Neom is a Saudi project for a smart and tourist cross-border planned for construction. The project is located in the far north-west of Saudi Araba and it will be constructed in Tabuk. It includes marine land located within the Egyptian and Jordanian borders. It will provide many investment opportunities with a total area of 26,500 km2 (10,200 sq mi) and will extend 460 km on the coast of the Red Sea.
The project aims to transform Saudi Arabia into a leading global model in various aspects, one of the main objectives of the project is to seek ways of cooperation and investment with a wide network of international investors and innovators, and aims to focus on advanced industries and advanced technology. The first phase will be completed by 2025. The project was supported and funded by the Saudi Public Investment Fund of $ 500 billion.
Climate: NEOM summers are long, from late May to early October with average daily temperatures on the coast of 32.2C (90F) with cooler temperatures at higher elevations. Interior regions have much higher temperatures, up to 39C (102F) near Tabuk. Winters are from early December to early March with daily high averaging 25C (77F).
The climate and terrain are very varied, from more moderate coast regions, higher altitude mountainous region, and hot dry interiors. Temperatures are roughly about 10°C cooler than neighboring regions. The coastal climate can be oppressively humid. The diverse mountainous terrain has greater precipitation and cooler marine winds.
The widely varied climate and topography of the region requires specific location analysis. In addition, the scarcity of climate data over large areas made analysis difficult. Duba, Saudi Arabia had sufficient and reliable climate data and was chosen as representative of the coastal climate.
Data used is based on statistical analysis of weather data from January 1980 to January 2016. Global climate change forecasts temperature and humidity will gradually increase and will persist for longer seasonal periods in this region.
Humidity: This coastal region experiences relatively humid conditions 80% of the year with over 5 months (early June to late October) of very humid conditions during from over 40% to over 90% of the month.
WaterSeer Yield Curve: The WaterSeer yield curve is below. Yield is based on WaterSeer Sonoma model third party testing and trials under a wide variety of controlled and field conditions. Monthly yield is on the left vertical axis. The bottom horizontal axis is the average temperature. The Relative Humidity % (RH) is color coded in 10% increments.
NEOM Estimated Yield: NEOM and its coastal region has an excellent climate for WaterSeer WaterGrid deployment. The yield forecast table below is predicted using annual weather data collected from 1980 to 2016. Quarterly yield is estimated for a small ten-unit coastal WaterGrid for three types of installation; outside, such as a garden or greenspace, a hydroponics greenhouse or vertical farm, and off-shore facilities and small islands.
Arabian Aquifer Depletion: According to NASA, “The Arabian Aquifer, which is the sole source for 60 million people, is in the world’s worst condition: a large dwindling aquifer, no recharge, and accelerating demand for more water.”
Even worse, the transfer of ground water to surface water is exacerbating climate change effects. The ever-drier soil raises continental air temperatures, accelerating climate and weather volatility, shifting rain away from the areas that need it most. The result: less water, lower agricultural production, more aquifer draining wells, and the vicious cycle continues.
Sources and Data: Weather data and models are derived from historical weather reports. Yield estimate is from Sonoma Yield Forecast Model. Data graphics are from weatherspark.com and waterseer.org. We chose three areas for weather data; Tobuk which is interior and very dry; Duba, which is southern coastal region of NEOM and relatively humid; and the coastal region near Hamid and Gayal. Duba, which has a high volume of climate data was chosen as representative.
This analysis was prepared in September 2018. Weather is unpredictable and weather data and analysis is probabilistic. Every effort has been made to assure this assessment is accurate and error free. It is published as is without any assurance as to its suitability for any purpose.