edits to CCISS documentation

bcgov · Dec 10, 2024 · e30af2c · e30af2c
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diff --git a/instructions-raw/3b_BEC.html b/instructions-raw/3b_BEC.html
diff --git a/instructions-raw/3e_BGCmodel.html b/instructions-raw/3e_BGCmodel.html
@@ -81,7 +81,9 @@ <h4>The CCISS BGC model</h4>
 balanced set of training points for the BGC units of western North
 America. The climate predictors in this model are a set of seasonal
 bioclimate variables selected for low correlation, ecological relevance,
-and predictive importance.</p>
+and predictive importance. Biogeoclimatic modeling methods are a current
+focus of the CCISS team and the biogeoclimatic model is expected to
+evolve over the next year.</p>
 </div>
 <div id="overview-of-bgc-projection-trends" class="section level4">
 <h4>Overview of BGC projection trends</h4>

diff --git a/instructions-raw/3g_Rulesets.html b/instructions-raw/3g_Rulesets.html
@@ -0,0 +1,70 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+
+
+
+<title>3g_Rulesets.knit</title>
+
+<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
+</script>
+
+<style type="text/css">
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+span.underline{text-decoration: underline;}
+div.column{display: inline-block; vertical-align: top; width: 50%;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+.display.math{display: block; text-align: center; margin: 0.5rem auto;}
+</style>
+
+
+
+
+
+
+
+
+
+
+
+</head>
+
+<body>
+
+
+
+
+
+
+
+<p>Under construction</p>
+
+
+
+<!-- code folding -->
+
+
+
+</body>
+</html>
diff --git a/instructions-raw/6a_ProvidingFeedback.Rmd b/instructions-raw/6a_ProvidingFeedback.Rmd
@@ -12,4 +12,6 @@ editor_options:
 
 ### Providing Feedback
 
-Under construction
+We welcome any feedback about the CCISS tool. 
+
+Email us at ffec@gov.bc.ca or create a github issue at https://github.com/bcgov/CCISS_Review/issues.
diff --git a/instructions-raw/6a_ProvidingFeedback.html b/instructions-raw/6a_ProvidingFeedback.html
@@ -60,7 +60,8 @@
 
 <div id="providing-feedback" class="section level3">
 <h3>Providing Feedback</h3>
-<p>Under construction</p>
+<p>We welcome any feedback about the CCISS tool.</p>
+<p>Email us at <a href="mailto:ffec@gov.bc.ca" class="email">ffec@gov.bc.ca</a> or create a github issue at <a href="https://github.com/bcgov/CCISS_Review/issues" class="uri">https://github.com/bcgov/CCISS_Review/issues</a>.</p>
 </div>
 
 

diff --git a/instructions-raw/7a_FAQs.Rmd b/instructions-raw/7a_FAQs.Rmd
@@ -16,4 +16,4 @@ editor_options:
 
 The historical climate is one observation of many possible climate states that could have occurred due to the internal variability (weather) of the Earth’s climate system. Differences between the ensemble mean projection and the observed climate are not necessarily a contradiction; like climate vs. weather, the ensemble mean is the expectation and the observed climate is what actually happened. 
 
-However, if the observed climate is completely outside the range of the individual model runs, this is a problem. There are two major reasons why this could occur: (1) the model ensemble is failing to capture some aspect of regional climate dynamics; or (2) the observations themselves are biased due to errors in the station observations. Both of these potential sources of error are an active area of research by the CCISS team.
+However, if the observed climate is completely outside the range of the individual model runs, this is a problem. There are two major reasons why this could occur: (1) the downscaled model ensemble is failing to capture some aspect of regional climate dynamics; or (2) the observations themselves are biased due to errors in the station observations or in the gridded interpolation between stations. Both of these potential sources of error are an active area of research by the CCISS team.
diff --git a/instructions-raw/7a_FAQs.html b/instructions-raw/7a_FAQs.html
@@ -71,11 +71,12 @@ <h3>Frequently Asked Questions</h3>
 expectation and the observed climate is what actually happened.</p>
 <p>However, if the observed climate is completely outside the range of
 the individual model runs, this is a problem. There are two major
-reasons why this could occur: (1) the model ensemble is failing to
-capture some aspect of regional climate dynamics; or (2) the
+reasons why this could occur: (1) the downscaled model ensemble is
+failing to capture some aspect of regional climate dynamics; or (2) the
 observations themselves are biased due to errors in the station
-observations. Both of these potential sources of error are an active
-area of research by the CCISS team.</p>
+observations or in the gridded interpolation between stations. Both of
+these potential sources of error are an active area of research by the
+CCISS team.</p>
 </div>
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Expand Up		@@ -16,4 +16,4 @@ editor_options:

		The historical climate is one observation of many possible climate states that could have occurred due to the internal variability (weather) of the Earth’s climate system. Differences between the ensemble mean projection and the observed climate are not necessarily a contradiction; like climate vs. weather, the ensemble mean is the expectation and the observed climate is what actually happened.

		However, if the observed climate is completely outside the range of the individual model runs, this is a problem. There are two major reasons why this could occur: (1) the model ensemble is failing to capture some aspect of regional climate dynamics; or (2) the observations themselves are biased due to errors in the station observations. Both of these potential sources of error are an active area of research by the CCISS team.
		However, if the observed climate is completely outside the range of the individual model runs, this is a problem. There are two major reasons why this could occur: (1) the downscaled model ensemble is failing to capture some aspect of regional climate dynamics; or (2) the observations themselves are biased due to errors in the station observations or in the gridded interpolation between stations. Both of these potential sources of error are an active area of research by the CCISS team.