<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model Services | Peilong Ma</title><link>https://mplebron.github.io/tags/model-services/</link><atom:link href="https://mplebron.github.io/tags/model-services/index.xml" rel="self" type="application/rss+xml"/><description>Model Services</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://mplebron.github.io/media/icon_hu68170e94a17a2a43d6dcb45cf0e8e589_3079_512x512_fill_lanczos_center_3.png</url><title>Model Services</title><link>https://mplebron.github.io/tags/model-services/</link></image><item><title>Facilitating sensitivity analysis of hydrological models through knowledge-driven configuration and distributed online model services</title><link>https://mplebron.github.io/publication/hydrological-sensitivity-analysis/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://mplebron.github.io/publication/hydrological-sensitivity-analysis/</guid><description>&lt;p>This work studies how configuration knowledge and service-oriented model execution can be combined to support more efficient sensitivity analysis for hydrological models.&lt;/p></description></item><item><title>Knowledge- and model service-based sensitivity analysis for hydrological modeling</title><link>https://mplebron.github.io/event/hydrological-sensitivity-2025/</link><pubDate>Tue, 01 Apr 2025 09:00:00 +0800</pubDate><guid>https://mplebron.github.io/event/hydrological-sensitivity-2025/</guid><description>&lt;p>Presented in Hangzhou in April 2025 as an early exploration of intelligent geographic modeling.&lt;/p></description></item></channel></rss>