited data availability is the most frequently reported reason for such deficiencies. Moreover, flood exposure is particularly uncertain. This study aimed to overcome this obstacle through the use of fine-grained open-access information, local datasets, and ground truth data. Its novelty is the identification of flood-prone assets and the formulation of risk reduction measures. This approach was applied to a 58-km section of the Niger River upstream of Niamey. Notably, risk is considered the product of hazard and damage, expressed in monetary terms. On the basis of five hazard scenarios, hydraulic modelling was employed to determine the floodplain, which was then validated against Sentinel-2 satellite images. Buildings and crops were identified through visual interpretation of Google Earth satellite images and verified on the ground. Wells were located according to statistics from the Ministry of Hydraulics and Sanitation. The potential damage resulting from a flood with a 10-year return period was partitioned, with 57% attributed to crops and 43% to buildings. Horticulture alone accounted for 43% of the total damage. Half of the damage to buildings is concentrated in 13 settlements. Nine structural measures are recommended on the basis of the expected inundation depth.</p>
<p>The post <a href="https://climateservices.it/publication/the-contribution-of-fine-grained-exposure-data-to-flood-risk-assessment-along-the-niger-river/">The contribution of fine-grained exposure data to flood risk assessment along the Niger River</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>Linking Earth Observation and Precipitation In-Situ Data in the Sirba River Basin in West Africa</title>
		<link>https://climateservices.it/publication/linking-earth-observation-and-precipitation-in-situ-data-in-the-sirba-river-basin-in-west-africa/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Tue, 30 Jun 2026 09:50:54 +0000</pubDate>
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					<description><![CDATA[<p>Floods have caused substantial loss of life and economic damages in West Africa, with a marked increase of extremes over the past decades. These flood events are largely driven by frequent extreme local rainfall. The sparse meteorological stations in Burkina Faso contain data gaps that limit effective monitoring of rainfall. This study fills the gap [&#8230;]</p>
<p>The post <a href="https://climateservices.it/publication/linking-earth-observation-and-precipitation-in-situ-data-in-the-sirba-river-basin-in-west-africa/">Linking Earth Observation and Precipitation In-Situ Data in the Sirba River Basin in West Africa</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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										<content:encoded><![CDATA[<p>Floods have caused substantial loss of life and economic damages in West Africa, with a marked increase of extremes over the past decades. These flood events are largely driven by frequent extreme local rainfall. The sparse meteorological stations in Burkina Faso contain data gaps that limit effective monitoring of rainfall. This study fills the gap by integrating satellite data with in-situ precipitation measurements. This study assesses spatio-temporal correlations between cloud coverage and reservoir surface water areas extracted from Sentinel-2 to in-situ rainfall historical data complemented with spatially explicit gridded meteorological products, including ERA5 and CHIRPS. In-situ precipitation shows a strong correlation with cloud coverage (Mean r = 0.65), better agreements with ERA5 (r = 0.83) and CHIRPS (r = 0.91), and a timelagged correlation with surface water areas. A developed open-access app (Abraiz, 2026) provides insights for realtime dynamics of the cloud coverage, precipitation, and surface water area of reservoirs in the Sirba River basin with potential applicability in other data-scarce regions.</p>
<p>The post <a href="https://climateservices.it/publication/linking-earth-observation-and-precipitation-in-situ-data-in-the-sirba-river-basin-in-west-africa/">Linking Earth Observation and Precipitation In-Situ Data in the Sirba River Basin in West Africa</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>A streamlined flood-specific evaluation framework: Assessing African riverine early warning systems</title>
		<link>https://climateservices.it/publication/a-streamlined-flood-specific-evaluation-framework-assessing-african-riverine-early-warning-systems/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Fri, 26 Jun 2026 08:38:28 +0000</pubDate>
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					<description><![CDATA[<p>Intense hydrological events are rising across Africa, increasing flood risks. Flood Early Warning Systems (FEWS) are internationally acknowledged as fundamental tools for risk reduction and management. Their effectiveness depends on the integrated and balanced development of all essential components -risk knowledge, monitoring and forecasting, dissemination and communication, preparedness and response-yet their integration across operational systems [&#8230;]</p>
<p>The post <a href="https://climateservices.it/publication/a-streamlined-flood-specific-evaluation-framework-assessing-african-riverine-early-warning-systems/">A streamlined flood-specific evaluation framework: Assessing African riverine early warning systems</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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										<content:encoded><![CDATA[<div id="abspara0010" class="u-margin-s-bottom">Intense hydrological events are rising across Africa, increasing flood risks. Flood Early Warning Systems (FEWS) are internationally acknowledged as fundamental tools for risk reduction and management. Their effectiveness depends on the integrated and balanced development of all essential components -risk knowledge, monitoring and forecasting, dissemination and communication, preparedness and response-yet their integration across operational systems is poorly documented.</div>
<div id="abspara0015" class="u-margin-s-bottom">This study develops a flood-specific evaluation framework adapted from the UNDRR-WMO Multi-Hazard Early Warning System Custom Indicators (MHEWS-CI), reducing its 53 indicators to 25 through thematic consolidation and flood-specific adaptation. The framework is applied to assess 19 African riverine FEWS using publicly available documentation, as a proof-of-concept. Each indicator is assessed through a recognition-based approach: documented system functionalities are matched against three predefined development stages (absent, basic, advanced), lightning the reporting burden of MHEWS-CI. Scores are compared to illustrate relationships between system characteristics and development of components.</div>
<div id="abspara0020" class="u-margin-s-bottom">Results reveal imbalances: 74% of systems demonstrate advanced monitoring and forecasting, but only 5% achieve advanced response capabilities. Web architectures and hydrological models favour monitoring and forecasting but show no corresponding advantage in response integration. Hybrid systems combining model forecasting with community engagement achieve the highest overall scores, suggesting that optimal development requires balancing technical sophistication with a participatory approach.</div>
<div id="abspara0025" class="u-margin-s-bottom">These patterns may reflect institutional factors -governance fragmentation and insufficient operational integration-rather than causal effects of system characteristics. The framework delivers a streamlined, replicable instrument for insightful FEWS assessment, successfully corroborating prior research and supporting evidence-based identification of operational gaps and investment prioritisation.</div>
<p>The post <a href="https://climateservices.it/publication/a-streamlined-flood-specific-evaluation-framework-assessing-african-riverine-early-warning-systems/">A streamlined flood-specific evaluation framework: Assessing African riverine early warning systems</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>Competences co-development</title>
		<link>https://climateservices.it/progetto/slapis-sahel-training-in-numerical-weather-prediction/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Thu, 11 Jun 2026 10:23:39 +0000</pubDate>
				<guid isPermaLink="false">https://climateservices.it/?post_type=progetto&#038;p=16185</guid>

					<description><![CDATA[<p>SLAPIS SAHEL PROJECT Building operational forecasting capacity through long-term institutional collaboration Early warning systems are based on weather forecasts, numerical models, data platforms and technological innovation. Yet experience shows that technology alone is not enough. The effectiveness and sustainability of early warning services ultimately depend on the ability of institutions to operate, assess, adapt and [&#8230;]</p>
<p>The post <a href="https://climateservices.it/progetto/slapis-sahel-training-in-numerical-weather-prediction/">Competences co-development</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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					<h2 class="elementor-heading-title elementor-size-default">SLAPIS SAHEL PROJECT</h2>				</div>
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									<p><img loading="lazy" decoding="async" class="wp-image-16186 aligncenter" src="https://climateservices.it/wp-content/uploads/2026/06/Visual-abstract-300x200.png" alt="" width="794" height="530" srcset="https://climateservices.it/wp-content/uploads/2026/06/Visual-abstract-300x200.png 300w, https://climateservices.it/wp-content/uploads/2026/06/Visual-abstract-1024x683.png 1024w, https://climateservices.it/wp-content/uploads/2026/06/Visual-abstract-768x512.png 768w, https://climateservices.it/wp-content/uploads/2026/06/Visual-abstract.png 1536w" sizes="(max-width: 794px) 100vw, 794px" /></p>								</div>
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									<h2>Building operational forecasting capacity through long-term institutional collaboration</h2><p class="isSelectedEnd">Early warning systems are based on weather forecasts, numerical models, data platforms and technological innovation. Yet experience shows that technology alone is not enough. The effectiveness and sustainability of early warning services ultimately depend on the ability of institutions to operate, assess, adapt and maintain forecasting systems within their daily activities.</p><p class="isSelectedEnd">Recognising this challenge, the SLAPIS Sahel initiative promoted an innovative capacity-development pathway involving the Direction Nationale de la Météorologie (DNM) of Niger, the Agence Nationale de la Météorologie (ANAM) of Burkina Faso, the <a href="https://www.lamma.toscana.it/">Tuscany Regional Meteorological Service (LaMMA)</a>, the Institute for BioEconomy of the Italian National Research Council (IBE-CNR), and the <a href="https://climateservices.it/rtc-italy/">WMO Regional Training Centre in Italy</a>.</p><p class="isSelectedEnd">The objective was not simply to transfer technical knowledge, but to strengthen operational competence through a process of co-production. Building on more than a decade of collaboration between the institutions involved, forecasting experts, modelers, IT specialists, managers and trainers worked together to identify operational needs, define priorities, develop solutions and progressively integrate them into institutional workflows. The process started long before the training activities themselves, through continuous dialogue and joint reflection on how to strengthen forecasting capabilities in support of flood early warning services.</p><p class="isSelectedEnd">A cornerstone of the experience was the long-term embedding of African modelers within the operational forecasting team of LaMMA. Rather than attending isolated training courses, trainees became part of a real operational environment where they participated in the installation, configuration, operation, verification and interpretation of numerical weather prediction systems. Working side-by-side with forecasters and model developers enabled learning to be directly connected to real operational challenges and decision-making processes.</p><p class="isSelectedEnd">The approach combined on-the-job learning, training-of-trainers activities, routine forecast verification and continuous interaction between teams in Niger, Burkina Faso and Italy. Through this process, participants progressively acquired greater autonomy in managing forecasting systems, while institutions strengthened their capacity to maintain, evaluate and further develop operational services.</p><p class="isSelectedEnd">An important outcome of the initiative was the strengthening and institutionalisation of long-term partnerships. During the project, LaMMA signed cooperation agreements with both DNM Niger and ANAM Burkina Faso, providing a framework for continued technical collaboration, staff exchanges, joint innovation activities and mutual support in the development of forecasting and early warning services. These agreements represent a concrete step towards ensuring that capacity development extends beyond the duration of individual projects.<img loading="lazy" decoding="async" class=" wp-image-16191 alignright" src="https://climateservices.it/wp-content/uploads/2026/06/20251104_112546-300x225.jpg" alt="" width="249" height="187" srcset="https://climateservices.it/wp-content/uploads/2026/06/20251104_112546-300x225.jpg 300w, https://climateservices.it/wp-content/uploads/2026/06/20251104_112546-1024x768.jpg 1024w, https://climateservices.it/wp-content/uploads/2026/06/20251104_112546-768x576.jpg 768w, https://climateservices.it/wp-content/uploads/2026/06/20251104_112546-1536x1152.jpg 1536w, https://climateservices.it/wp-content/uploads/2026/06/20251104_112546-2048x1536.jpg 2048w" sizes="(max-width: 249px) 100vw, 249px" /></p><p class="isSelectedEnd">Beyond the technical achievements, the experience fostered trust, peer-to-peer collaboration and the emergence of a regional community of practice connecting meteorological services across national borders. These elements are particularly important in transboundary river basins such as the Sirba, where effective flood early warning depends on coordinated interpretation of forecasts and shared operational procedures among neighbouring countries.</p><p class="isSelectedEnd">The experience demonstrated that sustainable early warning systems are built not only through technology, but also through competent people, collaborative processes and strong institutions. Operational competence emerged as a key ingredient for transforming weather forecasts into actionable information for disaster risk reduction and climate resilience.<img loading="lazy" decoding="async" class=" wp-image-16188 alignright" src="https://climateservices.it/wp-content/uploads/2026/06/MG_8714conv-300x200.jpg" alt="" width="250" height="167" srcset="https://climateservices.it/wp-content/uploads/2026/06/MG_8714conv-300x200.jpg 300w, https://climateservices.it/wp-content/uploads/2026/06/MG_8714conv-1024x683.jpg 1024w, https://climateservices.it/wp-content/uploads/2026/06/MG_8714conv-768x512.jpg 768w, https://climateservices.it/wp-content/uploads/2026/06/MG_8714conv-1536x1024.jpg 1536w, https://climateservices.it/wp-content/uploads/2026/06/MG_8714conv-2048x1365.jpg 2048w" sizes="(max-width: 250px) 100vw, 250px" /></p><p class="isSelectedEnd">The relevance of this experience was recognised through several international dissemination and knowledge-sharing initiatives. In October 2025, the SLAPIS Sahel project organised the international conference <a href="https://wmo.int/media/news-from-members/italian-african-cooperation-strengthen-early-warnings-sahel#:~:text=The%20event%20%E2%80%9CInternational%20Cooperation%20in,Italy%2C%20on%2014%20October%202025.&amp;text=Climate%20change%20is%20amplifying%20the,on%20societies%2C%20infrastructures%20and%20economies."><em>International Cooperation in Applied Meteorology for Reducing Hydroclimatic Risks</em></a>, bringing together meteorological services, researchers, development agencies and practitioners from Africa and Europe to discuss operational forecasting, early warning systems and capacity development. The conference provided an opportunity to share lessons learned and reflect on the institutional and human dimensions required to sustain forecasting services in resource-constrained contexts.</p><p><img loading="lazy" decoding="async" class=" wp-image-16187 alignright" src="https://climateservices.it/wp-content/uploads/2026/06/Immagine-copertina-300x225.jpeg" alt="" width="250" height="188" srcset="https://climateservices.it/wp-content/uploads/2026/06/Immagine-copertina-300x225.jpeg 300w, https://climateservices.it/wp-content/uploads/2026/06/Immagine-copertina-1024x768.jpeg 1024w, https://climateservices.it/wp-content/uploads/2026/06/Immagine-copertina-768x576.jpeg 768w, https://climateservices.it/wp-content/uploads/2026/06/Immagine-copertina-1536x1152.jpeg 1536w, https://climateservices.it/wp-content/uploads/2026/06/Immagine-copertina.jpeg 2040w" sizes="(max-width: 250px) 100vw, 250px" /></p><p class="isSelectedEnd">The experience was subsequently selected as the subject of a dedicated panel session during the <a href="http://www.calmet.org/p/joint-calmet-xvi-conect-3-third.html">Joint CALMET XVI and CONECT-3 Conference</a>, where trainees, tutors and institutional representatives discussed the challenges, successes and lessons learned from the collaboration. The reflections emerging from this experience were later consolidated in a <a href="https://climateservices.it/publication/from-training-to-transformation-co-producing-sustainable-early-warning-competence-in-west-africa/">scientific paper</a> published in the journal <em>Climate Services</em>, contributing to the international debate on how co-production can support sustainable capacity development for weather and climate services.</p><p><strong>For SLAPIS Sahel, strengthening early warning systems means not only improving forecasts, but also investing in the people, partnerships and institutions that transform forecasts into action.</strong></p>								</div>
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					<h2 class="elementor-heading-title elementor-size-default"><br>Training activities</h2>				</div>
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							03/03/2023 | Niamey, Formation Prévision Numérique du Temps - WRF 1						</a>
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						Opérationnalisation du modèle Weather Research and Forecasting (WRF-Niger) et renforcement des capacités du personnel de la Direction de la Météorologie Nationale en Prévision Numérique du Temps (PNT): les travaux de cette Formation Action se sont déroulés du 27 février au 3 mars 2023 à la DMN de Niamey, Niger.  5 jours, 15 participants du Niger, 3 formateurs d'Italie. 					</p>
				
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							16/02/2024 | Niamey, Formation Prévision Numérique du Temps - WRF 2						</a>
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						Séminaire formation-action sur la performance et réglage du modèle Weather Research and Forecasting (WRF) dans le cadre du Projet SLAPIS Sahel : les travaux de cette Formation Action se sont déroulés du 13 au 16 février 2024 à la DMN de Niamey, Niger.  4 jours, 24 participants du Niger et du Burkina Faso, 3 formateurs d'Italie.					</p>
				
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						Atelier de Formation-action sur le Cadrage du système d’alerte précoce inondations au Burkina  Faso: l'atelier a été organisé à Ouagadougou du 20 au 23 février 2024.  4 jours, 33 participants du Burkina Faso, 3 formateurs d'Italie et 2 du Niger.					</p>
				
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							07/06/2024 | Turin, Formation Modélisation Hydrologique						</a>
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						L'atelier de Formation en « Modélisation Hydrologique » à été organisé à Turin, Italie, du 27 mai au 7 juin 2024 auprès du Polythecnique de Turin. Y ont participé 4 experts hydrologues de la DGRE du Burkina et de la DRE du Niger, encadrés par Daniele GANORA et Stefania TAMEA du Polytechnic.					</p>
				
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				<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F4_102024_Niamey.pdf" target="_blank" class="elementor-icon" tabindex="-1" aria-label="31/10/2024 | Niamey, Formation Réduction Risque Inondation">
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						<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F4_102024_Niamey.pdf" target="_blank" >
							31/10/2024 | Niamey, Formation Réduction Risque Inondation						</a>
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						L’atelier de formation-action sur « la réduction du risque d’inondation dans les communes de Namaro et de Karma au Niger » a été organisé à Niamey, Niger le 30 et 31 octobre 2024. Y ont pris part 50 participants du Niger e 4 encadreurs d'Italie					</p>
				
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				<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F4_102024_Niamey.pdf" target="_blank" class="elementor-icon" tabindex="-1" aria-label="23/11/2024 | Turin, Formation Géomatique">
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						<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F4_102024_Niamey.pdf" target="_blank" >
							23/11/2024 | Turin, Formation Géomatique						</a>
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						L’atelier de formation en « géomatique et modélisation hydraulique » a été eorganisé à Turin, Italie, du 8 au 23 novembre 2024 auprès du Polythecnique de Turin. Y ont participé 6 experts du Burkina et du Niger, encadrés par Marco Piras et Riccardo Vesipa du Polythecnique.					</p>
				
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				<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F6_112025_Ouaga.pdf" target="_blank" class="elementor-icon" tabindex="-1" aria-label="07/11/2025 | Ouagadougou, Formation MOLOCH - Burkina Faso">
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							07/11/2025 | Ouagadougou, Formation MOLOCH - Burkina Faso						</a>
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						Le séminaire de formation a été organisé du 03 au 07 novembre 2025 à Ouagadougou, Burkina Faso, à bénéfice des experts en prévision météorologique et en modélisation de l’ANAM du Burkina Faso. Cette formation visait à assurer un transfert de compétences entre les différentes parties prenantes (Burkina Faso, Niger, Italie) pour la maîtrise et l’exploitation du modèle MOLOCH au Burkina Faso. 5 jours, 15 participants Burkina, 3 formateurs Italie, 1 Burkina et 1 Niger. 5 jours, 15 participants Burkina, 3 formateurs Italie, 1 Burkina et 1 Niger					</p>
				
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				<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_Stage_032026_Florence.pdf" target="_blank" class="elementor-icon" tabindex="-1" aria-label="06/03/2026 | Florence, Stage Formation PNT - Burkina Faso et Niger">
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						<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_Stage_032026_Florence.pdf" target="_blank" >
							06/03/2026 | Florence, Stage Formation PNT - Burkina Faso et Niger						</a>
					</h3>
				
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						Ce rapport synthétise les travaux réalisés dans le cadre du stage de formation de longue durée sur la « Prévision Numérique du Temps pour l’alerte précoce contre les inondations » d’une durée de 16 mois (novembre 2024 – mars 2026), effectuée à l’Institut de Bioéconomie (IBE - CNR) de Florence par Younoussa Adamou Sayri (DNM Niger) et Rakiswende Thomas Bere (ANAM Burkina Faso).  L’enjeu central est l’opérationnalisation du modèle régional WRF, ainsi que du modèle MOLOCH, afin d’alimenter le système d’alerte précoce contre les crues éclair sur les bassins du fleuve Niger et de la Sirba. Les activités menées durant cette période se sont articulées autour des axes stratégiques suivants : • Maîtrise technique et configuration des modèles WRF et MOLOCH ; • Réalisation de simulations a posteriori pour l'analyse d'événements passés ; • Évaluation des performances et calibration des paramètres physiques ; • Contribution à l’opérationnalisation du système et rédaction de la documentation technique (manuel d’exploitation) 					</p>
				
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				<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F7_052026_Niamey.pdf" target="_blank" class="elementor-icon" tabindex="-1" aria-label="22/05/2026 | Niamey, Formation MOLOCH - Niger">
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						<a href="https://climateservices.it/wp-content/uploads/2026/06/SLAPIS_Rapport_F7_052026_Niamey.pdf" target="_blank" >
							22/05/2026 | Niamey, Formation MOLOCH - Niger						</a>
					</h3>
				
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						Le séminaire de formation a été organisé du 18 au 22 mai 2026 à Niamey, Niger, à bénéfice des experts en prévision météorologique et en modélisation de la DNM du Niger. Cette formation visait à assurer un transfert de compétences entre les différentes parties prenantes (Burkina Faso, Niger, Italie) pour la maîtrise et l’exploitation du modèle MOLOCH au Niger et pour l'évaluation de ses produits.  5 jours, 15 participants Niger, 1 formateur  Burkina et 1 Niger. 					</p>
				
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		<p>The post <a href="https://climateservices.it/progetto/slapis-sahel-training-in-numerical-weather-prediction/">Competences co-development</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>Dataset on Flood Risk Along the Niger River Upstream of Niamey</title>
		<link>https://climateservices.it/publication/dataset-on-flood-risk-along-the-niger-river-upstream-of-niamey/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Wed, 10 Jun 2026 14:31:38 +0000</pubDate>
				<guid isPermaLink="false">https://climateservices.it/?post_type=publication&#038;p=16180</guid>

					<description><![CDATA[<p>Knowledge of river flood risk in semiarid rural areas is often based on outdated, low-resolution geoinformation. Consequently, identification of exposed settlements, assets and risk-reduction measures remains challenging. This dataset provides up-to-date, fine-grained information for a rural area spanning 931 km2 that is exposed to flooding from the Niger River and the Karma Wadi. The dataset includes [&#8230;]</p>
<p>The post <a href="https://climateservices.it/publication/dataset-on-flood-risk-along-the-niger-river-upstream-of-niamey/">Dataset on Flood Risk Along the Niger River Upstream of Niamey</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Knowledge of river flood risk in semiarid rural areas is often based on outdated, low-resolution geoinformation. Consequently, identification of exposed settlements, assets and risk-reduction measures remains challenging. This dataset provides up-to-date, fine-grained information for a rural area spanning 931 km<sup>2</sup> that is exposed to flooding from the Niger River and the Karma Wadi. The dataset includes information on (i) areas exposed to the two flood types that characterise the river’s hydrological regime and flash floods from the wadi, (ii) flood-prone crops, buildings and (iii) measures for risk treatment. Discharge data, a 4 m horizontal-resolution digital elevation model, and two-dimensional hydraulic modelling with BASEMENT were used to identify flood-prone areas. Visual interpretation of high-resolution satellite imagery in Google Earth, together with field inspections, enabled the identification of exposed assets. The Information System on Rural Markets of Niger and house compensation values recognised during resettlement-related works enabled asset valuation. Risk was expressed in monetary terms as the product of flood probability and expected damage. Risk-reduction measures were identified with stakeholders through a SWOT analysis and prioritised using eight criteria. The dataset can support emergency plans, flood early warning systems, rescue and recovery operations and flood risk management.</p>
<p>The post <a href="https://climateservices.it/publication/dataset-on-flood-risk-along-the-niger-river-upstream-of-niamey/">Dataset on Flood Risk Along the Niger River Upstream of Niamey</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>Mapping precipitation extremes for pluvial flood risk management in the Sirba river basin, Burkina Faso</title>
		<link>https://climateservices.it/publication/mapping-precipitation-extremes-for-pluvial-flood-risk-management-in-the-sirba-river-basin-burkina-faso/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Fri, 22 May 2026 10:11:30 +0000</pubDate>
				<guid isPermaLink="false">https://climateservices.it/?post_type=publication&#038;p=16164</guid>

					<description><![CDATA[<p>Sahelian Africa is increasingly exposed to extreme hydrological events. Both fluvial and pluvial floods are becoming more severe and frequent, posing significant new threats to the livelihoods of local communities. To enhance resilience to floods, the development of effective operational tools for assessing risk and supporting decision-making is crucial. When it comes to pluvial floods, [&#8230;]</p>
<p>The post <a href="https://climateservices.it/publication/mapping-precipitation-extremes-for-pluvial-flood-risk-management-in-the-sirba-river-basin-burkina-faso/">Mapping precipitation extremes for pluvial flood risk management in the Sirba river basin, Burkina Faso</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Sahelian Africa is increasingly exposed to extreme hydrological events. Both fluvial and pluvial floods are becoming more severe and frequent, posing significant new threats to the livelihoods of local communities. To enhance resilience to floods, the development of effective operational tools for assessing risk and supporting decision-making is crucial. When it comes to pluvial floods, the first step towards this goal is to improve the understanding of extreme daily and sub-daily precipitation events and their spatial patterns in the target areas. Within the SLAPIS Project framework, this work does so for the Sirba river basin (Burkina Faso and Niger) proposing a methodology to address the challenges posed by the scarcity of hydrological data typical of the Sahel region. First, it was assessed how well gridded precipitation products (ERA5, TRMM, TAMSAT) match observed rainfall records. Then, bias correction of selected datasets was performed and tested to evaluate its reliability when spatially interpolated through the whole basin. The Metastatistical Extreme Value Distribution was finally applied to the corrected datasets to investigate the precipitation extremes exploiting the bulk of the available data, unlike classical extreme value analysis, which relies on only a small subset of the data. This procedure resulted in the production of extreme daily and sub-daily precipitation maps with enhanced accuracy and robustness, providing novel information on events that can cause pluvial flooding at the settlement scale. The methodology adopted in this study could be applied to other Sahelian basins where enhanced knowledge of extreme precipitation magnitudes and patterns is needed.</p>
<p>The post <a href="https://climateservices.it/publication/mapping-precipitation-extremes-for-pluvial-flood-risk-management-in-the-sirba-river-basin-burkina-faso/">Mapping precipitation extremes for pluvial flood risk management in the Sirba river basin, Burkina Faso</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>From training to transformation: co-producing sustainable early warning competence in West Africa</title>
		<link>https://climateservices.it/publication/from-training-to-transformation-co-producing-sustainable-early-warning-competence-in-west-africa/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Mon, 13 Apr 2026 09:51:45 +0000</pubDate>
				<guid isPermaLink="false">https://climateservices.it/?post_type=publication&#038;p=16100</guid>

					<description><![CDATA[<p>Operational numerical weather prediction in Sub-Saharan Africa remains fragile despite increasing availability of models and data. A key limiting factor is the limited operational and institutional capacity of National Meteorological Services to operate, assess, adapt, and sustain forecasting chains within routine operations for early warning systems. Short-term, tool-oriented training initiatives often fail to address this [&#8230;]</p>
<p>The post <a href="https://climateservices.it/publication/from-training-to-transformation-co-producing-sustainable-early-warning-competence-in-west-africa/">From training to transformation: co-producing sustainable early warning competence in West Africa</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div id="sp0010" class="u-margin-s-bottom">Operational numerical weather prediction in Sub-Saharan Africa remains fragile despite increasing availability of models and data. A key limiting factor is the limited operational and institutional capacity of National Meteorological Services to operate, assess, adapt, and sustain forecasting chains within routine operations for early warning systems. Short-term, tool-oriented training initiatives often fail to address this gap, as learning remains weakly embedded in daily service delivery and rarely translates into sustained operational competence.</div>
<div id="sp0015" class="u-margin-s-bottom">This paper presents a qualitative case study examining how co-production principles can be operationalized to support the development of operational competence for flood early warning. The study draws on a long-term capacity-development experience involving the National Meteorological Services of Niger and Burkina Faso and the Tuscany Regional Meteorological Service in Italy. The approach combined long-term embedding of trainees within an operational forecasting team, training-of-trainers, and peer-to-peer institutional collaboration, linking learning to real operational workflows.</div>
<div id="sp0020" class="u-margin-s-bottom">Results are analysed across methodological, operational, and institutional dimensions. Methodological findings show how co-production principles can structure competence-oriented training processes by integrating instructional design, operational practice, and iterative evaluation. Operational results highlight the importance of sustained practice and routine verification, while institutional results point to the role of training of trainers and public institutional collaboration supporting sustainability of competence beyond individual skills and knowledge.</div>
<div id="sp0025" class="u-margin-s-bottom">By reframing competence as a foundational component of climate services, the study offers transferable insights for capacity development in resource-constrained and transboundary contexts.</div>
<p>The post <a href="https://climateservices.it/publication/from-training-to-transformation-co-producing-sustainable-early-warning-competence-in-west-africa/">From training to transformation: co-producing sustainable early warning competence in West Africa</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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		<title>Building Local Capacity through Cascading Agrometeorological Training in Niger A scalable model from the PRIMESA initiative</title>
		<link>https://climateservices.it/poster/building-local-capacity-through-cascading-agrometeorological-training-in-niger-a-scalable-model-from-the-primesa-initiative/</link>
		
		<dc:creator><![CDATA[Vieri Tarchiani]]></dc:creator>
		<pubDate>Mon, 17 Nov 2025 10:47:06 +0000</pubDate>
				<guid isPermaLink="false">https://climateservices.it/?post_type=poster&#038;p=16047</guid>

					<description><![CDATA[<p>Within the framework of the PRIMESA initiative, funded by the Italian Agency for Development Cooperation (AICS), a structured multi-scale training program is being<br />
implemented in Niger to enhance the use of agrometeorological information for climate-resilient agriculture. In collaboration with the National Directorate of<br />
Meteorology (DMN) and the Ministry of Agriculture of Niger, this training scheme builds on lessons learned from the earlier ANADIA project and aims to reach farmers through a cascading training model.<br />
The program begins at the national level, where international experts train technical staff from the DMN and the Ministry of Agriculture on key topics such as the use<br />
of low-cost rain gauges (pluviomètres paysans), seasonal forecasts, and 10-day agrometeorological bulletins to support decision-making in agronomic crop<br />
management. These national trainers then deliver training at the regional level to agricultural extension officers, who subsequently work directly with farmers in the<br />
field.<br />
The approach combines in-person sessions, practical demonstrations, printed and digital materials, and communication via rural radio and WhatsApp groups during<br />
the growing season. Preliminary evidence shows that trained farmers not only better understand weather and climate information but also apply it more effectively<br />
leading to improved yields.<br />
This experience underscores the importance of co-developing training content with local actors and creating robust, multi-level partnerships to ensure that<br />
meteorological information is not only disseminated but understood and used effectively at the community level. The model developed in Niger offers a replicable<br />
approach for other regions facing similar challenges in agricultural adaptation and training dissemination.</p>
<p>The post <a href="https://climateservices.it/poster/building-local-capacity-through-cascading-agrometeorological-training-in-niger-a-scalable-model-from-the-primesa-initiative/">Building Local Capacity through Cascading Agrometeorological Training in Niger A scalable model from the PRIMESA initiative</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://climateservices.it/poster/building-local-capacity-through-cascading-agrometeorological-training-in-niger-a-scalable-model-from-the-primesa-initiative/">Building Local Capacity through Cascading Agrometeorological Training in Niger A scalable model from the PRIMESA initiative</a> appeared first on <a href="https://climateservices.it">climateservices.it CNR-IBE</a>.</p>
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