{"id":4189,"date":"2017-05-08T12:37:04","date_gmt":"2017-05-08T17:37:04","guid":{"rendered":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/?p=4189"},"modified":"2018-01-29T14:23:29","modified_gmt":"2018-01-29T20:23:29","slug":"weather-reports-from-citizens-provide-research-input","status":"publish","type":"post","link":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/2017\/05\/weather-reports-from-citizens-provide-research-input\/","title":{"rendered":"Weather Reports from Citizens Provide Research Input"},"content":{"rendered":"

Is it raining, snowing or hailing where you are? Tell us about it! Report the weather at your location any time on the mPING app to help NOAA researchers and forecasters, and join citizen scientists all around the world participating in Citizen Science Days<\/a> through May 20.<\/p>\n

Downloadable to your smartphone, mPING (Meteorological Phenomena Identification Near the Ground)<\/a> is a free application that allows users to submit information about the weather to NOAA\u2019s National Severe Storms Laboratory. Reports are immediately archived into a database at NSSL, and are displayed on a map accessible to anyone.<\/span><\/p>\n

\"\"
An mPING report. See more at https:\/\/mping.ou.edu\/display\/.<\/figcaption><\/figure>\n

To use the app, reporters select the type of weather that is occurring, and tap \u201csubmit.\u201d The anonymous reports can be submitted <\/a>as often as every 30 seconds.<\/span><\/p>\n

The main goal of mPING is to provide more information to researchers and forecasters about the weather affecting the public. As a bonus, that very same public can see these reports! Weather radars cannot \u201csee\u201d at the ground, so mPING reports are used by the NOAA National Weather Service to fine-tune their forecasts. <\/span><\/p>\n

Reports from mPING are also helping NOAA researchers in a variety of ways, including to develop new radar and forecasting technologies and techniques, said Kim Elmore, research scientist with The University of Oklahoma Cooperative Institute for Mesoscale Meteorological Studies working at the NOAA NSSL. <\/span><\/p>\n

The first goal of mPING was verifying the type of precipitation detected by new radar technology. But, data from mPING proved useful for things not originally envisioned. While checking the accuracy of reports, Elmore and his team learned more about the scale and variability of freezing rain. <\/span><\/p>\n

One mistake people could reasonably make is calling freezing rain just rain, since freezing rain is rain until it freezes onto something, Elmore explained. But with disagreeing observations, Elmore said they found only about 17 percent of the observations were rain; but about 60 percent of the observations that disagreed with freezing rain were really ice pellets.<\/span><\/p>\n

\u201cWhat that tells us is people can clearly discriminate between freezing rain and rain and freezing rain and ice pellets, since they all agree on what ice pellets are,\u201d Elmore said. This shows that people know what they are seeing and mPING reports are mostly accurate.<\/span><\/p>\n

Digging a little deeper, we know that freezing rain can exist in only a very narrow set of environmental conditions. If the air near the ground gets only a little colder, the raindrops will freeze before they reach the surface and be reported as ice pellets. If conditions warm up only a degree or two near the ground, the temperature is no longer below freezing and there can be no freezing rain.<\/span><\/p>\n

Reports from mPING also helped the team learn about one of the newest numerical weather prediction models called the Rapid Update model, or RAP, which is used for short term weather prediction. Data from mPING showed the old version of RAP did not properly identify ice pellets. Once the model developers learned about this, they immediately made changes to better forecast ice pellets.<\/span><\/p>\n

For one winter season, NOAA\u2019s Earth System Research Lab<\/a> and the<\/span><\/p>\n

\u00a0operated the old version (but with the ice pellet fix) and new RAP models at the same time. This was a perfect perfect opportunity to see how much better the new RAP system handled ice pellets. To test this, mPING reports were compared to RAP model forecasts. <\/span><\/p>\n

\u201cIt turns out, ice pellets are reported far more often than the model forecasts them,\u201d he said. \u201cWe reported on the fact the new version of RAP helps some — it is a small but statistically significant improvement.\u201d <\/span><\/p>\n

The mPING app was developed through a partnership between<\/span> NSSL<\/span><\/a>, the<\/span> University of Oklahoma<\/span><\/a> and the<\/span> Cooperative Institute for Mesoscale Meteorological Studies<\/span><\/a> and was included in Scientific American’s list of<\/span> 8 Apps That Turn Citizens into Scientists<\/span><\/a>. For more information on the application, or to watch a short video about it, visit <\/span>http:\/\/mping.nssl.noaa.gov\/<\/span><\/a>.<\/span><\/p>\n

Scientists will continue to look for new ways to use the mPING data in their research, Elmore said. So keep those reports coming!<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Is it raining, snowing or hailing where you are? Tell us about it! Report the weather at your location any time on the mPING app to help NOAA researchers and forecasters, and join citizen scientists\u2026<\/p>\n","protected":false},"author":131,"featured_media":4190,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","ghostkit_customizer_options":"","ghostkit_custom_css":"","ghostkit_custom_js_head":"","ghostkit_custom_js_foot":"","ghostkit_typography":"","footnotes":""},"categories":[4,1,12],"tags":[581,622,582,308,325,572],"class_list":["post-4189","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-forecast","category-news","category-research-news","tag-citizen-science-days","tag-featured","tag-kim-elmore","tag-mping","tag-noaa","tag-ou-cimms"],"acf":[],"wps_subtitle":"","_links":{"self":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/4189","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/users\/131"}],"replies":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/comments?post=4189"}],"version-history":[{"count":2,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/4189\/revisions"}],"predecessor-version":[{"id":4193,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/4189\/revisions\/4193"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/media\/4190"}],"wp:attachment":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/media?parent=4189"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/categories?post=4189"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/tags?post=4189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}