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.

尼亚美气候森林项目数据集概览：

本数据集为GSTIC计划资助的尼亚美气候森林项目的组成部分。

### 户外湿球黑球温度（WBGT）数据
本数据集聚焦2022年与2023年间在尼亚美开展的WBGT热应激实地监测工作。

在「户外WBGT」文件夹中，可获取以下内容：
包含分别对应2022年与2023年采集数据的子文件夹「2022」与「2023」。

在「2022」文件夹下：
包含三个子文件夹，每个子文件夹对应一次数据采集的日期。
每个子文件夹均包含元数据，可提供监测点位详情以及数据采集于阴凉处还是露天阳光下的相关信息。
「figures」子文件夹中还包含展示阴凉与露天两组处理后数据的可视化图表。
此外，每个子文件夹内的「FLIR」文件夹中，存储有监测场地的热红外影像。

而「2023」文件夹中仅提供原始数据集。

部分数据点已完成处理并在可视化仪表板中展示，访问链接为：https://vitobelgium.github.io/niamey-foret-climatique/#14/13.5250/2.1217

### 建模研究
在开展实地监测的同时，研究团队依托VITO的HiRex与Urclim模型，对塔拉杰（Talladje）、博比埃尔（Bobiel）与德泽邦（Deyzeybon）三个街区进行了建模分析。

2022年5月实地监测期间三个街区的模型输出结果，存储于「wbgt_modelling_output」文件夹中。

模型输出结果可通过以下两个仪表板查看：其一为常规可视化仪表板 https://vitobelgium.github.io/niamey-foret-climatique/#14/13.5250/2.1217，其二为3D可视化仪表板 https://vitobelgium.github.io/Niamey_Forest_Climatique_3D_Animation_Niamey/

### 进一步分析
针对建模与实地监测工作的进一步分析成果已发表于一篇学术论文：《萨赫勒城市高分辨率热应激：现状与未来影响评估及城市绿地效能》（可于ResearchGate获取PDF版本：researchgate.net）

### 土壤湿度数据
与户外WBGT数据结构类似，「soilmoisture」文件夹包含以下内容：
元数据文件
存储原始数据的子文件夹
存储可视化图表的子文件夹，图表用于对比阴凉处与露天阳光下的土壤湿度传感器监测数据。