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Central Region Snowfall Analysis Brian P. Walawender NWS Central Region Headquarters Matt W. Davis NWS WFO La Crosse, WI 5/26/2011

Central Region Snowfall Analysis

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Central Region Snowfall Analysis. Brian P. Walawender NWS Central Region Headquarters Matt W. Davis NWS WFO La Crosse, WI 5/26/2011. History. In the early 2000’s, NWS offices began creating precipitation analysis graphics for display on their web pages. - PowerPoint PPT Presentation

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Page 1: Central Region Snowfall Analysis

Central Region Snowfall Analysis

Brian P. WalawenderNWS Central Region Headquarters

Matt W. DavisNWS WFO La Crosse, WI

5/26/2011

Page 2: Central Region Snowfall Analysis

History

• In the early 2000’s, NWS offices began creating precipitation analysis graphics for display on their web pages.

• Two primary software packages were utilized for the creation of the graphics– ArcMap– GFE

• Both software packages interpolated the random points into a graphical analysis

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Page 3: Central Region Snowfall Analysis

Weaknesses of Previous Methods

• Manually created, via a multistep process, on a non routine basis

• Typically restricted to the local forecast area, requiring the user to view several graphics to see the big picture

• Color and contour intervals typically varied from office to office, leading to confusion when viewing graphics from multiple offices.

• No ability to zoom the graphics or add/remove layers

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Page 4: Central Region Snowfall Analysis

Central Region Prototype

• Collaborative effort between NWS Central Region Headquarters and WFO La Crosse, WI.

• Key Requirements– Use commonly available to Open Source GIS

tools– Automated– Output can be zoomed and panned– Consistent colors and contour intervals

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Page 5: Central Region Snowfall Analysis

Open Source Tools Utilized

• Postgresql/PostGIS database – allows for the storing of a geometry object (latitude and longitude in our case) with any database entry

• GDAL - Geospatial Data Abstraction Library– Used perform the interpolation of the raw data into

the output analysis graphic– Used perform the contour analysis from the output

image– Used to create the multiday analysis products

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Page 6: Central Region Snowfall Analysis

Open Source Tools Utilized

• Mapserver – web mapping server used to serve out the raster and shapefile output products

• OpenLayers – web mapping API– Similar to Google Maps– Allows for adding interactive maps to web pages

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Page 7: Central Region Snowfall Analysis

Dataflow

• Input data of consists of:– NWS Cooperative Observer Reports– Community Collaborative Rain, Hail and Snow

Network (CoCoRaHS) reports• Typical Analysis will consist of about 7500

observations• NWS Local Storm Reports (LSR) were purposely

left out because of time range concerns– LSR reports currently contain no start, stop or duration

information (yet)

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Page 8: Central Region Snowfall Analysis

Dataflow

• Reports are received via LDM from MADIS and NOAAport

• Reports are decoded and databased in realtime – Database can hold several months of data

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Page 9: Central Region Snowfall Analysis

Data Analysis

• The scattered point to grid analysis is done via an inverse distance weighted interpolation scheme.– Grid box is a moving1.8 degs, requiring three

observations. Inverse power is 6, and output is smooth very slightly at 0.2.

• Output is a georeferenced tagged image file format (GeoTIFF)– 2000 x 2000 GeoTIFF covering CONUS.

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Page 10: Central Region Snowfall Analysis

Data Analysis

• To increase the display performance, the large GeoTIFF is converted into polygon shapefile via GDAL

• The conversion into the polygon shapefile bins the analysis into the standard contour intervals

• The analysis is run every 30 minutes from 12 UTC until 20 UTC to continuously update the analysis

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Page 11: Central Region Snowfall Analysis

Multiday Products

• Multiday products pose a challenge since there is dilemma on whether or not to include stations that do not report each day of the reporting period– Example – a station reports three days over a four

day period – do you use it in a four day analysis• To avoid this concern, the multiday products

are created by summing the output analysis for each day in the period, instead of the raw data.

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Page 12: Central Region Snowfall Analysis

Quality Control

• An internal web interface allows offices to quality control the analysis

• The interface allows the forecaster to flag stations with questionable data, causing them to be removed from the analysis

• The analysis is automatically run twice per hour, including new observations, and removing those which were quality controlled.

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Page 13: Central Region Snowfall Analysis

Web Display

• The final analysis products are displayed on the web page via an interactive map

• The interactive map can be panned and zoomed

• The interactive map has multiple layers that can be toggled on and off

• The map includes output for the last 24, 48 and 72 hours

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Page 14: Central Region Snowfall Analysis

Web Display

• The snowfall analysis can be viewed at:– http://www.srh.noaa.gov/ridge2/snow/index.php

• Note this URL may change for the 2011/2012 snow season

• Future enhancements will included increased resolution, and more observations (Snotel, etc.)

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Page 15: Central Region Snowfall Analysis

Customer Response

• Customer Survey ran from Jan 10th until April 30th, 2011– 300 responses– 180 users rated the technical quality of the product

as a nine or higher (out of ten)– 207 users rated the ease of use as a nine or

higher

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Page 16: Central Region Snowfall Analysis

Examples

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Page 17: Central Region Snowfall Analysis

Examples

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Page 18: Central Region Snowfall Analysis

Examples

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Page 19: Central Region Snowfall Analysis

Authors

• Matt W. Davis– La Crosse, WI Weather Forecast Office– N2788 County Road FA– LaCrosse, WI 54601– [email protected]

• Brian P. Walawender– Central Region Headquarters Regional Office– 7220 NW 101st Terrace– Kansas City, MO 64153– [email protected]

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Page 20: Central Region Snowfall Analysis

QUESTIONS?

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