Climate.gov Data Snapshots: Precipitation - Monthly Outlook
Principal Investigator(s): View help for Principal Investigator(s) National Oceanic and Atmospheric Administration
Version: View help for Version V2
Name | File Type | Size | Last Modified |
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data | 06/23/2025 07:57:PM | ||
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application/pdf | 6.2 MB | 06/17/2025 04:57:PM |
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application/pdf | 1.2 MB | 06/17/2025 04:57:PM |
Project Citation:
National Oceanic and Atmospheric Administration. Climate.gov Data Snapshots: Precipitation - Monthly Outlook. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-06-23. https://doi.org/10.3886/E233225V2
Project Description
Project Title:
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Climate.gov Data Snapshots: Precipitation - Monthly Outlook
Summary:
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This upload includes two additional files:
* Precipitation - Monthly Outlook _NOAA Climate.gov.pdf is a screenshot of the main Climate.gov site for these snapshots (https://www.climate.gov/maps-data/data-snapshots/data-source/precipitation-monthly-outlook)
* Cimate_gov_ Data Snapshots.pdf is a screenshot of the data download page for the full-resolution files.
Q: What are the chances that total precipitation will be below, near, or above average next month?
A: Colors
show where total precipitation has an increased chance of being higher
or lower than usual during the next month. The darker the shading, the
greater the chance for the indicated condition. White areas have equal
chances for precipitation totals that are below, near, or above the
long-term average (median) for the month.
Q: How do experts develop these forecasts?
A: Climate
scientists base future climate outlooks on current patterns in the
ocean and atmosphere. They examine projections from climate and weather
models and consider recent trends. They also check historical records to
see how much precipitation fell when patterns were similar in the past.
Q: What do the colors mean?
A: Colors
on the map show experts’ level of confidence in their forecasts for
above or below median precipitation totals. Each location on the map has
some chance to receive precipitation that ranks in the bottom, middle,
or top third of records from the previous three decades. White areas
have equal chances for each condition. Colors show where the odds for
one of the three conditions are higher than for the other two.
A common mistake is to interpret these maps as predictions of precipitation amounts. However, dark green areas are not predicted to receive more precipitation than light green areas. The dark green areas simply have a higher likelihood of receiving above median amounts of rain than the light green areas do. Similarly, dark brown areas are not predicted to receive less rain than light brown areas.
Keep in mind that outlooks show the most likely condition for each region, not the only possible outcome.
A common mistake is to interpret these maps as predictions of precipitation amounts. However, dark green areas are not predicted to receive more precipitation than light green areas. The dark green areas simply have a higher likelihood of receiving above median amounts of rain than the light green areas do. Similarly, dark brown areas are not predicted to receive less rain than light brown areas.
Keep in mind that outlooks show the most likely condition for each region, not the only possible outcome.
Q: Why do these data matter?
A: Water
managers, farmers, and forestry officials have an intense interest in
precipitation outlooks. They use them to help make decisions about water
resources, irrigation, and fire-fighting resources. Flood forecasters
also use these outlooks. They want to know as early as possible if an
area is likely to receive more precipitation than usual.
Q: How did you produce these snapshots?
A: Data
Snapshots are derivatives of existing data products: to meet the needs
of a broad audience, we present the source data in a simplified visual
style. NOAA's Climate Prediction Center (CPC) produces the source images
for monthly precipitation outlooks. To produce our images, we run a set
of scripts that access map layers from CPC, re-project them into
desired projections at various sizes, and output them with a custom
color bar.
Additional information
CPC issues
monthly outlooks one-half month before the beginning of the month of
interest. On the day before the new month begins, experts update the
outlook for the upcoming month. Each monthly outlook in Data Snapshots
shows the date the outlook was issued.
Outlooks that include Alaska are available: while displaying an
outlook of interest, click the Download button, select Full Resolution
Assets, and then click OK
References
One-Month to Three-Month Climate Outlooks.
http://www.cpc.ncep.noaa.gov/products/forecasts/
http://www.cpc.ncep.noaa.gov/products/forecasts/
Current Outlook Discussion
http://www.cpc.ncep.noaa.gov/products/predictions/long_range/fxus07.html
http://www.cpc.ncep.noaa.gov/products/predictions/long_range/fxus07.html
This upload includes two additional files:
* Precipitation - Monthly Outlook _NOAA Climate.gov.pdf is a screenshot of the main Climate.gov site for these snapshots (https://www.climate.gov/maps-data/data-snapshots/data-source/precipitation-monthly-outlook)
* Cimate_gov_ Data Snapshots.pdf is a screenshot of the data download page for the full-resolution files.
Original Distribution URL:
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https://www.climate.gov/data/Precipitation--Monthly--Outlook--US/
Scope of Project
Subject Terms:
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climate;
climate change;
precipitation;
forecasting models
Geographic Coverage:
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United States
Time Period(s):
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1/17/2013 – 5/31/2025 (Monthly images from 2013 to present)
Data Type(s):
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images: photographs, drawings, graphical representations
Collection Notes:
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Data is divided in to folders by image resolution -- full size (zip), small (png) and large (png). Occasionally there may be one image missing in a particular size but available in another size.
Data downloaded from climate.gov 6/15/2025 - 6/16/2025 (small, large, and full resolution) and 6/21/2025 (others).
Data downloaded from climate.gov 6/15/2025 - 6/16/2025 (small, large, and full resolution) and 6/21/2025 (others).
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