Merge pull request #66 from NASA-IMPACT/fix/tmaxx-edits

Climdex tmaxxf content edits

datasets/cmip6-climdex-tmaxxf-access-cm2.data.mdx

@@ -2,7 +2,7 @@
 id: cmip6-climdex-tmaxxf-access-cm2
 name: 'Days per Year Projected to Exceed 90°F and 110°F (NEX-GDDP-CMIP6)'
 featured: false
-description: "Annual number of days from 2015 - 2100 where the maximum temperature is predicted to exceed a threshold of 90°F. This is a global dataset provided at a 0.25 degree resolution."
+description: "Annual number of days from 2015 - 2100 where the maximum temperature is predicted to exceed a threshold of 90°F and 110°F. This is a global dataset provided at a 0.25 degree resolution."
 media:
   src: ::file ./cmip6-climdex-tmaxxf-access-cm2.png
   alt: CMIP6 Climdex TmaxXF Screenshot
@@ -335,7 +335,7 @@ layers:
 
 <Block type='wide'>
   <Prose>
-    The NASA Earth Exchange (NEX) Global Daily Downscaled Projections (GDDP) dataset, or NEX-GDDP-CMIP6, was created to assist the science community in conducting studies of climate change impacts at local to regional scales and to enhance public understanding of possible future climate patterns at the spatial scale of individual towns, cities, and watersheds. The archive contains downscaled historical (1950 - 2015) and future (2015 - 2100) projections of [climate variables](https://www.nature.com/articles/s41597-022-01393-4/tables/2) such as humidity, precipitation, and near-surface air temperature, based on output from [Phase 6 of the Climate Model Intercomparison Project (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/cmip-video). The downscaled products are provided at 0.25 degree horizontal resolution. The data are also available for four different future climate scenarios modeled as part of CMIP6. These scenarios take into account future radiative forcing levels (from low to high) as well as “Shared Socioeconomic Pathways” (SSPs) which are a collection of narratives that describe potential paths society will take in order to combat climate change. The SSPs range from a highly sustainable approach (SSP1) to a narrative where society continues to rely heavily on fossil fuel resources (SSP5). The four resulting combined scenarios are SSP126, SSP245, SSP370 and SSP585. Learn more about the scenarios here: [https://www.dkrz.de/en/communication/climate-simulations/cmip6-en/the-ssp-scenarios](https://www.dkrz.de/en/communication/climate-simulations/cmip6-en/the-ssp-scenarios)
+    The NASA Earth Exchange (NEX) Global Daily Downscaled Projections (GDDP) dataset, or NEX-GDDP-CMIP6, was created to assist the science community in conducting studies of climate change impacts at local to regional scales and to enhance public understanding of possible future climate patterns at the spatial scale of individual towns, cities, and watersheds. The archive contains downscaled historical (1950 - 2014) and future (2015 - 2100) projections of [climate variables](https://www.nature.com/articles/s41597-022-01393-4/tables/2) such as humidity, precipitation, and near-surface air temperature, based on output from [Phase 6 of the Climate Model Intercomparison Project (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/cmip-video). The downscaled products are provided at 0.25 degree horizontal resolution. The data are also available for four different future climate scenarios modeled as part of CMIP6. These scenarios take into account future radiative forcing levels (from low to high) as well as “Shared Socioeconomic Pathways” (SSPs), which are a collection of narratives that describe potential paths society could take to combat climate change. The SSPs range from a highly sustainable approach (SSP1) to a narrative where society continues to rely heavily on fossil fuel resources (SSP5). The four resulting combined scenarios are SSP126, SSP245, SSP370 and SSP585. Learn more about the scenarios here: [https://www.dkrz.de/en/communication/climate-simulations/cmip6-en/the-ssp-scenarios](https://www.dkrz.de/en/communication/climate-simulations/cmip6-en/the-ssp-scenarios)
 
     ## Data Summary  
     * **Temporal Extent:** 2015 - 2100
@@ -352,22 +352,22 @@ layers:
 <Block>
   <Prose>
     ## Source Data Access
-    The Projected Annual Days Above 90°F and 110°F threshold index were created using the following dataset as an input:
+    The Projected Annual Days Above 90°F and 110°F threshold indexes were created using the following dataset as an input:
 
     NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) [https://doi.org/10.7917/OFSG3345](https://doi.org/10.7917/OFSG3345) 
 
     ## Acknowledgment
-    This climate index, Days per Year Projected to Exceed 90°F and 110°F, was calculated using the NEX-GDDP-CMIP6 downscaled climate projections by the NASA Earth eXchange (NEX) at NASA Ames Research Center. NEX-GDDP-CMIP6 was created by NEX and is distributed by the NASA Center for Climate Simulation.
+    These climate indexes, Days per Year Projected to Exceed 90°F and 110°F, were calculated using the NEX-GDDP-CMIP6 downscaled climate projections by the NASA Earth eXchange (NEX) at NASA Ames Research Center. NEX-GDDP-CMIP6 was created by NEX and is distributed by the NASA Center for Climate Simulation.
 
     ## Dataset Preparation & Disclaimer
-    This dataset was derived using the Daily Maximum Near-Surface Temperature data variable (tasmax) from the NEX-GDDP-CMIP6 ACCESS-CM2 model as an input. From this input, the number of days per year that the Daily Maximum Near-Surface Temperature exceeded each threshold were calculated. Only the ACCESS-CM2 model from CMIP6 was used in deriving this product. A full list of CMIP6 models available for the NEX-GDDP-CMIP6 product can be [found here](https://www.nature.com/articles/s41597-022-01393-4/tables/3). Learn more about the ACCESS-CM2 model here: [https://research.csiro.au/access/about](https://research.csiro.au/access/about/).
+    This dataset was derived using the Daily Maximum Near-Surface Temperature data variable (tasmax) from the NEX-GDDP-CMIP6 ACCESS-CM2 model as an input. From this input, the number of days per year that the Daily Maximum Near-Surface Temperature exceeded each threshold was calculated. Only the ACCESS-CM2 model from CMIP6 was used in deriving this product. A full list of CMIP6 models available in the NEX-GDDP-CMIP6 product can be [found here](https://www.nature.com/articles/s41597-022-01393-4/tables/3). Learn more about the ACCESS-CM2 model here: [https://research.csiro.au/access/about](https://research.csiro.au/access/about/).
 
-    The downscaled product (NEX-GDDP-CMIP6) used as an input to this dataset were produced using a daily variant of the monthly bias Bias-Correction Spatial Disaggregation (BCSD) method and are at 0.25 degree horizontal resolution. The demand for downscaling of Global Climate Model (GCM) outputs arises since most GCMs are run using relatively coarse resolution grids (e.g., a few degrees), which limit their ability to capture the spatial details in climate patterns that are often required or desired in regional or local analyses. Even the most advanced GCMs may produce projections that are globally accurate but locally biased in their statistical characteristics (i.e., mean, variance, etc.) when compared with observations. The BCSD approach used in generating the input downscaled dataset inherently assumes that the relative spatial patterns observed from 1960 through 2014 will remain constant under future  climate change. Other than the higher spatial resolution and bias correction, the input dataset does not add information beyond what is contained in the original CMIP6 scenarios, and preserves the frequency of periods of anomalously high and low values (i.e., extreme events) within each individual scenario. Due to the lack of validation of the GMFD over oceans, GDDP values over smaller island areas might not be realistic.
+    The downscaled product (NEX-GDDP-CMIP6) used as an input to this dataset was produced using a daily variant of the monthly bias Bias-Correction Spatial Disaggregation (BCSD) method and is at 0.25 degree horizontal resolution. The demand for downscaling of Global Climate Model (GCM) outputs arises because most GCMs use relatively coarse resolution grids (e.g., a few degrees), which limit their ability to capture the spatial details in climate patterns that are often required or desired in regional or local analyses. Even the most advanced GCMs may produce projections that are globally accurate but locally biased in their statistical characteristics (i.e., mean, variance, etc.) when compared with observations. The BCSD approach used in generating the input downscaled dataset inherently assumes that the relative spatial patterns observed from 1960 through 2014 will remain constant under future  climate change. Other than the higher spatial resolution and bias correction, the input dataset does not add information beyond what is contained in the original CMIP6 scenarios, and preserves the frequency of periods of anomalously high and low values (i.e., extreme events) within each individual scenario. Due to the lack of validation of the GMFD over oceans, GDDP values over smaller island areas might not be realistic.
 
     Learn more about CMIP6 at the following publication:
     Thrasher, B., Wang, W., Michaelis, A. et al. NASA Global Daily Downscaled Projections, CMIP6. Sci Data 9, 262 (2022). [https://doi.org/10.1038/s41597-022-01393-4](https://doi.org/10.1038/s41597-022-01393-4)
 
-    All data displayed in Earth.gov has been transformed from the original format (NetCDF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) and quality checked to ensure the data transformation has been performed correctly.
+    All data displayed in Earth.gov have been transformed from the original format (NetCDF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) and were quality checked to ensure the data transformation has been performed correctly.
 
     This dataset is intended for use in scientific research only, and use of this dataset for other purposes, such as commercial applications, and engineering or design studies is not recommended without consultation with a qualified expert.
   </Prose>