% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28106 % Primary Name: DALLAS ARBORETUM % Record Type: TAVG % Country: United States % State: TX % Latitude: 32.81670 +/- 0.00005 % Longitude: -96.71670 +/- 0.00005 % Elevation (m): 150.90 +/- 0.05 % # of Months: 16 % % IDs: coop - 412228 % ghcnd - USC00412228 % ncdc - 20026031 % nws - DLAT2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 48c798168697c05f0b6475c2fa043ec7 % Raw Data Hash: 9383fd565e43365d1f9e704a47c4bea1 % Adj Data Hash: 9383fd565e43365d1f9e704a47c4bea1 % % 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 1988 4 NaN NaN NaN NaN NaN NaN 17.881 -0.339 1988 5 NaN NaN NaN NaN NaN NaN 22.203 -0.300 1988 6 NaN NaN NaN NaN NaN NaN 26.796 -0.144 1988 7 NaN NaN NaN NaN NaN NaN 29.272 -0.082 1988 8 NaN NaN NaN NaN NaN NaN 30.362 1.346 1988 9 NaN NaN NaN NaN NaN NaN 25.706 0.464 1988 10 NaN NaN NaN NaN NaN NaN 18.273 -0.949 1988 11 NaN NaN NaN NaN NaN NaN 14.005 1.366 1988 12 NaN NaN NaN NaN NaN NaN 9.318 1.072 1989 1 NaN NaN NaN NaN NaN NaN 8.801 2.535 1989 2 NaN NaN NaN NaN NaN NaN 4.909 -3.930 1989 3 NaN NaN NaN NaN NaN NaN 12.644 -0.444 1989 4 18.833 0.665 0 0 18.833 0.665 18.821 0.601 1989 5 22.778 0.326 0 0 22.778 0.326 22.868 0.365 1989 6 24.722 -2.167 0 0 24.722 -2.167 25.324 -1.616 1989 7 27.167 -2.136 0 0 27.167 -2.136 27.828 -1.526 1989 8 27.000 -1.965 0 0 27.000 -1.965 27.629 -1.388 1989 9 22.778 -2.413 0 0 22.778 -2.413 23.280 -1.962 1989 10 20.167 0.996 0 0 20.167 0.996 20.338 1.116 1989 11 14.444 1.857 0 0 14.444 1.857 14.258 1.619 1989 12 3.833 -4.362 0 0 3.833 -4.362 3.710 -4.536 1990 1 10.944 4.730 0 0 10.944 4.730 9.984 3.718 1990 2 12.056 3.268 0 0 12.056 3.268 11.368 2.528 1990 3 13.944 0.908 0 0 13.944 0.908 13.539 0.451 1990 4 17.278 -0.891 0 0 17.278 -0.891 17.472 -0.748 1990 5 22.389 -0.063 0 0 22.389 -0.063 22.200 -0.303 1990 6 28.167 1.278 0 0 28.167 1.278 28.691 1.750 1990 7 28.167 -1.136 0 0 28.167 -1.136 28.178 -1.176 1990 8 NaN NaN NaN NaN NaN NaN 29.144 0.127 1990 9 NaN NaN NaN NaN NaN NaN 26.615 1.374 1990 10 NaN NaN NaN NaN NaN NaN 18.864 -0.358 1990 11 NaN NaN NaN NaN NaN NaN 15.418 2.779 1990 12 NaN NaN NaN NaN NaN NaN 6.705 -1.542 1991 1 NaN NaN NaN NaN NaN NaN 4.867 -1.399 1991 2 NaN NaN NaN NaN NaN NaN 11.087 2.248 1991 3 NaN NaN NaN NaN NaN NaN 14.496 1.408 1991 4 NaN NaN NaN NaN NaN NaN 19.501 1.281 1991 5 NaN NaN NaN NaN NaN NaN 23.443 0.939 1991 6 NaN NaN NaN NaN NaN NaN 27.216 0.276 1991 7 NaN NaN NaN NaN NaN NaN 29.205 -0.149