% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 13475 % Primary Name: TRUK % Record Type: TAVG % Country: Federated States of Micronesia % Latitude: 7.38000 +/- 0.00500 % Longitude: 151.90000 +/- 0.00500 % Elevation (m): 32.00 +/- 0.50 % # of Months: 111 % % IDs: ca - 157 % % Sources: Colonial Archive % % Site Hash: dfcb631d44b4ef2c1d3079c25c5a7833 % Raw Data Hash: a3c7217dcf327dec14d2f27f708427ad % Adj Data Hash: 56c4ff25fa51ea53788f1b9d4af1d28f % % 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 1925 1 NaN NaN NaN NaN NaN NaN 26.902 -0.353 1925 2 NaN NaN NaN NaN NaN NaN 27.255 -0.050 1925 3 NaN NaN NaN NaN NaN NaN 27.444 -0.002 1925 4 NaN NaN NaN NaN NaN NaN 27.113 -0.227 1925 5 NaN NaN NaN NaN NaN NaN 27.427 -0.152 1925 6 NaN NaN NaN NaN NaN NaN 27.229 -0.339 1925 7 NaN NaN NaN NaN NaN NaN 26.559 -0.788 1925 8 NaN NaN NaN NaN NaN NaN 26.869 -0.534 1925 9 NaN NaN NaN NaN NaN NaN 27.193 -0.276 1925 10 NaN NaN NaN NaN NaN NaN 27.050 -0.285 1925 11 NaN NaN NaN NaN NaN NaN 27.680 0.158 1925 12 NaN NaN NaN NaN NaN NaN 27.596 0.220 1926 1 26.650 -0.474 0 0 26.501 -0.624 26.770 -0.486 1926 2 27.000 -0.173 0 0 26.656 -0.517 27.019 -0.286 1926 3 27.050 -0.265 0 0 26.672 -0.643 27.198 -0.248 1926 4 26.800 -0.409 0 0 26.508 -0.701 26.732 -0.608 1926 5 27.350 -0.098 0 0 27.078 -0.370 27.258 -0.322 1926 6 27.600 0.164 0 0 27.358 -0.079 27.604 0.036 1926 7 27.600 0.384 0 0 27.516 0.299 27.393 0.045 1926 8 27.750 0.479 0 0 27.762 0.490 27.626 0.224 1926 9 27.850 0.512 0 0 27.711 0.373 27.756 0.287 1926 10 27.850 0.646 0 0 27.539 0.334 27.629 0.294 1926 11 27.700 0.310 0 0 27.467 0.076 27.626 0.105 1926 12 27.550 0.306 0 0 27.472 0.228 27.473 0.098 1927 1 27.550 0.426 0 0 27.401 0.276 27.444 0.188 1927 2 27.300 0.127 0 0 26.956 -0.217 27.375 0.071 1927 3 27.000 -0.315 0 0 26.622 -0.693 27.331 -0.115 1927 4 26.650 -0.559 0 0 26.358 -0.851 26.678 -0.662 1927 5 27.350 -0.098 0 0 27.078 -0.370 27.399 -0.180 1927 6 27.300 -0.136 0 0 27.058 -0.379 27.355 -0.212 1927 7 27.550 0.334 0 0 27.466 0.249 27.407 0.059 1927 8 26.550 -0.721 0 0 26.562 -0.710 26.686 -0.716 1927 9 28.950 1.612 0 0 28.811 1.473 28.475 1.006 1927 10 28.300 1.096 0 0 27.989 0.784 27.942 0.607 1927 11 28.200 0.810 0 0 27.967 0.576 28.069 0.547 1927 12 27.950 0.706 0 0 27.872 0.628 27.808 0.432 1928 1 27.550 0.426 0 0 27.401 0.276 27.324 0.069 1928 2 27.650 0.477 0 0 27.306 0.133 27.638 0.333 1928 3 27.650 0.335 0 0 27.272 -0.043 27.618 0.172 1928 4 27.300 0.091 0 0 27.008 -0.201 27.172 -0.168 1928 5 27.550 0.102 0 0 27.278 -0.170 27.387 -0.192 1928 6 27.050 -0.386 0 0 26.808 -0.629 27.049 -0.519 1928 7 27.400 0.184 0 0 27.316 0.099 27.121 -0.227 1928 8 27.600 0.329 0 0 27.612 0.340 27.468 0.066 1928 9 NaN NaN NaN NaN NaN NaN 27.068 -0.401 1928 10 27.600 0.396 0 0 27.289 0.084 27.346 0.010 1928 11 27.900 0.510 0 0 27.667 0.276 27.743 0.221 1928 12 28.100 0.856 0 4 28.134 0.890 27.892 0.517 1929 1 27.500 0.376 0 0 27.566 0.442 27.360 0.104 1929 2 NaN NaN NaN NaN NaN NaN 26.860 -0.445 1929 3 26.700 -0.615 0 0 26.867 -0.448 27.392 -0.054 1929 4 26.100 -1.109 0 0 26.229 -0.980 26.555 -0.786 1929 5 26.750 -0.698 0 0 26.870 -0.578 27.106 -0.473 1929 6 26.450 -0.986 0 0 26.557 -0.879 26.873 -0.695 1929 7 26.700 -0.516 0 0 26.737 -0.479 26.627 -0.721 1929 8 27.550 0.279 0 0 27.545 0.274 27.293 -0.110 1929 9 27.000 -0.338 0 0 27.061 -0.277 27.232 -0.237 1929 10 27.400 0.196 0 0 27.537 0.333 27.609 0.274 1929 11 26.650 -0.740 0 0 26.753 -0.637 27.128 -0.394 1929 12 26.200 -1.044 0 0 26.234 -1.010 26.324 -1.052 1930 1 26.300 -0.824 0 0 26.366 -0.758 26.548 -0.708 1930 2 26.100 -1.073 0 0 26.252 -0.922 26.669 -0.636 1930 3 25.750 -1.565 0 0 25.917 -1.398 26.549 -0.897 1930 4 26.050 -1.159 0 0 26.179 -1.030 26.430 -0.910 1930 5 26.650 -0.798 0 0 26.770 -0.678 27.034 -0.545 1930 6 26.250 -1.186 0 0 26.357 -1.079 26.742 -0.826 1930 7 26.450 -0.766 0 0 26.487 -0.729 26.409 -0.939 1930 8 27.250 -0.021 0 0 27.245 -0.026 27.164 -0.239 1930 9 27.100 -0.238 0 0 27.161 -0.177 27.361 -0.108 1930 10 28.050 0.846 0 0 28.187 0.983 28.125 0.789 1930 11 27.100 -0.290 0 0 27.203 -0.187 27.496 -0.025 1930 12 26.600 -0.644 0 0 26.634 -0.610 26.756 -0.619 1931 1 26.750 -0.374 0 0 26.816 -0.308 26.931 -0.325 1931 2 26.150 -1.023 0 0 26.302 -0.872 26.652 -0.653 1931 3 26.650 -0.665 0 0 26.817 -0.498 27.200 -0.247 1931 4 27.250 0.041 0 0 27.379 0.170 27.332 -0.008 1931 5 27.600 0.152 0 0 27.720 0.272 27.804 0.225 1931 6 27.550 0.114 0 0 27.657 0.221 27.763 0.195 1931 7 27.250 0.034 0 0 27.287 0.071 27.124 -0.224 1931 8 27.450 0.179 0 0 27.445 0.174 27.260 -0.142 1931 9 27.450 0.112 0 0 27.511 0.173 27.602 0.132 1931 10 26.950 -0.254 0 0 27.087 -0.117 27.251 -0.084 1931 11 27.050 -0.340 0 0 27.153 -0.237 27.311 -0.211 1931 12 27.300 0.056 0 0 27.334 0.090 27.325 -0.051 1932 1 27.250 0.126 0 0 27.316 0.192 27.321 0.065 1932 2 26.550 -0.623 0 0 26.702 -0.472 27.038 -0.267 1932 3 27.150 -0.165 0 0 27.317 0.002 27.692 0.246 1932 4 27.500 0.291 0 0 27.629 0.420 27.630 0.289 1932 5 27.000 -0.448 0 0 27.120 -0.328 27.237 -0.342 1932 6 27.100 -0.336 0 0 27.207 -0.229 27.365 -0.203 1932 7 27.000 -0.216 0 0 27.037 -0.179 26.956 -0.391 1932 8 27.250 -0.021 0 0 27.245 -0.026 27.263 -0.140 1932 9 27.450 0.112 0 0 27.511 0.173 27.619 0.149 1932 10 26.400 -0.804 0 0 26.537 -0.667 26.903 -0.433 1932 11 27.300 -0.090 0 0 27.403 0.013 27.569 0.047 1932 12 27.150 -0.094 0 0 27.184 -0.060 27.149 -0.227 1933 1 27.100 -0.024 0 0 27.166 0.042 27.213 -0.043 1933 2 27.000 -0.173 0 0 27.152 -0.022 27.465 0.161 1933 3 27.150 -0.165 0 0 27.317 0.002 27.646 0.200 1933 4 26.750 -0.459 0 0 26.879 -0.330 26.944 -0.396 1933 5 27.450 0.002 0 0 27.570 0.122 27.542 -0.037 1933 6 27.100 -0.336 0 0 27.207 -0.229 27.282 -0.286 1933 7 27.000 -0.216 0 0 27.037 -0.179 26.965 -0.383 1933 8 26.650 -0.621 0 0 26.645 -0.626 26.776 -0.626 1933 9 26.050 -1.288 0 0 26.111 -1.227 26.572 -0.897 1933 10 26.650 -0.554 0 0 26.787 -0.417 26.979 -0.356 1933 11 26.950 -0.440 0 0 27.053 -0.337 27.312 -0.209 1933 12 27.250 0.006 0 0 27.284 0.040 27.207 -0.169 1934 1 27.100 -0.024 0 0 27.166 0.042 27.337 0.082 1934 2 26.700 -0.473 0 0 26.852 -0.322 27.402 0.098 1934 3 27.600 0.285 0 0 27.767 0.452 28.117 0.670 1934 4 27.200 -0.009 0 0 27.329 0.120 27.331 -0.010 1934 5 26.800 -0.648 0 0 26.920 -0.528 27.198 -0.381 1934 6 27.400 -0.036 0 0 27.507 0.071 27.630 0.063 1934 7 27.500 0.284 0 0 27.537 0.321 27.370 0.022 1934 8 27.550 0.279 0 0 27.545 0.274 27.481 0.079 1934 9 27.100 -0.238 0 0 27.161 -0.177 27.319 -0.150 1934 10 27.450 0.246 0 0 27.587 0.383 27.582 0.246 1934 11 27.550 0.160 0 0 27.653 0.263 27.815 0.293 1934 12 27.050 -0.194 0 0 27.084 -0.160 27.062 -0.314 1935 1 27.750 0.626 0 0 27.816 0.692 27.610 0.355 1935 2 27.300 0.127 0 0 27.452 0.278 27.663 0.358 1935 3 27.450 0.135 0 0 27.617 0.302 27.837 0.390 1935 4 27.400 0.191 0 0 27.529 0.320 27.459 0.119 1935 5 27.100 -0.348 0 0 27.220 -0.228 27.425 -0.154 1935 6 NaN NaN NaN NaN NaN NaN 27.501 -0.067 1935 7 NaN NaN NaN NaN NaN NaN 27.318 -0.029 1935 8 NaN NaN NaN NaN NaN NaN 26.966 -0.437 1935 9 NaN NaN NaN NaN NaN NaN 27.186 -0.283 1935 10 NaN NaN NaN NaN NaN NaN 27.587 0.252 1935 11 NaN NaN NaN NaN NaN NaN 27.095 -0.427 1935 12 NaN NaN NaN NaN NaN NaN 26.745 -0.631 1936 1 NaN NaN NaN NaN NaN NaN 26.944 -0.312 1936 2 NaN NaN NaN NaN NaN NaN 27.058 -0.247 1936 3 NaN NaN NaN NaN NaN NaN 27.327 -0.120 1936 4 NaN NaN NaN NaN NaN NaN 27.280 -0.061 1936 5 NaN NaN NaN NaN NaN NaN 27.374 -0.205