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Found 10 records similar to Duck Lake Geolysimeter Precipitation Intercomparison
The World Meteorological Organization (WMO) Solid Precipitation Inter-Comparison Experiment (SPICE) officially began in the (Northern Hemisphere) Fall of 2012 with the objective of characterizing and providing guidance on the performance of automated systems for the in situ measurement of solid precipitation (Nitu et al., 2012). Environment and Climate Change Canada hosted three intercomparison sites as contributions to SPICE, two of which (Bratt’s Lake and Caribou Creek) are located in Saskatchewan. The Caribou Creek site is located in the southern Boreal forest, approximately 100 km North East of Prince Albert. The Bratt’s Lake site is located in the central prairies, approximately 30 km south of Regina.
Precipitation measurements in the Environment and Climate Change Canada (ECCC) surface network are a necessary component for monitoring weather and climate and are required for flood and water resource forecasting, numerical weather prediction and many other applications that impact the health and safety of Canadians. Beginning in the late 1990s, the ECCC surface network began a transition from manual to automated precipitation measurements. Advantages to increased automation include enhanced capabilities for monitoring in remote locations and higher observation frequency at lower cost. However, transition to automated precipitation gauges has resulted in new challenges to data quality, accuracy, and homogenization.
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.
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.
Major ions data consist of the following key ions in precipitation: Cl-, NO3-, SO4=, NH4+, Na+, K+, Ca++, Mg++. The data sets typically also include the pH and depth of the precipitation sample. These data are collected by several provincial, national and bi-national networks. The wet-only precipitation collector samples precipitation only when it rains or snows.
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.
The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km.
Statistically downscaled multi-model ensembles of total precipitation are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily precipitation (mm/day) from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded precipitation dataset of Canada (ANUSPLIN) was used as the downscaling target.
Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in total precipitation are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily precipitation (mm/day) from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded precipitation dataset of Canada (ANUSPLIN) was used as the downscaling target.
The dataset contains land surface evapotranspiration (ET) for Canada's landmass at a spatial resolution of 5-km. The values represent the annual total amount of ET in mm of H2O, averaged over a 38-year period of 1979-2016. The ET was produced by the Land Surfae Model EALCO (Ecological Assimilation of Land and CLimate Observations) developed at Natural Resources Canada. Details of the dataset can be found in Wang et al.
This dataset is part of the International Atomic Energy Agency (IAEA) Global Network of Isotopes in Precipitation (GNIP) project and contains the total monthly precipitation quantity in millimeters collected on the roof of the National Hydrology Research Centre in Saskatoon, SK and its stable oxygen (δ18O) and hydrogen (δ2H) isotope ratios data from June 1990 to January 2020. Up until 2013, a MSC copper rain gauge, modified to hold a HDPE bottle containing a thin layer of paraffin oil to prevent evaporation collected the summer precipitation. Summer precipitation collection from 2013 onward used a Palmex integrator. A plastic 20 L bucket emptied after each snow event collected the winter precipitation until 2015 when we switched to a MSC Nipher shielded snow gauge.