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DOI-USGS#50 Adds River Conditions charts to carousel dating back to F…
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…Y21_Q1
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Jaenicke, Margaret (Contractor) Ellen committed Feb 12, 2024
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203 changes: 105 additions & 98 deletions src/assets/content/RiverConditions.js
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Expand Up @@ -65,104 +65,111 @@ export default {
image_basename: 'river_conditions_oct_dec_2022_visid_thumbnail',
image_type: 'png',
image_alt: 'An animation of spring leaf out timing in the contiguous U.S. from Jan 1 2023 to Apr 3, 2023. A map and bar chart are synchronized to show the onset of spring as the year progresses, with southernmost parts of the U.S. first entering spring and rising up through parts of the midwest and east coast. On the west coast, spring first appears in southern California and Arizona, moving up towards Washington along the coast, while the interior western states remain in winter. Compared to the 30 year average, spring timing is generally consistent.'
}
// ,
// {
// id: '7',
// date: '2023-04-04',
// cc_prompt: 'Comparisons: historical',
// author: 'Althea Archer',
// profile_url: 'https://www.usgs.gov/staff-profiles/althea-a-archer',
// tweet_url: 'https://twitter.com/USGS_DataSci/status/1643378388751597568?cxt=HHwWgIC-0YD8uc4tAAAA',
// drupal_url: 'https://cms.usgs.gov/media/images/comparisons-historical-minimum-annual-streamflow-across-generations',
// image_basename: '20230404_historical_aaarcher',
// image_type: 'png',
// image_alt: 'A data visualization showing how Minimum Annual Streamflow has changed from generation to generation over the past 100 years. Across the contiguous United States, streamflow has increased by 22% when comparing the baseline “Silent generation” (1920-1946) against the Gen Z years (1997-2020). Regionally, streamflow has increased on average for every area of the U.S. other than the Southwest (excluding California) and Southeast, which both have decreased 10-14% since the silent generation. The largest increase was in the south central region, which was an increase of 81%.'
// },
// {
// id: '8',
// date: '2023-04-04',
// cc_prompt: 'Comparisons: historical',
// author: 'Elmera Azadpour and Cee Nell',
// profile_url: '',
// tweet_url: 'https://twitter.com/USGS_DataSci/status/1643383570965184514?cxt=HHwWhIC-kdOpvM4tAAAA',
// drupal_url: 'https://www.usgs.gov/media/images/march-2023-streamflow',
// image_basename: '20230404_historical_eazadpour_cnell',
// image_type: 'png',
// image_alt: 'A tile map of the US showing streamgages by flow levels through the month of March 2023. For each state, an area chart shows the proportion of streamgages in wet, normal, or dry conditions. Streamflow conditions are quantified using percentiles comparing the past month\'s flow levels to the historic record for each streamgage. During the month of March, storms brought wetter than normal conditions for much of the U.S. Concurrently, large parts of California, the Southwest and the Mississippi River Basin saw heightened precipitation, while much of the Northwest and Northern Plains remain dry.'
// },
// {
// id: '9',
// date: '2023-04-06',
// cc_prompt: 'Comparisons: data day: OWID',
// author: 'Hayley Corson-Dosch',
// profile_url: 'https://www.usgs.gov/staff-profiles/hayley-corson-dosch',
// tweet_url: 'https://twitter.com/USGS_DataSci/status/1644092108104400899?cxt=HHwWhoCwmfjD_tAtAAAA',
// drupal_url: 'https://www.usgs.gov/media/images/comparisons-data-day-owid-lives-lost-natural-disasters',
// image_basename: '20230406_OWID_hcorson-dosch',
// image_type: 'png',
// image_alt: 'An alluvial diagram showing the number of deaths due to natural disasters in the United States over the past 50 years (1972 - 2022). The data include deaths due to eight types of natural disasters: wildfires, drought, extreme temperatures, landslides, volcanic activity, earthquakes, storms, and floods. In most years, the largest cause of deaths are storms (hurricanes, tornadoes, and cyclones). Some individual events stand out, for example deaths due to the eruption of Mt. Saint Helens and to the 2018 Camp Fire in California. For each type of disaster, a timeseries of deaths is plotted as a horizontal band of varying height. The height corresponds to the number of deaths caused by that type of disaster. The bands are stacked, and total height equals total deaths across all disaster types. The stacking order varies by year, so that the band with the most deaths is on top. The bands therefore cross one another, showing changes in deaths over time and the top causes of deaths in each year.'
// },
// {
// id: '10',
// date: '2023-04-07',
// cc_prompt: 'Distributions: hazards',
// author: 'Matthew Conlon and James Colgin',
// profile_url: '',
// tweet_url: 'https://twitter.com/USGS_DataSci/status/1644410199711842304?cxt=HHwWgIDUraeXj9ItAAAA',
// drupal_url: 'https://www.usgs.gov/media/images/distributions-hazards-flooding-norriston-pa-during-hurricane-ida-september-2021',
// image_basename: '20230407_hazards_conlon_colgin',
// image_type: 'gif',
// image_alt: 'A 3D aerial view of Norristown, Pennsylvania shows where the Schuylkill River passes through the city. The water in the river is shown in bright blue, while the surrounding city is shown in natural color. The view animates through time, showing how the water level in the river rose rapidly during Hurricane Ida in September 2021, eclipsing an island in the center of the river, two bridges, and much of the lower reaches of the city.'
// },
// {
// id: '11',
// date: '2023-04-08',
// cc_prompt: 'Distributions: humans',
// author: 'Hayley Corson-Dosch',
// profile_url: 'https://www.usgs.gov/staff-profiles/hayley-corson-dosch',
// tweet_url: 'https://twitter.com/USGS_DataSci/status/1644686840312610818?cxt=HHwWhIC-ufT9jNMtAAAA',
// drupal_url: 'https://www.usgs.gov/media/images/distributions-humans-how-are-we-using-water',
// image_basename: '20230408_humans_hcorson-dosch',
// image_type: 'png',
// image_alt: '8 maps of the continental U.S. show county-level water use for 8 categories of use – thermoelectric, irrigation, public supply, industrial, aquaculture, mining, domestic, and livestock. Use in each category is shown as a percent of total water use, by county. In the northern plains, most water is used for livestock. In west Texas, most water is used for mining. In northern Maine, most water is used for industry.'
// },
// {
// id: '12',
// date: '2023-04-09',
// cc_prompt: 'Distributions: high/low',
// author: 'Althea Archer',
// profile_url: 'https://www.usgs.gov/staff-profiles/althea-a-archer',
// tweet_url: 'https://twitter.com/USGS_DataSci/status/1645049420805820417?cxt=HHwWgsC-0e_usdQtAAAA',
// drupal_url: 'https://www.usgs.gov/media/images/distributions-highlow-a-tale-two-winters',
// image_basename: '20230409_high-low_aaarcher',
// image_type: 'png',
// image_alt: 'A Tale of two winters. A map of CONUS and lollipop style charts show the difference in percent snow covered area for February 2023 compared to the 20-year mean (2003-2022). Paired charts show the relationships between latitude, longitude, and difference in percent snow covered area, depicting two very different winters between the coasts. High snow conditions were mainly in the west and lower snow to the east.'
// },
// {
// id: '13',
// date: '2023-04-11',
// cc_prompt: 'Distributions: circular',
// author: 'Jay Hariharan',
// profile_url: 'https://www.usgs.gov/staff-profiles/jayaram-hariharan',
// tweet_url: 'https://twitter.com/USGS_DataSci/status/1645908291300765696?cxt=HHwWgMDRvdu3uNctAAAA',
// drupal_url: 'https://www.usgs.gov/media/images/distributions-circular-circularity-named-lakes-united-states',
// image_basename: '20230411_circular_jhariharan',
// image_type: 'png',
// image_alt: 'Circularity of named lakes in the U.S. A histogram shows circularity for lakes and reservoirs in the United States, defined as 4π * Area / perimeter squared. The distribution is skewed left, as most lakes and reservoirs aren\'t very circular. Specific lakes are highlighted, such as sinuous Lake Cumberland, in Kentucky, which has low circularity, and Lower Van Norman Lake, California which has high circularity. Non-lake examples of shapes such as a rhombus and circle that include circularity, area, and perimeter values are shown for comparison.'
// },
// {
// id: '14',
// date: '2023-04-13',
// cc_prompt: 'Relationships: pop culture',
// author: 'Anthony Martinez',
// profile_url: 'https://www.usgs.gov/staff-profiles/anthony-martinez',
// tweet_url: 'https://twitter.com/USGS_DataSci/status/1646632023581401088?cxt=HHwWgIDRlb3GgdotAAAA',
// drupal_url: 'https://www.usgs.gov/media/images/relationships-pop-culture-water-uses-affected-wildfire-2000-2020',
// image_basename: '20230413_pop-culture_ajmartinez',
// image_type: 'gif',
// image_alt: 'Animated map of the continental U.S. and paired line chart. For each month from 2000 to 2020, the map shows burned areas within water supply watersheds, and the chart displays the total number of affected water users. In 2003, 2005, 2014, and 2017, wildfires burned key water supply watersheds that together supply water to over 1.5 million consumers.'
// },
},
{
id: '7',
date: '2023-04-04',
cc_prompt: 'Comparisons: historical',
author: 'Althea Archer',
profile_url: 'https://www.usgs.gov/staff-profiles/althea-a-archer',
tweet_url: 'https://twitter.com/USGS_DataSci/status/1643378388751597568?cxt=HHwWgIC-0YD8uc4tAAAA',
drupal_url: 'https://cms.usgs.gov/media/images/comparisons-historical-minimum-annual-streamflow-across-generations',
folder: 'FY22_Q4/',
image_basename: 'river_conditions_jul_sep_2022_visid_thumbnail',
image_type: 'png',
image_alt: 'A data visualization showing how Minimum Annual Streamflow has changed from generation to generation over the past 100 years. Across the contiguous United States, streamflow has increased by 22% when comparing the baseline “Silent generation” (1920-1946) against the Gen Z years (1997-2020). Regionally, streamflow has increased on average for every area of the U.S. other than the Southwest (excluding California) and Southeast, which both have decreased 10-14% since the silent generation. The largest increase was in the south central region, which was an increase of 81%.'
},
{
id: '8',
date: '2023-04-04',
cc_prompt: 'Comparisons: historical',
author: 'Elmera Azadpour and Cee Nell',
profile_url: '',
tweet_url: 'https://twitter.com/USGS_DataSci/status/1643383570965184514?cxt=HHwWhIC-kdOpvM4tAAAA',
drupal_url: 'https://www.usgs.gov/media/images/march-2023-streamflow',
folder: 'FY22_Q3/',
image_basename: 'river_conditions_apr_jun_2022_thumbnail',
image_type: 'png',
image_alt: 'A tile map of the US showing streamgages by flow levels through the month of March 2023. For each state, an area chart shows the proportion of streamgages in wet, normal, or dry conditions. Streamflow conditions are quantified using percentiles comparing the past month\'s flow levels to the historic record for each streamgage. During the month of March, storms brought wetter than normal conditions for much of the U.S. Concurrently, large parts of California, the Southwest and the Mississippi River Basin saw heightened precipitation, while much of the Northwest and Northern Plains remain dry.'
},
{
id: '9',
date: '2023-04-06',
cc_prompt: 'Comparisons: data day: OWID',
author: 'Hayley Corson-Dosch',
profile_url: 'https://www.usgs.gov/staff-profiles/hayley-corson-dosch',
tweet_url: 'https://twitter.com/USGS_DataSci/status/1644092108104400899?cxt=HHwWhoCwmfjD_tAtAAAA',
drupal_url: 'https://www.usgs.gov/media/images/comparisons-data-day-owid-lives-lost-natural-disasters',
folder: 'FY22_Q2/',
image_basename: 'river_conditions_jan_mar_2022_thumbnail',
image_type: 'png',
image_alt: 'An alluvial diagram showing the number of deaths due to natural disasters in the United States over the past 50 years (1972 - 2022). The data include deaths due to eight types of natural disasters: wildfires, drought, extreme temperatures, landslides, volcanic activity, earthquakes, storms, and floods. In most years, the largest cause of deaths are storms (hurricanes, tornadoes, and cyclones). Some individual events stand out, for example deaths due to the eruption of Mt. Saint Helens and to the 2018 Camp Fire in California. For each type of disaster, a timeseries of deaths is plotted as a horizontal band of varying height. The height corresponds to the number of deaths caused by that type of disaster. The bands are stacked, and total height equals total deaths across all disaster types. The stacking order varies by year, so that the band with the most deaths is on top. The bands therefore cross one another, showing changes in deaths over time and the top causes of deaths in each year.'
},
{
id: '10',
date: '2023-04-07',
cc_prompt: 'Distributions: hazards',
author: 'Matthew Conlon and James Colgin',
profile_url: '',
tweet_url: 'https://twitter.com/USGS_DataSci/status/1644410199711842304?cxt=HHwWgIDUraeXj9ItAAAA',
drupal_url: 'https://www.usgs.gov/media/images/distributions-hazards-flooding-norriston-pa-during-hurricane-ida-september-2021',
folder: 'FY22_Q1/',
image_basename: 'river_conditions_oct_dec_2021_thumbnail',
image_type: 'png',
image_alt: 'A 3D aerial view of Norristown, Pennsylvania shows where the Schuylkill River passes through the city. The water in the river is shown in bright blue, while the surrounding city is shown in natural color. The view animates through time, showing how the water level in the river rose rapidly during Hurricane Ida in September 2021, eclipsing an island in the center of the river, two bridges, and much of the lower reaches of the city.'
},
{
id: '11',
date: '2023-04-08',
cc_prompt: 'Distributions: humans',
author: 'Hayley Corson-Dosch',
profile_url: 'https://www.usgs.gov/staff-profiles/hayley-corson-dosch',
tweet_url: 'https://twitter.com/USGS_DataSci/status/1644686840312610818?cxt=HHwWhIC-ufT9jNMtAAAA',
drupal_url: 'https://www.usgs.gov/media/images/distributions-humans-how-are-we-using-water',
folder: 'FY21_Q4/',
image_basename: 'river_conditions_jan_mar_2021_thumbnail',
image_type: 'png',
image_alt: '8 maps of the continental U.S. show county-level water use for 8 categories of use – thermoelectric, irrigation, public supply, industrial, aquaculture, mining, domestic, and livestock. Use in each category is shown as a percent of total water use, by county. In the northern plains, most water is used for livestock. In west Texas, most water is used for mining. In northern Maine, most water is used for industry.'
},
{
id: '12',
date: '2023-04-09',
cc_prompt: 'Distributions: high/low',
author: 'Althea Archer',
profile_url: 'https://www.usgs.gov/staff-profiles/althea-a-archer',
tweet_url: 'https://twitter.com/USGS_DataSci/status/1645049420805820417?cxt=HHwWgsC-0e_usdQtAAAA',
drupal_url: 'https://www.usgs.gov/media/images/distributions-highlow-a-tale-two-winters',
folder: 'FY21_Q3/',
image_basename: 'river_conditions_apr_jun_2021_thumbnail',
image_type: 'png',
image_alt: 'A Tale of two winters. A map of CONUS and lollipop style charts show the difference in percent snow covered area for February 2023 compared to the 20-year mean (2003-2022). Paired charts show the relationships between latitude, longitude, and difference in percent snow covered area, depicting two very different winters between the coasts. High snow conditions were mainly in the west and lower snow to the east.'
},
{
id: '13',
date: '2023-04-11',
cc_prompt: 'Distributions: circular',
author: 'Jay Hariharan',
profile_url: 'https://www.usgs.gov/staff-profiles/jayaram-hariharan',
tweet_url: 'https://twitter.com/USGS_DataSci/status/1645908291300765696?cxt=HHwWgMDRvdu3uNctAAAA',
drupal_url: 'https://www.usgs.gov/media/images/distributions-circular-circularity-named-lakes-united-states',
folder: 'FY21_Q2/',
image_basename: 'river_conditions_jan_mar_2021_thumbnail',
image_type: 'png',
image_alt: 'Circularity of named lakes in the U.S. A histogram shows circularity for lakes and reservoirs in the United States, defined as 4π * Area / perimeter squared. The distribution is skewed left, as most lakes and reservoirs aren\'t very circular. Specific lakes are highlighted, such as sinuous Lake Cumberland, in Kentucky, which has low circularity, and Lower Van Norman Lake, California which has high circularity. Non-lake examples of shapes such as a rhombus and circle that include circularity, area, and perimeter values are shown for comparison.'
},
{
id: '14',
date: '2023-04-13',
cc_prompt: 'Relationships: pop culture',
author: 'Anthony Martinez',
profile_url: 'https://www.usgs.gov/staff-profiles/anthony-martinez',
tweet_url: 'https://twitter.com/USGS_DataSci/status/1646632023581401088?cxt=HHwWgIDRlb3GgdotAAAA',
drupal_url: 'https://www.usgs.gov/media/images/relationships-pop-culture-water-uses-affected-wildfire-2000-2020',
folder: 'FY21_Q1/',
image_basename: 'river_conditions_oct_dec_2020_thumbnail',
image_type: 'png',
image_alt: 'Animated map of the continental U.S. and paired line chart. For each month from 2000 to 2020, the map shows burned areas within water supply watersheds, and the chart displays the total number of affected water users. In 2003, 2005, 2014, and 2017, wildfires burned key water supply watersheds that together supply water to over 1.5 million consumers.'
},
// {
// id: '15',
// date: '2023-04-13',
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