% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32413 % Primary Name: SAN LUIS LAKES 3W % Record Type: TAVG % Country: United States % State: CO % Latitude: 37.65000 +/- 0.00500 % Longitude: -105.80000 +/- 0.00500 % Elevation (m): 2297.00 +/- 0.05 % # of Months: 110 % % IDs: coop - 57433 % ghcnd - USC00057433 % ncdc - 20003431 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: e5c3f0a07ad8d40ec5df3bf10991b3f3 % Raw Data Hash: 4469b5918c85cc1d3892f6798c05d37f % Adj Data Hash: 473affcbd8f0a35921a27d9c6b47f180 % % 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 1945 5 NaN NaN NaN NaN NaN NaN 9.581 0.177 1945 6 NaN NaN NaN NaN NaN NaN 12.225 -2.143 1945 7 NaN NaN NaN NaN NaN NaN 16.820 -0.337 1945 8 NaN NaN NaN NaN NaN NaN 16.588 0.667 1945 9 NaN NaN NaN NaN NaN NaN 11.959 -0.249 1945 10 NaN NaN NaN NaN NaN NaN 8.061 1.360 1945 11 NaN NaN NaN NaN NaN NaN 0.601 0.907 1945 12 NaN NaN NaN NaN NaN NaN -5.657 -0.671 1946 1 NaN NaN NaN NaN NaN NaN -5.734 0.503 1946 2 NaN NaN NaN NaN NaN NaN -2.977 0.994 1946 3 NaN NaN NaN NaN NaN NaN 1.047 1.621 1946 4 NaN NaN NaN NaN NaN NaN 7.454 3.281 1946 5 8.889 -0.663 1 0 NaN NaN 7.514 -1.890 1946 6 15.778 1.262 0 0 15.778 1.262 15.350 0.982 1946 7 18.389 1.084 0 0 18.389 1.084 17.462 0.304 1946 8 17.000 0.932 0 0 17.000 0.932 15.890 -0.031 1946 9 13.444 1.089 0 0 13.444 1.089 12.945 0.737 1946 10 5.667 -1.183 0 0 5.667 -1.183 6.169 -0.533 1946 11 -1.111 -0.952 0 0 -1.111 -0.952 -1.726 -1.420 1946 12 -2.111 2.727 0 0 -2.111 2.727 -1.360 3.626 1947 1 -7.000 -0.911 0 0 -7.000 -0.911 -5.749 0.488 1947 2 -3.111 0.712 0 0 -3.111 0.712 -2.844 1.127 1947 3 -0.111 0.315 0 0 -0.111 0.315 -1.165 -0.591 1947 4 3.111 -1.210 0 0 3.111 -1.210 3.455 -0.718 1947 5 10.833 1.281 0 0 10.833 1.281 9.662 0.257 1947 6 13.778 -0.738 0 0 13.778 -0.738 12.799 -1.569 1947 7 17.889 0.584 0 0 17.889 0.584 17.115 -0.042 1947 8 17.556 1.487 0 0 17.556 1.487 16.240 0.319 1947 9 13.889 1.533 0 0 13.889 1.533 13.411 1.202 1947 10 8.444 1.595 0 0 8.444 1.595 8.685 1.984 1947 11 -2.944 -2.786 0 0 -2.944 -2.786 -2.604 -2.297 1947 12 -8.333 -3.495 0 0 -8.333 -3.495 -5.291 -0.305 1948 1 -9.444 -3.355 0 0 -9.444 -3.355 -6.773 -0.537 1948 2 -6.944 -3.121 0 0 -6.944 -3.121 -6.189 -2.217 1948 3 -2.556 -2.129 0 0 -2.556 -2.129 -4.880 -4.306 1948 4 6.611 2.290 0 0 6.611 2.290 5.611 1.437 1948 5 10.667 1.115 0 0 10.667 1.115 9.583 0.179 1948 6 14.000 -0.515 0 0 14.000 -0.515 13.476 -0.892 1948 7 17.111 -0.194 0 0 17.111 -0.194 16.800 -0.357 1948 8 16.611 0.543 0 0 16.611 0.543 15.859 -0.062 1948 9 14.333 1.978 0 0 14.333 1.978 13.580 1.372 1948 10 6.278 -0.571 0 0 6.278 -0.571 6.879 0.177 1948 11 -2.389 -2.230 0 0 -2.389 -2.230 -2.480 -2.174 1948 12 -4.222 0.616 0 0 -4.222 0.616 -4.079 0.907 1949 1 -9.278 -3.189 0 0 -9.278 -3.189 -9.298 -3.061 1949 2 -6.167 -2.343 0 0 -6.167 -2.343 -5.830 -1.858 1949 3 1.167 1.593 0 0 1.167 1.593 -0.396 0.178 1949 4 5.444 1.123 0 0 5.444 1.123 4.455 0.282 1949 5 10.389 0.837 0 0 10.389 0.837 9.075 -0.330 1949 6 14.167 -0.349 0 0 14.167 -0.349 13.069 -1.299 1949 7 18.000 0.695 0 0 18.000 0.695 16.872 -0.285 1949 8 16.278 0.209 0 0 16.278 0.209 15.340 -0.581 1949 9 13.444 1.089 0 0 13.444 1.089 12.541 0.332 1949 10 5.722 -1.127 0 0 5.722 -1.127 5.849 -0.852 1949 11 2.000 2.159 0 0 2.000 2.159 3.630 3.936 1949 12 -6.167 -1.328 0 0 -6.167 -1.328 -4.725 0.260 1950 1 -5.667 0.422 0 0 -5.667 0.422 -4.663 1.573 1950 2 -2.667 1.157 0 0 -2.667 1.157 -1.274 2.698 1950 3 -0.222 0.204 0 0 -0.222 0.204 -0.930 -0.356 1950 4 6.222 1.901 0 0 6.222 1.901 5.269 1.096 1950 5 9.167 -0.385 0 0 9.167 -0.385 8.215 -1.189 1950 6 15.056 0.540 0 0 15.056 0.540 14.341 -0.027 1950 7 16.500 -0.805 0 0 16.500 -0.805 15.514 -1.643 1950 8 14.889 -1.180 0 0 14.889 -1.180 14.270 -1.651 1950 9 12.278 -0.078 0 0 12.278 -0.078 11.368 -0.840 1950 10 10.278 3.429 0 0 10.278 3.429 10.583 3.881 1950 11 0.278 0.437 0 0 0.278 0.437 1.287 1.593 1950 12 -3.500 1.338 0 0 -3.500 1.338 -1.732 3.254 1951 1 -5.056 1.033 0 0 -5.056 1.033 -5.312 0.925 1951 2 -4.278 -0.454 0 0 -4.278 -0.454 -3.124 0.847 1951 3 -0.722 -0.296 0 0 -0.722 -0.296 -1.601 -1.027 1951 4 4.889 0.568 0 0 4.889 0.568 3.329 -0.845 1951 5 10.056 0.504 0 0 10.056 0.504 9.330 -0.074 1951 6 13.222 -1.293 0 0 13.222 -1.293 12.521 -1.847 1951 7 19.222 1.917 0 0 19.222 1.917 18.358 1.201 1951 8 17.278 1.209 0 0 17.278 1.209 16.166 0.245 1951 9 12.667 0.311 0 0 12.667 0.311 12.215 0.007 1951 10 6.778 -0.071 0 0 6.778 -0.071 6.545 -0.156 1951 11 -2.556 -2.397 0 0 -2.556 -2.397 -2.001 -1.694 1951 12 -6.000 -1.162 0 0 -6.000 -1.162 -5.240 -0.254 1952 1 -8.516 -2.427 0 0 -8.516 -2.427 -5.084 1.153 1952 2 -5.278 -1.454 0 0 -5.278 -1.454 -4.899 -0.928 1952 3 -2.500 -2.073 0 0 -2.500 -2.073 -3.514 -2.940 1952 4 5.444 1.123 0 0 5.444 1.123 4.492 0.318 1952 5 10.333 0.781 0 0 10.333 0.781 9.319 -0.086 1952 6 16.500 1.985 0 0 16.500 1.985 15.944 1.576 1952 7 17.889 0.584 0 0 17.889 0.584 17.025 -0.133 1952 8 17.111 1.043 0 0 17.111 1.043 16.198 0.277 1952 9 13.278 0.922 0 0 13.278 0.922 12.779 0.571 1952 10 7.444 0.595 0 0 7.444 0.595 8.004 1.302 1952 11 -2.833 -2.675 0 0 -2.833 -2.675 -3.083 -2.777 1952 12 -10.500 -5.662 0 0 -10.500 -5.662 -6.829 -1.843 1953 1 -3.611 2.478 0 0 -3.611 2.478 -1.840 4.397 1953 2 -4.556 -0.732 0 0 -4.556 -0.732 -4.331 -0.360 1953 3 1.500 1.927 0 0 1.500 1.927 0.670 1.245 1953 4 4.556 0.234 0 0 4.556 0.234 3.040 -1.134 1953 5 7.778 -1.774 0 0 7.778 -1.774 7.146 -2.259 1953 6 15.944 1.429 0 0 15.944 1.429 15.504 1.137 1953 7 18.167 0.862 0 0 18.167 0.862 17.692 0.535 1953 8 16.222 0.154 0 0 16.222 0.154 15.402 -0.519 1953 9 12.889 0.533 0 0 12.889 0.533 12.945 0.737 1953 10 7.056 0.206 0 0 7.056 0.206 7.439 0.737 1953 11 -0.278 -0.119 0 0 -0.278 -0.119 0.680 0.986 1953 12 -7.778 -2.939 0 0 -7.778 -2.939 -5.955 -0.969 1954 1 -5.111 0.978 0 0 -5.111 0.978 -3.427 2.810 1954 2 0.056 3.879 0 0 0.056 3.879 0.876 4.848 1954 3 -0.389 0.038 0 0 -0.389 0.038 -1.461 -0.887 1954 4 7.889 3.568 0 0 7.889 3.568 7.072 2.898 1954 5 11.389 1.837 0 0 11.389 1.837 9.817 0.412 1954 6 16.111 1.596 0 0 16.111 1.596 15.119 0.751 1954 7 19.389 2.084 0 0 19.389 2.084 18.318 1.161 1954 8 17.167 1.098 0 0 17.167 1.098 15.972 0.052 1954 9 14.611 2.255 0 0 14.611 2.255 13.634 1.426 1954 10 9.278 2.429 0 0 9.278 2.429 8.622 1.920 1954 11 1.500 1.659 0 0 1.500 1.659 2.322 2.628 1954 12 -5.889 -1.051 0 0 -5.889 -1.051 -3.726 1.260 1955 1 -7.333 -1.244 0 0 -7.333 -1.244 -6.211 0.026 1955 2 -8.056 -4.232 0 0 -8.056 -4.232 -7.010 -3.038 1955 3 -0.944 -0.518 0 0 -0.944 -0.518 -0.965 -0.391 1955 4 4.778 0.457 0 0 4.778 0.457 3.861 -0.313 1955 5 10.500 0.948 0 0 10.500 0.948 8.874 -0.530 1955 6 13.833 -0.682 0 0 13.833 -0.682 12.897 -1.471 1955 7 NaN NaN NaN NaN NaN NaN 17.252 0.095 1955 8 NaN NaN NaN NaN NaN NaN 16.559 0.638 1955 9 NaN NaN NaN NaN NaN NaN 12.889 0.680 1955 10 NaN NaN NaN NaN NaN NaN 8.038 1.337 1955 11 NaN NaN NaN NaN NaN NaN -0.303 0.003 1955 12 NaN NaN NaN NaN NaN NaN -2.104 2.882 1956 1 NaN NaN NaN NaN NaN NaN -3.034 3.202 1956 2 NaN NaN NaN NaN NaN NaN -6.429 -2.458 1956 3 NaN NaN NaN NaN NaN NaN -0.374 0.200 1956 4 NaN NaN NaN NaN NaN NaN 3.545 -0.628 1956 5 NaN NaN NaN NaN NaN NaN 11.037 1.633 1956 6 NaN NaN NaN NaN NaN NaN 16.153 1.785