% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35250 % Primary Name: SPANISH FORK 1 S % Record Type: TAVG % Country: United States % State: UT % Latitude: 40.10000 +/- 0.00005 % Longitude: -111.66670 +/- 0.00005 % Elevation (m): 1409.10 +/- 0.05 % # of Months: 111 % % IDs: coop - 428114 % ghcnd - USC00428114 % ncdc - 20026312 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 979d11a17a1adde4f0bb35c937aa25d3 % Raw Data Hash: a9cbfb090148de5644b03b616f00373d % Adj Data Hash: 25afc9a4dba32ae37fe207e702ab0e64 % % 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 1949 6 NaN NaN NaN NaN NaN NaN 16.727 -1.501 1949 7 NaN NaN NaN NaN NaN NaN 22.680 -0.290 1949 8 NaN NaN NaN NaN NaN NaN 21.304 -0.311 1949 9 NaN NaN NaN NaN NaN NaN 17.782 1.212 1949 10 NaN NaN NaN NaN NaN NaN 8.453 -1.516 1949 11 NaN NaN NaN NaN NaN NaN 6.006 3.401 1949 12 NaN NaN NaN NaN NaN NaN -3.439 -1.029 1950 1 NaN NaN NaN NaN NaN NaN -4.324 -1.068 1950 2 NaN NaN NaN NaN NaN NaN 1.026 1.243 1950 3 NaN NaN NaN NaN NaN NaN 3.094 -0.072 1950 4 NaN NaN NaN NaN NaN NaN 8.019 0.526 1950 5 NaN NaN NaN NaN NaN NaN 11.261 -1.699 1950 6 22.563 2.933 1 0 NaN NaN 17.041 -1.187 1950 7 23.000 -1.372 0 0 23.000 -1.372 22.024 -0.947 1950 8 22.611 -0.406 0 0 22.611 -0.406 20.937 -0.678 1950 9 17.722 -0.249 0 0 17.722 -0.249 16.260 -0.310 1950 10 14.333 2.963 0 0 14.333 2.963 13.691 3.722 1950 11 6.111 2.104 0 0 6.111 2.104 4.895 2.290 1950 12 2.000 3.009 0 0 2.000 3.009 0.430 2.841 1951 1 -2.278 -0.423 0 0 -2.278 -0.423 -2.552 0.704 1951 2 2.000 0.816 0 0 2.000 0.816 1.051 1.269 1951 3 3.278 -1.289 0 0 3.278 -1.289 1.656 -1.509 1951 4 10.222 1.327 0 0 10.222 1.327 8.270 0.776 1951 5 14.222 -0.140 0 0 14.222 -0.140 12.923 -0.037 1951 6 17.556 -2.074 0 0 17.556 -2.074 16.247 -1.981 1951 7 24.000 -0.372 0 0 24.000 -0.372 23.463 0.492 1951 8 22.389 -0.628 0 0 22.389 -0.628 21.083 -0.533 1951 9 17.833 -0.138 0 0 17.833 -0.138 17.149 0.579 1951 10 9.833 -1.537 0 0 9.833 -1.537 9.753 -0.216 1951 11 2.389 -1.618 0 0 2.389 -1.618 1.149 -1.456 1951 12 -3.444 -2.435 0 0 -3.444 -2.435 -4.589 -2.179 1952 1 -4.167 -2.312 0 0 -4.167 -2.312 -4.098 -0.842 1952 2 -2.500 -3.684 0 0 -2.500 -3.684 -2.208 -1.991 1952 3 0.778 -3.789 0 0 0.778 -3.789 -0.823 -3.988 1952 4 10.278 1.383 0 0 10.278 1.383 7.808 0.314 1952 5 15.722 1.360 0 0 15.722 1.360 14.046 1.086 1952 6 20.111 0.482 0 0 20.111 0.482 17.508 -0.720 1952 7 23.278 -1.094 0 0 23.278 -1.094 22.482 -0.489 1952 8 23.556 0.539 0 0 23.556 0.539 22.637 1.022 1952 9 19.667 1.695 0 0 19.667 1.695 18.067 1.497 1952 10 13.889 2.518 0 0 13.889 2.518 13.297 3.328 1952 11 1.778 -2.229 0 0 1.778 -2.229 0.171 -2.434 1952 12 0.000 1.009 0 0 0.000 1.009 -1.881 0.530 1953 1 4.056 5.910 0 0 4.056 5.910 2.491 5.747 1953 2 NaN NaN NaN NaN NaN NaN 0.028 0.246 1953 3 10.333 5.766 0 0 10.333 5.766 4.002 0.837 1953 4 NaN NaN NaN NaN NaN NaN 6.243 -1.251 1953 5 11.556 -2.806 0 0 11.556 -2.806 9.649 -3.312 1953 6 20.556 0.926 0 0 20.556 0.926 17.696 -0.532 1953 7 25.556 1.183 0 0 25.556 1.183 23.913 0.942 1953 8 24.000 0.983 0 0 24.000 0.983 21.250 -0.365 1953 9 NaN NaN NaN NaN NaN NaN 18.292 1.722 1953 10 NaN NaN NaN NaN NaN NaN 10.812 0.843 1953 11 7.111 3.104 0 0 7.111 3.104 5.356 2.751 1953 12 -3.222 -2.213 0 0 -3.222 -2.213 -3.927 -1.516 1954 1 0.444 2.299 0 0 0.444 2.299 -0.823 2.433 1954 2 2.056 0.871 0 0 2.056 0.871 1.715 1.932 1954 3 4.167 -0.400 0 0 4.167 -0.400 1.885 -1.281 1954 4 12.056 3.160 0 0 12.056 3.160 9.900 2.406 1954 5 16.944 2.583 0 0 16.944 2.583 14.972 2.011 1954 6 18.556 -1.074 0 0 18.556 -1.074 16.920 -1.308 1954 7 25.056 0.683 0 0 25.056 0.683 24.250 1.279 1954 8 22.167 -0.850 0 0 22.167 -0.850 20.865 -0.751 1954 9 17.778 -0.194 0 0 17.778 -0.194 17.253 0.683 1954 10 11.778 0.407 0 0 11.778 0.407 11.332 1.363 1954 11 5.278 1.271 0 0 5.278 1.271 5.062 2.457 1954 12 -1.167 -0.158 0 0 -1.167 -0.158 -2.195 0.216 1955 1 -7.056 -5.201 0 0 -7.056 -5.201 -6.387 -3.131 1955 2 -4.778 -5.962 0 0 -4.778 -5.962 -6.065 -5.848 1955 3 2.389 -2.178 0 0 2.389 -2.178 1.039 -2.127 1955 4 8.722 -0.173 0 0 8.722 -0.173 6.078 -1.416 1955 5 15.278 0.916 0 0 15.278 0.916 12.435 -0.525 1955 6 18.944 -0.685 0 0 18.944 -0.685 16.775 -1.453 1955 7 23.944 -0.428 0 0 23.944 -0.428 22.624 -0.347 1955 8 24.000 0.983 0 0 24.000 0.983 22.186 0.570 1955 9 17.944 -0.027 0 0 17.944 -0.027 17.225 0.655 1955 10 11.722 0.351 0 0 11.722 0.351 11.407 1.438 1955 11 1.444 -2.562 0 0 1.444 -2.562 1.683 -0.923 1955 12 2.333 3.342 0 0 2.333 3.342 0.858 3.269 1956 1 2.667 4.521 0 0 2.667 4.521 1.814 5.070 1956 2 -3.889 -5.073 0 0 -3.889 -5.073 -3.748 -3.530 1956 3 5.056 0.488 0 0 5.056 0.488 3.711 0.545 1956 4 9.500 0.605 0 0 9.500 0.605 7.752 0.259 1956 5 15.778 1.416 0 0 15.778 1.416 14.276 1.316 1956 6 21.833 2.204 0 0 21.833 2.204 19.432 1.204 1956 7 24.333 -0.039 0 0 24.333 -0.039 22.753 -0.218 1956 8 21.778 -1.239 0 0 21.778 -1.239 20.355 -1.261 1956 9 19.000 1.028 0 0 19.000 1.028 18.085 1.514 1956 10 12.222 0.851 0 0 12.222 0.851 10.754 0.785 1956 11 1.778 -2.229 0 0 1.778 -2.229 -0.021 -2.626 1956 12 -0.833 0.176 0 0 -0.833 0.176 -2.249 0.161 1957 1 -2.111 -0.257 0 0 -2.111 -0.257 -3.893 -0.637 1957 2 3.833 2.649 0 0 3.833 2.649 2.663 2.881 1957 3 6.611 2.044 0 0 6.611 2.044 3.975 0.810 1957 4 9.167 0.271 0 0 9.167 0.271 6.844 -0.650 1957 5 13.556 -0.806 0 0 13.556 -0.806 11.451 -1.510 1957 6 19.056 -0.574 0 0 19.056 -0.574 17.596 -0.632 1957 7 23.889 -0.483 0 0 23.889 -0.483 22.752 -0.218 1957 8 23.556 0.539 0 0 23.556 0.539 22.025 0.410 1957 9 16.833 -1.138 0 0 16.833 -1.138 16.241 -0.329 1957 10 10.500 -0.871 0 0 10.500 -0.871 10.039 0.070 1957 11 -0.111 -4.118 0 0 -0.111 -4.118 -0.143 -2.748 1957 12 -0.222 0.787 0 0 -0.222 0.787 0.003 2.413 1958 1 -2.333 -0.479 0 0 -2.333 -0.479 -2.237 1.019 1958 2 5.278 4.094 0 0 5.278 4.094 3.681 3.898 1958 3 4.778 0.211 0 0 4.778 0.211 1.325 -1.841 1958 4 8.111 -0.784 0 0 8.111 -0.784 5.754 -1.740 1958 5 17.500 3.138 0 0 17.500 3.138 15.652 2.692 1958 6 21.222 1.593 0 0 21.222 1.593 19.100 0.872 1958 7 24.056 -0.317 0 0 24.056 -0.317 22.453 -0.518 1958 8 25.333 2.316 0 0 25.333 2.316 22.965 1.350 1958 9 18.333 0.362 0 0 18.333 0.362 17.118 0.548 1958 10 13.111 1.740 0 0 13.111 1.740 11.671 1.702 1958 11 3.778 -0.229 0 0 3.778 -0.229 2.469 -0.136 1958 12 2.333 3.342 0 0 2.333 3.342 1.170 3.580 1959 1 1.556 3.410 0 0 1.556 3.410 -0.326 2.930 1959 2 2.278 1.094 0 0 2.278 1.094 0.596 0.813 1959 3 6.500 1.933 0 0 6.500 1.933 2.967 -0.198 1959 4 12.111 3.216 0 0 12.111 3.216 8.577 1.083 1959 5 14.056 -0.306 0 0 14.056 -0.306 11.832 -1.128 1959 6 22.722 3.093 0 0 22.722 3.093 19.963 1.735 1959 7 24.389 0.017 0 0 24.389 0.017 24.082 1.112 1959 8 21.944 -1.073 0 0 21.944 -1.073 21.659 0.043 1959 9 15.167 -2.805 0 0 15.167 -2.805 15.314 -1.256 1959 10 9.944 -1.426 0 0 9.944 -1.426 10.441 0.472 1959 11 4.444 0.438 0 0 4.444 0.438 2.737 0.131 1959 12 -0.833 0.176 0 0 -0.833 0.176 -2.209 0.202 1960 1 NaN NaN NaN NaN NaN NaN -4.578 -1.322 1960 2 NaN NaN NaN NaN NaN NaN -2.410 -2.193 1960 3 NaN NaN NaN NaN NaN NaN 4.214 1.049 1960 4 NaN NaN NaN NaN NaN NaN 8.411 0.917 1960 5 NaN NaN NaN NaN NaN NaN 13.216 0.255 1960 6 NaN NaN NaN NaN NaN NaN 19.383 1.155 1960 7 NaN NaN NaN NaN NaN NaN 24.334 1.363 1960 8 NaN NaN NaN NaN NaN NaN 21.470 -0.146 1960 9 NaN NaN NaN NaN NaN NaN 18.385 1.815 1960 10 NaN NaN NaN NaN NaN NaN 10.327 0.358 1960 11 NaN NaN NaN NaN NaN NaN 3.818 1.212 1960 12 NaN NaN NaN NaN NaN NaN -2.149 0.262