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Found 10 records similar to Land Surface Evapotranspiration for Canada's Landmass
The Standardized Precipitation Evapotranspiration Index (SPEI) is computed similarly to the SPI. The main difference is that SPI assesses precipitation variance, while SPEI also considers demand from evapotranspiration which is subtracted from any precipitation accumulation prior to assessment.
Unlike the SPI, the SPEI captures the main impact of increased temperatures on water demand.
Drought projections on seasonal to annual time scales are presented for Canada over the twenty-first century, based on the Standardized Precipitation Evapotranspiration Index (SPEI). Results make use of bias-corrected temperature and precipitation projections from 29 global climate models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5), and include three different forcing scenarios (RCP2.6, RCP4.5 and RCP8.5). Large differences in projected drought changes are observed among different regions. On the annual time scale, southwestern Canada and the Prairies may experience an increase in drying under a warmer climate.
Canada Harmonized Agriculture Forest Land Cover 2015 The harmonized land cover (HLC) map is produced from Agriculture and Agri-Food Canada (AAFC) and Canadian Forest Service (CFS) data. The HLC product is exhaustive of all area from the northern edge of Canada’s forested ecosystems to the southern border. The land cover is following Intergovernmental Panel on Climate Change (IPCC) categories, represents the year 2015, and is at 30-m spatial resolution. This harmonized land cover map combines two sector-driven land cover products: the Virtual Land Cover Engine or VLCE from the CFS (Hermosilla et al., 2018), and AAFC's Annual Crop Inventory or ACI (Agriculture and Agri-Food Canada, 2018).
The wetland year count data included in this product is national in scope (entire forested ecosystem) and represents a wall to wall wetland characterization for 1984-2016 (Wulder et al. 2018). This product was generated using both annual gap free composite reflectance images and annual forest change maps following the Virtual Land Cover Engine (VLCE) process (see Hermosilla et al. 2018), over the 650 million ha forested ecosystems of Canada.
Water demand is usually measured by evapotranspiration: the amount of water that would be evaporated and transpired by plants. Potential Evapotranspiration (PET) is the demand or maximum amount of evaporation that would occur if sufficient water were available (from precipitation and soil moisture). Priestly-Taylor equations were used to estimate daily PET.
These values are calculated across Canada using historical climate station data from ECCC with the Versatile Soil Moisture Budget model (Baier and Robertson, 1996 and Baier et al., 2000).
High-resolution binary wetland map for Canada (2001-2016). Wetland map for the forested ecosystems of Canada focused on current conditions. The binary wetland data included in this product is national in scope (entirety of forested ecosystem) and represents the wall to wall characterization for 2001-2016 (see Wulder et al. 2018).
The raster maps depict a suite of forest attributes in 2001* and 2011 at 250 m by 250 m spatial resolution. The maps were produced using the k nearest neighbours method applied to MODIS imagery and trained from National Forest Inventory photo plot data. For detailed information about map production methods please refer to Beaudoin et al. (2018) "Tracking forest attributes across Canada between 2001 and 2011 using the k nearest neighbours mapping approach applied to MODIS imagery."
The Orbiting Carbon Observatory 2 (OCO-2) is a National Aeronautics and Space Administration (NASA) satellite launched in 2014. Although OCO-2 was not designed for monitoring power plant emissions, in some cases, carbon dioxide (CO2) observations from OCO-2 can be used to quantify daily CO2 emissions from individual coal power plants by fitting the data to plume model simulations. This data catalogue entry consists of the CO2 measurements by OCO-2 for the 7 power plant overpasses or flybys that were used for quantifying CO2 emissions in Nassar et al. (2017).
The 1 cm resolution digital surface model (DSM) was created from unmanned aerial vehicle (UAV) imagery acquired from a single day survey, July 28th 2016, in Cambridge Bay, Nunavut. Five control points taken from a Global Differential Positioning System were positioned in the corners and the center of the vegetation survey. The DSM covering 525m2 was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research.
Mean 2011 to 2020 summer surface conditions in the Estuary and Gulf of St. Lawrence. Data come from the August and the September multidisciplinary surveys. Surface conditions are described by temperature, salinity and nutrient concentration (mmol/m³) interpolated on a 10 km x 10 km grid. Purpose
Since 1990, the Department of Fisheries and Oceans has been conducting an annual multidisciplinary survey in the Estuary and northern Gulf of St. Lawrence using a standardized protocol.