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To understand and accurately predict global climate change, it is critical that weather data spanning hundreds of years be collected from locations across our entire planet and made available worldwide. A plethora of historic weather observations have been incorporated into databases by industrialized nations. However, for developing countries, which represent two-thirds of the planet’s land mass, data acquisition has been spotty or missing.

Additionally, digitized historic weather observations will enable countries to:

• Improve community planning; change requirements for constructing and reinforcing buildings, bridges and public services to withstand predicted severe weather.
• Educate farmers concerning the real frequency of drought; and educate them to plant more appropriate crops and how much to save for the famine years to avoid starvation.
• Provide public health officials with probabilities for insect-borne disease outbreaks, enabling them to take preventive measures and save thousands of lives.
• Provide flood prediction models with historic precipitation and runoff relationships, dramatically improving flood and mudslide warning accuracies.

Our Mission

To reduce deaths and injuries from extreme natural environmental events throughout the world by:

(1) educating people and institutions on the critical need for historic environmental data;

(2) instructing them how to use those data, and

(3) locating, rescuing, digitizing and providing for the archiving of those data in formats for vital research and operational purposes related to climate change, the spread of disease, alleviation of starvation, protection from floods and mudslides and countless other applications.

Our Vision

The more data we save the more lives we save.

Our Strategic Objectives

Objective #1    Understanding: Educate people and institutions to understand the critical role historic environmental data play in reaching our strategic goal.

Objective #2    Training: Teach people how to use these data to reach our strategic goal.

Objective #3    The Data Rescue and Digitization Process: Locate, rescue and digitize all available historic environmental data and make those data readily available and useful to everyone.

Objective #4    Sustainability: Provide the human and financial resources to expand data rescue and digitization (DR&D) to new countries, maintain and expand existing DR&D operations and ensure the viability and growth of IEDRO as a major proponent of DR&D throughout the world.

Who Uses IEDRO’s Historical Weather Data?

IEDRO collects historical data from as far back as the 1600’s. The data we collect holds the power to help every global citizen today. With data spanning 100 years or more, we can successfully forecast and understand ever-changing climate. The data we collect is digitized and downloaded to an open and unrestricted digital database accessible by all.

Foreign Agricultural Extension Agents to Prevent Starvation
Our data when newly available enables rural agricultural and development planners to show 1.8 billion subsistence farmers the real frequency of drought in their countries. Planting more appropriate crops means extra production for famine years.

Public Health Officials and Disease Researchers to Avert the    Spread of Diseases
Saved data is correlated with historic disease epidemics and pandemics to stem current outbreaks of airborne diseases, such as Malaria, West Nile Virus, Dengue Fever and Yellow Fever. The relationship of past disease spread with the historic weather conditions enables researchers to predict disease spread (disease vectorization). Inoculation teams and mosquito spraying equipment can then be allocated to the most vulnerable areas.

Researchers to Understand Climate Change and Global Warming
Newly available data shows scientists the true extent and rate of global warming and climate change. Regardless of which side of the global warming debate scientists are on, all agree more historical weather data is needed for research, and we need it soon.

Hydrologists and Meteorologists to Predict Severe Weather Conditions
Flooding causes more deaths each year than all other natural disasters combined (e.g., lightning, earthquakes, tsunamis, hurricanes and tornados). Collection of historical rainfall records is critical to flood forecast computer models used by most national weather services (including the U.S.) to forecast river flooding. Accuracy of forecasting increases as the year span of the collected data increases.