% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41696 % Primary Name: CASTLE % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.41670 +/- 0.00005 % Longitude: -110.55000 +/- 0.00005 % Elevation (m): 1676.92 +/- 93.97 % # of Months: 28 % % Alternate Names: Missing Station ID - 241565 % % IDs: coop - 241565 % ghcnd - USC00241565 % ncdc - 12003057 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ebb9d7a080973dbb0c848e5948c5f630 % Raw Data Hash: 36a327a180297ddeac37a4ab43593f7b % Adj Data Hash: 41258eb712d6e08efe8983ea6783e8c6 % % 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 1895 12 NaN NaN NaN NaN NaN NaN -4.117 -0.409 1896 1 NaN NaN NaN NaN NaN NaN -4.801 1.505 1896 2 NaN NaN NaN NaN NaN NaN 1.433 4.441 1896 3 NaN NaN NaN NaN NaN NaN -3.980 -2.824 1896 4 NaN NaN NaN NaN NaN NaN 2.501 -1.534 1896 5 NaN NaN NaN NaN NaN NaN 7.636 -1.971 1896 6 NaN NaN NaN NaN NaN NaN 15.194 1.094 1896 7 NaN NaN NaN NaN NaN NaN 19.069 0.785 1896 8 NaN NaN NaN NaN NaN NaN 16.838 -0.588 1896 9 NaN NaN NaN NaN NaN NaN 9.373 -2.772 1896 10 NaN NaN NaN NaN NaN NaN 7.731 0.801 1896 11 NaN NaN NaN NaN NaN NaN -7.485 -7.318 1896 12 -0.794 4.241 1 0 NaN NaN 1.596 5.304 1897 1 -6.366 1.267 0 0 -6.366 1.267 -6.344 -0.038 1897 2 -5.466 -1.131 0 0 -5.466 -1.131 -3.581 -0.573 1897 3 -5.856 -3.374 0 0 -5.856 -3.374 -6.812 -5.657 1897 4 4.500 1.792 0 0 4.500 1.792 4.645 0.610 1897 5 11.773 3.492 0 0 11.773 3.492 13.403 3.796 1897 6 13.030 0.257 0 0 13.030 0.257 13.437 -0.662 1897 7 14.211 -2.745 0 0 14.211 -2.745 17.009 -1.274 1897 8 15.247 -0.852 0 0 15.247 -0.852 18.307 0.881 1897 9 11.712 0.894 0 0 11.712 0.894 13.830 1.685 1897 10 5.289 -0.314 0 0 5.289 -0.314 7.662 0.732 1897 11 -2.522 -1.028 0 0 -2.522 -1.028 -2.770 -2.603 1897 12 -5.113 -0.078 0 0 -5.113 -0.078 -5.061 -1.353 1898 1 -6.750 0.883 0 0 -6.750 0.883 -6.489 -0.183 1898 2 -2.095 2.241 0 0 -2.095 2.241 0.038 3.046 1898 3 -5.868 -3.386 0 0 -5.868 -3.386 -6.209 -5.054 1898 4 4.055 1.347 0 0 4.055 1.347 5.241 1.206 1898 5 6.553 -1.727 0 0 6.553 -1.727 7.901 -1.706 1898 6 11.440 -1.333 0 0 11.440 -1.333 12.797 -1.302 1898 7 14.437 -2.519 0 0 14.437 -2.519 17.412 -0.872 1898 8 15.552 -0.547 0 0 15.552 -0.547 18.592 1.166 1898 9 9.352 -1.466 0 0 9.352 -1.466 11.430 -0.715 1898 10 1.531 -4.072 0 0 1.531 -4.072 4.377 -2.553 1898 11 -3.475 -1.982 1 0 NaN NaN -2.404 -2.238 1898 12 -5.187 -0.152 0 0 -5.187 -0.152 -5.430 -1.722 1899 1 NaN NaN NaN NaN NaN NaN -6.593 -0.287 1899 2 NaN NaN NaN NaN NaN NaN -11.346 -8.338 1899 3 -7.413 -4.931 0 0 -7.413 -4.931 -6.651 -5.496 1899 4 1.222 -1.487 0 0 1.222 -1.487 2.947 -1.088 1899 5 5.224 -3.056 0 0 5.224 -3.056 7.312 -2.295 1899 6 NaN NaN NaN NaN NaN NaN 12.395 -1.705 1899 7 NaN NaN NaN NaN NaN NaN 18.009 -0.274 1899 8 NaN NaN NaN NaN NaN NaN 15.491 -1.935 1899 9 NaN NaN NaN NaN NaN NaN 12.940 0.795 1899 10 NaN NaN NaN NaN NaN NaN 5.655 -1.275 1899 11 NaN NaN NaN NaN NaN NaN 3.797 3.963 1899 12 NaN NaN NaN NaN NaN NaN -3.416 0.292 1900 1 NaN NaN NaN NaN NaN NaN -2.040 4.266 1900 2 NaN NaN NaN NaN NaN NaN -5.427 -2.419 1900 3 NaN NaN NaN NaN NaN NaN -0.031 1.124 1900 4 NaN NaN NaN NaN NaN NaN 5.802 1.767 1900 5 NaN NaN NaN NaN NaN NaN 11.467 1.860