The National Weather Service provides weather, water, and climate data, forecasts and warnings for the protection of life and property and enhancement of the national economy. These products include forecast and warnings of environmental events that can impact human health, such as excessive heat, flooding, severe cold, and more.
The vegetation health products can be used as proxy data for monitoring vegetation health, drought, soil saturation, moisture and thermal conditions, fire risk, greenness of vegetation cover, vegetation fraction, leave area index, start/end of the growing season, crop and pasture productivity, teleconnection with ENSO, desertification, mosquito-borne diseases, invasive species, ecological resources, land degradation, etc.
Compiles global hourly and synoptic observations from numerous sources into a single common ASCII format and common data model. Station data available worldwide with some data as far back as 1901. Over 11,000 stations are currently "active" and updated daily. Includes many parameters such as wind speed & direction, wind gust, temperature, dew point, cloud data, sea level pressure, altimeter setting, station pressure, present weather, visibility, precipitation amounts for various time periods, snow depth, and more.
These data tables of meteorological elements outline the climatic conditions at major weather observing stations in all 50 states, Puerto Rico, and Pacific Islands. The data are from observing sites presently in use or include data from former sites that are comparable in exposure. Stations having less than 3 years of data for the current operating site are omitted from the tables of observed data.
Monthly editions contain station daily maximum and minimum temperatures and precipitation. Some stations provide daily snowfall, snow depth, evaporation, and soil temperature data. Each issue also contains monthly summaries for heating and cooling degree days (65 degrees Fbase). The July issue also contains monthly heating degree days and snow data for the preceding July through June. The annual issue contains monthly and annual averages of temperature, precipitation, temperature extremes, freeze data, soil temperatures, evaporation, and a recap of monthly cooling degree days.
A monthly summary from major airport weather stations that includes a daily account of temperature extremes, degree days, precipitation and winds. Also included are the hourly precipitation and abbreviated 3-hourly weather observations.
Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation
December 27, 2012
Extreme weather and climate events, interacting with exposed and vulnerable human and natural systems, can lead to disasters. This special report explores the social as well as physical dimensions of weather- and climate-related disasters, and considers opportunities for managing risks at local to international scales. This “SREX” report was approved and accepted by the Intergovernmental Panel on Climate Change (IPCC) in November 2011.
When both temperature and humidity are high, humans can experience considerable heat stress. In the U.S., extreme heat may have greater impact on human health, especially among the elderly, than any other type of severe weather.
This activity engages students in the analysis of climate data to first find areas in the southern United States that are now close to having conditions in which the malaria parasite and its mosquito hosts thrive and then attempt to forecast when areas might become climatically suitable.
This Earth Exploration Toolbook chapter uses ArcGIS and climate data from the National Center for Atmospheric Research (NCAR) Climate Change Scenarios GIS Data Portal to help users learn the basics of GIS-based climate modeling. The five-part exercise involves calculating summer average temperatures for the present day and future climate modeled output, visually comparing the temperature differences for the two model runs, and creating a temperature anomaly map to highlight air temperature increases or decreases around the world.