© 2016 by the Ecological Society of America. More broadly, our results highlight the need for careful consideration among different available data sets in terms of which variables they describe best, where they perform best, and their resolution, when selecting a downscaled weather data set for a given ecological application.Ĭlimate data set ecoregions extremes gridded resolution weather. Although some inherent differences among data sets and weather station data are to be expected, our findings highlight how much different interpolation methods affect downscaled weather data, even for local comparisons with nearby weather stations located inside a grid cell. Surprisingly, the accuracy of the data sets does not depend on spatial resolution. The data set exhibiting the best agreement with station data varies among ecoregions. The gridded products provide a spatially and temporally consistent approach to assimilate available weather station data, taking into account the changes in temperature, precipitation, downwelling. Temperature is represented more accurately than precipitation, and climate averages are more accurate than weather extremes. We found considerable differences among data sets and between downscaled and weather station data. The resulting product is a spatially and temporally complete, high-resolution (1/24th degree 4-km) gridded dataset of surface meteorological variables. Here we address this shortcoming by focusing on four major questions: (1) How accurate are downscaled, gridded climate data sets in terms of temperature and precipitation estimates? (2) Are there significant regional differences in accuracy among data sets? (3) How accurate are their mean values compared with extremes? (4) Does their accuracy depend on spatial resolution? We compared eight widely used downscaled data sets that provide gridded daily weather data for recent decades across the United States. gridMET blends spatial attributes of gridded climate data from PRISM with desirable temporal attributes (and additional variables) from regional reanalysis using climatically aided interpolation. Numerous downscaled weather data sets exist, but little attempt has been made to evaluate them systematically. Weather and climate affect many ecological processes, making spatially continuous yet fine-resolution weather data desirable for ecological research and predictions. For further gridded forecast information for the Great Lakes, please go to. In turn, graphics such as those below can be generated, allowing customers and partners to get a complete picture of the weather across the Great Lakes. These gridded products allow forecasters at the NWS to provide specific forecast information every 1.5 miles for a variety of weather elements, such as waves, winds, temperatures, and weather. Daily weather data (same as MWD set, plus wind speed at 2 m, relative humidity and dew/frost point) are available from 1983 to near present, except for rainfall, which are available from 1997. In the last 10 years, additional gridded forecast products have been developed by the National Weather Service. The climate data dedicated to the agro-climatology community were employed, which was recently offered globally at a resolution of 0.5° × 0.5° grid cell.
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