Open Government Portal

Found 10 records similar to Blended Index – Long Term

Federal

The Blended Index (BI) is a model which employs multiple potential indicators of drought and excess moisture, such as the Palmer drought index, rolling precipitation amounts and soil moisture, and combines them into a weighted, normalized value between 0 and 100. The inputs and weights used in this model are subject to change periodically as it is optimized to best represent extent, duration and severity of impactful weather conditions. The blended index is deployed as two variations; short term (st) focusing on 1 to 3 months, and long term (lt) focusing on 6 months to 5 years.

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST GeoTIF
Keywords:  BI, agclimate, BIST, Farmlands, Crops, Agriculture, Temperature, Precipitation
Federal

The Standardized Precipitation Index (SPI) has been recognized as the most accessible index for quantifying and reporting meteorological drought. On short timescales, the SPI is closely related to soil moisture, while at longer timescales, the SPI can be related to groundwater and reservoir storage. The model uses observed historical precipitation amounts to compute probability distributions which are then normalized using an incomplete gamma function over a range of timescales. The values can be interpreted as the number of standard deviations by which the observed anomaly deviates from the long-term mean.

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST GeoTIF
Keywords:  SPI, agclimate, Farmlands, Crops, Agriculture, Temperature, Precipitation
Federal

The term "Palmer Drought Index" has been used collectively to represent multiple indices. This index is simply a water balance model which analyzes precipitation and temperature, and used as a tool to measure meteorological and hydrological drought across space and time. All versions of the index uses the Versatile Soil Moisture Budget to model the movement of water within the system, and a daily Priestly-Taylor model to estimate evapotranspiration. The Palmer Drought Index (PDI) uses monthly temperature and precipitation data to calculate a simple soil water balance.

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST GeoTIF
Keywords:  PDI, agclimate, PMDI, Agriculture, Crops, Farmlands, Temperature, Precipitation
Federal

The term "Palmer Drought Index" has been used collectively to represent multiple indices. This index is simply a water balance model which analyzes precipitation and temperature, and used as a tool to measure meteorological and hydrological drought across space and time. All versions of the index uses the Versatile Soil Moisture Budget to model the movement of water within the system, and a daily Priestly-Taylor model to estimate evapotranspiration. The Palmer Drought Index (PDI) uses monthly temperature and precipitation data to calculate a simple soil water balance.

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST GeoTIF
Keywords:  PDI, agclimate, PHDI, Farmlands, Agriculture, Crops, Temperature, Precipitation
Federal

The Moisture Anomaly Index (Palmer-Z) is an estimate of the moisture difference from normal (a 30-year mean). It attempts to express conditions for the current month regardless of what may have occurred before the month in question.

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST GeoTIF
Keywords:  PDI, agclimate, MAI, Agriculture, Crops, Farmlands, Temperature, Precipitation
Federal

Total soil moisture is the modelled amount of plant available water (mm) in the root zone of the soil. The value given is the amount calculated to be present on the modeled day of the product.

Values are computed using the Versatile Soil Moisture Budget (VSMB)

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST TIFF
Keywords:  Soil Moisture, agclimate, VSMB, TSM, Farmlands, Crops, Agriculture, Temperature, Precipitation
Federal

Percent of normal soil moisture is the modelled amount of plant available water (mm) in the root zone of the soil, divided by the average amount that has historically been available on that day. This value is intended to provide users with a representation of conditions above or below normal as a percentage.

Values are computed using the Versatile Soil Moisture Budget (VSMB)

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST TIFF
Keywords:  Soil Moisture, agclimate, VSMB, PNM, Farmlands, Crops, Agriculture, Temperature, Precipitation
Federal

Difference from normal soil moisture is the modelled amount of plant available water (mm) in the root zone of the soil, minus the average amount that has historically been available on that day. This value is intended to provide users with a representation of conditions above or below normal and by the amount of water (mm).

Values are computed using the Versatile Soil Moisture Budget (VSMB)

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST TIFF
Keywords:  Soil Moisture, agclimate, VSMB, DNM, Farmlands, Agriculture, Crops, Temperature, Precipitation
Federal

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.

Last Updated: May 4, 2022
Date Published: May 5, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF HTML ESRI REST GeoTIF
Keywords:  SPEI, agclimate, Agriculture, Crops, Farmlands, Temperature, Precipitation
Federal

The dataset contains the blended gauge and satellite estimates monthly mean precipitation rates unit: mm/day for Canada for the period from January 1979 to December 2007, at a half degree spatial resolution. Please refer to the paper below for the details of the blending algorithm and input gauge and satellite data.

Reference:
Lin, A. and X. L. Wang, 2011: An algorithm for Blending Multiple Satellite Precipitation Estimates with in-situ Precipitation Measurements in Canada. JGR-Atmospheres, 116, D21111, doi:10.1029/2011JD016359.

Last Updated: Jul. 27, 2021
Date Published: Feb. 14, 2014
Organization: Environment and Climate Change Canada
Formats: other
Keywords:  precipitation, satellite, Canada, FeaturedDataset-Climate
Date modified: