AKALARAZCACOCTDEFLGAHIIAIDILINKSKYLAMAMDMEMIMNMOMSMTNCNDNENHNJNMNVNYOHOKORPARISCSDTNTXUTVAVTWAWIWVWYDCUSAPRWPISkip to main content
  • About
  • States

      A–H

    • Alabama
    • Alaska
    • Arizona
    • Arkansas
    • California
    • Colorado
    • Connecticut
    • Delaware
    • Florida
    • Georgia
    • Hawai‘i

      I–M

    • Idaho
    • Illinois
    • Indiana
    • Iowa
    • Kansas
    • Kentucky
    • Louisiana
    • Maine
    • Maryland and the District of Columbia
    • Massachusetts
    • Michigan
    • Minnesota
    • Mississippi
    • Missouri
    • Montana

      N–P

    • Nebraska
    • Nevada
    • New Hampshire
    • New Jersey
    • New Mexico
    • New York
    • North Carolina
    • North Dakota
    • Ohio
    • Oklahoma
    • Oregon
    • Pennsylvania
    • Puerto Rico and the U.S. Virgin Islands

      Q–Z

    • Rhode Island
    • South Carolina
    • South Dakota
    • Tennessee
    • Texas
    • Utah
    • Vermont
    • Virginia
    • Washington
    • West Virginia
    • Wisconsin
    • Wyoming
    • Western Pacific Islands
  • Supplemental Materials
    • Abbreviations and Acronyms
    • Recommended Citations
    • Resources
    • Technical Details and Additional Information
  • Downloads
  • Credits

NOAA National Centers
for Environmental Information

State Climate Summaries 2022

NEW YORK

Key Messages   Narrative   Downloads  

New York Sunset - HDR
Photo by Jerry Ferguson
License: CC BY

Key Message 1

Temperatures in New York have risen almost 2.5°F since the beginning of the 20th century. Under a higher emissions pathway, historically unprecedented warming is projected during this century. Extreme heat is a particular concern for densely populated urban areas such as New York City, where high temperatures and high humidity can cause dangerous conditions.

Key Message 2

Since 1880, sea level has risen by about 13 inches along the coast of New York, more than the global average rise of 7–8 inches. Global average sea level is projected to rise another 1–4 feet by 2100, but levels along the coast of New York will likely be higher due to local and regional factors. Sea level rise will increase the frequency, extent, and severity of coastal flooding, which is a grave risk to dense, high-value development along New York’s coastline.

Key Message 3

New York has experienced a large increase in the frequency and intensity of extreme precipitation events, and further increases are projected. Increases in winter and spring precipitation are projected, raising the risk of springtime flooding, which could cause delayed planting and reduced yields.

Catskills falls
Photo by chethanjs
License: CC BY-NC

NEW YORK

New York is regionally diverse, encompassing the Nation’s most populous metropolitan area, as well as large expanses of sparsely populated but ecologically and agriculturally important areas. The state’s climate is heavily influenced by several geographic features. The Atlantic Ocean has a moderating effect on coastal areas, while the Great Lakes and Lake Champlain moderate the northwestern and northeastern parts of the state, respectively. During much of the year, the prevailing westerly flow brings air masses from the North American interior across the entire region, with occasional episodes of bitter cold during winter. The jet stream, which is often located near or over the region during winter, brings frequent storm systems that cause cloudy skies, windy conditions, and precipitation. New York is often affected by extreme events, such as floods, droughts, heat waves, hurricanes, nor’easters, and snow and ice storms.

   

Figure 1

Observed and Projected Temperature Change
Time series of observed and projected temperature change (in degrees Fahrenheit) for New York from 1900 to 2100 as described in the caption. Y-axis values range from minus 4.3 to positive 16.9 degrees. Observed annual temperatures from 1900 to 2020 show variability and range from about minus 3.3 to positive 4.5 degrees. By the end of the century, projected increases in temperature range from 3.2 to 10.1 degrees under the lower emissions pathway and from 8.6 to 15.9 degrees under the higher pathway.
Figure 1: Observed and projected changes (compared to the 1901–1960 average) in near-surface air temperature for New York. Observed data are for 1900–2020. Projected changes for 2006–2100 are from global climate models for two possible futures: one in which greenhouse gas emissions continue to increase (higher emissions) and another in which greenhouse gas emissions increase at a slower rate (lower emissions). Temperatures in New York (orange line) have risen almost 2.5°F since the beginning of the 20th century. Shading indicates the range of annual temperatures from the set of models. Observed temperatures are generally within the envelope of model simulations of the historical period (gray shading). Historically unprecedented warming is projected during this century. Less warming is expected under a lower emissions future (the coldest end-of-century projections being about 3°F warmer than the historical average; green shading) and more warming under a higher emissions future (the hottest end-of-century projections being about 11°F warmer than the hottest year in the historical record; red shading). Sources: CISESS and NOAA NCEI.

Since the beginning of the 20th century, temperatures in New York have risen almost 2.5°F, and temperatures in the 2000s have been higher than in any other historical period (Figure 1). As of 2020, the hottest year on record for New York was 2012, with a statewide average temperature of 48.8°F, more than 4°F above the long-term average (44.5°F). This warming has been concentrated in the winter and spring, while summers have not warmed as much (Figures 2a and 2b). Summer warming is more influenced by the number of warm nights than by the occurrence of very hot days (Figures 2c and 2d). The state has experienced an increase in the number of warm nights and a decrease in the number of very cold nights (Figure 3). The increase in winter temperatures has had an identifiable effect on Great Lakes ice cover. Since 1998, there have been several years when Lakes Erie and Ontario were mostly ice-free (Figure 4).

Figure 2

   

a)

Observed Winter Temperature
Graph of the observed winter average temperature for New York from 1895–96 to 2019–20 as described in the caption. Y-axis values range from 10 to 35 degrees Fahrenheit. Annual values show year-to-year variability and range from about 14 to 31 degrees. Prior to 1980, multiyear values are mostly below the long-term average of 22.2 degrees Fahrenheit. One notable exception is the 1950 to 1954 period, which is well above average. Since 1980, multiyear values are all near or above average. The 1905 to 1909 period has the lowest multiyear value and the 1995 to 1999 the highest.
   

b)

Observed Summer Temperature
Graph of the observed summer average temperature for New York from 1895 to 2020 as described in the caption. Y-axis values range from 62 to 72 degrees Fahrenheit. Annual values show year-to-year variability and range from about 62 to 70 degrees. Multiyear values also show variability and are all near or below the long-term average of 66.1 degrees between 1895 and 1929, mostly above average between 1930 and 1959, and all near or below average between 1960 and 1989. Since 1994, multiyear values are all near or above average. The 1925 to 1929 period has the lowest multiyear value and the 2010 to 2014 and 2015 to 2020 periods the highest.
   

c)

Observed Number of Very Hot Days
Graph of the observed annual number of very hot days for New York from 1900 to 2020 as described in the caption. Y-axis values range from 0 to 6 days. Annual values show year-to-year variability and range from 0.2 to 5.6 days. Between 1900 and 1959, multiyear values are mostly near or above the long-term average of 1.1 days. Notably, the 1930 to 1934 period is well above average and has the highest multiyear value. Since 1960, multiyear values are all below average. The 1970 to 1974 period has the lowest multiyear value.
   

d)

Observed Number of Warm Nights
Graph of the observed annual number of warm nights for New York from 1900 to 2020 as described in the caption. Y-axis values range from 2 to 14 nights. Annual values show year-to-year variability and range from about 3 to 12 nights. Multiyear values also show variability and are mostly above average between 1900 and 1959, mostly below average between 1960 and 2004, and all above average since 2005. The 1960 to 1964 period has the lowest multiyear value and the 2010 to 2014 period the highest.
   

e)

Observed Annual Precipitation
Graph of the observed total annual precipitation for New York from 1895 to 2020 as described in the caption. Y-axis values range from 30 to 60 inches. Annual values show year-to-year variability and range from about 32 to 56 inches. Multiyear values are mostly below the long-term average of 40.9 inches between 1895 and 1969 but are mostly above average since 1970. The 1960 to 1964 period, which is well below average, has the lowest multiyear value, and the 2005 to 2009 period, which is well above average, has the highest.

Figure 2: Observed (a) winter (December–February) average temperature, (b) summer (June–August) average temperature, (c) annual number of very hot days (maximum temperature of 95°F or higher), (d) annual number of warm nights (minimum temperature of 70°F or higher), and (e) total annual precipitation for New York from (a, b, e) 1895 to 2020 and (c, d) 1900 to 2020. Dots show annual values. Bars show averages over 5-year periods (last bar is a 6-year average). The horizontal black lines show the long-term (entire period) averages: (a) 22.2°F, (b) 66.1°F, (c) 1.1 days, (d) 5.8 nights, (e) 40.9 inches. Recent years have seen some of the warmest winter and summer temperatures in the historical record. The number of very hot days peaked during the 1930–1934 period, while the number of warm nights was highest during the 2010–2014 period. Total annual precipitation has been significantly above average since 2000. Sources: CISESS and NOAA NCEI. Data: (a, b, e) nClimDiv, (c, d) GHCN-Daily from 12 long-term stations.

   
Observed Number of Very Cold Nights
Graph of the observed annual number of very cold nights for New York from 1900 to 2020 as described in the caption. Y-axis values range from 5 to 30 nights. Annual values show year-to-year variability and range from about 5 to about 29 nights. Multiyear values also show variability and are all above the long-term average of 16 nights between 1900 and 1924, mostly near or below average between 1925 and 1954, and all near or above average between 1955 and 1989. Since 1990, multiyear values are all below average. The 1950 to 1954 period has the lowest multiyear value and the 1960 to 1964 period the highest.
Figure 3: Observed annual number of very cold nights (minimum temperature of 0°F or lower) for New York from 1900 to 2020. Dots show annual values. Bars show averages over 5-year periods (last bar is a 6-year average). The horizontal black line shows the long-term (entire period) average of 16 nights. The number of very cold nights has been below average since 1990, reflecting a long-term winter warming trend. Sources: CISESS and NOAA NCEI. Data: GHCN-Daily from 12 long-term stations.
   
Annual Maximum Ice Cover for Lake Erie and Lake Ontario
Time series of the observed annual maximum ice cover extent (in percent) for Lakes Erie (top panel) and Ontario (bottom panel) from 1973 to 2020 as described in the caption. Y-axis labels range from 0 to 100 for both graphs. Annual values show wide variability for both lakes. For Lake Erie, values are mostly above 80 percent between 1973 and 1997 and mostly above 70 percent since then. Record-low values occurred in 1998, 2002, 2012, and 2020. Values of 100 percent occurred in 1978, 1979, and 1996. For Lake Ontario, values are mostly below 50 percent across the entire period. Two exceptions are 1979 and 2015, with the highest values of more than 80 percent. Record-low values of less than 10 percent occurred in 1987, 1998, 2002, 2012, and 2017.
Figure 4: Annual maximum ice cover extent (%) for Lake Erie (top) and Lake Ontario (bottom) from 1973 to 2020. During most years, Lake Erie was nearly frozen over, while Lake Ontario was mostly ice-free. There were 6 years when Lake Erie was mostly ice-free, and all of those occurred since 1998. Since 2006, Lake Ontario’s ice cover extent has remained below 40%, except for higher values during the cold 2013–14 and 2014–15 winters. Source: NOAA GLERL.

Annual average precipitation is slightly more than 40 inches statewide but varies regionally, with mountainous areas receiving near 50 inches per year. Statewide annual precipitation has ranged from a low of 31.6 inches in 1964 to a high of 55.7 inches in 2011. The driest multiyear periods were in the early 1930s and early 1960s and the wettest in the late 1970s and since 2000 (Figure 2e). The driest consecutive 5-year interval was 1962–1966, with an annual average of 33.9 inches, and the wettest was 2007–2011, with an annual average of 46.8 inches. New York has recently experienced a large increase in the number of 2-inch extreme precipitation events (Figure 5), which peaked during the 2010–2014 period. The annual precipitation record, set in 2011, was partially due to extreme precipitation events caused by Hurricane Irene and Tropical Storm Lee in late August and early September, respectively. Many areas of eastern New York received more than 7 inches of rain from Hurricane Irene, with more than 18 inches in some locations in the Catskill Mountains. Less than two weeks later, Tropical Storm Lee brought additional heavy rainfall, with more than 12 inches falling in the Susquehanna River basin. The extreme rainfall from these two events caused devastating flooding and damage. Nontropical systems can also bring extreme rainfall, such as during August 12–13, 2014, when the state 24-hour precipitation record was broken (13.57 inches) at Islip. New York experienced extreme drought during 2016 and severe drought during 2020, which had major impacts on agriculture in some parts of the state.

   
Observed Number of 2-Inch Extreme Precipitation Events
Graph of the observed annual number of 2-inch extreme precipitation events for New York from 1900 to 2020 as described in the caption. Y-axis values range from 0 to 3.0 days. Annual values show year-to-year variability and range from 0.1 to 2.7 days. Prior to 1995, multiyear values show variability but are mostly near or below the long-term average of 1.0 days, with the notable exception of the 1900 to 1904 period, which is well above average. Since 1995, multiyear values are all above average. The 1960 to 1964 period has the lowest multiyear value and the 2010 to 2014 period the highest.
Figure 5: Observed annual number of 2-inch extreme precipitation events (days with precipitation of 2 inches or more) for New York from 1900 to 2020. Dots show annual values. Bars show averages over 5-year periods (last bar is a 6-year average). The horizontal black line shows the long-term (entire period) average of 1.0 days. A typical station experiences 1 event each year. Since 1995, New York has experienced an above average number of 2-inch extreme precipitation events, with the highest frequency occurring during the 2010–2014 period. Sources: CISESS and NOAA NCEI. Data: GHCN-Daily from 16 long-term stations.

In addition to causing heavy flooding inland, hurricanes and tropical storms can cause coastal damage from storm surge and flooding. In late October 2012, Superstorm Sandy (a post-tropical storm) caused massive storm surge in New York City. The extensive flooding from the storm surge inundated subway tunnels, damaged the electrical grid, overwhelmed sewage treatment plants, and destroyed thousands of homes. Superstorm Sandy caused tens of billions of dollars in damages in the state, with an estimated $19 billion in damages to New York City.

Winter storms occur frequently across the state due to the large temperature contrast between the cold interior of the North American continent and the warm moist air of the western Atlantic. These storms, popularly known as nor’easters, can produce crippling snowfall, flood-producing rainfall, hurricane-force winds, and dangerous cold. The Blizzard of 1996, January 6–8, was a classic nor’easter, dropping more than 20 inches of snow in New York City and causing an estimated $70 million in damages across the state. During the Blizzard of 2016, January 22–24, more than 30 inches of snow fell in some areas, such as Kennedy Airport, where near-blizzard conditions persisted for 9 hours; travel bans were also enacted in New York City. The northern part of the state frequently experiences heavy lake-effect snows due to the warming and moistening of arctic air masses as they pass over the Great Lakes. This results in intense bands of heavy snowfall over areas downwind of Lakes Ontario and Erie. During November 17–19, 2014, a lake-effect snowstorm delivered more than 5 feet of snow just east of Buffalo. A second lake-effect event immediately followed during November 19–20, dropping as much as an additional 4 feet of snow; snowfall rates as high as 6 inches per hour were reported, with some areas receiving more than 3 feet of snow in less than 12 hours. These two storms were considered unprecedented events but were characteristic of lake-effect snows that affect the state. The Great Lakes can also experience flooding and erosion due to high water levels. Wet spring conditions contributed to record-high water levels and flooding in 2017 and 2019. Cleanup costs, infrastructure damages, and agricultural losses were in the millions of dollars.

Under a higher emissions pathway, historically unprecedented warming is projected during this century (Figure 1). Even under a lower emissions pathway, annual average temperatures are projected to most likely exceed historical record levels by the middle of this century. However, a large range of temperature increases is projected under both pathways, and under the lower pathway, a few projections are only slightly warmer than historical records. Heat waves are projected to be more intense. Extreme heat is a particular concern for New York City and other urban areas, where the urban heat island effect raises summer temperatures. High temperatures combined with high humidity can create dangerous heat index values. By contrast, cold waves are projected to become less intense.

Increasing temperatures raise concerns for sea level rise in coastal areas. Since 1880, sea level has risen by about 13 inches along the coast of New York, more than the global average rise of about 7–8 inches since 1900. Global sea level is projected to rise another 1–4 feet by 2100 as a result of both past and future emissions from human activities (Figure 6), but local and regional factors are expected to cause New York’s sea level to rise more than the global projection. Even if storm patterns remain the same, sea level rise will increase the frequency, extent, and severity of coastal flooding. Sea level rise has caused an increase in tidal floods associated with nuisance-level impacts. Nuisance floods are events in which water levels exceed the local threshold (set by NOAA’s National Weather Service) for minor impacts. These events can damage infrastructure, cause road closures, and overwhelm storm drains. As sea level has risen along the New York coastline, the number of tidal flood days (all days exceeding the nuisance-level threshold) has also increased, with the greatest number occurring in 2009 and 2017 (Figure 7). This is a particular concern for New York because of dense, high-value development along the coastline.

   
Observed and Projected Changes in Global Sea Level
Line graph of observed and projected change in global mean sea level from 1800 to 2100 as described in the caption. Y-axis values are labeled from 0 to 8 feet. The historical line shows that observed sea level from 1800 to 1900 was relatively constant but increased by 7 to 8 inches by 2015. Six lines of increasing steepness extend from the historical line, representing the six projected sea level rise scenarios from Low (a half foot) to Extreme (8 feet). Two box and whisker plots to the right of the x-axis show the likely and possible ranges of sea level rise under lower (left) and higher (right) emissions scenarios.
Figure 6: Global mean sea level (GMSL) change from 1800 to 2100. Projections include the six U.S. Interagency Sea Level Rise Task Force GMSL scenarios (Low, navy blue; Intermediate-Low, royal blue; Intermediate, cyan; Intermediate-High, green; High, orange; and Extreme, red curves) relative to historical geological, tide gauge, and satellite altimeter GMSL reconstructions from 1800–2015 (black and magenta lines) and the very likely ranges in 2100 under both lower and higher emissions futures (teal and dark red boxes). Global sea level rise projections range from 1 to 8 feet by 2100, with a likely range of 1 to 4 feet. Source: adapted from Sweet et al. 2017.
   
Observed and Projected Annual Number of Tidal Floods for The Battery, NY
Graph of the observed and projected number of tidal flood days at The Battery, New York, from 1920 to 2100 (top panel) as described in the caption. The bottom panel is a magnified view of the observed data. In the top panel, y-axes values range from 0 to 400 days, with a dashed line indicating the maximum possible number of tidal flood days per year (365). In the bottom panel, y-axis values and observed values range from 0 to 15 days. Tidal flood days are sporadic between the first recorded event in 1926 until 1958, often with gaps of 1 to 3 years and annual values all below 5 days. Since 1958, the frequency and annual number of tidal flood days have increased, and since 2004, tidal flooding has occurred every year. A record high of 15 days was recorded in both 2009 and 2017. The Battery is projected to experience about 60 to 170 days by 2050 under the Intermediate-Low and Intermediate scenarios, respectively, and about 240 to 365 days by 2100.
Figure 7: Number of tidal flood days per year at The Battery, NY, for the observed record (1920–2020; orange bars) and projections for two NOAA (2017) sea level rise scenarios (2021–2100): Intermediate (dark blue bars) and Intermediate-Low (light blue bars). The NOAA (2017) scenarios are based on local projections of the GMSL scenarios shown in Figure 6. Sea level rise has caused a gradual increase in tidal floods associated with nuisance-level impacts. The greatest number of tidal flood days (all days exceeding the nuisance-level threshold) occurred in 2009 and 2017 at The Battery. Projected increases are large even under the Intermediate-Low scenario. Under the Intermediate scenario, tidal flooding is projected to occur nearly every day of the year by the end of the century. Additional information on tidal flooding observations and scenarios is available at http://statesummaries.ncics.org/technicaldetails. Sources: CISESS and NOAA NOS.

Winter and spring precipitation is projected to increase in New York (Figure 8). This could result in enhanced snowpack at higher elevations, but with warmer temperatures, more of the precipitation will fall as rain, particularly at lower elevations. In addition, the frequency and intensity of extreme precipitation events are projected to increase, potentially increasing the frequency and intensity of floods. Heavier precipitation increases the risk of springtime flooding, which could pose a particular threat to New York’s agricultural industry by delaying planting and resulting in yield losses.

   
Projected Change in Winter Precipitation
Map of the contiguous United States showing the projected changes in total winter precipitation by the middle of this century as described in the caption. Values range from less than minus 20 to greater than positive 15 percent. Winter precipitation is projected to increase across most of the country, with the exception of the far southern portions of the southwestern and Gulf states. The greatest, statistically significant increases are projected for the Northern Great Plains, the Midwest, and the Northeast. The majority of New York is projected to see a statistically significant increase of 15 percent or more, with the exception of the southern third of the state, with a projected statistically significant increase of 10 to 15 percent.
Figure 8: Projected change in winter (December–February) precipitation (%) for the middle of the 21st century compared to the late 20th century under a higher emissions pathway. Hatching represents areas where the majority of climate models indicate a statistically significant change. By the middle of this century, if greenhouse gas emissions continue to rise rapidly, winter precipitation is projected to increase by 10%–15% in southern New York and 15%–20% in northern New York. Sources: CISESS and NEMAC. Data: CMIP5.

Details on observations and projections are available on the Technical Details and Additional Information page.

Lead Authors
Rebekah Frankson, Cooperative Institute for Satellite Earth System Studies (CISESS)
Kenneth E. Kunkel, Cooperative Institute for Satellite Earth System Studies (CISESS)
Contributing Authors
Sarah M. Champion, Cooperative Institute for Satellite Earth System Studies (CISESS)
Brooke C. Stewart, Cooperative Institute for Satellite Earth System Studies (CISESS)
William Sweet, NOAA National Ocean Service
Arthur T. DeGaetano, Cornell University
Jessica Spaccio, NOAA Northeast Regional Climate Center, Cornell University
Recommended Citation
Frankson, R., K.E. Kunkel, S.M. Champion, B.C. Stewart, W. Sweet, A.T. DeGaetano, and J. Spaccio, 2022: New York State Climate Summary 2022. NOAA Technical Report NESDIS 150-NY. NOAA/NESDIS, Silver Spring, MD, 5 pp.

RESOURCES

  • Blake, E.S., T.B. Kimberlain, R.J. Berg, J.P. Cangialosi, and J.L. Beven II, 2013: Tropical Cyclone Report: Hurricane Sandy, 22–29 October 2012. AL182012. National Oceanic and Atmospheric Administration, National Hurricane Center, Miami, FL, 157 pp. http://www.nhc.noaa.gov/data/tcr/AL182012_Sandy.pdf
  • Kunkel, K.E., L.E. Stevens, S.E. Stevens, L. Sun, E. Janssen, D. Wuebbles, J. Rennells, A. DeGaetano, and J.G. Dobson, 2013: Regional Climate Trends and Scenarios for the U.S. National Climate Assessment Part 1. Climate of the Northeast U.S. NOAA Technical Report NESDIS 142-1. National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, Silver Spring, MD, 87 pp. http://nesdis-prod.s3.amazonaws.com/migrated/NOAA_NESDIS_Tech_Report_142-1-Climate_of_the_Northeast_US.pdf
  • Lott, N., T. Ross, and M. Sittel, 1996: The Winter of '95–'96: A Season of Extremes. Technical Report 96-02. National Oceanic and Atmospheric Administration, National Climatic Data Center, Asheville, NC, 32 pp. http://www1.ncdc.noaa.gov/pub/data/techrpts/tr9602/tr9602.pdf
  • Lumia, R., G.D. Firda, and T.L. Smith, 2014: Floods of 2011 in New York. Scientific Investigations Report 2014-5058. U.S. Geological Survey, Reston, VA, 252 pp. http://dx.doi.org/10.3133/sir20145058
  • Melillo, J.M., T.C. Richmond, and G.W. Yohe, 2014: Climate Change Impacts in the United States: The Third National Climate Assessment. Washington, DC, 841 pp. http://dx.doi.org/10.7930/J0Z31WJ2
  • MRCC, n.d.: cli-MATE: MRCC Application Tools Environment. Midwestern Regional Climate Center, Urbana-Champaign, IL. http://mrcc.illinois.edu/CLIMATE/
  • NOAA GLERL, n.d.: Historical Ice Cover. National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory, Ann Arbor, MI. http://www.glerl.noaa.gov/data/ice/#historical
  • NOAA NCDC, n.d.: Climate of Ohio. National Oceanic and Atmospheric Administration, National Climatic Data Center, Asheville, NC, 10 pp. http://www.ncei.noaa.gov/data/climate-normals-deprecated/access/clim60/states/Clim_OH_01.pdf
  • NOAA NCEI, n.d.: Climate at a Glance: Statewide Time Series, New York. National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Asheville, NC, accessed April 20, 2021. http://www.ncdc.noaa.gov/cag/statewide/time-series/30/
  • NOAA NCEI, n.d.: Regional Snowfall Index (RSI). National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Asheville, NC. http://www.ncdc.noaa.gov/snow-and-ice/rsi/historic-storms
  • NOAA NIDIS, 2017: Quarterly Climate Impacts and Outlook for the Great Lakes Region—June 2017. National Oceanic and Atmospheric Administration, National Integrated Drought Information System, Boulder, CO, 2 pp. http://www.nrcc.cornell.edu/services/reports/reports/GL2017-06.pdf
  • NOAA NIDIS, 2017: Quarterly Climate Impacts and Outlook for the Great Lakes Region—September 2017. National Oceanic and Atmospheric Administration, National Integrated Drought Information System, Boulder, CO, 2 pp. http://www.drought.gov/sites/default/files/2020-07/Great%20Lakes%20Summer%202017.pdf
  • NOAA NIDIS, 2019: Quarterly Climate Impacts and Outlook for the Great Lakes Region—June 2019. National Oceanic and Atmospheric Administration, National Integrated Drought Information System, Boulder, CO, 2 pp. http://www.drought.gov/sites/default/files/2020-10/Great%20Lakes%20Spring%202019%20v2.pdf
  • NOAA NIDIS, 2019: Quarterly Climate Impacts and Outlook for the Great Lakes Region—September 2019. National Oceanic and Atmospheric Administration, National Integrated Drought Information System, Boulder, CO, 2 pp. http://www.drought.gov/sites/default/files/2020-10/Great%20Lakes%20Summer%202019%20v2.pdf
  • NOAA NWS, 1996: Service Assessment: Blizzard of ’96: January 6–8, 1996. National Oceanic and Atmospheric Administration, National Weather Service, Silver Spring, MD, 53 pp. http://www.weather.gov/media/publications/assessments/bz-mrg.pdf
  • NOAA NWS, 2012: Regional Service Assessment: Remnants of Tropical Storm Lee and the Susquehanna River Basin Flooding of September 6–10, 2011. National Oceanic and Atmospheric Administration, National Weather Service, Eastern Region Headquarters, Bohemia, NY, 64 pp. http://www.weather.gov/media/publications/assessments/LeeSusquehanna12.pdf
  • NOAA NWS, 2014: Lake Effect Summary: November 17–19, 2014. National Oceanic and Atmospheric Administration, National Weather Service, Buffalo Weather Forecast Office, Cheektowaga, NY. http://www.weather.gov/buf/lake1415_stormb.html
  • NOAA NWS, n.d.: Historic Long Island Flash Flooding—August 12–13, 2014. National Oceanic and Atmospheric Administration, National Weather Service, New York Weather Forecast Office, Upton, NY. http://www.weather.gov/okx/HistoricFlooding_081314
  • NRCC, 2016: January Blizzard. Northeast Regional Climate Center, Cornell University, Ithaca, NY, 2 pp. http://www.nrcc.cornell.edu/services/special/reports/blizzard2016.pdf
  • NRCC, n.d.: Northeast Regional Climate Center SC ACIS (Applied Climate Information System) Version 2. Northeast Regional Climate Center, Cornell University, Ithaca, NY, last modified May 4, 2021. http://scacis.rcc-acis.org/
  • NRCC, n.d.: Publications & Services: How to Access Our Data. Northeast Regional Climate Center, Cornell University, Ithaca, NY. http://www.nrcc.cornell.edu/services/access/access.html
  • Sweet, W., G. Dusek, J. Obeysekera, and J. Marra, 2018: Patterns and Projections of High Tide Flooding Along the U.S. Coastline Using a Common Impact Threshold. NOAA Technical Report NOS CO-OPS 086. National Oceanic and Atmospheric Administration, National Ocean Service, Center for Operational Oceanographic Products and Services, Silver Spring, MD, 56 pp. http://tidesandcurrents.noaa.gov/publications/techrpt86_PaP_of_HTFlooding.pdf
  • Sweet, W., S. Simon, G. Dusek, D. Marcy, W. Brooks, M. Pendleton, and J. Marra, 2021: 2021 State of High Tide Flooding and Annual Outlook. NOAA High Tide Flooding Report. National Oceanic and Atmospheric Administration, National Ocean Service, Center for Operational Oceanographic Products and Services, Silver Spring, MD, 28 pp. http://tidesandcurrents.noaa.gov/publications/2021_State_of_High_Tide_Flooding_and_Annual_Outlook_Final.pdf
  • Sweet, W.V., R.E. Kopp, C.P. Weaver, J. Obeysekera, R.M. Horton, E.R. Thieler, and C. Zervas, 2017: Global and Regional Sea Level Rise Scenarios for the United States. NOAA Technical Report NOS CO-OPS 083. National Oceanic and Atmospheric Administration, National Ocean Service, Center for Operational Oceanographic Products and Services, Silver Spring, MD, 75 pp. http://tidesandcurrents.noaa.gov/publications/techrpt83_Global_and_Regional_SLR_Scenarios_for_the_US_final.pdf
  • U.S. Census Bureau, n.d.: United States Census 2010: Interactive Population Map. U.S. Census Bureau, Suitland, MD. http://web.archive.org/web/20150516202941/http://www.census.gov/2010census/popmap/
  • Vose, R.S., D.R. Easterling, K.E. Kunkel, A.N. LeGrande, and M.F. Wehner, 2017: Temperature changes in the United States. In: Climate Science Special Report: Fourth National Climate Assessment, Volume I. Wuebbles, D.J., D.W. Fahey, K.A. Hibbard, D.J. Dokken, B.C. Stewart, and T.K. Maycock, Eds. U.S. Global Change Research Program, Washington, DC, 185–206. http://doi.org/10.7930/J0N29V45

Title

NOAA logo   CISESS

Contact NOAA’s Technical Support Unit

This website contains copyrighted images.

NCICS Department of Commerce logo