format

posts/climate-trace-release.md

@@ -20,7 +20,8 @@ For the initial release of the Climate TRACE platform we used established method
 <Figure>
   <Map />
   <FigureCaption>
-    Cumulative emissions from forests (2001 - 2020). Pixels are 1º x 1º. Open the{' '}
+    Cumulative emissions from forests (2001 - 2020). Pixels are 1º x 1º. Open
+    the{' '}
     <Link
       sx={{
         color: 'secondary',

posts/open-lidar-biomass.md

@@ -25,22 +25,22 @@ Recently, [Harris et al. (2021)](https://doi.org/10.1038/s41558-020-00976-6) syn
 <Figure>
   <Chart />
   <FigureCaption number={1}>
-    Example LiDAR return signal, which could result in two different tree heights
-    depending on the choice of methods. The y-axis represents distance from the
-    satellite where the LiDAR instrument is located. A higher value (lower
-    position) on the y-axis indicates a distance farther from the satellite, and
-    thus closer to the center of earth. (Note that for simplicity we show the top
-    of the y-axis as 0. The actual distance from the satellite can be calculated
-    by adding ~600,000 meters). A higher value on the x-axis indicates a larger
-    return signal strength at that distance, implying high reflection and more
-    tree surface area at that height. The raw LiDAR return data are plotted in
-    dark gray dots and a fitted smooth curve is plotted in white. In this example,
-    using either of the two definitions of ground peak lead to different
-    calculated magnitudes of <i>Max Vegetation Height</i> (25% less when using
-    alternative ground peak in this example). In general, allometric equations
-    relying on <i>Max Vegetation Height</i> as an input would estimate higher
-    biomass (if using the yellow ground peak) or lower biomass (if using the pink
-    alternative ground peak).{' '}
+    Example LiDAR return signal, which could result in two different tree
+    heights depending on the choice of methods. The y-axis represents distance
+    from the satellite where the LiDAR instrument is located. A higher value
+    (lower position) on the y-axis indicates a distance farther from the
+    satellite, and thus closer to the center of earth. (Note that for simplicity
+    we show the top of the y-axis as 0. The actual distance from the satellite
+    can be calculated by adding ~600,000 meters). A higher value on the x-axis
+    indicates a larger return signal strength at that distance, implying high
+    reflection and more tree surface area at that height. The raw LiDAR return
+    data are plotted in dark gray dots and a fitted smooth curve is plotted in
+    white. In this example, using either of the two definitions of ground peak
+    lead to different calculated magnitudes of <i>Max Vegetation Height</i> (25%
+    less when using alternative ground peak in this example). In general,
+    allometric equations relying on <i>Max Vegetation Height</i> as an input
+    would estimate higher biomass (if using the yellow ground peak) or lower
+    biomass (if using the pink alternative ground peak).{' '}
   </FigureCaption>
 </Figure>
 

posts/soil-protocols-added.md

@@ -94,8 +94,8 @@ Combining the new analysis with our results from before, we can look at all the
       interactive version
     </Link>{' '}
     of this table. Abbreviations: Grazing (G), Compost (C), Cropping (Cr),
-    Improved Agriculture (IA), Sustainable Agriculture (SA), Fire + Grazing (FG),
-    Austrailia (Aus), Alberta (Alb)
+    Improved Agriculture (IA), Sustainable Agriculture (SA), Fire + Grazing
+    (FG), Austrailia (Aus), Alberta (Alb)
   </FigureCaption>
 </Figure>
 

posts/ton-year-ncx.md

@@ -45,7 +45,9 @@ Tables 1 and 2 report these values for a timeframe of 100 years and 1000 years,
 
 <Figure>
   <TableThousand />
-  <TableCaption number={2}>Calculations for a 1000-year timeframe.</TableCaption>
+  <TableCaption number={2}>
+    Calculations for a 1000-year timeframe.
+  </TableCaption>
 </Figure>
 
 As you can see, the equivalence ratio expands more than tenfold (from 129.61 to 1322.20) when undiscounted physical impacts are compared across 100- and 1000-year timeframes, respectively. In contrast, when using discounted impacts, the equivalence ratio is almost constant across these two distinct timeframes (30.08 versus 30.81).