% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35507 % Primary Name: SUMMERDALE NEAR % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.31670 +/- 0.00005 % Longitude: -76.91670 +/- 0.00005 % Elevation (m): 152.40 +/- 0.15 % # of Months: 70 % % Alternate Names: Missing Station ID - 368636 % % IDs: coop - 368636 % ghcnd - USC00368636 % ncdc - 12004818 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d1fc5f8d6fce2e81e39a4f0cccaf2797 % Raw Data Hash: 06bf23bdcfe0d0df742ea00eb080e954 % Adj Data Hash: 6944230c9a3152098adb09d8ccab004f % % 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 1934 3 NaN NaN NaN NaN NaN NaN 0.816 -1.830 1934 4 NaN NaN NaN NaN NaN NaN 9.053 -0.108 1934 5 NaN NaN NaN NaN NaN NaN 15.675 0.880 1934 6 NaN NaN NaN NaN NaN NaN 21.699 2.044 1934 7 NaN NaN NaN NaN NaN NaN 23.449 1.370 1934 8 NaN NaN NaN NaN NaN NaN 19.515 -1.688 1934 9 NaN NaN NaN NaN NaN NaN 18.328 1.155 1934 10 NaN NaN NaN NaN NaN NaN 9.725 -0.982 1934 11 NaN NaN NaN NaN NaN NaN 6.857 1.966 1934 12 NaN NaN NaN NaN NaN NaN -2.186 -0.884 1935 1 NaN NaN NaN NaN NaN NaN -4.480 -0.792 1935 2 NaN NaN NaN NaN NaN NaN -3.423 -0.828 1935 3 6.858 1.932 0 0 6.858 1.932 4.437 1.791 1935 4 9.982 -1.459 0 0 9.982 -1.459 7.841 -1.320 1935 5 14.952 -2.123 0 0 14.952 -2.123 12.276 -2.520 1935 6 21.023 -0.911 0 0 21.023 -0.911 18.840 -0.815 1935 7 25.023 0.664 0 0 25.023 0.664 23.294 1.215 1935 8 23.406 -0.076 0 0 23.406 -0.076 21.025 -0.178 1935 9 18.030 -1.422 0 0 18.030 -1.422 15.813 -1.359 1935 10 13.306 0.320 0 0 13.306 0.320 10.603 -0.105 1935 11 8.477 1.306 0 0 8.477 1.306 6.662 1.771 1935 12 -1.627 -2.605 0 0 -1.627 -2.605 -4.491 -3.189 1936 1 -3.276 -1.867 0 0 -3.276 -1.867 -6.112 -2.424 1936 2 -4.309 -3.993 0 0 -4.309 -3.993 -7.470 -4.875 1936 3 7.400 2.474 0 0 7.400 2.474 5.260 2.613 1936 4 9.372 -2.069 0 0 9.372 -2.069 7.585 -1.576 1936 5 18.544 1.469 0 0 18.544 1.469 16.161 1.366 1936 6 21.655 -0.280 0 0 21.655 -0.280 19.343 -0.312 1936 7 24.515 0.156 0 0 24.515 0.156 22.356 0.277 1936 8 24.255 0.773 0 0 24.255 0.773 22.040 0.838 1936 9 20.523 1.071 0 0 20.523 1.071 18.241 1.069 1936 10 13.589 0.602 1 0 NaN NaN 11.037 0.330 1936 11 4.573 -2.597 0 0 4.573 -2.597 3.161 -1.730 1936 12 1.855 0.877 0 0 1.855 0.877 -0.247 1.055 1937 1 2.697 4.105 0 0 2.697 4.105 0.692 4.379 1937 2 0.539 0.855 0 0 0.539 0.855 -1.855 0.740 1937 3 2.997 -1.929 0 0 2.997 -1.929 0.445 -2.201 1937 4 9.787 -1.654 0 0 9.787 -1.654 8.109 -1.052 1937 5 17.208 0.133 0 0 17.208 0.133 15.123 0.327 1937 6 22.388 0.454 0 0 22.388 0.454 20.151 0.496 1937 7 23.855 -0.503 0 0 23.855 -0.503 21.845 -0.234 1937 8 24.202 0.719 0 0 24.202 0.719 22.350 1.147 1937 9 17.930 -1.522 0 0 17.930 -1.522 15.706 -1.467 1937 10 11.435 -1.551 0 0 11.435 -1.551 9.266 -1.442 1937 11 6.336 -0.835 0 0 6.336 -0.835 4.837 -0.054 1937 12 0.200 -0.777 0 0 0.200 -0.777 -2.630 -1.328 1938 1 -0.574 0.834 0 0 -0.574 0.834 -3.161 0.527 1938 2 1.702 2.018 0 0 1.702 2.018 -0.962 1.633 1938 3 6.745 1.819 0 0 6.745 1.819 4.789 2.143 1938 4 7.123 -4.317 1 0 NaN NaN 10.074 0.913 1938 5 16.071 -1.003 1 0 NaN NaN 13.715 -1.080 1938 6 21.250 -0.685 0 0 21.250 -0.685 18.916 -0.739 1938 7 24.350 -0.008 0 0 24.350 -0.008 22.321 0.242 1938 8 24.952 1.469 0 0 24.952 1.469 22.796 1.593 1938 9 18.195 -1.257 0 0 18.195 -1.257 15.666 -1.507 1938 10 13.924 0.937 0 0 13.924 0.937 11.462 0.754 1938 11 1.572 -5.599 1 0 NaN NaN 5.766 0.875 1938 12 1.029 0.052 0 0 1.029 0.052 -1.233 0.069 1939 1 -0.224 1.184 0 0 -0.224 1.184 -2.828 0.860 1939 2 2.182 2.498 0 0 2.182 2.498 -0.803 1.792 1939 3 4.773 -0.153 0 0 4.773 -0.153 2.633 -0.014 1939 4 9.202 -2.239 0 0 9.202 -2.239 7.772 -1.389 1939 5 18.715 1.640 0 0 18.715 1.640 16.211 1.415 1939 6 22.530 0.595 0 0 22.530 0.595 20.077 0.422 1939 7 23.697 -0.661 0 0 23.697 -0.661 21.666 -0.413 1939 8 24.927 1.445 0 0 24.927 1.445 22.582 1.379 1939 9 20.015 0.563 0 0 20.015 0.563 17.840 0.668 1939 10 14.223 1.236 1 0 NaN NaN 10.709 0.002 1939 11 NaN NaN NaN NaN NaN NaN 3.901 -0.991 1939 12 1.320 0.343 1 0 NaN NaN -0.544 0.758 1940 1 -5.540 -4.132 0 0 -5.540 -4.132 -7.786 -4.098 1940 2 0.103 0.419 0 0 0.103 0.419 -2.902 -0.307 1940 3 1.461 -3.464 0 0 1.461 -3.464 -0.789 -3.435 1940 4 8.545 -2.895 1 0 NaN NaN 6.505 -2.655 1940 5 17.073 -0.002 1 0 NaN NaN 14.465 -0.331 1940 6 20.855 -1.080 0 0 20.855 -1.080 18.871 -0.785 1940 7 24.161 -0.197 0 0 24.161 -0.197 21.845 -0.234 1940 8 21.426 -2.056 0 0 21.426 -2.056 19.497 -1.706 1940 9 17.937 -1.515 0 0 17.937 -1.515 15.715 -1.458 1940 10 11.348 -1.639 0 0 11.348 -1.639 8.547 -2.160 1940 11 NaN NaN NaN NaN NaN NaN 4.852 -0.039 1940 12 2.675 1.698 0 0 2.675 1.698 0.140 1.442 1941 1 -1.306 0.102 0 0 -1.306 0.102 -3.963 -0.275 1941 2 NaN NaN NaN NaN NaN NaN -4.322 -1.727 1941 3 1.567 -3.358 1 0 NaN NaN -0.742 -3.388 1941 4 NaN NaN NaN NaN NaN NaN 12.160 3.000 1941 5 NaN NaN NaN NaN NaN NaN 15.354 0.559 1941 6 NaN NaN NaN NaN NaN NaN 19.533 -0.122 1941 7 NaN NaN NaN NaN NaN NaN 22.395 0.317 1941 8 NaN NaN NaN NaN NaN NaN 19.884 -1.319 1941 9 NaN NaN NaN NaN NaN NaN 18.267 1.094 1941 10 NaN NaN NaN NaN NaN NaN 12.985 2.278 1941 11 NaN NaN NaN NaN NaN NaN 6.529 1.638 1941 12 NaN NaN NaN NaN NaN NaN 0.397 1.699 1942 1 NaN NaN NaN NaN NaN NaN -4.229 -0.541 1942 2 NaN NaN NaN NaN NaN NaN -4.108 -1.513 1942 3 NaN NaN NaN NaN NaN NaN 4.129 1.482