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Project Description:

The goal of this GIS project is to produce distribution maps of average maximum daily temperature achieved for 3, 4, and 5 consecutive days in the San Joaquin Valley to be used for mitigation decisions. These temperature threshold maps are provided in an interactive website with other important map layers such as roads, Township, Range and Section lines, field boundaries, and locations of olive orchards so that growers and researchers can navigate to an area of interest. Once a specific area is viewed, the underlying climate map symbology indicates the potential in the last ten years for high temperatures to be reach for several consecutive days, thereby likely causing olive fly death. Further, the last five days of maximum temperature from the CIMIS network are provided for each station and these values can be viewed by clicking on a neighboring CIMIS station point. It is proposed that providing maps of the climatic probability of high max. temperature for several days in a row, and the last several days of real-time high temperature values, a grower can make a decision about applying chemical abatement or not.

Project Description
The goal of this GIS project is to produce distribution maps of average maximum daily temperature achieved for 3, 4, and 5 consecutive days in the San Joaquin Valley to be used for mitigation decisions.
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Mapping Climate Thresholds
The source data consisted of signed 16-bit raster (gridded) data of daily maximum temperature for the State of California. The raster data was interpolated from specific point data by ZedX, Inc. using their proprietary methods. The dates of the data ranged from 1 January 1992 through 29 April 2002, inclusive.
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Providing CIMIS Data
The layers for the map are served dynamically by Microsoft SQL Server based on the user's interactions with the map. The previous five days of CIMIS temperature data are downloaded automatically...
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Methods & Research
Using Climate Maps in Olive Fly Management Decisions
  • The Problem: The olive fly in California
  • History, biology
  • Current management options, shortfalls
  • Searching for solutions: Climatic clues
  • Observations from the field
  • Testing ideas in the laboratory
  • First steps toward using GIS in olive fly management decisions.
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