Niamey Climate Forest

Niamey Climate Forest Project Data Overview:

• This dataset is a part of the Niamey Climate Forest project funded by the GSTIC program.

Outdoor WBGT Data

• It focuses on heat stress measurement campaigns (WBGT) conducted in Niamey during 2022 and 2023.
• Inside the "Outdoor WBGT" folder, you'll find:
  • Subfolders "2022" and "2023" representing data collected in those respective years.
  • Under the "2022" folder:
    • Three subfolders, each corresponding to the date of data collection.
    • Each subfolder contains metadata providing details about the location and whether the data was collected in shade or sun.
    • Also included are figures presenting processed data for both shade and sun pairs in the "figures" subfolder.
    • Additionally, within each subfolder, there are thermal infrared images of the site in the "FLIR" folder.
  • For the "2023" folder, only the raw dataset is available.
• Some of the data points have been processed and visualized in a dashboard, accessible here: https://vitobelgium.github.io/niamey-foret-climatique/#14/13.5250/2.1217

Modelling execise

• Alongside the measurement campaign, three neighborhoods (Talladje, Bobiel, and Deyzeybon) were modeled using the HiRex and Urclim models of VITO.
• Model outputs for the three neighborhoods during the May 2022 measurement campaign are located in the "wbgt_modelling_output" folder.
• The model outputs can be viewed on a dashboard https://vitobelgium.github.io/niamey-foret-climatique/#14/13.5250/2.1217  and a 3D version https://vitobelgium.github.io/Niamey_Forest_Climatique_3D_Animation_Niamey/ 

Further Analysis:

• Additional analysis of both the modeling and measurement campaigns is available in a scientific article: (PDF) High resolution heat stress over a Sahelian city: Present and future impact assessment and urban green effectiveness (researchgate.net)

Soil Moisture Data:

• Similar to the outdoor WBGT data, the "soilmoisture" folder contains:
  • Metadata files.
  • Subfolders with raw data.
  • Subfolders with figures, comparing soil moisture sensors in shade versus sun conditions.