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Last modified
7/28/2009 2:32:14 PM
Creation date
4/2/2008 2:46:39 PM
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Fields
Template:
Weather Modification
Title
Hydro-Climate Index Study - Final Report
Prepared By
HDR Engineering
Date
2/14/2008
County
Statewide
State
CO
Weather Modification - Doc Type
Report
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It may seem at first that many of these regions are far away from Colorado <br />however, while keeping the large-scale system in mind we think of the words of Robert <br />A. Heinlein who once said “Climate is what you would expect, weather is what you get”. <br />These regions of atmospheric and oceanic variability may essentially act as large-scale <br />‘drivers’ that change the long-term position of the jet stream which in turn, effects the <br />frequency and potency of storm activity that drives some of the variability in seasonal <br />precipitation and temperature values. It should be noted that the variables used in the <br />tabulation of these HCI are driven by atmospheric and/or oceanic measurements that <br />were consistently and/or accurately measured starting in the late 1940’s. However,it <br />should be noted that some research groups have extrapolated certain HCI values back <br />and extra 50-120 years back based on courser datasets. Despite this the determinate <br />values such as precipitation and streamflow are still limited by observations that date <br />back to the late 1940s’. <br />A brief summary and explanation of the HCI values can be found below: <br />Southern Oscillation Index (SOI) <br />: This index is one of the first and most basic indexes <br />that have been used in climatic-scale analysis. The variability that is inherent in this <br />index is embedded in the overall phenomenon known as the El Nino-Southern Oscillation <br />(ENSO) that is one of the most well-known factors in climatic/seasonable variability. <br />This calculation of the index is a derivative of the measurement of differences in <br />atmospheric pressure between Tahiti and Darwin, Australia. Given that simple <br />atmospheric pressure instruments are one of the first and most basic measurements made <br />by man, this index extends back a long period of time into the late 1800’s. <br />Nino 3.4 <br />: This index is another variant of the ENSO phenomenon. Nino 3.4 is simply <br />defined as the Sea Surface Temperatures (SST) of the region defined by an area that is <br />from 5 degrees north to 5 degrees south latitude and from 170 degrees west longitude to <br />120 degrees west longitude. As of January 2005, the National Atmospheric and Oceanic <br />Administration officially declares conditions to be in an ‘El Nino’ condition when SST in <br />this region are 0.5 degrees Celsius warmer than the 1971-2000 average for three- <br />consecutive months. If the SST in this ‘box’ is 0.5 degrees Celcius or colder than the 30- <br />year average then conditions are considered to be in a ‘La Nina’ state. <br />Multi-Variate ENSO Index (MEI): <br />This index can best be summarized as an ‘all <br />encompassing’ index to measure the strength and duration of ENSO events. This index is <br />comprised of indexed measurements of surface winds, pressure and temperatures along <br />with cloud cover and SST measurements. <br />Pacific Decadal Oscillation (PDO) <br />: This index is essentially measure a ‘north-south’ <br />and to some extent and ‘east-west’ difference in SST across the Pacific Ocean from the <br />equatorial regions to the North Pacific. This index does indicate its’ highest degree of <br />variability on multi-decadal scales (mainly on the range of 30 years or so), however <br />embedded within these periods are year-to-year variations which is the reasoning for <br />inclusion in this study. <br />North Atlantic Oscillation (NAO): <br /> The NAO encompasses the most dominant mode of <br />variability in the atmosphere in the Atlantic Ocean and examines departures in the large- <br />scale departures in upper-level atmospheric patterns over the North Atlantic mid-and- <br />5 <br />
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