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index.xml
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index.xml
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<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
<channel>
<title>Anqi Ma</title>
<link>http://maanqi4.github.io/</link>
<description>Recent content on Anqi Ma</description>
<image>
<title>Anqi Ma</title>
<url>http://maanqi4.github.io/papermod-cover.png</url>
<link>http://maanqi4.github.io/papermod-cover.png</link>
</image>
<generator>Hugo -- gohugo.io</generator>
<language>en-us</language>
<lastBuildDate>Mon, 27 Mar 2023 00:00:00 +0000</lastBuildDate><atom:link href="http://maanqi4.github.io/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>[Demo] A Benchmark for Data-Driven Climate Projections</title>
<link>http://maanqi4.github.io/posts/climatebench/</link>
<pubDate>Mon, 27 Mar 2023 00:00:00 +0000</pubDate>
<guid>http://maanqi4.github.io/posts/climatebench/</guid>
<description>Analytic Demo</description>
</item>
<item>
<title>Work with Canadian Census data</title>
<link>http://maanqi4.github.io/posts/cancensus/</link>
<pubDate>Wed, 15 Mar 2023 00:00:00 +0000</pubDate>
<guid>http://maanqi4.github.io/posts/cancensus/</guid>
<description>This is a course assignment demo (GG606 Scientific Data Wrangling)
cancensus is a R package that can assess Statistics Canada Census data for Census year 1996, 2001, 2006, 2011, 2016 and 2021. The datasets present information from the Census of Population for various levels of geography, including provinces and territories, census metropolitan areas, communities and census tracts.
1. Installation and retrieve the data vectors list (API key required) install.</description>
</item>
<item>
<title>Earthquakes data analysis demo</title>
<link>http://maanqi4.github.io/posts/earthquakes/</link>
<pubDate>Fri, 03 Mar 2023 00:00:00 +0000</pubDate>
<guid>http://maanqi4.github.io/posts/earthquakes/</guid>
<description>This is a course assignment for analyze and visualize earthquake data
1. Read the data in and clean it for analysis, used the readr package functions for reading and parsing data. [5 marks] My answer is written here and is explains what I did and why.
#code library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.4.0 ✔ purrr 1.0.0 ## ✔ tibble 3.</description>
</item>
<item>
<title>Generate Short/Long Perturbed Parameter Ensembles (PPE) with CESM</title>
<link>http://maanqi4.github.io/posts/short-long-experiment-outline/</link>
<pubDate>Thu, 13 Oct 2022 00:00:00 +0000</pubDate>
<guid>http://maanqi4.github.io/posts/short-long-experiment-outline/</guid>
<description>1. Main Settings Experiment name: f.e12.FAMIPCN.f19_f19
f f compset;
“F” compsets use CAM,CLM, CICE(prescribed-thermo), DOCN(prescribed-SST). e12 cesm1.2.2 (model version) FAMIPCN AMIP run for CMIP5 protocol with CLM/CN:
AMIP_CAM4_CLM40%CN_CICE%PRES_DOCN%DOM_RTM_SGLC_SWAV
AMIP: time, AMIP runs
CAM4: atmosphere model CAM4
CLM40: land model, clm4.0
CN (carbon-nitrogen) model version: a biogeochemistry model that simulates the carbon and nitrogen cycles
CICE%PRES: prescribed sea ice
DOCN%DOM: DOCN data ocean mode
RTM: river transport model, land river runoff</description>
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</rss>