GEOPHYSICAL EFFECTS STUDY (REDACTED VERSION)

Document Type: 
Collection: 
Document Number (FOIA) /ESDN (CREST): 
02574264
Release Decision: 
RIFPUB
Original Classification: 
U
Document Page Count: 
53
Document Creation Date: 
December 28, 2022
Document Release Date: 
September 25, 2017
Sequence Number: 
Case Number: 
F-2015-01649
Publication Date: 
December 1, 1984
File: 
Body: 
Approved for Release: 2017/09/11 CO2574264-------- Final Report December 1984 Covering the Period 15 November 1983 to 15 December 1984 GEOPHYSICAL EFFECTS STUDY (U) SRI Project 6600 Copy This document consists of 58 pages. 3 International 333 Ravenswood Avenue � Menlo Park, California 94025 � U.S.A. (415) Ona cnnn . COI !KIT! N)113k" � Tvvx� 910-373-2046 Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED CONTENTS LIST OF ILLUSTRATIONS LIST OF TABLES I OBJECTIVE 1 II EXECUTIVE SUMMARY 3 III INTRODUCTION 5 A. General 5 B. Report Organization 6 IV METHOD OF APPROACH 7 A. Literature Search 7 B. Data Acquisition 7 1. ELF Measurements 7 a. Introduction 7 b. Los Altos Site (TRI) 8 c. SRI Site 10 2. Satellite Downlink Geophysical Data-Acquisition System 11 3. Data-Acquisition System 13 4. Magnetic Data Tapes from NOAA 14 C. Data Analysis 15 I. Integrated Data-Analysis System 15 2. Summary of Data Analyzed 16 3. Summary of Data Unanalyzed 17 D. Analysis Techniques and Data Preparation 18 1. Techniques Used 18 2. Description of Techniques 19 a. Epoch Analysis 19 b. Time-Lag Regression 20 3. Description of Analysis Methods 20 a. RV Data 20 b. Geophysical Data 21 iii UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED V RESULTS 23 A. Results of Geophysical Analysis 23 1. Introduction 23 2. Solar Flux 23 3. Sunspot Number 24 4. Solar Flares 25 5. Magnetic Indices 28 6. SIDs 30 B. Results Pertaining to ELF 31 1. Introduction 31 2. Intercomparison of ELF System 32 3. ELF/RV Comparison 32 VI EVALUATION AND RECOMMENDATIONS 35 VII SUMMARY 37 REFERENCES 41 BIBLIOGRAPHY 43 iv UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED ILLUSTRATIONS 1 ELF Data-Acquisition System 9 2 Real-Time Geophysical Data Acquisition via Westar IV Downlink 12 3 Real-Time Geophysical Data-Acquisition System 14 4 Geophysical/Performance Data-Analysis System 15 TABLES 1 Geophysical Data Bases 2 Description of RV Data UNCLASSIFIED 6 21 Approved for Release: 2017/09/11 002574264 Approved for Release: 2017/09/11 CO2574264 WWI I OBJECTIVE (U) The objective of this effort is to investigate the possible effects of ambient geophysical/extremely low-frequency electro- * magnetic factors on remote viewing (RV) performance Iwo mw (U) RV (remote viewing) is the acquisition and description, by mental means, of information blocked from ordinary perception by distance or shielding. 1 NW � Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 II EXECUTIVE SUMMARY (U) ,4 SRI International was taskedl ibto investigate a potential correlation between remote viewing (RV) performance and ambient geophysical/extremely-low-frequency electromagnetic (ELF) activity. The possibility of such correlation is indicated, for example, by studies showing psychophysiological effects' and behavioral changes' associated with ELF electromagnetic fields. The geophysical variables of interest include such factors as ELF intensity/fluctuations, ionospheric conditions, geomagnetic indices, sunspot number, and solar- flare characE.eristics. The questions addressed in this program are � Do geophysical/performance correlations exist such that measurement of the ambient geophysical variables could be used as an indicator of expected performance? � If so, can optimum performance windows be identified? (U) The structure of the program to investigate the above issues consists of � A literature search � Real-time ELF measurements SRI International (Menlo Park, California location) Time Research Institute (Los Altos, California field station). Real-time geophysical data acquisition via the National Oceanic and Atmospheric Administration (NOAA) Westar IV satellite downlink. Computer correlation studies of RV performance versus variables of interest. (U) In this report, we present findings from our over-six-year analysis of scored RV sessions--as they relate to geophysical environmental (U) References are listed at the end of this report. 3 Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED Table 1 (U) GEOPHYSICAL DATA BASES � Solar terrestrial - Geomagnetic--ground-measured indices A, sum of K, C , C9 P P - Solar flux (MHz): 15,400, 8,800, 4,995, 2,800, 2,695, 1,415, 606, 410, 245 - Sunspot number - Solar flares � Ionospheric measurements - Sudden ionospheric disturbances (SID) - Sudden enhancements of signal strength (SES) � ULF/ELF - 19 frequencies (from 1 to 30 Hz) UNCLASSIFIED B. (U) Report Organization (U) The remainder of this report is organized to include: Method of Approach (Section IV), Results (V), Evaluation and Recommendations (vi), and Summary (VII). The Method of Approach section contains descriptions of the project tasks, which include Time Research Institute's data acqui- sition systems, other sources of geophysical data acquisition, lists of geophysical data that have been analyzed, and the analysis technique employed. The Results section contains the findings from the comparisons of both the ELF data sets among themselves, and the comparisons of RV performance data with the ELF and other geophysical data. The Evaluation and Recommendations section summarizes the findings and possible applica- tions of our research, and identifies areas where further investigation is needed. The Summary section summarizes the overall effort and its impli- cations with regard to RV performance enhancement and countermeasures development. 6 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED III INTRODUCTION (U) A. (U) General (U) In order to accomplish the goals listed in the Executive Summary, this program was designed to be a joint effort between SRI International and Time Research Institute (TRI) of Los Altos, California, with SRI as the prime contractor. Time Research Institute is a research organization that specializes in temporal analysis of geophysical variables and their potential correlation with phenomena of interest, such as weather patterns, earth- quakes, and the like. (U) Time Research Institute was responsible for establishing the appropriate hardware and software systems for collecting and analyzing data on environmental conditions and their correlation with RV performance. The purpose of the correlation study was to determine whether RV performance is enhanced or degraded by measurable changes occurring in the geophysical (including solar-terrestrial) environments. The specific geophysical data bases examined in this effort are given in Table 1. (U) Should correlations between geophysical variables and RV per- formance be rigorously established over time, the application potential of the effort is twofold: � Time periods in which enhanced RV performance might be expected could be identified, resulting in increased quality and accuracy of information obtained through such channels; similarly, time periods in which degraded RV performance might be expected could be avoided. Thus, optimum performance windows would be identified. An increased understanding of the types of environmental changes that correlate with RV performance could provide clues as to the mechanisms involved in RV functioning. Such knowledge would lead to a more focussed research on factors that could enhance RV performance, and would also provide information critical to the development of defensive countermeasures against RV. 5 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED IV METHOD OF APPROACH (U) A. (U) Literature Search (U) A literature search into the areas of known effects of static and low-frequency magnetic and electric fields on biological processes was carried out. Much of the literature available in the ELF range dealt with the effects (or lack thereof) of 60-Hz fields. Papers were sought that described both the gross effects of these fields and the mechanisms by which they could affect biological organisms. Some reports describing higher electromagnetic frequencies (e.g., microwave) were also included for their inferential value. (A bibliography appears as an appendix to this report.) B. (U) Data Acquisition 1. (U) ELF Measurements a (U) Introduction (U) Although the ELF range (3 to 300 Hz) has been studied in some detail, many unknowns remain. Although it is known that extremely- low frequencies generated by geophysical means (e.g., electrical-storm activity) tend to distribute themselves globally, little information is available on the variation of the ELF environment from location to loca- tion. Therefore, local variations may exist that are caused by both man- made sources, and by the geological structure of the area. In the San Francisco Bay Area, man-made sources that generate ELF on a local scale include motors, telephone lines, power lines, and electrical subways [Bay Area Rapid Transit (BART)]; it needed to be determined whether the emission from such sources constitutes a significant contribution to the omnipresent global ELF field. (U) In order to address the above issue, two ELF monitoring stations were set up--one at SRI Menlo Park (the RV laboratory), the other 7 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED (U) at the TRI field station, 17 km distant. It was anticipated that the SRI environment might be an electrically "noisy" one due to the large amount of electrical and electronics activity in the area--a hypothesis that was verified. With the requirement that two ELF monitoring sites be implemented for the program, it was decided that the two systems would be made identical. In this way, differences between the systems would be minimized, thus reducing the opportunity for artifactual differences between the outputs. Los Altos Site (TRI) (U) Since May 1982, TRI has been operating a prototype ELF monitoring site in Los Altos, where data have been collected twice daily for the purpose of correlating ELF disturbances against various phenomena of interest. In this period, analysis techniques were developed that were directly applicable to the present task. (U) One of the first tasks was the upgrading of the Los Altos ELF monitoring site to provide coverage during power interrupts. Details of this effort can be found in an interim report prepared by SRI International.' (U) The second task was the development of an upgraded high- data-rate ELF system (in duplicate) to be installed at the TRI and the SRI sites. Figure 1 is a block diagram of the basic upgraded ELF data-rate ELF system (in duplicate) to be installed at the TRI and the SRI sites. Figure 1 is a block diagram of the basic upgraded ELF data-acquisition system. The ELF signal is collected by an antenna, amplified, and then digitized by an analog-to-digital (A/D) converter so that the signal can be input into a computer for the purpose of analysis. (U) The antenna is a "bioantenna" (a Live Oak tree). This procedure was based on one recommended by the Radioscience Laboratory at Stanford University. The detected signal is the voltage measured across a pair of electrodes implanted vertically approximately six feet apart along the lower tree trunk. A full description of the method is given in Reference 6, a reprint of which is included in the interim report mentioned above. 8 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED ELF INPUT DATA A-TO-D CONVERTER COMPUTER: IBM PC JR. FFT HALF- HOURLY DATA INCREASES SIGNAL STRENGTH MAKES SIGNAL READABLE BY COMPUTER DETERMINES INTENSITY OF SIGNAL FREQUENCY COMPONENTS FLOPPY DISKETTES TRANSPORTED TO IBM XT COMPUTER FIGURE 1 (U) ELF DATA-ACQUISITION SYSTEM (U) The system is configured around an IBM PC jr. micro- processor, which is not only cost-effective, but is compatible with an IBM XT computer where much of the ELF analysis is done. Data transfer and reduction is simple; floppy diskettes are transferable from one computer to the other. (U) Software has been developed for the IBM PC jr. that reads input data from the A/D converter, performs a fast-Fourier transform (FFT), then outputs seven data files of 19 frequencies each to a floppy diskette. The system operates on universal time (UT), writing records of the means and standard deviations of 19 frequencies in the 1-to-30-Hz range--each half hour, half-UT day, UT day, and half Pacific-time day. This system is far superior in speed and accuracy to the prototype system. In the upgraded system, approximately 318 ELF samples are recorded each half hour. By comparison, the prototype ELF system sampled and processed 9 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED (U) the ELF environment only 20 times in an equivalent period, for a total of about 420 samples in an entire day. (U) The overall system calibration is as follows. A com- bined amplification of the signal is 1000X; the signal is amplified 10X in a preamplifier located at the antenna, and 100X in a main amplifier. This presents a maximum 5-V peak-to-peak signal at the A/D converter. The A/D converter operates on an input voltage in the range of 0 to 5.12 V. The output digital value is in the range of 0 to 256. Thus, each count on the digital output represents 20 mV at the input. The FFT algorithm converts the digital sample inputs into coefficients that are proportional to this input. A value of 100 counts at the frequency 1.6 Hz, for example, would be interpreted as indicating that the 1.6-Hz component of the measured signal has a voltage amplitude of 2 V at input to the A/D converter. The input signal having been amplified 1000X, this represents a 2-mV component at the antenna input. (U) Further details concerning measurement and calibration, including special requirements in amplifier design, isolation circuit diagrams, and so forth, are available in the TRI subcontractor final report to SRI International.' (U) The first new ELF data acquisition began five months after the start of the TRI subcontract with SRI International. TRI was able to initiate the first generation of the upgraded system in only five months in spite of delays in ordering specialized components for the new systems, and delays in the fabrication of the circuitry of the systems themselves. Further delays were experienced in ordering additional specialized components and in fabrication of a needed second-generation preamplifier. Final data acquisition was begun seven months after initia- tion of the subcontract. (U) SRI Site (U) The SRI ELF system was implemented after extensive testing of the upgraded system at Los Altos. A second-generation 10 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED (U) preamplifier/amplifier was installed in August 1984. Some differences were immediately seen between the SRI and the TRI Los Altos stations. The dc output of the oak tree that was selected to be the ELF antenna at SRI was twice the level of the oak at Los Altos. It is a larger tree, and its dc potential with equivalent electrode spacing (300 mV) was twice that of the Los Altos site. This caused the amplified dc measurement component to exceed the limits of the A/D converter. Hence, no dc measurements are presently being made at the SRI site. (U) As expected, the SRI location was found to be in an electrically-noisier area than the Los Altos station. The 60-Hz signal from power lines (and the like) at SRI was strong enough to approach the limits signal exceed system of the A/D converter when the amplification was adequate for ELF detection. The system software has been designed to omit data that the A/D converter limits, then record the fact. To date, the has exceeded. operated successfully without There was a concern, however, losing data because limits were that some large-amplitude ELF anomalies could cause the limits of the amplifier and the A/D converter to be exceeded, in which case data would be lost. A third-generation preamplifier has been designed, which contains the attributes of previous preamplifiers, but, a 60-Hz filter has been specially designed and added to the circuitry. This enables greater amplification of the ELF components of the signal without risk of exceeding the input limits to the A/D con- verter. The third-generation preamplifier is presently being fabricated and will be used in follow-on work. 2. (U) Satellite Downlink Geophysical Data-Acquisition System (U) A near-real time satellite downlink system for solar- terrestrial data has recently become available from the National Oceanic and Atmospheric Administration (NOAA). With this unit, it is possible to provide immediate feedback and/or analysis in conjunction with RV sessions. (Normally, there are long delays in procuring solar-terrestrial data; without the downlink, delays of 10 days to 6 months are standard.) 11 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED (u) By means of software developed at TRI, the downlink system provides for accumulation of a detailed data base directly on computer diskettes. (U) A satellite controller and a disk antenna for the downlink system were ordered and installed at the Los Altos site early in the project. The downlink system is configured around an IBM PC jr. micro- processor, as shown in Figure 2. Data transfer is accomplished by means ANTENNA [CONTROLLER [ IBM PC JR. DATA DISKETTE [ MM XT COMPUTER 4 1 BURROUGHS 6925 COMPUTER FIGURE 2 (U) REAL-TIME GEOPHYSICAL DATA ACQUISTION VIA WESTAR IV DOWNLINK (U) The format of the NO AA downlink is oriented toward text transmission, and is not well suited to data-base acquisition. Software for recording the data is not provided by NOAA. 12 UNCLASSIFIED Approved for Release. 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED LOS ALTOS STATION WESTAR IV DOWNLINK IBM PC JR. No. 1 DATA DISKETTE ELF DATA IBM PC JR. No. 2 DATA DISKETTE IBM XT COMPUTER SRI STATION ELF DATA IBM PC JR. No. 3 DATA DISKETTE A V BURROUGHS 6925 COMPUTER FIGURE 3 (U) REAL-TIME GEOPHYSICAL DATA-ACQUISITION SYSTEM (U) Burroughs 6925 computer for use in that analysis requiring high-speed or large memory capacity. 4. (U) Magnetic Data Tapes from NOAA (U) In addition to the above data collection from ELF and down- link systems, archived solar-geophysical data of interest were selected. Two criteria in this selection were used: first, the theoretical likelihood the data might correlate with RV performance, and second, its availability-- based on appearance in the regularly published NOAA bulletin "Solar- Geophysical Data Prompt Reports." The data were ordered from the National Environmental Satellite Data and Information Service at the National Geo- physical Data Center in Boulder, Colorado. Of 12 data sets requested, only 7 could be supplied; several of the data sets, although published in the "Solar-Geophysical Data Prompt Reports," were not available on magnetic tape. 14 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED (U) similar to that of the ELF system; that is, by transport of floppy diskettes from the downlink computer to the larger IBM XT analysis computer. (U) The geophysical data downlink began data acquisition in the third month of the TRI subcontract. The initial data were in the form of a direct recording, which was received from the satellite, on to com- puter diskettes. The intent was to acquire as long a data base as possible by acquiring raw data at the same time we were developing the software to reduce it. The kernel around which the software was written was a BASIC program from NOAA. The original NOAA software supplied the text data (received from the downlink) in the form of tabular summaries on a monitor. This software did not have the capability to store or record data to any medium. TRI made extensive modifications so that the numerical data could be stored onto computer diskettes for inclusion into a data base. The software is capable of averaging and storing about 20 geophysical variables at multiples of five-min intervals (e.g., 10- or 25-min averages), which were defined at the time the program was run. It writes six separate data files to the diskette. (U) Initially, the program was set to average and write the data at five-min intervals. After a few months of operation, it was found that the disk drive of the PC jr. tended to fail with such frequent operation. The time-averaging span was changed to half-hourly intervals to save wear on the disk drive. This is the same time increment used for the ELF data. The two systems now operate in synchronization. 3. (U) Data-Acquisition System (U) The three systems described above (the Los Altos and the SRI ELF stations, and the Geophysical Data downlink), operate in concert, forming the Geophysical Data-Acquisition System. Figure 3 shows the system components and their relationship to one another. Three IBM PC jrs. operate 24 hours a day collecting ELF and downlink solar-terrestrial data. Data from these microcomputers are processed in the IBM XT to form con- tinuous data bases. Copies of these data bases are sent to the 13 UNCLASSIFIED Approved for Release: 2017/09/11 CO2574264 Approved for Release: 2017/09/11 CO2574264 UNCLASSIFIED C. (U) Data Analysis 1. (U) Integrated Data-Analysis System (U) Statistical analyses are performed on the data bases described above, preferably on the IBM XT for cost effectiveness. Figure 4 shows the Geophysical Data/Performance Analysis System. Data from all direct geophysical sources are input into the IBM XT, where they are preprocessed into continuous data bases stored on floppy diskettes. Some data extractions are also performed at this time. The data bases and the extracted data are read into the Burroughs 6925 computer. The data tapes from NOAA are also read directly into the Burroughs computer. The NOAA data files are long (16,000 records per year is common), and require the high speed of the mainframe computer (and our existing software residing there) to correct, process, and extract the geophysical data in usable form. NOAA data were further processed to extract subsets of data of