% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36628 % Primary Name: MUHLENBURG 1 SE % Record Type: TAVG % Country: United States % State: PA % Latitude: 41.21670 +/- 0.00005 % Longitude: -76.13330 +/- 0.00005 % Elevation (m): 338.90 +/- 0.05 % # of Months: 74 % % IDs: coop - 366090 % ghcnd - USC00366090 % ncdc - 20017002 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 203726d896651dc35254dbfe3a7c5b6f % Raw Data Hash: 2f7222379292b9fe03c481c638de4921 % Adj Data Hash: f2cd2da2d87cd528a978fb077e4ce6f0 % % 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 1952 9 NaN NaN NaN NaN NaN NaN 17.423 0.250 1952 10 NaN NaN NaN NaN NaN NaN 8.640 -2.067 1952 11 NaN NaN NaN NaN NaN NaN 6.096 1.205 1952 12 NaN NaN NaN NaN NaN NaN -0.130 1.172 1953 1 NaN NaN NaN NaN NaN NaN -0.103 3.585 1953 2 NaN NaN NaN NaN NaN NaN 0.291 2.886 1953 3 NaN NaN NaN NaN NaN NaN 4.085 1.438 1953 4 NaN NaN NaN NaN NaN NaN 8.772 -0.389 1953 5 NaN NaN NaN NaN NaN NaN 16.087 1.292 1953 6 NaN NaN NaN NaN NaN NaN 20.056 0.400 1953 7 NaN NaN NaN NaN NaN NaN 22.334 0.255 1953 8 NaN NaN NaN NaN NaN NaN 20.990 -0.213 1953 9 -17.778 -34.390 1 0 NaN NaN 17.609 0.436 1953 10 12.611 2.464 0 0 12.611 2.464 11.990 1.282 1953 11 6.722 2.392 0 0 6.722 2.392 5.920 1.029 1953 12 1.500 3.363 0 0 1.500 3.363 0.984 2.286 1954 1 -4.111 0.138 0 0 -4.111 0.138 -4.027 -0.339 1954 2 1.556 4.712 0 0 1.556 4.712 1.314 3.909 1954 3 2.389 0.303 0 0 2.389 0.303 2.867 0.221 1954 4 9.722 1.122 0 0 9.722 1.122 11.261 2.100 1954 5 13.444 -0.790 0 0 13.444 -0.790 13.230 -1.565 1954 6 19.611 0.517 0 0 19.611 0.517 20.200 0.545 1954 7 20.833 -0.685 0 0 20.833 -0.685 21.560 -0.519 1954 8 -17.778 -38.420 1 0 NaN NaN 20.219 -0.984 1954 9 18.000 1.388 0 0 18.000 1.388 17.770 0.597 1954 10 12.167 2.020 0 0 12.167 2.020 12.719 2.011 1954 11 3.889 -0.442 0 0 3.889 -0.442 4.786 -0.105 1954 12 -3.000 -1.137 0 0 -3.000 -1.137 -1.609 -0.307 1955 1 -4.778 -0.529 0 0 -4.778 -0.529 -3.895 -0.207 1955 2 -2.333 0.823 0 0 -2.333 0.823 -2.431 0.165 1955 3 2.778 0.692 0 0 2.778 0.692 3.634 0.988 1955 4 10.333 1.733 0 0 10.333 1.733 11.543 2.382 1955 5 15.722 1.488 0 0 15.722 1.488 16.088 1.292 1955 6 18.222 -0.872 0 0 18.222 -0.872 18.480 -1.175 1955 7 24.167 2.649 0 0 24.167 2.649 24.900 2.821 1955 8 22.889 2.247 0 0 22.889 2.247 23.414 2.211 1955 9 16.056 -0.556 0 0 16.056 -0.556 16.993 -0.180 1955 10 11.889 1.742 0 0 11.889 1.742 11.952 1.245 1955 11 2.667 -1.664 0 0 2.667 -1.664 4.022 -0.870 1955 12 -5.167 -3.304 0 0 -5.167 -3.304 -4.228 -2.926 1956 1 -3.833 0.415 0 0 -3.833 0.415 -3.052 0.636 1956 2 -1.389 1.767 0 0 -1.389 1.767 -1.053 1.542 1956 3 0.278 -1.808 0 0 0.278 -1.808 1.105 -1.542 1956 4 6.500 -2.100 0 0 6.500 -2.100 7.964 -1.197 1956 5 12.167 -2.068 0 0 12.167 -2.068 12.947 -1.848 1956 6 19.500 0.406 0 0 19.500 0.406 19.905 0.250 1956 7 19.222 -2.296 0 0 19.222 -2.296 20.456 -1.623 1956 8 19.222 -1.420 0 0 19.222 -1.420 20.420 -0.783 1956 9 14.000 -2.612 0 0 14.000 -2.612 15.365 -1.808 1956 10 10.389 0.242 0 0 10.389 0.242 11.265 0.557 1956 11 4.444 0.114 0 0 4.444 0.114 5.684 0.793 1956 12 0.444 2.307 0 0 0.444 2.307 1.713 3.015 1957 1 -6.056 -1.807 0 0 -6.056 -1.807 -5.060 -1.372 1957 2 -0.556 2.601 0 0 -0.556 2.601 -0.283 2.312 1957 3 2.611 0.526 0 0 2.611 0.526 3.150 0.504 1957 4 10.167 1.567 0 0 10.167 1.567 10.626 1.465 1957 5 14.889 0.654 0 0 14.889 0.654 14.752 -0.043 1957 6 21.111 2.017 0 0 21.111 2.017 21.117 1.462 1957 7 21.444 -0.074 0 0 21.444 -0.074 21.738 -0.341 1957 8 19.778 -0.864 0 0 19.778 -0.864 20.058 -1.145 1957 9 -17.778 -34.390 1 0 NaN NaN 17.838 0.665 1957 10 9.500 -0.647 0 0 9.500 -0.647 9.597 -1.111 1957 11 -17.778 -22.108 1 0 NaN NaN 6.134 1.243 1957 12 NaN NaN NaN NaN NaN NaN 0.823 2.125 1958 1 NaN NaN NaN NaN NaN NaN -3.519 0.169 1958 2 NaN NaN NaN NaN NaN NaN -5.786 -3.191 1958 3 NaN NaN NaN NaN NaN NaN 2.128 -0.518 1958 4 9.722 1.122 0 0 9.722 1.122 10.262 1.101 1958 5 13.222 -1.012 0 0 13.222 -1.012 13.426 -1.369 1958 6 16.722 -2.372 0 0 16.722 -2.372 16.988 -2.667 1958 7 21.611 0.093 0 0 21.611 0.093 22.519 0.440 1958 8 19.944 -0.698 0 0 19.944 -0.698 20.683 -0.520 1958 9 16.333 -0.279 0 0 16.333 -0.279 16.863 -0.310 1958 10 10.167 0.020 0 0 10.167 0.020 10.240 -0.468 1958 11 4.944 0.614 0 0 4.944 0.614 6.123 1.232 1958 12 -5.833 -3.971 0 0 -5.833 -3.971 -5.634 -4.332 1959 1 -4.111 0.138 0 0 -4.111 0.138 -4.012 -0.324 1959 2 -3.611 -0.455 0 0 -3.611 -0.455 -2.961 -0.366 1959 3 1.500 -0.585 0 0 1.500 -0.585 2.116 -0.530 1959 4 10.167 1.567 0 0 10.167 1.567 10.467 1.306 1959 5 16.278 2.043 0 0 16.278 2.043 16.484 1.689 1959 6 19.389 0.295 0 0 19.389 0.295 20.157 0.502 1959 7 21.444 -0.074 0 0 21.444 -0.074 22.647 0.569 1959 8 22.278 1.636 0 0 22.278 1.636 22.937 1.734 1959 9 18.333 1.721 0 0 18.333 1.721 19.260 2.088 1959 10 12.556 2.409 0 0 12.556 2.409 12.371 1.663 1959 11 2.833 -1.497 0 0 2.833 -1.497 4.507 -0.385 1959 12 -0.722 1.141 0 0 -0.722 1.141 -0.161 1.141 1960 1 -2.278 1.971 0 0 -2.278 1.971 -1.570 2.118 1960 2 -1.333 1.823 0 0 -1.333 1.823 -1.137 1.458 1960 3 NaN NaN NaN NaN NaN NaN -2.655 -5.301 1960 4 NaN NaN NaN NaN NaN NaN 12.051 2.890 1960 5 NaN NaN NaN NaN NaN NaN 13.747 -1.048 1960 6 NaN NaN NaN NaN NaN NaN 19.209 -0.446 1960 7 NaN NaN NaN NaN NaN NaN 20.572 -1.507 1960 8 NaN NaN NaN NaN NaN NaN 21.743 0.540 1960 9 NaN NaN NaN NaN NaN NaN 17.901 0.728 1960 10 NaN NaN NaN NaN NaN NaN 10.432 -0.276 1960 11 NaN NaN NaN NaN NaN NaN 6.277 1.385 1960 12 NaN NaN NaN NaN NaN NaN -5.906 -4.604 1961 1 NaN NaN NaN NaN NaN NaN -6.787 -3.099 1961 2 NaN NaN NaN NaN NaN NaN -1.875 0.720