Language of the Weather Map
By the mid-nineteenth century, persons were observing the weather, but it took the telegraph to permit the timely aggradation of weather observations to facilitate the creation and timely distribution of weather maps. Decades later radios permitted expansion of the area of observation aloft and out at sea. It was then that the Norwegian cyclone theory was developed to explain the life cycle of the extratropical cyclone with its warm and cold fronts swept along by the prevailing westerlies. Subsequently, we started seeing weather maps at different levels of the atmosphere. With the development of satellites in the 1960s, we gained the ability to monitor the weather around the world, particularly in the tropics where tropical cyclones are the major weather concern. Large computers were developed in part to crunch the great amount of data from weather stations around the world. Those many surface observations collected twice a day are still an important base for creating weather maps, supplemented by observations from many sources. Now the output from the computer weather models provide the data and graphic products at many scales that we see in print, on television, and on our computers be they on the desk or in our hands. In the twenty-first century, we are witnessing the development of lightning detection systems that provide another input to supplement the weather maps and provide real-time maps in people’s hands. As such we are witnessing the development of the language of real-time weather maps distributed to users wherever they might be.
KeywordsSatellite Weather map Station model Extratropical cyclone Tropical cyclones Lightning Computer models
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- Australia Bureau of Meteorology. (2016). BNOC operations bulletin number 105. http://www.bom.gov.au/australia/charts/bulletins/APOB105.pdf. Accessed 16 Mar 2016.
- Australia Bureau of Meteorology. (2018). Southern hemisphere MSLP analysis. http://www.bom.gov.au/australia/charts/. Accessed 26 Apr 2018.
- Britannica. (2018). Antarctica: The surrounding seas. https://www.britannica.com/science/furious-fifties. Accessed 8 May 2018.
- Carter, J. R., & Kohrs, R. A. (2011). Recognition of six-hourly global maps of ice, temperature and clouds – Real-time and 10-year archive. In Proceedings, international cartographic conference, Paris, France, July 2011. Abstract: P-109. http://my.ilstu.edu/~jrcarter/SSEC/abstract.html. Accessed Jul 2011.
- Cox, J. D. (2002). Storm watchers. Hoboken: Wiley.Google Scholar
- Emanuel, K. (2005). The history and science of hurricanes. Oxford: Oxford University Press.Google Scholar
- Monmonier, M. S. (1999). Air apparent: How meteorologists learned to map, predict, and dramatize weather. Chicago: The University of Chicago Press.Google Scholar
- NASA. (2017). Satellite animation shows hurricane Maria and post tropical storm Jose. https://www.youtube.com/watch?v=wxFFm12L_Ak. Accessed 9 Nov 2018.
- NASA, Earth Observatory. (2006). Patterns of lightning activity. https://earthobservatory.nasa.gov/IOTD/view.php?id=6679. Accessed 9 Nov 2018.
- National Weather Service. (2018a). Norwegian cyclone model. http://www.weather.gov/jetstream/cyclone. Accessed 9 Nov 2018.
- National Weather Service. (2018b). Radiosonde observation. https://www.weather.gov/upperair/factsheet. Accessed 9 Nov 2018.
- National Weather Service. (2018c). Doppler Radar National Mosaic. https://www.weather.gov/Radar. Accessed 9 Nov 2018.
- Nicholls, S. (2018). Here’s how Europe’s storm names are chosen – And you can pick one, too. http://www.euronews.com/2018/01/04/here-s-how-europe-s-storm-names-are-chosen-and-you-can-pick-one-too. Accessed 9 Nov 2018.
- NOAA. (2017). Daily weather maps, September 21, 2017. http://www.wpc.ncep.noaa.gov/dwm/dwm.shtml. Accessed 9 Nov 2018.
- NOAA. (2018a). Station plot. http://www.wpc.ncep.noaa.gov/dailywxmap/wxsymbols.html. Accessed 8 May 2018.
- NOAA. (2018b). Portion of surface map for 10 February 2018. http://www.spc.noaa.gov/obswx/maps/. Accessed 9 Nov 2018.
- NOAA. (2018c). Daily weather maps, January 15, 2018–January 21, 2018. http://www.wpc.ncep.noaa.gov/dwm/dwm.shtml. Accessed 8 May 2018.
- NOAA, Weather Prediction Center. (2017). Surface fronts and sea-level pressures forecast map for September 21, 2017, 12Z. https://www.wpc.ncep.noaa.gov/#page=frt. Accessed 9 Nov 2018.
- NOAA, Weather Prediction Center. (2018). Surface fronts and sea-level pressures forecast map for February 24, 2018, 12Z. https://www.wpc.ncep.noaa.gov/#page=frt. Accessed 9 Nov 2018.
- Space Science and Engineering Center, University of Wisconsin–Madison. (2011). Global satellite & surface temperature montage: Latest global montage. http://www.ssec.wisc.edu/data/comp/latest_cmoll.gif. Accessed 2 Feb 2011.
- U.S. Army Signal Service. (1880). War Department weather map, January 1, 1880. http://library.noaa.gov/Collections/Digital-Documents/US-Daily-Weather-Maps. Accessed 9 Nov 2018.
- Vaisala. (2018). Stroke density map – 20 km grid, average 2012–2016. www.Vaisala.com/Vaisalaimages/Lightning/GLD_20KM_avg_2012-2016_world_map.png. Accessed 9 Nov 2018.
- Wan, J. (2018). On the Job: Greg Carbin, Warning Coordination Meteorologist for the NOAA/NWS Storm Prediction Center Weatherwise. http://www.weatherwise.org/Web%20Extras/index-webextra.html. Accessed 9 Nov 2018.
- World Meteorological Organization. (2018a). History of IMO. https://public.wmo.int/en/about-us/who-we-are/history-IMO. Accessed 8 May 2018.
- World Meteorological Organization. (2018b). Observations. https://public.wmo.int/en/our-mandate/what-we-do. Accessed 9 May 2018.
- World Meteorological Organization. (2018c). Tropical cyclone naming. https://public.wmo.int/en/About-us/FAQs/faqs-tropical-cyclones/tropical-cyclone-naming. Accessed 9 Nov 2018.
- WunderMap. (2018). https://www.wunderground.com/wundermap%20with%20Lightning%20layer%20selected. Accessed 9 Nov 2018.