% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25942 % Primary Name: KAFFIE RANCH % Record Type: TAVG % Country: United States % State: TX % Latitude: 27.08330 +/- 0.00005 % Longitude: -98.58330 +/- 0.00005 % Elevation (m): 146.00 +/- 0.05 % # of Months: 34 % % Alternate Names: KAFFIE RCH % % IDs: coop - 414682 % ghcnd - USC00414682 % ncdc - 20024148 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: f5485fd6dd5490c852d219e10db08ba9 % Raw Data Hash: 380040cf9adbdf2582a739eed57d5880 % Adj Data Hash: 380040cf9adbdf2582a739eed57d5880 % % 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 1964 2 NaN NaN NaN NaN NaN NaN 13.527 -2.570 1964 3 NaN NaN NaN NaN NaN NaN 20.140 -0.155 1964 4 NaN NaN NaN NaN NaN NaN 26.010 1.742 1964 5 NaN NaN NaN NaN NaN NaN 27.681 0.745 1964 6 NaN NaN NaN NaN NaN NaN 28.869 -0.312 1964 7 NaN NaN NaN NaN NaN NaN 30.487 0.458 1964 8 NaN NaN NaN NaN NaN NaN 31.558 1.588 1964 9 NaN NaN NaN NaN NaN NaN 28.964 1.205 1964 10 NaN NaN NaN NaN NaN NaN 21.806 -1.604 1964 11 NaN NaN NaN NaN NaN NaN 20.730 2.242 1964 12 NaN NaN NaN NaN NaN NaN 14.545 -0.386 1965 1 NaN NaN NaN NaN NaN NaN 16.264 2.365 1965 2 13.056 -1.909 0 0 13.056 -1.909 14.404 -1.692 1965 3 15.611 -3.552 0 0 15.611 -3.552 17.745 -2.551 1965 4 24.667 1.531 0 0 24.667 1.531 25.771 1.503 1965 5 27.167 1.364 0 0 27.167 1.364 27.606 0.670 1965 6 29.278 1.229 0 0 29.278 1.229 29.931 0.750 1965 7 29.278 0.382 0 0 29.278 0.382 30.399 0.371 1965 8 29.000 0.163 0 0 29.000 0.163 29.709 -0.261 1965 9 27.444 0.818 0 0 27.444 0.818 28.782 1.023 1965 10 21.056 -1.223 0 0 21.056 -1.223 21.727 -1.683 1965 11 20.667 3.311 0 0 20.667 3.311 21.818 3.329 1965 12 14.833 1.035 0 0 14.833 1.035 16.956 2.026 1966 1 9.500 -3.266 0 0 9.500 -3.266 10.689 -3.210 1966 2 11.722 -3.242 0 0 11.722 -3.242 12.806 -3.291 1966 3 17.889 -1.274 0 0 17.889 -1.274 19.039 -1.256 1966 4 23.278 0.142 0 0 23.278 0.142 24.624 0.356 1966 5 24.500 -1.303 0 0 24.500 -1.303 25.221 -1.714 1966 6 26.556 -1.493 0 0 26.556 -1.493 27.815 -1.367 1966 7 28.444 -0.451 0 0 28.444 -0.451 29.691 -0.337 1966 8 29.278 0.441 0 0 29.278 0.441 30.619 0.649 1966 9 26.944 0.318 0 0 26.944 0.318 28.620 0.860 1966 10 21.556 -0.723 0 0 21.556 -0.723 22.710 -0.701 1966 11 18.667 1.311 0 0 18.667 1.311 19.719 1.231 1966 12 14.167 0.369 0 0 14.167 0.369 14.861 -0.070 1967 1 13.333 0.567 0 0 13.333 0.567 13.460 -0.439 1967 2 14.056 -0.909 0 0 14.056 -0.909 15.223 -0.874 1967 3 20.889 1.726 0 0 20.889 1.726 22.367 2.072 1967 4 27.111 3.975 0 0 27.111 3.975 27.752 3.484 1967 5 26.444 0.641 0 0 26.444 0.641 27.477 0.541 1967 6 28.667 0.618 0 0 28.667 0.618 29.820 0.639 1967 7 29.944 1.049 0 0 29.944 1.049 30.557 0.529 1967 8 27.611 -1.226 0 0 27.611 -1.226 28.692 -1.277 1967 9 23.944 -2.682 0 0 23.944 -2.682 25.591 -2.168 1967 10 20.611 -1.667 0 0 20.611 -1.667 21.913 -1.498 1967 11 17.389 0.033 0 0 17.389 0.033 18.947 0.458 1967 12 NaN NaN NaN NaN NaN NaN 14.074 -0.857 1968 1 NaN NaN NaN NaN NaN NaN 12.144 -1.755 1968 2 NaN NaN NaN NaN NaN NaN 12.838 -3.259 1968 3 NaN NaN NaN NaN NaN NaN 17.135 -3.160 1968 4 NaN NaN NaN NaN NaN NaN 23.761 -0.507 1968 5 NaN NaN NaN NaN NaN NaN 26.833 -0.102 1968 6 NaN NaN NaN NaN NaN NaN 28.706 -0.475 1968 7 NaN NaN NaN NaN NaN NaN 28.846 -1.182 1968 8 NaN NaN NaN NaN NaN NaN 29.764 -0.206 1968 9 NaN NaN NaN NaN NaN NaN 27.209 -0.551 1968 10 NaN NaN NaN NaN NaN NaN 24.523 1.112 1968 11 NaN NaN NaN NaN NaN NaN 17.939 -0.549