![]() NOAA National Climatic Data Center, accessed 4 June 2018. S., and et al, 2014a: NOAA’s Gridded Climate Divisional Dataset (CLIMDIV). Boyles, 2016: Evaluation of a high-resolution SPI for monitoring local drought severity. CANGRD is a set of Canadian gridded annual, seasonal, and monthly temperature and precipitation anomalies, which were interpolated from stations in the. Wen, 2007: Appropriate application of the standardized precipitation index in arid locations and dry seasons. Svoboda, 2005: The effect of length of record on the standardized precipitation index. B., 1999: Accepting the standardized precipitation index: A calculation algorithm. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. gridded raster data from radar + interpolation european data stock slowly growing (but reading functions not tested yet). The SPI is available with both the gamma and Pearson Type III types of distribution fittings, using the Python Drought Indices open-source package. While the CMORPH precipitation dataset is operational, the derived SPI products are currently experimental as the results are evaluated and the stability of the processing system is improved. Gridded daily 1x1 OLR CDR data from NCDC interpolated to -90 to 90. The dataset is also archived and managed through the NOAA Climate Data Record program at NOAA's National Centers for Environmental Information (NCEI). The NOAA CMORPH precipitation dataset is a gridded dataset derived from combining numerous microwave-based estimates from low orbiter satellites. Temperature is represented more accurately than precipitation. Below is a link to python code which can download a number of the ERA5 variables at a location.The experimental Global Gridded Standardized Precipitation Index (SPI) is derived from the NOAA CMORPH dataset and includes timescales of 1, 3, 6 and 9 months. We found considerable differences among data sets and between downscaled and weather station data. PSL's 20CR project page has more details. NOAA's Gridded Precipitation Reconstruction over Land (PREC/L) A long (1871-2012) 3-D atmospheric reanalyses that is output 4-8 time daily with multiple variables on both pressure land single levels. Data from most of these can be downloaded for free but can take some time to do and also work out how to do it. Gridded daily 1x1 OLR CDR data from NCDC interpolated to -90 to 90. Despite these uncertainties, gridded station data are often treated as observations by users for a par-ticular application. Common variables include minimum and maximum temperature, and precipitation. July 2016 EVALUATION OF GRIDDED CLIMATE DATA 1339 the products. There are a number of weather variables available in the grid, including for example temperature, rain, wind speed, solar irradiance. Gridded meteorological forcing datasets include observed daily station data interpolated to a resolution useful as target datasets for statistical downscaling and hydrologic modelling. ![]() "Gridded data" in the weather world is data which is typically available on a grid that covers the entire earth(or parts of it), think a 10kmx10km (not exactly this sized grid).There are a few different datasets ERA5(From the European Centre for Medium-Range Weather Forecasts (ECMWF)), MERRA2(From NASA), one from Australia's BOM, and the JMA ( Japan Meteorological Agency) to name a few. ![]()
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