We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Tuning Open Source GIS Tools to Support Weather Data / Rapidly Changing Rasters

Formal Metadata

Title
Tuning Open Source GIS Tools to Support Weather Data / Rapidly Changing Rasters
Title of Series
Number of Parts
188
Author
License
CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date2014
LanguageEnglish
Producer
Production Year2014
Production PlacePortland, Oregon, United States of America

Content Metadata

Subject Area
Genre
Abstract
The National Weather Service is developing several geospatial forecast visualization and analysis tools. The back end data store and WMS server is built on Open Source GIS tools: GDAL, PostGIS / Raster, Mapserver, and Mapcache.Weather forecasts are in a constant state of flux. In the case of the National Digital Forecast Database, forecasts expire or are superseded every hour. This presents several challenges when it comes to managing forecast rasters with GIS tools, and delivering the most up-to-date, real-time forecasts with an acceptable level of performance. This presentation will examine the methods and practices we've used to optimize our data store performance, from data ingest to forecast analysis to image delivery.* Using PostgreSQL Inheritance / Parent and Child tables to manage raster updates inside the database* Managing an up-to-date image cache in Mapcache and Memcached, with rapidly changing source data.* Optimizing PostGIS raster tiles and Mapserver DATA queries for faster image generation and display over Google Maps* Future work: Expanding PostgreSQL Inheritance to work with raster overviews
Keywords