METEO 3 Lesson 10 Images

Lesson 10: The Human Impact on Weather and Climate

 

Local Human Impacts

They're cities

Satellite map highlighting Minneapolis, St. Cloud, Mankato, and Rochester with temperature variations indicated by grayscale shading..
They're cities
Text description of They're cities image.
The image shows an infrared satellite view of a region with several cities highlighted. Cloud cover appears in varying shades of gray, representing differences in temperature across the area. Darker gray regions indicate warmer cloud tops or surfaces, while lighter shades correspond to cooler temperatures. Major cities—including Minneapolis, St. Cloud, Mankato, and Rochester—are labeled in yellow text and marked with yellow circles. These cities are located within darker shaded areas, suggesting relatively warmer conditions compared to the surrounding regions.
Credit: NASA

example from 18Z on October 2, 2017

Satellite image of northeastern U.S. highlighting Lakes Ontario, Erie, Finger Lakes, Northern Forests, valley regions, Susquehanna River, and clouds.
example from 18Z on October 2, 2017
Text description of the example from 18Z on October 2, 2017 image.
The image is a grayscale satellite view of the northeastern United States, bordered by the Atlantic Ocean to the east. State boundaries are outlined in blue, extending from Lake Ontario and Lake Erie in the north and west to the Atlantic coastline in the east. The Finger Lakes region and the Northern Forests are labeled in the north‑central portion of the image. South of the forested areas, lighter‑colored regions represent valley areas primarily used for agriculture. The Susquehanna River runs across the southern section of the map. Patches of cloud cover appear as bright white areas, particularly over the southwestern portion near the Susquehanna River. Key geographic features are identified with yellow text labels throughout the image.
Credit: NOAA / University of Wisconsin

full-sized image

A satellite view of the northeastern United States with geographical features labeled.
full-sized image
Text description of the full-sized image image.
The image is a satellite view of a portion of the northeastern United States, with state borders outlined in yellow. Prominent geographic features are identified with yellow text labels, including “Clouds” in the northwestern portion of the image, “Northern forests” in the north‑central region, and “Snow‑covered valleys” across the central area. The “Ice‑covered Susquehanna River” is labeled in the southeastern section. The grayscale satellite imagery displays a variety of textures and shading that indicate differences in terrain and weather conditions. Darker areas correspond to forest cover or cloud shadows, while lighter, white regions represent snow‑ and ice‑covered surfaces. Text in the top left corner references NOAA/NESDIS Satellite Applications and Research as the data source.
Credit: NOAA / University of Wisconsin

 

Natural Drivers of Climate Change

NASA graph of sunspot number during Solar Cycles 22-24

A graph of sunspot numbers from 1985 to 2020 over a solar image, showing solar cycles 22, 23, and 24.
NASA graph of sunspot number during Solar Cycles 22-24
Text description of the NASA graph of sunspot number during Solar Cycles 22-24 image.
The image features a graph overlaid on a vivid orange‑ and yellow‑colored image of the Sun, illustrating sunspot numbers from 1985 to 2020. The x‑axis represents time, marked at five‑year intervals from 1985 through 2020, while the y‑axis shows sunspot numbers ranging from 0 to 300. Three distinct solar cycles are depicted: Solar Cycle 22 (1985–1996), Solar Cycle 23 (1996–2008), and Solar Cycle 24 (2008–2020). White lines trace the observed sunspot numbers, clearly showing peaks and troughs within each cycle, with values flattening after approximately 2016 as they transition into predicted levels. The background solar image displays detailed bright regions and swirling patterns, emphasizing the dynamic nature of solar activity. Text on the image provides the title, data source, and time of prediction. Overall, the graph indicates a decreasing trend in sunspot activity from 1985 onward.
Credit: NASA

varies between 22.1 degrees and 24.5 degrees

Illustration of axial obliquity variation showing angles of 22.1 and 24.5 degrees.
varies between 22.1 degrees and 24.5 degrees
Text description of the varies between 22.1 degrees and 24.5 degrees image.
The image illustrates the concept of axial obliquity variation. It depicts a dark, partially illuminated sphere representing Earth against a black background, with illumination coming from the Sun and leaving part of the sphere in shadow. Two red lines extend upward from a point on the sphere’s surface, diverging to represent different axial tilt angles. A vertical white line serves as a reference axis. The angles between the red lines and the vertical line are marked by white arrows, indicating tilt values of 22.1 degrees and 24.5 degrees. Together, these elements visually demonstrate the range of Earth’s axial tilt and how it varies over time.
Credit: NASA GSFC

precession

Image of Earth illustrating precession with arrows indicating Earth's rotation and a circular path at the North Pole.
precession
Text description of the precession image.

The image depicts a visualization of Earth in space demonstrating the concept of precession. The planet is shown as a globe, with a dark line dividing the illuminated side from the shadowed side, indicating day and night. Over the surface, a grid with dotted lines outlines the latitude and longitude. A red arrow extends upward from the North Pole, topped with a circular orbit path, suggesting the rotational path of the precession. White arrows along the equator indicate the direction of Earth's rotation. The backdrop is a starry space, providing a cosmic context. In the top left corner, the word "Precession" is written in white text.

Credit: NASA GSFC

that's not what has actually happened

Line graph showing global temperature anomalies from 1880 to 2020, illustrating an upward trend.
that's not what has actually happened
Text description of the that's not what has actually happened image.

The image is a line graph displaying the global temperature anomaly from 1880 to 2020. The y-axis, labeled "Temperature Anomaly (C)," ranges from -0.5 to 1.0, while the x-axis is labeled "YEAR" and ranges from 1880 to 2020. The data is represented by a thick black line that moves upwards over the years, indicating an increase in temperature anomalies. There are lighter gray dots and lines in the background, which indicate more granular data points or yearly variations. The graph shows a rising trend, particularly from the 1980s onward. A source citation at the bottom left reads "Source: climate.nasa.gov."

Credit: NASA

 

Anthropogenic Climate Change

observed temperature changes that have occurred since the late 1800s

Line graph showing global temperature anomalies from 1880 to 2020, illustrating an upward trend.
observed temperature changes that have occurred since the late 1800s
Text description of the observed temperature changes that have occurred since the late 1800s image.

The image is a line graph displaying the global temperature anomaly from 1880 to 2020. The y-axis, labeled "Temperature Anomaly (C)," ranges from -0.5 to 1.0, while the x-axis is labeled "YEAR" and ranges from 1880 to 2020. The data is represented by a thick black line that moves upwards over the years, indicating an increase in temperature anomalies. There are lighter gray dots and lines in the background, which indicate more granular data points or yearly variations. The graph shows a rising trend, particularly from the 1980s onward. A source citation at the bottom left reads "Source: climate.nasa.gov."

Credit: NASA

global carbon dioxide emissions have grown

Graph showing global carbon emissions from fossil fuels, 1900-2014, with an increasing trend.
global carbon dioxide emissions have grown
Text description of the global carbon dioxide emissions have grown image.
The image is a line graph illustrating global carbon emissions from fossil fuels between 1900 and 2014. The vertical axis is labeled “Million Metric Tons Carbon” and ranges from 0 to 11,000, while the horizontal axis represents time, with years marked at decade intervals from 1900 through 2010. A blue line depicts a clear upward trend in emissions, beginning at approximately 500 million metric tons in 1900 and rising to over 10,000 million metric tons by 2014. Emissions increase gradually through the first half of the twentieth century, then become noticeably steeper after around 1950, indicating an acceleration in emissions growth. The graph is set against a white background, with green shading at the top that contains the title.
Credit: U.S. Department of Energy

 

The Carbon Cycle

data from the Mauna Loa Observatory

Graph of atmospheric CO2 levels at Mauna Loa Observatory from 1960 to 2020, showing a consistent increase.
data from the Mauna Loa Observatory
Text description of the data from the Mauna Loa Observatory image.

The image is a graph showing atmospheric carbon dioxide (CO₂) concentrations measured at the Mauna Loa Observatory from 1960 to 2020. The vertical axis represents CO₂ levels in parts per million (ppm), ranging from approximately 320 to 420 ppm, while the horizontal axis displays the years, marked at decade intervals from 1960 through 2020. A red, jagged line illustrates both the seasonal fluctuations and the long‑term upward trend in CO₂ concentrations, with the overall increase highlighted by a black trend line. The graph’s title, “Atmospheric CO₂ at Mauna Loa Observatory,” is displayed at the top. Additional text in the upper left credits the Scripps Institution of Oceanography and NOAA’s Earth System Research Laboratory as the data sources. Two organizational logos appear in the bottom right corner of the image.

Credit: Scripps Institution of Oceanography and NOAA Earth System Research Laboratory

concentrations of atmospheric carbon dioxide have varied

Line graph of atmospheric CO2 levels over 400,000 years with a recent sharp increase.
concentrations of atmospheric carbon dioxide have varied
Text description of the concentrations of atmospheric carbon dioxide have varied image.

The image is a line graph depicting atmospheric carbon dioxide levels (parts per million) over time, from 400,000 years ago to the present day, with 0 years representing 1950. The x-axis is labeled "years before today (0 = 1950)" and the y-axis is labeled "carbon dioxide level (parts per million)" ranging from 180 to 500. The graph shows fluctuating CO2 levels between 180 and 300 ppm across most of the timescale, with a dramatic spike after 0 years, surpassing previous levels and reaching upwards of 400 ppm. A horizontal yellow line across the graph marks 300 ppm, indicating a previous atmospheric CO2 limit. The lines labeled "current level" and "1950 level" denote the recent exponential increases.

Credit: NASA

warming trend since the late 1800s

Graph showing the global temperature anomaly from 1880 to 2020, with a noticeable rise after 1980.
warming trend since the late 1800s
Text description of the warming trend since the late 1800s image.

The image is a line graph displaying the global temperature anomaly from 1880 to 2020. The y-axis, labeled "Temperature Anomaly (C)," ranges from -0.5 to 1.0, while the x-axis is labeled "YEAR" and ranges from 1880 to 2020. The data is represented by a thick black line that moves upwards over the years, indicating an increase in temperature anomalies. There are lighter gray dots and lines in the background, which indicate more granular data points or yearly variations. The graph shows a rising trend, particularly from the 1980s onward. A source citation at the bottom left reads "Source: climate.nasa.gov."

Credit: NASA

 

Taking Earth's Temperature

graph of 133-month average global temperatures

Line graph of global temperature anomalies from 1880 to 2010 by several sources, showing an overall rising trend.
graph of 133-month average global temperatures
Text description of the graph of 133-month average global temperatures image.

The image is a line graph showing various measurements of global temperature anomalies over time, from the year 1890 to 2010. The x-axis represents the year, starting from 1890 to 2010, while the y-axis represents the temperature anomaly in degrees Celsius, ranging from -0.8 to 0.1. There are five different colored lines on the graph, each representing data from different sources: GISS (light blue), HADCRUT (magenta), NOAA (green), RSS (orange), and UAH (red). The data shows an overall upward trend in temperature anomalies over time, with fluctuations along different years. All lines converge around a similar upward trajectory starting in the latter part of the 20th century. The graph is titled "Various Measurements of Global Temperature," and it includes a note that it represents a 133-month average.

Credit: NASA

NASA's temperature record

Line graph showing global temperature anomalies from 1880 to 2020 with a rising trend.
NASA's temperature record
Text description of the NASA's temperature record image.

The image is a line graph titled “Global Mean Estimates based on Land and Ocean Data.” It presents global temperature anomaly data from 1880 to 2020 along the horizontal axis, while the vertical axis shows temperature anomalies in degrees Celsius, ranging from approximately −0.6 to 1.0. Two lines are displayed: a black line with square markers representing the annual mean temperature anomalies, and a red line indicating the LOWESS‑smoothed trend. The graph reveals an overall upward trend in global temperatures, with particularly sharp increases after the 1980s. Blue error bars appear at several data points, with reduced variability evident in the more recent portion of the record. The data source is credited as NASA GISS in the bottom right corner of the image.

Credit: NASA

atmospheric carbon dioxide is steadily increasing

Graph showing rising atmospheric CO2 from 1960 to 2020 at Mauna Loa Observatory.
atmospheric carbon dioxide is steadily increasing
Text description of the atmospheric carbon dioxide is steadily increasing image.

The image is a graph showing atmospheric carbon dioxide (CO₂) concentrations measured at the Mauna Loa Observatory from 1960 to 2020. The vertical axis represents CO₂ levels in parts per million (ppm), ranging from approximately 320 to 420 ppm, while the horizontal axis displays the years, marked at decade intervals from 1960 through 2020. A red, jagged line illustrates both the seasonal fluctuations and the long‑term upward trend in CO₂ concentrations, with the overall increase highlighted by a black trend line. The graph’s title, “Atmospheric CO₂ at Mauna Loa Observatory,” is displayed at the top. Additional text in the upper left credits the Scripps Institution of Oceanography and NOAA’s Earth System Research Laboratory as the data sources. Two organizational logos appear in the bottom right corner of the image.

Credit: Scrips Institution of Oceanography and NOAA Earth System Research Laboratory

no global warming had occurred for a period of 18 years and 3 months

Line graph illustrating temperature anomalies from 1997 to 2014 with no significant trend in global warming.
no global warming had occurred for a period of 18 years and 3 months
Text description of the no global warming had occurred for a period of 18 years and 3 months image.

The image is a line graph illustrating global mean temperature anomalies from 1997 to 2014. The horizontal axis represents years, while the vertical axis shows temperature anomalies in degrees Celsius, ranging from −0.1 to 0.8°C. A blue zigzagging line traces fluctuations in temperature anomalies over time. A bold, lighter blue horizontal line runs across the graph between 0.2 and 0.3°C, serving as a reference level. The background features a fine grid pattern to make it easier to read and interpret values. Centered prominently on the graph is blue text stating “No global warming for 18 years 3 months.” Additional annotations indicate a trend value of 0.00°C and r² = 0.000, highlighting the reported lack of a warming trend over the period shown.

Credit: Data from Remote Sensing Systems
A U.S. map showing average mean temperature trends from 1895 to 2017 using a red and blue gradient to indicate changes.
temperature changes in the United States between 1895 and 2017
Text description of the temperature changes in the United States between 1895 and 2017 image.

The image is a map of the United States displaying average mean temperature trends from 1895 to 2017, shown with a 95% confidence interval. The map uses a color gradient to represent temperature change measured in degrees Fahrenheit per century. Blue shades indicate cooling trends, red shades represent warming trends, and white denotes little to no change.

Most of the map appears in shades of red, indicating an overall increase in mean temperatures over the period analyzed. The darkest red areas are concentrated in the northern and western parts of the country, highlighting regions with the strongest warming trends. A legend at the bottom of the map provides the color scale, ranging from −2.0 to 2.0°F per century, allowing for interpretation of the magnitude of temperature change. The NOAA logo is visible in the southeastern United States portion of the map.

Credit: National Centers for Environmental Information
Map of the U.S. showing summer temperature trends from 1895 to 2017, using a color gradient for warming and cooling.
maximum temperatures during summer
Text description of the maximum temperatures during summer image.

The image is a map of the United States displaying average maximum temperature trends from 1895 to 2017, shown with a 95% confidence interval. Temperature changes are represented using a color gradient measured in degrees Fahrenheit per century, where blue shades indicate cooling trends, red shades represent warming trends, and white denotes little to no change.

Much of the western United States and the Northeast metropolitan region appears in red, indicating an overall increase in maximum temperatures during the period analyzed. The darkest red areas are concentrated in the western portions of the country, highlighting regions with the strongest warming trends. In contrast, parts of the eastern half of the country, including the Mississippi Valley, are shaded in white to blue, suggesting stable to decreasing trends in maximum temperatures.

A legend at the bottom of the map provides the color scale, ranging from −2.0 to 2.0°F per century, allowing for interpretation of the magnitude of temperature change. The NOAA logo is visible in the southeastern United States area of the map.

Credit: National Centers for Environmental Information

 

A Little Warming, Big Consequences

global average temperatures

Line graph of global mean temperature anomalies from 1880 to 2020, showing an upward trend.
global average temperatures
Text description of the global average temperatures image.

The image is a line graph titled “Global Mean Estimates based on Land and Ocean Data.” It presents global temperature anomaly data from 1880 to 2020 along the horizontal axis, while the vertical axis shows temperature anomalies in degrees Celsius, ranging from approximately −0.6 to 1.0. Two lines are displayed: a black line with square markers representing the annual mean temperature anomalies, and a red line indicating the LOWESS‑smoothed trend. The graph reveals an overall upward trend in global temperatures, with particularly sharp increases after the 1980s. Blue error bars appear at several data points, with reduced variability evident in the more recent portion of the record. The data source is credited as NASA GISS in the bottom right corner of the image.

Credit: NASA

animation showing Arctic sea ice concentration between 1914 and 2013 (0:12)

animation showing Arctic sea ice concentration between 1914 and 2013
Text description of the animation showing Arctic sea ice concentration between 1914 and 2013 0:12)

The animation is a visual representation of Arctic sea ice extent from 1914 to 2013. The ice is depicted as a predominantly white area, surrounded by gradient shades transitioning from light to dark blue, which represent decreasing ice concentration toward the edges. The background is solid black, creating strong contrast that emphasizes the ice coverage. In the top‑left corner, the year is displayed for each frame. As the animation progresses, the white ice area visibly shrinks, allowing viewers to observe the gradual depletion of Arctic sea ice over time.

Credit: Zachary Labe

Greenland and Antarctica

World map highlighting Greenland and Antarctic Ice Sheets.
Greenland and Antarctica
Text description of the Greenland and Antarctica image.

The image is a world map in an equirectangular projection, shown in grayscale. Two rectangular areas are highlighted in red. The first rectangle outlines Greenland in the northern hemisphere, labeled "Greenland Ice Sheet" in red text. The second rectangle highlights Antarctica in the southern hemisphere, labeled "Antarctic Ice Sheet" in red text. The map outlines continental borders and island masses without any topographic detail or political boundaries.

Credit: NSIDC

trends in land-ice mass in these side-by-side graphs (0:06)

trends in land-ice mass in these side-by-side graphs
Text description of the animation showing trends in land-ice mass in these side-by-side graphs (0:06)

The animation features two line graphs on a black background, illustrating land ice loss in Antarctica and Greenland from 2002 to 2017. Both graphs display cyan data lines that trend downward, indicating overall ice mass loss over time.

The left graph, labeled “Antarctica” in dark blue at the bottom, shows fluctuating values with an overall declining trend. The series ends in 2017, marked by a magenta dot labeled “2017.”, at approximately −2000 gigatonnes (Gt). The right graph, labeled “Greenland,” shows a steeper and more consistent decline in land ice mass. It also ends in 2017, highlighted by a magenta dot, reaching roughly −4000 gigatonnes (Gt).

Both graphs share the same axis formatting: the vertical axes are labeled in gigatonnes, ranging from 0 to −4000 in 1000‑Gt increments, and the horizontal axes span the years 2002 to 2017. Above both graphs, the title “LAND ICE” appears prominently in white text. Additional text along the bottom provides information about the data source, reference, and graphic creator.

Credit: Zachary Labe

increasing sea levels began before 1993

Line graph showing sea level change in millimeters from 1870 to 1990, with an upward trend.
increasing sea levels began before 1993
Text description of the increasing sea levels began before 1993 image.

The image is a line graph illustrating sea level change measured in millimeters over the period from 1870 to 1990. The horizontal axis, labeled “YEAR,” spans from 1870 to 1990 and is marked at 20‑year intervals. The vertical axis, labeled “Sea Level Change (mm),” ranges from −50 to 250 millimeters, with tick marks at 50‑millimeter intervals. A blue line represents the sea level data, showing an overall upward trend with noticeable fluctuations, indicating a rise in sea level over time. By 1990, the sea level change reaches approximately 200 millimeters. A horizontal dashed line at the zero mark on the y‑axis indicates the baseline reference level from which changes are measured.

Credit: NASA

graphic from NOAA

A global map showing sea level trends with colored arrows.
graphic from NOAA
Text description of the graphic from NOAA image.

The image is a global map illustrating relative sea level trends, using colorful arrows to represent the direction and magnitude of change. The background shows a world map with continents in green and oceans in blue. Arrows placed across the map indicate sea level trends at various locations: red, yellow, and green arrows represent rising sea levels, while blue, purple, and magenta arrows indicate sinking sea levels, with color intensity reflecting the rate of change.

Across North America and Europe, numerous arrows of varying colors highlight a mix of rising and falling trends. Much of the Pacific Ocean is marked by green and yellow arrows, suggesting predominantly rising sea levels in those regions. Australia and Asia display a combination of colors, showing regional variability but with trends that are mostly increasing overall.

A legend at the bottom explains the arrow colors and directions, as well as the rate of which the sea levels change. 

Credit: NOAA

 

Climate Change and Extreme Weather

eastern United States was extremely cold

Map showing February 2015 U.S. divisional temperature ranks; reds depict warmth in the west, blues indicate cold in the east.
eastern United States was extremely cold
Text description of the eastern United States was extremely cold image.

The image is a map of the contiguous United States showing divisional average temperature ranks for February 2015, relative to historical averages from 1895–2015. The map uses a range of colors to represent temperature conditions compared to the long‑term record.

The western states, including California, Nevada, and Arizona, are shaded in reds, indicating much above‑average to record warmest temperatures. The central United States displays a mix of white and light blue, representing near‑average to below‑average temperatures. In contrast, the eastern states, including parts of Maine, Georgia, and the Carolinas, appear in darker blue shades, indicating much below‑average to record coldest conditions.

Two regions—one near Cleveland and another in central Pennsylvania—are highlighted as experiencing record coldest temperatures relative to the historical average. A legend at the bottom explains the color categories used on the map. The National Climatic Data Center logo appears on the right side, along with the map date of March 4, 2015.

Credit: National Centers for Environmental Information

we examined evaporation rates and condensation rates in a closed chamber

Two containers show liquid evaporation and condensation, with heating on the right side.
we examined evaporation rates and condensation rates in a closed chamber
Text description of the we examined evaporation rates and condensation rates in a closed chamber image.

The image is a comparative illustration showing two rectangular containers placed side by side, used to demonstrate the effects of temperature on evaporation and condensation rates. In both containers, a blue liquid layer is visible at the bottom, representing liquid water, while the space above contains small clustered symbols depicting water molecules in the vapor phase.

In the left container, the system is at equilibrium. A blue downward arrow on the left is labeled “Condensation Rate,” and a yellow upward arrow on the right is labeled “Evaporation Rate.” These labels indicate that evaporation and condensation are occurring at equal rates.

The right container shows a similar setup but is placed on a heating element, illustrated as a gray platform beneath the container representing added thermal energy. The same arrows and labels for condensation rate and evaporation rate are present. In this case, the labels indicate that both evaporation and condensation rates have increased due to the higher temperature, while the system remains in dynamic equilibrium.

Credit: David Babb @ Penn State is licensed under CC BY-NC 4.0(opens in a new window)

corresponding graph from NOAA

Graph of percent of land area from 1910 to 2020, showing fluctuating trends with an increase in recent years.
corresponding graph from NOAA
Text description of the corresponding graph from NOAA image.

The image is a line and bar graph showing the percent of land area affected over time from 1910 to 2020. The x-axis represents the years, marked in increments of 10 from 1910 to 2020. The y-axis indicates the percent of land area, ranging from 0 to 25. Pale blue vertical bars represent annual data points, and an orange line overlays the bars to indicate trends over time. The graph shows fluctuations in land area percentage, with notable increases in more recent years.

Credit: NOAA

Breaking the United States down into regions

Map of the United States showing percentage changes in heavy precipitation by region, with a color scale indicating 0% to over 40% change.
Breaking the United States down into regions
Text description of the Breaking the United States down into regions image.

The image is a color-coded map of the United States showing observed changes in very heavy precipitation across different regions. Each state or region is shaded according to a gradient scale indicating the percentage change in precipitation. The color scale at the bottom ranges from tan, representing less than 0% change, to dark blue, indicating changes of 40% or more. Alaska shows an 11% increase, while Hawaii displays a -12% change, shown in tan. The western United States has lighter blue shades, indicating 5% in the Southwest and 12% in the Northwest. Further east, the Great Plains shows a 16% change, while the Midwest is at 37%. The Southeast is marked with a 27% change, Puerto Rico shows a 33% change, and the Northeast, the darkest blue, shows a 71% increase. 

Credit: National Climate Assessment, 2014

the number of weak tornadoes has increased dramatically

Line graph showing tornadoes by year from 1950 to 2016, categorized by intensity: Weak (orange), Strong (red), Violent (purple).
the number of weak tornadoes has increased dramatically
Text description of the the number of weak tornadoes has increased dramatically image.

The image is a line graph titled "Tornadoes by year since 1950," displaying the annual count of tornadoes in the United States from 1950 to 2016. There are three color-coded lines representing different tornado intensities on the Enhanced Fujita Scale: Weak (0-1) in orange, Strong (2-3) in red, and Violent (4-5) in magenta. The y-axis shows the number of tornadoes ranging from 0 to 1,800, marked in increments of 200, while the x-axis displays years from 1950 to 2016. The orange line shows an increase in weak tornadoes, with fluctuations, peaking significantly around 2011. The red line indicates a lower and more consistent count of strong tornadoes. The purple line shows a relatively stable and low number of violent tornadoes. The graph has a dark gray background with grid lines for reference.

Credit: Ian Livingston / ustornadoes.com

the list of costliest weather disasters in the U.S from 1980 through 2017

A table listing hurricanes Katrina, Harvey, Maria, and Sandy with details on dates, summaries, costs, and deaths.
the list of costliest weather disasters in the U.S from 1980 through 2017
Text description of the the list of costliest weather disasters in the U.S from 1980 through 2017 image.

The image is a table detailing information about several notable hurricanes. It consists of five columns: Event, Begin Date, End Date, Summary, CPI-Adjusted Estimated Cost (In Billions), and Deaths. Four hurricanes are listed: Katrina, Harvey, Maria, and Sandy. Each row provides specific details about the hurricane, including the category, affected areas, and consequences.

EventBegin DateEnd DateSummaryCPI-Adjusted Estimated Cost (in Billions)Deaths
Hurricane Katrina
August 2005
2005-08-252005-08-30Category 3 hurricane initially impacts the U.S. as a Category 1 near Miami, FL, then as a strong Category 3 along the eastern LA-western MS coastlines, resulting in severe storm surge damage (maximum surge probably exceeded 30 feet) along the LA-MS-AL coasts, wind damage, and the failure of parts of the levee system in New Orleans. Inland effects included high winds and some flooding in the states of AL, MS, FL, TN, KY, IN, OH, and GA.$163.81,833
Hurricane Harvey
August 2017
2017-08-252017-08-31Category 4 hurricane made landfall near Rockport, Texas causing widespread damage. Harvey's devastation was most pronounced due to the large region of extreme rainfall producing historic flooding across Houston and surrounding areas. More than 30 inches of rainfall fell on 6.9 million people, while 1.25 million experienced over 45 inches and 11,000 had over 50 inches, based on 7-day rainfall totals ending August 31. This historic U.S. rainfall caused massive flooding that displaced over 30,000 people and damaged or destroyed over 200,000 homes and businesses.$126.389
Hurricane Maria
September 2017
2017-09-192017-09-21Category 4 hurricane made landfall in southeast Puerto Rico after striking the U.S. Virgin Island of St. Croix. Maria's high winds caused widespread devastation to Puerto Rico's transportation, agriculture, communication and energy infrastructure. Extreme rainfall of up to 37 inches produced widespread flooding and mudslides across the island. The interruption to commerce and standard living conditions will be sustained for a long period, as much of Puerto Rico's infrastructure is rebuilt. Maria tied Hurricane Wilma (2005) for the most rapid intensification strengthening from tropical depression to Category 5 storm in 54 hours. Maria's landfall at Category 4 strength gives the U.S. a record three Category 4+ landfalls this year (Maria, Harvey, and Irma). A reanalysis on the number of deaths due to Maria is being conducted and will be updated in the coming months.$90.965
Hurricane Sandy
October 2012
2012-10-302012-10-31Extensive damage across several northeastern states (MD, DE, NJ, NY, CT,MA,RI) due to high wind and coastal storm surg, particularly NY and NJ. Damage from wind, rain and heavy snow.$71.5159
Credit: NCEI

40-60 inches of rain

Color-coded map showing rainfall levels from 1 to 60.58 inches in Texas and surrounding areas, with the highest recorded in Nederland, TX.
40-60 inches of rain
Text description of the 40-60 inches of rain image.

The image is a weather map depicting rainfall totals across Texas and surrounding states, with a primary focus on Texas. Rainfall amounts are shown using a color‑coded scale measured in inches. The highest totals are concentrated along the Texas Gulf Coast, centered around Houston, and are depicted in bright green to yellow shades, representing rainfall amounts between 30 and 60.58 inches.

Surrounding areas across Texas and into neighboring states display lower rainfall totals shown in lighter colors, including pink, blue, and purple, indicating ranges from 10 to 29.99 inches. The outermost regions are shaded in orange, representing the lowest rainfall amounts of 1 to 9.99 inches.

A black line labeled “Track” marks the path of Hurricane Harvey (2017) across the region. A legend on the right side of the map explains the rainfall color categories. In the bottom‑right corner, a note identifies the maximum recorded rainfall: “Maximum: 60.58 inches, Nederland 1 SW, TX.”

Credit: Weather Prediction Center

 

Predicting the Misty, Distant Future

older climate model simulations

Graph of temperature anomalies from 1975 to 2017 with CMIP3 Ensemble and various datasets, showing a general upward trend.
older climate model simulations
Text description of the older climate model simulations image.

The image is a graph illustrating temperature anomalies from the years 1975 to 2017, using 1980-1999 as a reference point. The x-axis represents the years, divided into "Hindcast" (1975-2000) and "Forecast" (2000-2017). The y-axis shows the temperature anomaly. A black line represents the CMIP3 Ensemble mean along with a gray shaded area indicating the 95% range. Various colored lines plot different datasets: HadCRUT4 in blue, Cowtan & Way in orange, NOAA NCEI in light blue, and GISTEMP in red, with 2017 data estimated and highlighted in red. The lines mostly follow the same trend, rising over time.

Credit: Gavin Schmidt

climate models predict sea-level increases

Graph showing historical sea level rise with projections from 1700 to 2100.
climate models predict sea-level increases
Text description of the climate models predict sea-level increases image.

The image is a line graph depicting sea level changes over time, spanning from the year 1700 to 2100. The x-axis represents the year, while the y-axis represents sea level in meters. The graph shows a historical trend of sea level rise, with data represented by a purple line with a shaded light purple area indicating fluctuations until around 2000. Post-2000, the graph includes projections represented by two lines, one in red and one in blue, each with their respective shaded areas suggesting potential ranges of sea level increase. The red line shows a steeper increase compared to the blue line, indicating different projection scenarios, but still with an increasing trend.

Credit: Intergovernmental Panel on Climate Change

 

Case Study: Ozone Depletion