% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 5631 % Primary Name: ANZALDO % Record Type: TAVG % Country: Bolivia % Latitude: -17.72000 +/- 0.00500 % Longitude: -65.90000 +/- 0.00500 % Elevation (m): 3100.00 +/- 0.50 % # of Months: 102 % % IDs: ca - 302000000001 % % Sources: Colonial Archive % % Site Hash: e270ee89d423fc8a3456181be78cdd7a % Raw Data Hash: 397240b58da8dea6bc97372ac299936a % Adj Data Hash: 3a493d17cef99f045d1eea7ccc713e00 % % 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 1942 2 NaN NaN NaN NaN NaN NaN 13.176 0.084 1942 3 NaN NaN NaN NaN NaN NaN 12.914 -0.193 1942 4 NaN NaN NaN NaN NaN NaN 11.071 -1.056 1942 5 NaN NaN NaN NaN NaN NaN 9.787 -0.457 1942 6 NaN NaN NaN NaN NaN NaN 7.717 -0.735 1942 7 NaN NaN NaN NaN NaN NaN 7.682 -0.761 1942 8 NaN NaN NaN NaN NaN NaN 10.084 0.139 1942 9 NaN NaN NaN NaN NaN NaN 11.640 -0.167 1942 10 NaN NaN NaN NaN NaN NaN 12.609 -0.629 1942 11 NaN NaN NaN NaN NaN NaN 13.744 -0.348 1942 12 NaN NaN NaN NaN NaN NaN 13.312 -0.400 1943 1 NaN NaN NaN NaN NaN NaN 13.718 0.411 1943 2 16.000 -0.690 0 0 14.503 -2.187 12.824 -0.269 1943 3 NaN NaN NaN NaN NaN NaN 12.968 -0.139 1943 4 NaN NaN NaN NaN NaN NaN 10.836 -1.291 1943 5 15.100 1.259 0 0 13.603 -0.238 10.540 0.296 1943 6 13.100 1.051 0 0 11.603 -0.446 7.953 -0.499 1943 7 14.500 2.460 0 0 13.003 0.963 8.703 0.260 1943 8 16.600 3.059 0 0 15.103 1.562 9.386 -0.558 1943 9 17.800 2.396 0 0 16.303 0.899 11.276 -0.531 1943 10 19.850 3.015 0 0 18.353 1.518 13.276 0.038 1943 11 18.750 1.061 0 0 17.253 -0.436 13.643 -0.450 1943 12 18.200 0.891 0 0 16.703 -0.606 12.885 -0.828 1944 1 15.250 -1.654 0 0 13.753 -3.151 11.974 -1.333 1944 2 16.250 -0.440 0 0 14.753 -1.937 12.210 -0.883 1944 3 17.700 0.996 0 0 16.203 -0.501 12.532 -0.575 1944 4 15.750 0.026 0 0 14.253 -1.471 10.665 -1.463 1944 5 14.400 0.559 0 0 12.903 -0.938 9.895 -0.348 1944 6 NaN NaN NaN NaN NaN NaN 8.676 0.224 1944 7 NaN NaN NaN NaN NaN NaN 8.542 0.099 1944 8 NaN NaN NaN NaN NaN NaN 10.834 0.890 1944 9 NaN NaN NaN NaN NaN NaN 11.984 0.177 1944 10 NaN NaN NaN NaN NaN NaN 13.378 0.140 1944 11 NaN NaN NaN NaN NaN NaN 13.415 -0.677 1944 12 NaN NaN NaN NaN NaN NaN 13.203 -0.509 1945 1 14.400 -2.504 0 4 16.355 -0.549 13.220 -0.087 1945 2 14.850 -1.840 0 0 16.805 0.115 12.761 -0.332 1945 3 14.700 -2.004 0 0 16.655 -0.049 13.383 0.277 1945 4 13.450 -2.274 0 0 15.405 -0.319 12.064 -0.064 1945 5 10.550 -3.291 0 0 12.505 -1.336 9.602 -0.642 1945 6 9.600 -2.449 0 0 11.555 -0.494 7.799 -0.652 1945 7 10.550 -1.490 0 0 12.505 0.465 8.497 0.054 1945 8 13.000 -0.541 0 0 14.955 1.414 10.882 0.937 1945 9 14.050 -1.354 0 0 16.005 0.601 12.103 0.296 1945 10 13.850 -2.985 0 0 15.805 -1.030 12.131 -1.107 1945 11 15.300 -2.389 0 0 17.255 -0.434 14.071 -0.021 1945 12 14.950 -2.359 0 0 16.905 -0.404 13.230 -0.482 1946 1 15.750 -1.154 0 0 17.705 0.801 14.245 0.938 1946 2 16.250 -0.440 0 0 18.205 1.515 13.782 0.689 1946 3 15.200 -1.504 0 0 17.155 0.451 14.062 0.955 1946 4 15.350 -0.374 0 4 15.831 0.107 12.816 0.688 1946 5 13.500 -0.341 0 0 13.981 0.140 10.399 0.155 1946 6 11.900 -0.149 0 0 12.381 0.332 8.972 0.521 1946 7 10.950 -1.090 0 0 11.431 -0.609 7.655 -0.789 1946 8 13.300 -0.241 0 0 13.781 0.240 10.267 0.323 1946 9 15.800 0.396 0 0 16.281 0.877 12.167 0.360 1946 10 16.400 -0.435 0 0 16.881 0.046 13.315 0.077 1946 11 17.450 -0.239 0 0 17.931 0.242 14.334 0.242 1946 12 15.950 -1.359 0 0 16.431 -0.878 13.352 -0.360 1947 1 15.900 -1.004 0 0 16.381 -0.523 13.373 0.066 1947 2 16.200 -0.490 0 0 16.681 -0.009 12.657 -0.436 1947 3 16.850 0.146 0 0 17.331 0.627 12.949 -0.158 1947 4 14.400 -1.324 0 0 14.881 -0.843 11.845 -0.282 1947 5 12.400 -1.441 0 0 12.881 -0.960 10.166 -0.077 1947 6 11.100 -0.949 0 0 11.581 -0.468 8.175 -0.276 1947 7 11.850 -0.190 0 0 12.331 0.291 8.053 -0.390 1947 8 12.600 -0.941 0 0 13.081 -0.460 9.651 -0.294 1947 9 14.200 -1.204 0 0 14.681 -0.723 11.453 -0.354 1947 10 15.050 -1.785 0 0 15.531 -1.304 12.942 -0.296 1947 11 15.650 -2.039 0 0 16.131 -1.558 13.515 -0.577 1947 12 14.950 -2.359 0 0 15.431 -1.878 13.498 -0.214 1948 1 14.700 -2.204 0 0 15.181 -1.723 13.140 -0.167 1948 2 14.650 -2.040 0 0 15.131 -1.559 13.201 0.108 1948 3 15.450 -1.254 0 0 15.931 -0.773 12.294 -0.813 1948 4 15.550 -0.174 0 0 16.031 0.307 12.208 0.080 1948 5 13.700 -0.141 0 0 14.181 0.340 10.153 -0.091 1948 6 12.700 0.651 0 0 13.181 1.132 8.715 0.263 1948 7 11.600 -0.440 0 0 12.081 0.041 8.536 0.093 1948 8 14.200 0.659 0 0 14.681 1.140 10.405 0.461 1948 9 14.700 -0.704 0 0 15.181 -0.223 11.503 -0.304 1948 10 15.950 -0.885 0 0 16.431 -0.404 12.975 -0.263 1948 11 NaN NaN NaN NaN NaN NaN 13.381 -0.711 1948 12 NaN NaN NaN NaN NaN NaN 12.819 -0.893 1949 1 15.350 -1.554 0 0 15.831 -1.073 12.560 -0.747 1949 2 15.400 -1.290 0 0 15.881 -0.809 12.584 -0.508 1949 3 17.100 0.396 0 0 17.581 0.877 13.115 0.008 1949 4 17.150 1.426 0 0 17.631 1.907 11.823 -0.304 1949 5 12.600 -1.241 0 0 13.081 -0.760 9.859 -0.385 1949 6 12.200 0.151 0 0 12.681 0.632 8.941 0.490 1949 7 11.550 -0.490 0 0 12.031 -0.009 9.214 0.771 1949 8 13.550 0.009 0 0 14.031 0.490 9.488 -0.456 1949 9 15.350 -0.054 0 0 15.831 0.427 11.546 -0.261 1949 10 16.400 -0.435 0 0 16.881 0.046 11.901 -1.337 1949 11 16.500 -1.189 0 0 16.981 -0.708 13.677 -0.415 1949 12 16.100 -1.209 0 0 16.581 -0.728 13.046 -0.666 1950 1 15.850 -1.054 0 4 14.882 -2.022 12.139 -1.168 1950 2 16.250 -0.440 0 0 15.282 -1.408 12.794 -0.299 1950 3 15.700 -1.004 0 0 14.732 -1.972 12.102 -1.005 1950 4 16.450 0.726 0 0 15.482 -0.243 11.905 -0.222 1950 5 14.150 0.309 0 0 13.182 -0.659 10.098 -0.146 1950 6 12.400 0.351 0 0 11.432 -0.617 7.741 -0.711 1950 7 14.550 2.510 0 0 13.582 1.541 8.631 0.188 1950 8 15.350 1.809 0 0 14.382 0.840 9.881 -0.063 1950 9 16.300 0.896 0 0 15.332 -0.073 11.668 -0.140 1950 10 16.200 -0.635 0 0 15.232 -1.604 11.704 -1.534 1950 11 16.600 -1.089 0 0 15.632 -2.058 13.562 -0.530 1950 12 20.650 3.341 0 0 19.682 2.372 14.051 0.339 1951 1 16.400 -0.504 0 0 15.432 -1.472 12.915 -0.392 1951 2 16.500 -0.190 0 0 15.532 -1.158 12.281 -0.812 1951 3 16.350 -0.354 0 0 15.382 -1.322 12.747 -0.360 1951 4 16.100 0.376 0 0 15.132 -0.593 11.111 -1.016 1951 5 14.250 0.409 0 0 13.282 -0.559 9.739 -0.505 1951 6 13.900 1.851 0 0 12.932 0.883 8.056 -0.396 1951 7 15.300 3.260 0 0 14.332 2.291 8.926 0.483 1951 8 15.200 1.659 0 0 14.232 0.690 8.471 -1.474 1951 9 15.650 0.246 0 0 14.682 -0.723 11.193 -0.614 1951 10 16.000 -0.835 0 0 15.032 -1.804 13.006 -0.232 1951 11 NaN NaN NaN NaN NaN NaN 13.777 -0.315 1951 12 16.850 -0.459 0 0 15.882 -1.428 13.375 -0.337 1952 1 16.250 -0.654 0 0 15.282 -1.622 13.170 -0.136 1952 2 16.500 -0.190 0 0 15.532 -1.158 12.545 -0.548 1952 3 16.950 0.246 0 0 15.982 -0.722 13.277 0.170 1952 4 NaN NaN NaN NaN NaN NaN 11.733 -0.394 1952 5 NaN NaN NaN NaN NaN NaN 10.486 0.242 1952 6 15.100 3.051 0 0 14.132 2.083 7.604 -0.848 1952 7 15.100 3.060 0 0 14.132 2.091 8.435 -0.008 1952 8 15.100 1.559 0 0 14.132 0.590 10.497 0.553 1952 9 NaN NaN NaN NaN NaN NaN 11.337 -0.470 1952 10 NaN NaN NaN NaN NaN NaN 12.668 -0.570 1952 11 NaN NaN NaN NaN NaN NaN 13.502 -0.590 1952 12 17.650 0.341 0 0 16.682 -0.628 12.931 -0.782 1953 1 NaN NaN NaN NaN NaN NaN 13.411 0.104 1953 2 NaN NaN NaN NaN NaN NaN 12.895 -0.198 1953 3 NaN NaN NaN NaN NaN NaN 12.815 -0.292 1953 4 NaN NaN NaN NaN NaN NaN 11.883 -0.244 1953 5 NaN NaN NaN NaN NaN NaN 9.917 -0.326 1953 6 NaN NaN NaN NaN NaN NaN 8.769 0.317 1953 7 NaN NaN NaN NaN NaN NaN 8.050 -0.393 1953 8 NaN NaN NaN NaN NaN NaN 10.861 0.916 1953 9 NaN NaN NaN NaN NaN NaN 13.048 1.241 1953 10 NaN NaN NaN NaN NaN NaN 14.130 0.892 1953 11 NaN NaN NaN NaN NaN NaN 14.260 0.168 1953 12 NaN NaN NaN NaN NaN NaN 13.622 -0.090