% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 8965 % Primary Name: WAPASHOE % Record Type: TAVG % Country: Canada % Latitude: 50.07000 +/- 0.00500 % Longitude: -109.38000 +/- 0.00500 % Elevation (m): 732.00 +/- 0.50 % # of Months: 33 % % IDs: ghcnd - CA004028500 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 25ad892299290211b2ede6acb7ad4940 % Raw Data Hash: 99d9509194f93fc9d4930b0d40ea51e3 % Adj Data Hash: 0386e38939cb9dfe100f8507f45cd312 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1914 1 NaN NaN NaN NaN NaN NaN -13.397 1.454 1914 2 NaN NaN NaN NaN NaN NaN -14.435 -4.599 1914 3 NaN NaN NaN NaN NaN NaN -3.173 1.450 1914 4 NaN NaN NaN NaN NaN NaN 5.829 1.301 1914 5 NaN NaN NaN NaN NaN NaN 10.871 -0.616 1914 6 NaN NaN NaN NaN NaN NaN 15.003 -0.809 1914 7 NaN NaN NaN NaN NaN NaN 21.365 2.373 1914 8 NaN NaN NaN NaN NaN NaN 17.401 -0.468 1914 9 NaN NaN NaN NaN NaN NaN 11.853 -0.264 1914 10 NaN NaN NaN NaN NaN NaN 7.953 1.900 1914 11 NaN NaN NaN NaN NaN NaN -0.868 2.353 1914 12 NaN NaN NaN NaN NaN NaN -13.984 -3.859 1915 1 -12.140 3.019 0 0 -12.140 3.019 -14.510 0.341 1915 2 -8.573 1.572 0 0 -8.573 1.572 -8.346 1.490 1915 3 NaN NaN NaN NaN NaN NaN -4.848 -0.224 1915 4 NaN NaN NaN NaN NaN NaN 9.861 5.332 1915 5 10.427 -0.751 0 0 10.427 -0.751 11.102 -0.385 1915 6 12.550 -2.953 0 0 12.550 -2.953 12.656 -3.156 1915 7 15.011 -3.672 0 0 15.011 -3.672 16.107 -2.885 1915 8 18.703 1.143 0 0 18.703 1.143 20.039 2.170 1915 9 9.272 -2.537 0 0 9.272 -2.537 9.623 -2.494 1915 10 7.363 1.618 0 0 7.363 1.618 8.735 2.681 1915 11 NaN NaN NaN NaN NaN NaN -3.113 0.109 1915 12 -5.927 4.506 0 0 -5.927 4.506 -7.228 2.897 1916 1 -25.816 -10.657 0 0 -25.816 -10.657 -27.447 -12.596 1916 2 -11.997 -1.851 0 0 -11.997 -1.851 -10.038 -0.201 1916 3 -3.940 0.992 0 0 -3.940 0.992 -4.824 -0.201 1916 4 4.522 0.302 0 0 4.522 0.302 5.379 0.850 1916 5 7.982 -3.197 0 0 7.982 -3.197 8.787 -2.700 1916 6 13.502 -2.002 0 0 13.502 -2.002 13.377 -2.435 1916 7 17.905 -0.778 0 0 17.905 -0.778 18.729 -0.263 1916 8 15.135 -2.425 0 0 15.135 -2.425 16.168 -1.701 1916 9 10.827 -0.982 0 0 10.827 -0.982 10.776 -1.342 1916 10 2.977 -2.767 0 0 2.977 -2.767 5.092 -0.961 1916 11 -3.087 0.443 0 0 -3.087 0.443 -2.330 0.891 1916 12 -14.863 -4.430 0 0 -14.863 -4.430 -15.757 -5.632 1917 1 -15.343 -0.184 0 0 -15.343 -0.184 -17.462 -2.611 1917 2 -18.693 -8.548 0 0 -18.693 -8.548 -15.907 -6.070 1917 3 -7.818 -2.886 0 0 -7.818 -2.886 -8.187 -3.563 1917 4 1.372 -2.848 0 0 1.372 -2.848 2.196 -2.332 1917 5 10.189 -0.990 0 0 10.189 -0.990 10.872 -0.616 1917 6 13.118 -2.386 0 0 13.118 -2.386 13.489 -2.323 1917 7 19.135 0.452 0 0 19.135 0.452 20.643 1.651 1917 8 15.817 -1.744 0 0 15.817 -1.744 17.045 -0.824 1917 9 11.362 -0.447 0 0 11.362 -0.447 11.535 -0.583 1917 10 2.129 -3.616 0 0 2.129 -3.616 4.223 -1.830 1917 11 4.842 8.372 0 0 4.842 8.372 4.369 7.591 1917 12 -16.045 -5.612 0 0 -16.045 -5.612 -18.827 -8.702 1918 1 NaN NaN NaN NaN NaN NaN -17.356 -2.505 1918 2 NaN NaN NaN NaN NaN NaN -11.145 -1.308 1918 3 NaN NaN NaN NaN NaN NaN -3.239 1.385 1918 4 NaN NaN NaN NaN NaN NaN 5.137 0.608 1918 5 NaN NaN NaN NaN NaN NaN 9.243 -2.244 1918 6 NaN NaN NaN NaN NaN NaN 16.911 1.099 1918 7 NaN NaN NaN NaN NaN NaN 18.616 -0.375 1918 8 NaN NaN NaN NaN NaN NaN 17.647 -0.222 1918 9 NaN NaN NaN NaN NaN NaN 11.112 -1.006 1918 10 NaN NaN NaN NaN NaN NaN 7.993 1.940 1918 11 NaN NaN NaN NaN NaN NaN -1.958 1.263 1918 12 NaN NaN NaN NaN NaN NaN -7.063 3.062