1. Office of Enterprise Technology Visualization of Historic Rainfall
September 23, 2015
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Presented By:
Justin W. Conklin, Database Administrator
OET Vision: To be recognized as a first-class technology organization by the customers we serve.

2. Background
Flood Control District of Maricopa County Flood Warning Branch ALERT Map.
313 Rain Gages throughout Maricopa County and beyond logging rainfall totals in near real time.
Historic data from 1980 to present
Google Maps application to visualize data.
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3. The Problem
Google Maps is very good for viewing simple data, getting directions, etc.
Lack powerful analytical capabilities of Esri software and programming APIs.
How to effectively visualize 35 years worth of rainfall data.
How to leverage the spatial analysis and geoprocessing capabilities of Esri and make the final product interoperable with the Google Maps application.
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4. The Solution (server side)
Geoprocessing Service (Python)
Query NovoStar 5 database, download comma delimited values (php)
Create X, Y event Layer
Interpolate points (Natural Neighbor)
Export to .png
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5. The Solution (server side)
for line in urllib2.urlopen(" + Month + "&DE=" + Day + "&YE=" + Year + "&TE=" + TimeEnd + "&TS=" + TimeStart):
if not "<" in line and not ":" in line and not "----" in line:
RainRaw.write(line)
RainRaw.close
result = arcpy.MakeXYEventLayer_management("\\\\fcdsgis.flood.maricopa.gov\\GISWork\\jwc\\InterpolateRainfall\\RainRaw.txt", "Xcoord", "Ycoord", "RainPoints", sr)
result = arcpy.NaturalNeighbor_3d("\\\\fcdsgis\\giswork\\jwc\\InterpolateRainfall\\InterpolatedRainfall.gdb\\Gauges", "RainTotal", "\\\\fcdsgis\\giswork\\jwc\\InterpolateRainfall\\InterpolatedRainfall.gdb\\RainRaster", " ")
result = arcpy.mapping.ExportToPNG(map_document = mxd, out_png = r"\\fcdsarcgis04\arcgisserver\directories\arcgisjobs\flood\interpolaterain_gpserver\Rain.png", transparent_color = "255, 255, 255")
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6. The Solution (client side)
JavaScript
Call Geoprocessing task with user supplied parameters
Add overlay to map
<script src="
var gpURL = "
var gp = new Geoprocessor(gpURL);
dom.byId(“rainButton").onclick = executeGP;
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7. The Solution (client side)
function executeGP() {
var params = { "Month":document.getElementById("ME").value, "Day":document.getElementById("DE").value, "Year":document.getElementById("YE").value, "TimeEnd":document.getElementById("TE").value, "TimeStart":document.getElementById("TS").value };
gp.submitJob(params, completeCallback);
function completeCallback(jobInfo) {
var JobID = jobInfo.jobId;
var pngURL = " + Math.floor((Math.random() * 100) )
initialize(pngURL);
function initialize(RainLayer) {
rainOverlay = new google.maps.GroundOverlay(RainLayer, imageBounds);
rainOverlay.setMap(map);
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8. Demonstration http://alert.fcd.maricopa.gov/alert/Google/v3/gmap.html
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9. Anthem Storm - July 31, 2012 Interpolated Surface Point Data
Storm Report:
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10. South Mountain Storm- August 12, 2014
Storm Report:
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11. August 19, 2014
Storm Report:
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12. Wickenburg Storm - July 18, 2015
1 Hour Rainfall Totals 5pm – 6pm
Storm Report:
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13. Conclusion
ArcMap API for JavaScript and Google Maps API working together.
Leverages analytical capabilities of ArcGIS.
Effectively visualize 35 years of rainfall data.
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14. Questions? http://fcd.maricopa.gov
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15. Flash Flood Potential Quantitative Precipitation Forecast (QPF)
Assigns a value 0-4 for each forecast zone
Updated every hour
Python script
Read in text values from ffp.txt
Update forecast zone feature class
Export to .kml
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16. Flash Flood Potential
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17. Flood Warning Messages
Using GovDelivery
Subscription based
ASP.NET input
Update feature class
Export to kml
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