Introduction
The Ambee’s Weather API provides real-time local weather data for temperature, pressure, humidity, wind, cloud cover, visibility, and dew point for any location on the planet based on latitude and longitude. These variables have an impact on a variety of weather-sensitive industries. Our data has the potential to aid in the management of weather-related risks.
Climate-related risks
No organization can make judgments about sustainability transitions overnight. Before taking new moves, organizations must identify risks and develop a plan to adjust their objectives effectively. Data or environmental intelligence should inform strategy and investment decisions in industries vulnerable to such changes (EI). Following thorough research on the mounting dangers of climate change to their businesses, these firms can formulate measures to avert potential risks and losses.
Organizations can utilize Environmental Intelligence to collect weather data and improve forecasting cycles. By combining real-time data from on-ground monitors, satellite imaging, and includes data, and applying Artificial Intelligence (AI) to obtain precise information, modern environmental technology can assist organizations in assessing and analyzing hazards. These companies can also employ location intelligence to determine the hazards. People can better grasp insights & make better decisions by seeing spatially oriented data. Climate change also presents chances for business and innovation. Historical weather count data can be used by businesses to forecast market growth and develop sustainable environmental products and services. Demand for sustainable ideas and services increases, boosting competitiveness and opening new market prospects. Businesses can make plans for such improvements using the data offered by EI, resulting in a result that benefits both the business and the environment.
At Ambee, we believe in a cutting-edge approach to addressing a global issue. The first step in overcoming any issue, real or imagined, is to get more information about it. With gathering this information comes analysis and evaluation, which can aid organizations and individuals in preparing for the situation. Ambee’s provides useful and meaningful climate change data on pollution levels, pollen, fire, soil, and weather. Companies can use this information to evaluate risks, learn about consequences, develop plans and strategies, and plan.
We are on the verge of a global environmental crisis, and businesses have begun to understand the importance of sustainability, but this is only the first step. Businesses must rethink their strategies and development plans considering the changing climate. They can help lessen, if not reverse, the impact they have on the environment and climate by utilizing historical data, efficient data management in the now, and better forecasting of the future.
Ambee’s weather API
Weather forecasting is made possible through Ambee's Weather API, which provides real-time weather data. The data models are created with data validation as a principal focus to provide reliable data with relevant insights. Private data insights are simple to incorporate into weather-related industry applications. Ambee aggregates weather data by integrating on-ground sensors, satellite images, and statistical analysis to ensure data accuracy and availability. The data models rely on weather data from the past. Ambee's unique AI-powered algorithms perform data analysis to validate and offer reliable real-time historical weather data. Weather data allows for weather forecasting by supplying real-time weather data such as temperature, weather patterns, pressure, wind, and other variables. Weather data also gives actionable insight and guidance that may be readily integrated with any product, platform, or application to improve user experience, sales, and performance.
Conclusion
The consequences of climate change trap the heat of the earth. Since 1850, each of the last 4 decades has been successively warmer than the decade before it. The global surface temperature was 0.99 [0.84-1.10] °C higher in the first two decades of the twenty-first century (2001-2020) than it was in the previous two decades (1850-1909). In 2011–2020, the global average temperatures were 1.09 [0.95 to 1.20] °C higher than it was in 1850–1900, with gains overland (1.59 [1.34 to 1.83] °C) being larger than those over the ocean (0.88 [0.68 to 1.01] °C). In 2016, there were 772 weather and disaster events, and over three times the number in 1980. Currently, 20 percent of species are endangered, with that number expected to rise to 50 percent by 2100. Even if all governments meet their Paris climate obligations, global average temperatures are anticipated to be 3° Celsius greater by 2100 than before the Industrial Revolution. The existence of Artificial Intelligence is some good news in this situation. Environmental insights obtained from AI and machine learning approaches become the ultimate tools for controlling the consequences of climate change and ensuring prevention to better protect the globe.
EI has helped farmers in India enhance groundnut yield and production by teaching them how to prepare the soil, apply fertilizer, and determine planting dates, leading to a 30% increase in yields per hectare. EI is being utilized in Norway to create a flexible, self-contained power infrastructure that absorbs more renewable energy. Furthermore, EI has aided researchers in spotting tropical cyclones, weather fronts, even atmospheric rivers with 89 to 99 percent accuracy, the latter of which can create significant precipitation and is generally difficult to detect on its own. By improving weather predictions, this kind of device may be able to assist people in staying safe.
