% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 5897 % Primary Name: GOYAZ % Record Type: TAVG % Country: Brazil % Latitude: -15.92000 +/- 0.00500 % Longitude: -50.12000 +/- 0.00500 % Elevation (m): 520.00 +/- 0.50 % # of Months: 104 % % IDs: ca - 303000000010 % % Sources: Colonial Archive % % Site Hash: fe98c26715618e75b6acb58e21b6c304 % Raw Data Hash: 103df663da53a2ea22139d01f20efec7 % Adj Data Hash: 87d8c6df97e36a31ad50255c42af3420 % % 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 1923 4 NaN NaN NaN NaN NaN NaN 26.149 0.068 1923 5 NaN NaN NaN NaN NaN NaN 23.762 -1.501 1923 6 NaN NaN NaN NaN NaN NaN 24.118 -0.183 1923 7 NaN NaN NaN NaN NaN NaN 22.076 -2.027 1923 8 NaN NaN NaN NaN NaN NaN 25.865 -0.481 1923 9 NaN NaN NaN NaN NaN NaN 26.927 -0.968 1923 10 NaN NaN NaN NaN NaN NaN 26.250 -1.055 1923 11 NaN NaN NaN NaN NaN NaN 25.670 -0.772 1923 12 NaN NaN NaN NaN NaN NaN 26.743 0.823 1924 1 NaN NaN NaN NaN NaN NaN 25.624 -0.327 1924 2 NaN NaN NaN NaN NaN NaN 25.737 -0.346 1924 3 NaN NaN NaN NaN NaN NaN 26.693 0.257 1924 4 24.200 -0.152 0 0 24.813 0.462 26.203 0.122 1924 5 NaN NaN NaN NaN NaN NaN 24.719 -0.545 1924 6 21.400 -1.172 0 0 22.013 -0.559 24.516 0.215 1924 7 22.200 -0.174 0 0 22.813 0.440 23.983 -0.120 1924 8 21.100 -3.517 0 0 21.713 -2.904 24.091 -2.255 1924 9 25.000 -1.166 0 0 25.613 -0.552 27.733 -0.162 1924 10 24.650 -0.926 0 0 25.263 -0.313 26.584 -0.721 1924 11 23.650 -1.063 0 0 24.263 -0.450 26.118 -0.324 1924 12 22.450 -1.740 0 0 23.063 -1.127 25.226 -0.694 1925 1 23.000 -1.222 0 0 23.613 -0.608 25.396 -0.555 1925 2 22.350 -2.004 0 0 22.963 -1.390 25.352 -0.731 1925 3 23.700 -1.007 0 0 24.313 -0.394 25.927 -0.510 1925 4 24.600 0.248 0 0 25.213 0.862 26.911 0.831 1925 5 23.100 -0.434 0 0 23.713 0.179 25.236 -0.027 1925 6 21.100 -1.472 0 0 21.713 -0.859 23.630 -0.672 1925 7 21.400 -0.974 0 0 22.013 -0.360 23.391 -0.712 1925 8 22.500 -2.117 0 0 23.113 -1.504 26.227 -0.119 1925 9 22.700 -3.466 0 0 23.313 -2.852 26.473 -1.422 1925 10 24.450 -1.126 0 0 25.063 -0.513 26.326 -0.979 1925 11 23.550 -1.163 0 0 24.163 -0.550 25.770 -0.672 1925 12 24.350 0.160 0 0 24.963 0.773 26.156 0.237 1926 1 25.100 0.878 0 0 25.713 1.492 26.457 0.506 1926 2 25.700 1.346 0 0 26.313 1.960 27.021 0.938 1926 3 25.050 0.343 0 0 25.663 0.956 26.983 0.547 1926 4 24.300 -0.052 0 0 24.913 0.562 26.129 0.049 1926 5 24.600 1.066 0 0 25.213 1.679 25.563 0.299 1926 6 23.000 0.428 0 0 23.613 1.041 25.603 1.301 1926 7 20.550 -1.824 0 0 21.163 -1.210 22.853 -1.249 1926 8 22.950 -1.667 0 0 23.563 -1.054 26.058 -0.288 1926 9 NaN NaN NaN NaN NaN NaN 29.132 1.237 1926 10 26.350 0.774 0 0 26.963 1.387 28.043 0.738 1926 11 25.700 0.987 0 0 26.313 1.600 27.433 0.991 1926 12 24.600 0.410 0 0 25.213 1.023 26.216 0.297 1927 1 25.600 1.378 1 0 NaN NaN 25.905 -0.046 1927 2 NaN NaN NaN NaN NaN NaN 25.822 -0.261 1927 3 NaN NaN NaN NaN NaN NaN 26.723 0.287 1927 4 23.250 -1.102 0 0 23.863 -0.488 25.790 -0.291 1927 5 22.400 -1.134 0 0 23.013 -0.521 24.702 -0.562 1927 6 19.250 -3.322 0 0 19.863 -2.709 22.760 -1.541 1927 7 19.250 -3.124 0 0 19.863 -2.510 22.361 -1.742 1927 8 21.900 -2.717 0 0 22.513 -2.104 25.695 -0.651 1927 9 NaN NaN NaN NaN NaN NaN 27.609 -0.286 1927 10 24.350 -1.226 0 0 24.963 -0.613 27.253 -0.052 1927 11 23.900 -0.813 0 0 24.513 -0.200 26.857 0.415 1927 12 24.250 0.060 0 0 24.863 0.673 26.368 0.449 1928 1 23.000 -1.222 0 0 23.613 -0.608 25.759 -0.191 1928 2 25.000 0.646 0 0 25.613 1.260 26.793 0.710 1928 3 25.950 1.243 0 0 26.563 1.856 27.513 1.077 1928 4 24.100 -0.252 0 0 24.713 0.362 26.865 0.784 1928 5 25.000 1.466 0 0 25.613 2.079 26.342 1.079 1928 6 23.400 0.828 0 0 24.013 1.441 25.419 1.117 1928 7 21.850 -0.524 0 0 22.463 0.090 23.836 -0.267 1928 8 NaN NaN NaN NaN NaN NaN 24.834 -1.512 1928 9 NaN NaN NaN NaN NaN NaN 27.559 -0.336 1928 10 NaN NaN NaN NaN NaN NaN 27.229 -0.076 1928 11 NaN NaN NaN NaN NaN NaN 26.812 0.370 1928 12 NaN NaN NaN NaN NaN NaN 25.590 -0.329 1929 1 NaN NaN NaN NaN NaN NaN 26.143 0.192 1929 2 NaN NaN NaN NaN NaN NaN 25.704 -0.379 1929 3 NaN NaN NaN NaN NaN NaN 26.314 -0.122 1929 4 NaN NaN NaN NaN NaN NaN 25.501 -0.580 1929 5 NaN NaN NaN NaN NaN NaN 23.708 -1.555 1929 6 NaN NaN NaN NaN NaN NaN 24.080 -0.221 1929 7 NaN NaN NaN NaN NaN NaN 23.790 -0.313 1929 8 NaN NaN NaN NaN NaN NaN 26.419 0.073 1929 9 25.950 -0.216 0 2 25.455 -0.711 27.951 0.056 1929 10 26.250 0.674 0 0 25.755 0.179 27.597 0.292 1929 11 NaN NaN NaN NaN NaN NaN 26.669 0.227 1929 12 23.850 -0.340 0 0 23.355 -0.835 25.297 -0.622 1930 1 24.700 0.478 0 0 24.205 -0.017 25.962 0.011 1930 2 23.800 -0.554 0 0 23.305 -1.049 25.349 -0.734 1930 3 25.200 0.493 0 0 24.705 -0.002 26.672 0.236 1930 4 24.400 0.048 0 0 23.905 -0.447 25.748 -0.333 1930 5 24.200 0.666 0 0 23.705 0.171 25.519 0.256 1930 6 22.900 0.328 0 0 22.405 -0.167 24.940 0.639 1930 7 22.600 0.226 0 0 22.105 -0.269 23.826 -0.276 1930 8 23.950 -0.667 0 0 23.455 -1.162 26.395 0.049 1930 9 25.950 -0.216 0 0 25.455 -0.711 27.884 -0.011 1930 10 25.700 0.124 0 0 25.205 -0.371 27.069 -0.236 1930 11 24.300 -0.413 0 0 23.805 -0.908 25.670 -0.772 1930 12 24.250 0.060 0 0 23.755 -0.435 25.622 -0.297 1931 1 25.350 1.128 0 0 24.855 0.633 26.593 0.642 1931 2 24.500 0.146 0 0 24.005 -0.349 25.843 -0.240 1931 3 24.550 -0.157 0 0 24.055 -0.652 25.985 -0.452 1931 4 25.700 1.348 0 0 25.205 0.853 26.518 0.438 1931 5 24.550 1.016 0 0 24.055 0.521 24.880 -0.384 1931 6 22.200 -0.372 0 0 21.705 -0.867 23.540 -0.762 1931 7 22.050 -0.324 0 0 21.555 -0.819 23.376 -0.727 1931 8 23.400 -1.217 0 0 22.905 -1.712 25.440 -0.907 1931 9 26.350 0.184 0 0 25.855 -0.311 27.609 -0.286 1931 10 25.550 -0.026 0 0 25.055 -0.521 26.928 -0.377 1931 11 25.100 0.387 0 0 24.605 -0.108 26.244 -0.198 1931 12 25.050 0.860 0 0 24.555 0.365 26.112 0.193 1932 1 23.550 -0.672 0 0 23.055 -1.167 24.920 -1.031 1932 2 25.300 0.946 0 0 24.805 0.451 26.254 0.171 1932 3 25.450 0.743 0 0 24.955 0.248 26.485 0.048 1932 4 26.150 1.798 0 0 25.655 1.303 27.081 1.000 1932 5 25.600 2.066 0 0 25.105 1.571 25.910 0.647 1932 6 24.200 1.628 0 0 23.705 1.133 25.455 1.154 1932 7 24.000 1.626 0 0 23.505 1.131 24.912 0.809 1932 8 24.050 -0.567 0 0 23.555 -1.062 25.855 -0.492 1932 9 25.750 -0.416 0 0 25.255 -0.911 27.732 -0.163 1932 10 26.400 0.824 0 0 25.905 0.329 27.394 0.089 1932 11 26.250 1.537 0 0 25.755 1.042 26.879 0.437 1932 12 25.250 1.060 0 0 24.755 0.565 26.055 0.136 1933 1 24.800 0.578 0 0 24.305 0.083 25.825 -0.126 1933 2 25.750 1.396 0 0 25.255 0.901 26.354 0.271 1933 3 NaN NaN NaN NaN NaN NaN 26.285 -0.151 1933 4 NaN NaN NaN NaN NaN NaN 25.443 -0.638 1933 5 23.850 0.316 0 0 23.355 -0.179 25.068 -0.196 1933 6 21.950 -0.622 0 0 21.455 -1.117 23.135 -1.167 1933 7 22.450 0.076 0 0 21.955 -0.419 23.228 -0.875 1933 8 25.250 0.633 0 0 24.755 0.138 26.499 0.153 1933 9 26.550 0.384 0 0 26.055 -0.111 28.147 0.252 1933 10 25.700 0.124 0 0 25.205 -0.371 27.166 -0.139 1933 11 25.250 0.537 0 0 24.755 0.042 26.171 -0.271 1933 12 24.850 0.660 0 0 24.355 0.165 25.881 -0.038 1934 1 25.300 1.078 0 0 24.805 0.583 25.921 -0.030 1934 2 25.600 1.246 0 0 25.105 0.751 26.130 0.047 1934 3 26.150 1.443 0 0 25.655 0.948 26.810 0.374 1934 4 25.900 1.548 0 0 25.405 1.053 26.451 0.370 1934 5 23.650 0.116 0 0 23.155 -0.379 24.742 -0.521 1934 6 22.500 -0.072 0 0 22.005 -0.567 24.385 0.083 1934 7 22.500 0.126 0 0 22.005 -0.369 23.725 -0.378 1934 8 25.050 0.433 0 0 24.555 -0.062 26.597 0.251 1934 9 NaN NaN NaN NaN NaN NaN 27.524 -0.371 1934 10 NaN NaN NaN NaN NaN NaN 26.337 -0.968 1934 11 NaN NaN NaN NaN NaN NaN 26.358 -0.084 1934 12 NaN NaN NaN NaN NaN NaN 25.972 0.053 1935 1 NaN NaN NaN NaN NaN NaN 25.864 -0.087 1935 2 NaN NaN NaN NaN NaN NaN 25.857 -0.226 1935 3 NaN NaN NaN NaN NaN NaN 26.749 0.312 1935 4 NaN NaN NaN NaN NaN NaN 25.268 -0.813 1935 5 NaN NaN NaN NaN NaN NaN 24.427 -0.837 1935 6 NaN NaN NaN NaN NaN NaN 25.295 0.994 1935 7 NaN NaN NaN NaN NaN NaN 24.592 0.489 1935 8 NaN NaN NaN NaN NaN NaN 26.374 0.028