posted on 2024-02-13, 13:57authored byTilden Meyers
<p>This dataset links to a data download from the Daymet website. Data parameters are Latitude: 34.2547 Longitude: -89.8735 X & Y on Lambert Conformal Conic: 897941.75 -822030.73; Tile: 11206; Elevation: 91 meters; Years: 1980-2014. Archived and distributed through the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC), the Daymet dataset for Goodwin Creek provides gridded estimates of daily weather parameters for North America, including daily continuous surfaces of minimum and maximum temperature, precipitation occurrence and amount, humidity, shortwave radiation, snow water equivalent, and day length. The Goodwin Creek site is located in the Bluff Hills, just east of the Mississippi River valley. In addition to being a core AmeriFlux site, Goodwin Creek is affiliated with a multitude of other projects including Surface Radiation (SURFRAD), Baseline Surface Radiation Network (BSRN), and is one of twelve USDA Conservation Reserve Program watersheds. Natural disturbances are of minimal influence to the site. The immediate region is primarily used for grazing while infrequent logging activities occur in nearby forests. The grass surrounding the base of the tower is mowed periodically to maintain a height consistent with the regional grasslands.
Daymet is supported by funding from NASA through the Earth Science Data and Information System (ESDIS) and the Terrestrial Ecosystem Program. The continued development of the Daymet algorithm and processing is also supported by the Office of Biological and Environmental Research within the U.S. Department of Energy's Office of Science.</p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: GeoData catalog.</p> <p>File Name: Web Page, url: <a href="https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/GoodwinCreek_eaa_2015_March_17_1633" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/GoodwinCreek_eaa_2015_March_17_1633</a> </p></li></ul>
The literature shows that Daymet data have been broadly applied to fields including hydrology, terrestrial vegetation growth models, carbon cycle science, and regional to large scale climate change analysis. AmeriFlux Community Goals Quantify the magnitude of the carbon sources and sinks for a range of terrestrial ecosystems in the Americas, and how they may be influenced by disturbance, management regimes, climate variability, nutrients, and atmospheric pollutants; Advance understanding of processes regulating carbon assimilation, respiration, and storage; Collect critical new information to help define the current global CO2 budget; Enable improved predictions of future concentrations of atmospheric CO2
Use limitations
Information displayed has been gathered from global maps, regional network websites, and personal communication with investigators. If you have found an error, please send us an email by visiting http://fluxnet.ornl.gov/contact with a description of the error.
Temporal Extent Start Date
2002-05-06
Temporal Extent End Date
2007-02-11
Theme
Not specified
Geographic Coverage
ISO Topic Category
climatologyMeteorologyAtmosphere
environment
farming
inlandWaters
Ag Data Commons Group
Long-Term Agroecosystem Research
Lower Mississippi River Basin
National Agricultural Library Thesaurus terms
data collection; streams; weather; North America; temperature; humidity; snow; photoperiod; valleys; USDA; Conservation Reserve Program; watersheds; grazing; logging; forests; grasses; grasslands; information systems; terrestrial ecosystems; algorithms; United States; hydrology; vegetation; growth models; carbon cycle; climate change; carbon; South America; climate; nutrients; pollutants; carbon dioxide fixation; carbon dioxide; prediction
OMB Bureau Code
005:18 - Agricultural Research Service
OMB Program Code
005:040 - National Research
Pending citation
No
Public Access Level
Public
Preferred dataset citation
Tilden Meyers (2019), AmeriFlux BASE US-Goo Goodwin Creek, Ver. 3-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246058