| Title | Comparing evapotranspiration from eddy covariance measurements, water budgets, remote sensing, and land surface models over Canada |
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| Author | Wang, S ; Pan, M;
Mu, Q; Shi, X; Mao, J; Brümmer, C; Jassal, R; Krishnan, P; Li, J; Black, T A |
| Source | Journal of Hydrometeorology vol. 16, 2015 p. 1540-1560, https://doi.org/10.1175/jhm-d-14-0189.1  Open Access |
| Image |  |
| Year | 2015 |
| Alt Series | Earth Sciences Sector, Contribution Series 20140252 |
| Publisher | American Meteorological Society |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | British Columbia; Alberta; Saskatchewan; Manitoba; Ontario; Quebec; New Brunswick; Nova Scotia; Prince Edward Island; Newfoundland and Labrador; Northwest Territories; Yukon; Nunavut; Canada |
| NTS | 1; 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 |
| Area | Canada |
| Lat/Long WENS | -141.0000 -50.0000 90.0000 41.7500 |
| Subjects | Nature 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) |
| Illustrations | tables; location maps; satellite images; histograms; graphs; plots |
| Program | Remote Sensing Science |
| Released | 2015 07 29 |
| Abstract | This 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 ID | 295450 |
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