% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35272 % Primary Name: STOYESTOWN % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.10250 +/- 0.00005 % Longitude: -78.95220 +/- 0.00005 % Elevation (m): 607.16 +/- 0.15 % # of Months: 11 % % Alternate Names: Missing Station ID - 368558 % % IDs: coop - 368558 % ghcnd - USC00368558 % ncdc - 12004816 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a72b85f9850609ce7efb5d86cb5dd263 % Raw Data Hash: a97972725e330f0806489ae190af42dd % Adj Data Hash: b427228a36f81ed6d201f9b79e3cf313 % % 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 1921 11 NaN NaN NaN NaN NaN NaN 6.955 1.576 1921 12 NaN NaN NaN NaN NaN NaN 0.662 0.696 1922 1 NaN NaN NaN NaN NaN NaN -3.618 -1.510 1922 2 NaN NaN NaN NaN NaN NaN 1.085 2.015 1922 3 NaN NaN NaN NaN NaN NaN 5.333 1.312 1922 4 NaN NaN NaN NaN NaN NaN 10.748 0.782 1922 5 NaN NaN NaN NaN NaN NaN 16.215 0.964 1922 6 NaN NaN NaN NaN NaN NaN 20.231 0.702 1922 7 NaN NaN NaN NaN NaN NaN 21.408 -0.276 1922 8 NaN NaN NaN NaN NaN NaN 19.521 -1.554 1922 9 NaN NaN NaN NaN NaN NaN 18.558 1.046 1922 10 NaN NaN NaN NaN NaN NaN 11.873 0.886 1922 11 6.405 1.637 0 0 6.405 1.637 6.229 0.849 1922 12 0.287 0.933 0 0 0.287 0.933 0.895 0.929 1923 1 -1.608 1.111 0 0 -1.608 1.111 -0.884 1.224 1923 2 -4.122 -2.580 1 0 NaN NaN -3.038 -2.108 1923 3 3.095 -0.314 0 0 3.095 -0.314 4.264 0.243 1923 4 NaN NaN NaN NaN NaN NaN 9.071 -0.895 1923 5 13.270 -1.369 0 0 13.270 -1.369 13.856 -1.395 1923 6 19.467 0.550 0 0 19.467 0.550 20.168 0.639 1923 7 19.800 -1.271 0 0 19.800 -1.271 20.684 -0.999 1923 8 19.689 -0.774 0 0 19.689 -0.774 20.313 -0.762 1923 9 16.331 -0.568 1 0 NaN NaN 17.894 0.382 1923 10 9.185 -1.190 0 0 9.185 -1.190 9.571 -1.417 1923 11 NaN NaN NaN NaN NaN NaN 4.932 -0.447 1923 12 NaN NaN NaN NaN NaN NaN 4.292 4.326 1924 1 NaN NaN NaN NaN NaN NaN -2.575 -0.467 1924 2 NaN NaN NaN NaN NaN NaN -2.784 -1.854 1924 3 NaN NaN NaN NaN NaN NaN 2.461 -1.560 1924 4 NaN NaN NaN NaN NaN NaN 8.525 -1.441 1924 5 NaN NaN NaN NaN NaN NaN 11.922 -3.329 1924 6 NaN NaN NaN NaN NaN NaN 18.744 -0.785 1924 7 NaN NaN NaN NaN NaN NaN 19.858 -1.825 1924 8 NaN NaN NaN NaN NaN NaN 20.748 -0.326 1924 9 NaN NaN NaN NaN NaN NaN 14.828 -2.684 1924 10 NaN NaN NaN NaN NaN NaN 10.885 -0.102