Your SlideShare is downloading. ×
IEDRO Presentation with Music
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Saving this for later?

Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime - even offline.

Text the download link to your phone

Standard text messaging rates apply

IEDRO Presentation with Music

318
views

Published on

Published in: Education

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
318
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
7
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • For this application of rescued historic meteorological data let’s give a hypothetical example. A bridge is planned to span a major river in the U.S. It will carry 100,000 commuters each day with 1,000 on the bridge at any single moment.The cost of the bridge will be $2,000,000,000 (two Billion dollars) and will take 4 years to build. The City Government along with their insurance companies draft the construction specifications. Of course, the stronger the bridge will be built, the higher the construction costs so a trade-off of cost versus safety must be made.The bridge architect, contractors, city fathers and insurance underwriters check all readily-availabledigital historic weather records to feed the extreme weather conditions into the bridge design software. The most critical factor is the strength of the wind on the new bridge. These digital historic weather records obtained from the U.S. National Weather Service indicate the strongest wind recorded in the vicinity of the new bridge location was 93 mph on January 23, 1901. Thus the strongest wind during the past 107 years was 93 mph!
  • Better Flood Forecasting
  • River and Flash Floods kill more people than all other natural disasters (other than drought) combined. More than tornados, lightning, earthquakes, tsunamis, avalanches, and mud slides put together.We are lucky in the United States. Our river and flash flood computer programs run by the National Weather Service are very accurate, many times forecasting the arrival of the flood crest within minutes of its occurrence with a forecast flood height within a few inches of what actually occurs. People in the U.S. die in floods mainly through their own stupidity in trying to cross flooded areas in their cars.However, in most developing countries, their weather forecasters are not able to provide any accurate warnings and many people die. It isn’t always due to the lack of education and training of the country’s forecasters. Nor is it always due to a lack of sophisticated flood forecast computer models.
  • River and Flash Floods kill more people than all other natural disasters (other than drought) combined. More than tornados, lightning, earthquakes, tsunamis, avalanches, and mud slides put together.We are lucky in the United States. Our river and flash flood computer programs run by the National Weather Service are very accurate, many times forecasting the arrival of the flood crest within minutes of its occurrence with a forecast flood height within a few inches of what actually occurs. People in the U.S. die in floods mainly through their own stupidity in trying to cross flooded areas in their cars.However, in most developing countries, their weather forecasters are not able to provide any accurate warnings and many people die. It isn’t always due to the lack of education and training of the country’s forecasters. Nor is it always due to a lack of sophisticated flood forecast computer models.
  • After hurricane Mitch devastated Central America in 2000, the National Weather Service provided computers, forecast models and training to one country and set up a River Forecast Center (RFC).This new RFC began forecasting floods for its largest river basin. Although the computers, computer flood models and the capabilities of the forecasters were equal to the U.S., they could not forecast the arrival of the flood crest within hours nor get the forecasted height within several feet. What was wrong? Why couldn’t their forecasts approach the accuracy of the forecasters in the U.S.?Data! Actually the lack of digitized data. Where the U.S. forecasters enjoyed having 50 years of rainfall and river flow data to baseline their computer models, this country had three years of digitized data. It is like trying to forecast the winner of a horse race when for one horse you have the results of two races in which it participated and for the other horse you had the results from twenty. Which is likely to be the more accurate?This country DID have many more years of historic rainfall and river flow data for the basin…forty-three years of data! Unfortunately, all those data existed on 16,000 paper charts which cannot be entered into the computer model until those data are digitized. Digitizing cost about $45,000…the cost of an expensive new car…to provide accurate flood forecasts that could save hundreds of lives.Is Data Rescue important? Absolutely!Is Data Rescue being done? Hardly at all!Why not? It is neither glamorous nor exciting.
  • After hurricane Mitch devastated Central America in 2000, the National Weather Service provided computers, forecast models and training to one country and set up a River Forecast Center (RFC).This new RFC began forecasting floods for its largest river basin. Although the computers, computer flood models and the capabilities of the forecasters were equal to the U.S., they could not forecast the arrival of the flood crest within hours nor get the forecasted height within several feet. What was wrong? Why couldn’t their forecasts approach the accuracy of the forecasters in the U.S.?Data! Actually the lack of digitized data. Where the U.S. forecasters enjoyed having 50 years of rainfall and river flow data to baseline their computer models, this country had three years of digitized data. It is like trying to forecast the winner of a horse race when for one horse you have the results of two races in which it participated and for the other horse you had the results from twenty. Which is likely to be the more accurate?This country DID have many more years of historic rainfall and river flow data for the basin…forty-three years of data! Unfortunately, all those data existed on 16,000 paper charts which cannot be entered into the computer model until those data are digitized. Digitizing cost about $45,000…the cost of an expensive new car…to provide accurate flood forecasts that could save hundreds of lives.Is Data Rescue important? Absolutely!Is Data Rescue being done? Hardly at all!Why not? It is neither glamorous nor exciting.
  • While the accuracy of weather forecasts over the past quarter century has gotten significantly better…(No the forecasters are NOT wrong most of the time)…accuracy of the 24 hour forecast is somewhere above 92%. The unfortunate situation is called: “The Weatherman’s Lament” When we’re right, no one remembers!When we’re wrong, no one forgets!But…there is room for improvement. Forecasters study past weather events like devastating tornado outbreaks, hurricanes, torrential rainfall and associated floods trying to see how they could have made more accurate or timely forecasts and warnings. The researchers thoroughly study each significant weather event many times using data that was not available to the duty forecaster at the time…weather observations that were taken but not transmitted to the forecaster. These data often hold the key as to why a particular weather situation turned severe. These data, not having been transmitted electronically so that they could be digitally archived, still reside on their paper observation forms in storage rooms waiting to be discovered and digitized for the researchers use…before they become illegible or discarded and gone forever. This isn’t so much a problem in developed countries like the U.S. but it is business as usual in poor countries. Is saving these data important…YES, just as important as saving these data in wealthy countries.Is Data Rescue important? Absolutely!Is Data Rescue being done? Hardly at all!Why not? It is neither glamorous nor exciting.
  • Climate Change Prediction
  • We saved the best reason to locate, rescue and digitize environmental data for last…..CLIMATE CHANGE – GLOBAL WARMING…FACT OR FICTION???Although nearly all scientists agree that climate change is occurring and that the average temperature of the earth is increasing, there is still debate as to whether or not these changes are caused entirely, in part, or not at all by human activity.It is NOT IEDRO’s purpose, goal or objective to prove or disprove these concerns. It IS IEDRO’s goal to locate, rescue and digitize every piece of old environmental data we can find so that ALL scientists and researchers have the most accurate and complete record of what has happened in the past so that rational, scientifically-based, and unbiased causes for climate change can be discovered.The one thing both “sides” of the controversy can agree on is that additional data would be very helpful, if not absolutely critical, to determining what is really happening and why.IEDRO’s efforts in this area COULD positively affect the lives of literally EVERY LIVING THING on this planet…for IF global warming is occurring and is being caused by humans, BILLIONS of people are at risk and actions mitigating this risk must occur now! Is Data Rescue important? Absolutely!Is Data Rescue being done? Hardly at all!Why not? It is neither glamorous nor exciting.Do you need IEDRO to succeed, NOW? You better believe it!
  • Over 1,000,000 old weather observations have been rescued by IEDRO and all the countries we are helping have agreed that their data can be shared with the entire world community for everyone’s benefit.1 MILLION !!! Sounds like a lot doesn’t it. We estimate that we are losing one million old environmental observations every 10 days! We are losing them to rotting paper and fading inks and just being discarded because the space they occupy is needed for something else that is obviously more important.Hundreds of millions of data values are also dying locked on magnetic tape dating back to the 1950s or on microfiche and microfilm that is fading and will soon be unreadable.For all the reasons cited in this presentation and for hundreds more, we need to act and we need to act now…before it’s too late…if it isn’t already.Data Rescue & Digitization ….More important than a cure for AIDS...More important than a cure for CANCER...More important than a cessation of all armed conflicts...More important than anything else we can do...
  • Here’s our contact information
  • Transcript

    • 1. Be Part of the Solution
      www.IEDRO.org
    • 2. International Environmental Data Rescue Organization [IEDRO]
      A 501(C)(3) non-profit, non-governmental organization that...
      Locates, rescues and supports the digitization of allenvironmental data, worldwide.
      Works with governments, foundations, and individuals to find funding for these efforts.
      www.IEDRO.org
    • 3.
    • 4.
    • 5.
    • 6. DATA RESCUE !
    • 7. Why?
    • 8. Starvation Prevention
    • 9. Disease Prevention
    • 10. Safer Construction
    • 11. Better Flood Forecasting
    • 12. Better Weather Forecasts
    • 13. Improve Climate Change
      Prediction
    • 14. Let’s Explain
    • 15. Starvation Prevention
    • 16. Prevent Mass Starvation
      Over 8 million people, mostly elderly and children, perish every year from starvation and diseases that result from mal-nourishment.
    • 17. Help Subsistence Farmers Plan
      When we have historic data, we can tell subsistence farmers when to expect floods and droughts in their regions.
      They then can change what they plant and to plan for lean years.
    • 18. Disease Prevention
    • 19. Disease Prevention
      Every year between 1 to 2 million people, mostly the elderly and children, die of air borne diseases.
      These diseases include:
    • Disease Prevention
      Research links disease spread to past weather conditions available from data rescue work.
      Health officials using weather forecasts, can determine when and to where a disease will spread (disease vectorization).
      Early inoculations and spraying could save thousands of lives annually.
    • 23. Disease Prevention
      Data rescue leads to accurate timing of disease spread.
      Preventive actions such as spraying and inoculating can then be done in advance of the disease’s arrival.
    • 24. Safer Construction
    • 25. Safer Construction
      • Environmental conditions destroy under-designed structures
      • 26. Additional historical data provide more realistic construction specifications
      Property and lives are saved.
    • 27. Better Flood
      Forecasting
    • 28. Flood Forecasting
      Floods kill more people than all other natural disasters combined.
    • 29. Computer programs provide accurate flood warnings if many years of historical observations are available.
      Those data aren’t available in developing countries so…. people drown!
    • 30. Better Forecasting
      • Years of environmental data now deteriorating on paper charts!
      • 31. Information that is absolutely necessary to baseline flood forecast models.
    • Digitizing weather data
      Saves lives!
    • 32. Better Forecasting
      • More historic data leads to better understanding of severe weather events.
      • 33. Better understanding leads to more accurate forecasts and warnings.
    • Climate Change
      Prediction
    • 34. Climate Change/Global Warming
      • Historic weather data assist in forecasting the direction and speed of climate change.
      • 35. We can thus decide how best to mitigate either the change or discover the adaptation humankind must take.
      2004
      1941
    • 36. Our successes so far….
      • 328,000 upper-air observations rescued Kenya, Malawi, Mozambique, Niger, Senegal and Zambia
      • 37. 190,000 surface observations rescued in Uruguay and 504,000 surface observations at a private museum in Punta Arenas, Chile
      • 38. “Open and unrestricted exchange of digitized data” accepted by all participating countries
    • What we need now…
      Volunteers
      Donations
    • 39. www.GoodSearch.com
      contributes a penny to IEDRO for every search you do. It costs you nothing and brings IEDRO significant contributions.
      It’s easy to set up. Participate and tell your family and friends!
      Use this search engine…
    • 40. Sample Rescue Costs
      $110 - a copy stand for a developing country to rescue data
      $225 - a digital camera to photograph data at risk
      $1800 - a data expert to train local volunteers
      $2200 - a computer to copy images to CDs
      $4400 - to get a developing country started
    • 41. Make a difference !
    • 42. Give your time and financial help!
    • 43. Saving data
      Saves lives
    • 44. Rescue data now
      Beforeitfadesaway
      forever
    • 45. International Environmental Data Rescue Organization
      901 Main StreetDeale, Maryland 20751-9609
      Phone: (410) 867-1124
      Fax: (410) 867-9259
      E-mail: admin@IEDRO.org
    • 46. www.IEDRO.org