Filters: Tags: Evaporation (X)
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Summary Consumptive use of water in a dispersed rural community has important implications for maximum housing density and its effects on sustainability of groundwater withdrawals. Recent rapid growth in Colorado, USA has stressed groundwater supplies in some areas, thereby increasing scrutiny of approximate methods developed there more than 30 years ago to estimate consumptive use that are still used today. A foothills residence was studied during a 2-year period to estimate direct and indirect water losses. Direct losses are those from evaporation inside the home, plus any outdoor use. Indirect loss is evapotranspiration (ET) from the residential leach-field in excess of ET from the immediately surrounding terrain....
Evapotranspiration determined using the energy-budget method at a semi-permanent prairie-pothole wetland in east-central North Dakota, USA was compared with 12 other commonly used methods. The Priestley-Taylor and deBruin-Keijman methods compared best with the energy-budget values; mean differences were less than 0.1 mm d−1, and standard deviations were less than 0.3 mm d−1. Both methods require measurement of air temperature, net radiation, and heat storage in the wetland water. The Penman, Jensen-Haise, and Brutsaert-Stricker methods provided the next-best values for evapotranspiration relative to the energy-budget method. The mass-transfer, deBruin, and Stephens-Stewart methods provided the worst comparisons;...
Categories: Publication;
Types: Citation;
Tags: energy budget,
evaporation,
evapotranspiration,
metho
Categories: Publication;
Types: Citation;
Tags: ASFA 3: Aquatic Pollution & Environmental Quality; Ecology A,
Agricultural land,
Agriculture,
Cropland,
Ecosystem dynamics,
Atmospheric moisture residence times and cycling: Implications for rainfall rates and climate change
Categories: Publication;
Types: Citation;
Tags: Atmosphere,
Climatic Changes,
El Nino,
Evaporation,
Model Studies,
Categories: Publication;
Types: Citation;
Tags: Catchment areas,
China, People's Rep., Tianshan, Urumqi R.,
China, People's Rep., Urumqi R.,
China, People's Rep., Urumqi R.,
Evaporation,
Categories: Publication;
Types: Citation;
Tags: ASFA 3: Aquatic Pollution & Environmental Quality; Water Res,
Agricultural Watersheds,
Air pollution,
Air sampling,
Air-water Interfaces,
Categories: Publication;
Types: Citation;
Tags: Evaporation,
P 5000 LAND POLLUTION,
Pollutant removal,
Pollution Abstracts,
Soil contamination,
Categories: Publication;
Types: Citation;
Tags: Air-water Interfaces,
Climate,
Climate prediction,
Climatic Changes,
Ecology,
Categories: Publication;
Types: Citation;
Tags: Africa, Orange R.,
Base Flow,
Case Studies,
Climatic Changes,
Evaporation,
Categories: Publication;
Types: Citation;
Tags: Africa, Kenya Mt.,
Altitude,
Chemical limnology,
Chemistry of Precipitation,
Evaporation,
Categories: Publication;
Types: Citation;
Tags: ASE, Senegal,
ASFA 3: Aquatic Pollution & Environmental Quality; ASFA 1: B,
Biodiversity,
Estuaries,
Evaporation,
Categories: Publication;
Types: Citation;
Tags: Agricultural land,
Agricultural runoff,
Artemia franciscana,
Brain,
Drainage water,
The Database was built to enable data integration across sources, as well as to support program planning and observational network design. The Imiq Data Portal provides a snapshot of available hydroclimate data – a map-based view of where , what , and when data have been obtained. Users can submit a custom data query, specifying variable of interest, geographic bounds, and time step. Imiq will aggregate and export data records from multiple sources in a common format, with full metadata records that provide information about the source data.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ABLATION,
ABLATION,
ACTIVE LAYER,
ACTIVE LAYER,
ALBEDO,
This metadata record describes monthly input and output data covering the period 1900-2015 for a water-balance model described in McCabe and Wolock (2011). The input datasets are precipitation (PPT) and air temperature (TAV) from the PRISM group at Oregon State University. The model outputs include estimated potential evapotranspiration (PET), actual evapotranspiration (AET), runoff (RUN) (streamflow per unit area), soil moisture storage (STO), and snowfall (SNO). The datasets are arranged in tables of monthly total or average values measured in millimeters or degrees C and then multiplied by 100. The data are indexed by the identifier PRISMID, which refers to an ASCII raster of cells in an associated file named...
This U.S. Geological Survey (USGS) data release consists of 20-minute evapotranspiration (ET) measurements/estimates for the time period September 15, 1993 to August 27, 1994. These data are derived from measurements of actual ET conducted at a site within the Lake Wales Ridge, Florida characterized by sandy, rapidly-drained soils, and hilly topography. The station is located at a site (28 degrees 29 minutes 12 seconds North / 081 degrees 38 minutes 19 seconds West) within Orange County, Florida. The surrounding landscape is vegetated by natal grass, dog fennel, dwarf horseweed, and ragweed. The water table is generally more than a meter below land surface. Actual ET measurements were derived using the eddy-covariance...
Categories: Data;
Tags: Florida,
Lake Wales Ridge,
Orange County,
USGS Science Data Catalog (SDC),
Water Resources,
This U.S. Geological Survey (USGS) data release consists of daily evapotranspiration (ET) measurements/estimates for the time period January 29, 2009 to September 27, 2012. These data are derived from measurements of actual ET conducted at a height of 73 meters on the University of Central Florida WUCF 89.9 radio tower. The station is located at a nearly flat site (28 degrees 35 minutes 27 seconds North / 081 degrees 12 minutes 17 seconds West) within Orange County, Florida. The surrounding landscape is composed (2009 Land cover and land use, St. Johns River Water Management District – www.sjrwmd.com) of urban (61 percent), non-urban (34 percent) and water (5 percent) within an 8 kilometer radius of the radio tower....
Categories: Data;
Tags: Florida,
Orange County,
Orlando,
USGS Science Data Catalog (SDC),
University of Central Florida,
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