% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41268 % Primary Name: MCRAE NEAR % Record Type: TAVG % Country: United States % State: MT % Latitude: 45.78330 +/- 0.00005 % Longitude: -107.11670 +/- 0.00005 % Elevation (m): 914.40 +/- 0.15 % # of Months: 49 % % Alternate Names: Missing Station ID - 245556 % % IDs: coop - 245556 % ghcnd - USC00245556 % ncdc - 12003135 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6ce56bb80a872c45645a70003ff7745d % Raw Data Hash: bb0ea9260f581f3d0b1d12d94cb5e126 % Adj Data Hash: 5447c484da29e11b16f256d083ab0c0d % % 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 1939 10 NaN NaN NaN NaN NaN NaN 9.278 1.127 1939 11 NaN NaN NaN NaN NaN NaN 3.316 3.213 1939 12 NaN NaN NaN NaN NaN NaN 0.580 5.449 1940 1 NaN NaN NaN NaN NaN NaN -12.135 -4.048 1940 2 NaN NaN NaN NaN NaN NaN -3.180 0.610 1940 3 NaN NaN NaN NaN NaN NaN 2.218 2.241 1940 4 NaN NaN NaN NaN NaN NaN 5.226 -1.050 1940 5 NaN NaN NaN NaN NaN NaN 13.908 1.636 1940 6 NaN NaN NaN NaN NaN NaN 17.979 0.827 1940 7 NaN NaN NaN NaN NaN NaN 23.013 1.659 1940 8 NaN NaN NaN NaN NaN NaN 21.705 1.468 1940 9 NaN NaN NaN NaN NaN NaN 17.451 3.226 1940 10 11.435 3.439 0 0 11.283 3.286 11.618 3.467 1940 11 -2.788 -2.736 1 0 NaN NaN -3.606 -3.709 1940 12 -2.405 2.618 0 0 -2.558 2.465 -1.963 2.905 1941 1 -3.652 4.589 0 0 -3.804 4.437 -4.612 3.474 1941 2 NaN NaN NaN NaN NaN NaN -1.009 2.781 1941 3 1.437 1.615 0 0 1.284 1.462 0.512 0.536 1941 4 6.233 0.112 0 0 6.081 -0.041 6.031 -0.245 1941 5 13.697 1.579 0 0 13.544 1.426 14.157 1.885 1941 6 17.013 0.015 0 0 16.861 -0.138 16.950 -0.202 1941 7 21.526 0.327 0 0 21.373 0.174 22.061 0.707 1941 8 21.205 1.123 0 0 21.052 0.970 20.856 0.620 1941 9 11.800 -2.270 0 0 11.647 -2.423 11.300 -2.925 1941 10 6.767 -1.230 0 0 6.614 -1.382 7.565 -0.586 1941 11 1.923 1.975 0 0 1.771 1.822 1.792 1.689 1941 12 -3.589 1.434 0 0 -3.742 1.281 -3.587 1.281 1942 1 -7.770 0.471 0 0 -7.922 0.319 -6.924 1.163 1942 2 -6.700 -2.755 0 0 -6.853 -2.908 -5.222 -1.432 1942 3 0.010 0.188 0 0 -0.143 0.035 0.142 0.165 1942 4 8.942 2.820 0 0 8.789 2.667 8.303 2.027 1942 5 9.808 -2.310 0 0 9.655 -2.463 10.175 -2.097 1942 6 14.728 -2.270 0 0 14.576 -2.423 14.458 -2.695 1942 7 20.131 -1.069 0 0 19.978 -1.221 21.103 -0.251 1942 8 19.108 -0.974 0 0 18.955 -1.127 19.721 -0.515 1942 9 13.453 -0.618 1 0 NaN NaN 13.410 -0.815 1942 10 NaN NaN NaN NaN NaN NaN 9.503 1.352 1942 11 -1.787 -1.735 1 0 NaN NaN -0.036 -0.139 1942 12 -1.934 3.089 0 0 -2.087 2.936 -3.400 1.469 1943 1 -10.444 -2.203 0 0 -10.596 -2.355 -12.184 -4.097 1943 2 -2.334 1.610 1 0 NaN NaN -0.471 3.319 1943 3 -4.323 -4.145 0 0 -4.476 -4.298 -4.973 -4.949 1943 4 9.687 3.566 0 1 9.862 3.740 9.825 3.549 1943 5 9.165 -2.953 0 0 9.339 -2.779 10.366 -1.906 1943 6 14.647 -2.351 0 0 14.821 -2.177 14.947 -2.206 1943 7 21.593 0.394 0 0 21.768 0.569 21.410 0.056 1943 8 20.281 0.199 0 0 20.455 0.373 20.881 0.644 1943 9 NaN NaN NaN NaN NaN NaN 13.742 -0.483 1943 10 NaN NaN NaN NaN NaN NaN 10.713 2.562 1943 11 2.312 2.363 0 0 2.486 2.538 1.721 1.618 1943 12 -1.069 3.953 0 0 -0.895 4.128 -1.557 3.311 1944 1 NaN NaN NaN NaN NaN NaN -4.077 4.010 1944 2 NaN NaN NaN NaN NaN NaN -4.645 -0.855 1944 3 -4.042 -3.864 0 0 -3.867 -3.689 -3.489 -3.466 1944 4 8.823 2.702 0 0 8.998 2.877 7.178 0.902 1944 5 14.916 2.798 0 0 15.091 2.973 13.870 1.598 1944 6 13.757 -3.241 0 0 13.931 -3.067 14.031 -3.121 1944 7 18.139 -3.061 0 0 18.313 -2.886 19.376 -1.977 1944 8 17.503 -2.579 0 0 17.678 -2.404 18.682 -1.554 1944 9 NaN NaN NaN NaN NaN NaN 13.644 -0.581 1944 10 7.609 -0.388 0 0 7.783 -0.213 10.908 2.757 1944 11 0.169 0.220 0 0 0.343 0.395 -0.416 -0.519 1944 12 NaN NaN NaN NaN NaN NaN -5.424 -0.555 1945 1 -7.098 1.143 0 0 -6.924 1.317 -6.297 1.789 1945 2 -4.843 -0.898 0 0 -4.668 -0.723 -3.324 0.466 1945 3 1.495 1.673 0 0 1.670 1.848 1.351 1.374 1945 4 1.192 -4.930 0 0 1.366 -4.755 3.920 -2.356 1945 5 10.931 -1.187 0 0 11.105 -1.013 10.567 -1.706 1945 6 14.092 -2.906 0 0 14.267 -2.731 13.327 -3.826 1945 7 NaN NaN NaN NaN NaN NaN 21.355 0.001 1945 8 NaN NaN NaN NaN NaN NaN 20.287 0.051 1945 9 NaN NaN NaN NaN NaN NaN 12.402 -1.822 1945 10 NaN NaN NaN NaN NaN NaN 10.279 2.128 1945 11 NaN NaN NaN NaN NaN NaN -0.353 -0.456 1945 12 NaN NaN NaN NaN NaN NaN -6.609 -1.740 1946 1 NaN NaN NaN NaN NaN NaN -3.943 4.144 1946 2 NaN NaN NaN NaN NaN NaN -1.593 2.198 1946 3 NaN NaN NaN NaN NaN NaN 3.821 3.844 1946 4 NaN NaN NaN NaN NaN NaN 10.038 3.762 1946 5 NaN NaN NaN NaN NaN NaN 10.519 -1.753 1946 6 NaN NaN NaN NaN NaN NaN 16.106 -1.047