SLAPIS Sahel Project
Sector: Residential • Location: Ouagadougou, Florence, Niger, Burkina Faso, Italy
Source: Devdiscourse
SLAPIS Sahel is a program funded by the Italian Agency for Development Cooperation (AICS) and implemented by the Politecnico di Torino, CNR-IBE, LaMMA, and the national meteorological services of Niger and Burkina Faso. It focuses on strengthening meteorological forecasting chains, enhancing hydrometeorological early-warning services tailored to local contexts, investing in human capacity developm
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | under implementation |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | SLAPIS Sahel is a program funded by the Italian Agency for Development Cooperation (AICS) and implemented by the Politecnico di Torino, CNR-IBE, LaMMA, and the national meteorological services of Niger and Burkina Faso. It focuses on strengthening meteorological forecasting chains, enhancing hydrometeorological early-warning services tailored to local contexts, investing in human capacity development, integrating advanced modeling tools such as MOLOCH and WRF, and reinforcing data management and IT infrastructure for real-time prediction. The program emphasizes sustainability by training African forecasters, analysts, and IT specialists both in Italy and their home countries. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
