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TitleComparing evapotranspiration from eddy covariance measurements, water budgets, remote sensing, and land surface models over Canada
AuthorWang, S; Pan, M; Mu, Q; Shi, X; Mao, J; Brümmer, C; Jassal, R; Krishnan, P; Li, J; Black, T A
SourceJournal of Hydrometeorology vol. 16, 2015 p. 1540-1560, https://doi.org/10.1175/jhm-d-14-0189.1
Year2015
Alt SeriesEarth Sciences Sector, Contribution Series 20140252
PublisherAmerican Meteorological Society
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceBritish Columbia; Alberta; Saskatchewan; Manitoba; Ontario; Quebec; New Brunswick; Nova Scotia; Prince Edward Island; Newfoundland and Labrador; Northwest Territories; Yukon; Nunavut
NTS1; 2; 3; 10; 11; 12; 13; 14; 15; 16; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 52; 53; 54; 55; 56; 57; 58; 59; 62; 63; 64; 65; 66; 67; 68; 69; 72; 73; 74; 75; 76; 77; 78; 79; 82; 83; 84; 85; 86; 87; 88; 89; 92; 93; 94; 95; 96; 97; 98; 99; 102; 103; 104; 105; 106; 107; 114O; 114P; 115; 116; 117; 120; 340; 560
AreaCanada
SubjectsNature and Environment; evapotranspiration coefficient; remote sensing; satellite imagery; hydrologic budget; MODIS; Community Land Model (CLM); Ecological Assimilation of Land and Climate Observations (EALCO); Variable Infiltration Capacity model (VIC); water budget
Illustrationstables; location maps; satellite images; histograms; graphs; plots
ProgramLand Surface Characterization, Remote Sensing Science
AbstractThis study compares six evapotranspiration ET products for Canada’s landmass, namely, eddy covariance EC measurements; surface water budget ET; remote sensing ET from MODIS; and land surface model (LSM) ET from the Community Land Model (CLM), the Ecological Assimilation of Land and Climate Observations (EALCO) model, and the Variable Infiltration Capacity model (VIC). The ET climatology over the Canadian landmass is characterized and the advantages and limitations of the datasets are discussed. The EC measurements have limited spatial coverage, making it difficult for model validations at the national scale. Water budget ET has the largest uncertainty because of data quality issues with precipitation in mountainous regions and in the north. MODIS ET shows relatively large uncertainty in cold seasons and sparsely vegetated regions. The LSM products cover the entire landmass and exhibit small differences in ET among them. Annual ET from the LSMs ranges from small negative values to over 600 mm across the landmass, with a countrywide average of 256 ± 15 mm. Seasonally, the countrywide average monthly ET varies from a low of about 3 mm in four winter months (November–February) to 67 ± 7 mm in July. The ET uncertainty is scale dependent. Larger regions tend to have smaller uncertainties because of the offset of positive and negative biases within the region. More observation networks and better quality controls are critical to improving ET estimates. Future techniques should also consider a hybrid approach that integrates strengths of the various ET products to help reduce uncertainties in ET estimation.
Summary(Plain Language Summary, not published)
Evapotranspiration (ET) is the water lost from an ecosystem to the atmosphere. It determines the water availability to a hydrologic system for aquifer recharge and streamflow. This paper presents a key step towards the national scale water resources mapping and accounting through integrating multi-satellite observations with in situ measurements and models. The study produced state-of-the-science datasets for national scale ET and identified the knowledge gaps in the current remote sensing technologies. The study is built upon the advanced EO model EALCO developed in CCMEO. This study is led by CCMEO, and collaborated with scientists from Princeton U., U. of Montana, U. of Maryland, Oak Ridge Nat¿l Lab/USA, Thünen Institute of Climate-Smart Agriculture/Germany, U. of British Columbia, and Nat¿l Oceanic and Atmospheric Administration (NOAA)/USA. The results will support the national-scale water resources management, trans-boundary water budgeting, and the impacts assessment of climate change or resources development.
GEOSCAN ID295450