Update NOAA CO2 overview page (#473)

datasets/noaa-cpfp-co2-point.data.mdx

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     The Global Greenhouse Gas Reference Network (GGGRN) for the Carbon Cycle and Greenhouse Gases (CCGG) Group is part of NOAA'S Global Monitoring Laboratory (GML) in Boulder, CO. The Reference Network measures the atmospheric distribution and trends of the three main long-term drivers of climate change, carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N<sub>2</sub>O), as well as carbon monoxide (CO) and many other trace gases which help interpretation of the main GHGs. The Reference Network measurement program includes continuous in-situ measurements at 4 baseline observatories (global background sites) and 8 tall towers, as well as flask-air samples collected by volunteers at over 50 additional regional background sites and from small aircraft conducting regular vertical profiles. The flask air samples are returned to GML for analysis where measurements of about 55 trace gases are completed.
 
-    This dataset contains CO₂ concentration measurements in units of parts per million (ppm) made from surface in-situ and tower sites and from surface flask air samples. The surface in-situ and tower instrumentation measures CO₂ continuously (hourly) while the flask air samples are non-continuous measurements (frequency varies by station). Due to the high data volume of hourly tower measurements, daily and monthly averages are generated for display in the US GHG Center. Data shown for all stations are quality controlled and are available on the GHG Center 6 - 7 months after the previous year. One station atop Mauna Loa in Hawaii also has near real-time (NRT) data available. NRT data is not yet quality controlled and is replaced by the quality-controlled data once available. The Mauna Loa station ceased to operate from late November to April 2024 due to volcanic eruptions near the station. To maintain a long-term record, a station was placed atop Mauna Kea, 21 miles to the northeast. Data from this alternate location is in very good agreement with the existing Mauna Loa record and for the purpose of data visualization has been  included in the Mauna Loa time series rather than a separate station.
+    This dataset contains CO₂ concentration measurements in units of parts per million (ppm) made from surface in-situ and tower sites and from surface flask air samples. The surface in-situ and tower instrumentation measures CO₂ continuously (hourly) while the flask air samples are non-continuous measurements (frequency varies by station). Due to the high data volume of hourly tower measurements, daily and monthly averages are generated for display in the US GHG Center. Data shown for all stations are quality controlled and are available on the GHG Center 6 - 7 months after the previous year. One station atop Mauna Loa in Hawaii also has near real-time (NRT) data available. NRT data is not yet quality controlled and is replaced by the quality-controlled data once available. The Mauna Loa station measurements were suspended from November 29, 2022 to July 4, 2023 due to volcanic eruptions near the station. To maintain the long-term record, a station was placed atop Mauna Kea (21 miles to the northeast) and measurements from the Mauna Kea observatory are substituted during this time to fill in the Mauna Loa record. The Mauna Kea quality-controlled measurements are noted using coral color. The Mauna Kea observations are in very good agreement with the Mauna Loa record.
 
     NOAA's GGGRN maintains the World Meteorological Organization international calibration scales for CO₂, CH₄, CO, N<sub>2</sub>O, and SF<sub>6</sub> in air. The measurements from the GGGRN serve as a comparison with measurements made by many other international laboratories, and with regional studies. They are widely used in modeling studies that infer space-time patterns of emissions and removals of greenhouse gases that are optimally consistent with the atmospheric observations, given wind patterns. These data serve as an early warning for climate "surprises". The measurements are also helpful for the ongoing evaluation of remote sensing technologies.