% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33167 % Primary Name: WHALEYSVILLE % Record Type: TAVG % Country: United States % State: MD % Latitude: 38.40000 +/- 0.00833 % Longitude: -75.30000 +/- 0.00833 % Elevation (m): 9.10 +/- 0.05 % # of Months: 31 % % IDs: coop - 189497 % ghcnd - USC00189497 % ncdc - 20009445 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 53f6cddac61d39e09e397f2acc83c79e % Raw Data Hash: 081207ca4d3090071004d161ff3b4f02 % Adj Data Hash: 081207ca4d3090071004d161ff3b4f02 % % 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 1947 12 NaN NaN NaN NaN NaN NaN 4.251 -1.354 1948 1 NaN NaN NaN NaN NaN NaN 0.524 -2.997 1948 2 NaN NaN NaN NaN NaN NaN 3.765 -0.185 1948 3 NaN NaN NaN NaN NaN NaN 9.200 1.813 1948 4 NaN NaN NaN NaN NaN NaN 12.402 0.245 1948 5 NaN NaN NaN NaN NaN NaN 17.043 -0.013 1948 6 NaN NaN NaN NaN NaN NaN 21.764 0.093 1948 7 NaN NaN NaN NaN NaN NaN 24.507 0.128 1948 8 NaN NaN NaN NaN NaN NaN 23.887 -0.375 1948 9 NaN NaN NaN NaN NaN NaN 20.985 -0.436 1948 10 NaN NaN NaN NaN NaN NaN 14.026 -1.636 1948 11 NaN NaN NaN NaN NaN NaN 13.657 3.077 1948 12 5.278 0.425 0 0 5.278 0.425 6.846 1.241 1949 1 7.111 4.342 0 0 7.111 4.342 8.095 4.574 1949 2 6.833 3.635 0 0 6.833 3.635 7.539 3.588 1949 3 8.056 1.420 0 0 8.056 1.420 8.392 1.005 1949 4 12.056 0.650 0 0 12.056 0.650 12.390 0.233 1949 5 17.389 1.084 0 0 17.389 1.084 17.108 0.051 1949 6 22.667 1.748 0 0 22.667 1.748 22.563 0.892 1949 7 26.389 2.761 0 0 26.389 2.761 26.253 1.874 1949 8 24.278 0.767 0 0 24.278 0.767 24.863 0.600 1949 9 19.000 -1.669 0 0 19.000 -1.669 20.667 -0.754 1949 10 16.444 1.535 0 0 16.444 1.535 17.891 2.229 1949 11 8.222 -1.605 0 0 8.222 -1.605 10.648 0.068 1949 12 5.444 0.591 0 0 5.444 0.591 6.838 1.232 1950 1 8.889 6.120 0 0 8.889 6.120 10.132 6.611 1950 2 3.722 0.523 0 0 3.722 0.523 4.793 0.842 1950 3 5.500 -1.135 0 0 5.500 -1.135 6.463 -0.924 1950 4 10.333 -1.072 0 0 10.333 -1.072 10.930 -1.228 1950 5 15.889 -0.416 0 0 15.889 -0.416 16.034 -1.023 1950 6 21.500 0.581 0 0 21.500 0.581 21.419 -0.252 1950 7 23.778 0.150 0 0 23.778 0.150 23.757 -0.623 1950 8 22.333 -1.177 0 0 22.333 -1.177 23.049 -1.214 1950 9 18.778 -1.891 0 0 18.778 -1.891 20.439 -0.981 1950 10 15.333 0.423 0 0 15.333 0.423 16.780 1.118 1950 11 8.778 -1.050 0 0 8.778 -1.050 10.683 0.103 1950 12 2.389 -2.464 0 0 2.389 -2.464 3.703 -1.902 1951 1 4.667 1.897 0 0 4.667 1.897 5.775 2.254 1951 2 4.500 1.301 0 0 4.500 1.301 4.712 0.761 1951 3 6.722 0.087 0 0 6.722 0.087 7.175 -0.213 1951 4 12.333 0.928 0 0 12.333 0.928 12.420 0.262 1951 5 16.889 0.584 0 0 16.889 0.584 16.495 -0.562 1951 6 21.389 0.470 0 0 21.389 0.470 21.348 -0.323 1951 7 NaN NaN NaN NaN NaN NaN 24.426 0.047 1951 8 NaN NaN NaN NaN NaN NaN 23.878 -0.384 1951 9 NaN NaN NaN NaN NaN NaN 21.541 0.120 1951 10 NaN NaN NaN NaN NaN NaN 16.869 1.207 1951 11 NaN NaN NaN NaN NaN NaN 9.380 -1.200 1951 12 NaN NaN NaN NaN NaN NaN 6.952 1.347 1952 1 NaN NaN NaN NaN NaN NaN 6.087 2.565 1952 2 NaN NaN NaN NaN NaN NaN 4.954 1.004 1952 3 NaN NaN NaN NaN NaN NaN 7.070 -0.317 1952 4 NaN NaN NaN NaN NaN NaN 13.546 1.388 1952 5 NaN NaN NaN NaN NaN NaN 16.824 -0.233 1952 6 NaN NaN NaN NaN NaN NaN 23.464 1.793