% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35151 % Primary Name: MOUNTAIN HOUSE % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.01810 +/- 0.00005 % Longitude: -78.18640 +/- 0.00005 % Elevation (m): 534.92 +/- 0.15 % # of Months: 81 % % Alternate Names: Missing Station ID - 366068 % % IDs: coop - 366068 % ghcnd - USC00366068 % ncdc - 12004716 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5b4a8426c914a08ce5a2350463a19fda % Raw Data Hash: aae3994aab0a54fd7e9eefad3822fd4a % Adj Data Hash: e3e8bc7a4385692ef4e04a1e8a738d0c % % 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 1908 3 NaN NaN NaN NaN NaN NaN 6.550 2.529 1908 4 NaN NaN NaN NaN NaN NaN 10.926 0.960 1908 5 NaN NaN NaN NaN NaN NaN 15.347 0.096 1908 6 NaN NaN NaN NaN NaN NaN 19.125 -0.403 1908 7 NaN NaN NaN NaN NaN NaN 22.058 0.375 1908 8 NaN NaN NaN NaN NaN NaN 20.082 -0.992 1908 9 NaN NaN NaN NaN NaN NaN 17.707 0.195 1908 10 NaN NaN NaN NaN NaN NaN 11.202 0.214 1908 11 NaN NaN NaN NaN NaN NaN 5.379 -0.001 1908 12 NaN NaN NaN NaN NaN NaN 0.309 0.343 1909 1 NaN NaN NaN NaN NaN NaN -0.097 2.010 1909 2 NaN NaN NaN NaN NaN NaN 2.450 3.380 1909 3 1.919 -2.512 0 0 1.919 -2.512 2.735 -1.286 1909 4 9.345 -1.032 0 0 9.345 -1.032 9.918 -0.048 1909 5 16.197 0.535 0 0 16.197 0.535 14.610 -0.641 1909 6 21.097 1.157 0 0 21.097 1.157 20.262 0.734 1909 7 21.669 -0.424 0 0 21.669 -0.424 20.101 -1.582 1909 8 21.834 0.350 0 0 21.834 0.350 20.120 -0.955 1909 9 17.440 -0.482 0 0 17.440 -0.482 16.534 -0.978 1909 10 10.296 -1.102 0 0 10.296 -1.102 8.286 -2.701 1909 11 9.001 3.211 0 0 9.001 3.211 8.399 3.020 1909 12 -3.182 -3.559 0 0 -3.182 -3.559 -3.690 -3.656 1910 1 -1.836 -0.139 0 0 -1.836 -0.139 -2.035 0.072 1910 2 -1.792 -1.272 1 0 NaN NaN -2.332 -1.401 1910 3 8.571 4.140 0 0 8.571 4.140 8.177 4.156 1910 4 11.897 1.520 0 0 11.897 1.520 11.080 1.114 1910 5 13.918 -1.743 1 0 NaN NaN 13.189 -2.062 1910 6 18.620 -1.319 0 0 18.620 -1.319 17.637 -1.892 1910 7 23.133 1.040 1 0 NaN NaN 21.818 0.135 1910 8 21.435 -0.049 0 0 21.435 -0.049 20.361 -0.714 1910 9 18.945 1.023 0 0 18.945 1.023 18.831 1.319 1910 10 14.067 2.670 0 0 14.067 2.670 12.766 1.779 1910 11 1.793 -3.997 0 0 1.793 -3.997 2.179 -3.201 1910 12 -4.405 -4.782 0 0 -4.405 -4.782 -4.494 -4.460 1911 1 0.350 2.047 0 0 0.350 2.047 0.521 2.628 1911 2 -0.854 -0.334 0 0 -0.854 -0.334 0.290 1.220 1911 3 0.523 -3.908 1 0 NaN NaN 2.596 -1.425 1911 4 7.661 -2.716 0 0 7.661 -2.716 8.005 -1.961 1911 5 19.855 4.193 1 0 NaN NaN 17.529 2.278 1911 6 20.421 0.482 0 0 20.421 0.482 19.810 0.281 1911 7 23.719 1.626 0 0 23.719 1.626 22.009 0.326 1911 8 22.685 1.201 0 0 22.685 1.201 21.712 0.638 1911 9 18.937 1.015 0 0 18.937 1.015 18.985 1.474 1911 10 11.429 0.031 0 0 11.429 0.031 11.421 0.434 1911 11 3.017 -2.773 0 0 3.017 -2.773 3.705 -1.675 1911 12 2.635 2.258 0 0 2.635 2.258 2.265 2.299 1912 1 -7.933 -6.236 0 0 -7.933 -6.236 -7.031 -4.923 1912 2 -4.589 -4.069 0 0 -4.589 -4.069 -4.720 -3.790 1912 3 1.307 -3.124 0 0 1.307 -3.124 2.610 -1.410 1912 4 11.253 0.877 0 0 11.253 0.877 11.518 1.552 1912 5 17.056 1.395 0 0 17.056 1.395 15.852 0.601 1912 6 19.063 -0.876 0 0 19.063 -0.876 18.013 -1.516 1912 7 21.465 -0.629 0 0 21.465 -0.629 21.207 -0.476 1912 8 19.660 -1.825 0 0 19.660 -1.825 19.283 -1.791 1912 9 18.922 1.000 1 0 NaN NaN 19.191 1.679 1912 10 13.879 2.481 0 0 13.879 2.481 11.572 0.585 1912 11 6.416 0.626 0 0 6.416 0.626 5.874 0.494 1912 12 1.724 1.347 0 0 1.724 1.347 1.021 1.054 1913 1 2.444 4.141 0 0 2.444 4.141 2.584 4.692 1913 2 -1.850 -1.330 0 0 -1.850 -1.330 -1.675 -0.745 1913 3 5.432 1.001 0 0 5.432 1.001 6.383 2.362 1913 4 10.805 0.429 0 0 10.805 0.429 10.132 0.166 1913 5 15.583 -0.079 0 0 15.583 -0.079 14.598 -0.653 1913 6 21.278 1.339 0 0 21.278 1.339 19.443 -0.086 1913 7 22.060 -0.034 0 0 22.060 -0.034 21.553 -0.130 1913 8 21.905 0.421 0 0 21.905 0.421 20.757 -0.317 1913 9 16.431 -1.491 0 0 16.431 -1.491 16.566 -0.946 1913 10 12.026 0.628 0 0 12.026 0.628 11.520 0.532 1913 11 6.466 0.676 0 0 6.466 0.676 6.436 1.057 1913 12 1.337 0.960 1 0 NaN NaN 1.286 1.319 1914 1 -1.035 0.662 0 0 -1.035 0.662 -0.320 1.788 1914 2 -4.631 -4.111 0 0 -4.631 -4.111 -4.770 -3.839 1914 3 0.863 -3.568 0 0 0.863 -3.568 1.271 -2.750 1914 4 8.345 -2.031 0 0 8.345 -2.031 9.532 -0.434 1914 5 17.658 1.997 0 0 17.658 1.997 15.612 0.361 1914 6 20.915 0.976 0 0 20.915 0.976 20.433 0.904 1914 7 22.144 0.050 0 0 22.144 0.050 21.113 -0.570 1914 8 22.203 0.719 0 0 22.203 0.719 20.999 -0.076 1914 9 18.153 0.231 0 0 18.153 0.231 16.071 -1.441 1914 10 14.355 2.957 0 0 14.355 2.957 12.490 1.503 1914 11 4.792 -0.998 0 0 4.792 -0.998 5.020 -0.359 1914 12 -3.466 -3.843 0 0 -3.466 -3.843 -2.853 -2.820 1915 1 -2.395 -0.698 0 0 -2.395 -0.698 -2.133 -0.025 1915 2 NaN NaN NaN NaN NaN NaN 0.525 1.456 1915 3 -0.231 -4.662 0 0 -0.231 -4.662 0.039 -3.982 1915 4 12.995 2.619 0 0 12.995 2.619 11.884 1.918 1915 5 13.484 -2.178 0 0 13.484 -2.178 13.877 -1.374 1915 6 18.995 -0.944 0 0 18.995 -0.944 17.965 -1.564 1915 7 21.213 -0.881 0 0 21.213 -0.881 20.905 -0.778 1915 8 19.879 -1.606 1 0 NaN NaN 19.569 -1.505 1915 9 19.323 1.401 0 0 19.323 1.401 18.534 1.023 1915 10 12.813 1.415 0 0 12.813 1.415 11.972 0.985 1915 11 5.100 -0.690 0 0 5.100 -0.690 5.936 0.556 1915 12 -2.237 -2.614 0 0 -2.237 -2.614 -1.593 -1.559 1916 1 NaN NaN NaN NaN NaN NaN 1.513 3.621 1916 2 NaN NaN NaN NaN NaN NaN -2.441 -1.510 1916 3 NaN NaN NaN NaN NaN NaN 1.136 -2.885 1916 4 NaN NaN NaN NaN NaN NaN 8.954 -1.013 1916 5 NaN NaN NaN NaN NaN NaN 16.372 1.121 1916 6 NaN NaN NaN NaN NaN NaN 17.052 -2.477 1916 7 NaN NaN NaN NaN NaN NaN 22.282 0.599 1916 8 NaN NaN NaN NaN NaN NaN 21.314 0.239 1916 9 NaN NaN NaN NaN NaN NaN 16.287 -1.224 1916 10 NaN NaN NaN NaN NaN NaN 10.475 -0.513 1916 11 NaN NaN NaN NaN NaN NaN 5.689 0.309 1916 12 NaN NaN NaN NaN NaN NaN -1.070 -1.037