% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33875 % Primary Name: TAKOMA PARK BALT AVE % Record Type: TAVG % Country: United States % State: MD % Latitude: 38.98330 +/- 0.00005 % Longitude: -77.01670 +/- 0.00005 % Elevation (m): 98.10 +/- 0.05 % # of Months: 209 % % Alternate Names: TAKOMA PK BALT AVE % % IDs: coop - 188720 % ghcnd - USC00188720 % ncdc - 20009508 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2a1850fc506e168b39417024a07a3132 % Raw Data Hash: c4afd787369e787ddb34aa214b914d5a % Adj Data Hash: c3e46a13d0bd30c76d7e12ed632796b1 % % 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 1930 1 NaN NaN NaN NaN NaN NaN 0.086 0.555 1930 2 NaN NaN NaN NaN NaN NaN 3.211 2.410 1930 3 NaN NaN NaN NaN NaN NaN 5.884 0.083 1930 4 NaN NaN NaN NaN NaN NaN 10.405 -1.383 1930 5 NaN NaN NaN NaN NaN NaN 18.055 0.887 1930 6 NaN NaN NaN NaN NaN NaN 22.318 0.501 1930 7 NaN NaN NaN NaN NaN NaN 25.325 1.021 1930 8 NaN NaN NaN NaN NaN NaN 23.688 0.126 1930 9 NaN NaN NaN NaN NaN NaN 23.117 3.380 1930 10 NaN NaN NaN NaN NaN NaN 11.918 -1.144 1930 11 NaN NaN NaN NaN NaN NaN 7.157 -0.133 1930 12 NaN NaN NaN NaN NaN NaN 0.106 -1.504 1931 1 2.056 1.377 0 0 2.107 1.429 0.757 1.226 1931 2 3.389 1.441 0 0 3.534 1.586 1.783 0.982 1931 3 4.833 -2.115 0 0 5.135 -1.813 4.151 -1.651 1931 4 11.556 -1.379 0 0 11.821 -1.113 11.075 -0.713 1931 5 17.556 -0.759 0 0 17.638 -0.677 16.803 -0.364 1931 6 22.222 -0.742 0 0 22.185 -0.778 21.557 -0.260 1931 7 25.778 0.327 0 0 25.718 0.267 25.438 1.134 1931 8 23.444 -1.264 0 0 23.384 -1.324 23.279 -0.282 1931 9 22.556 1.671 0 0 22.568 1.683 22.614 2.877 1931 10 15.667 1.459 0 0 15.850 1.642 14.674 1.613 1931 11 NaN NaN NaN NaN NaN NaN 11.160 3.870 1931 12 NaN NaN NaN NaN NaN NaN 5.169 3.560 1932 1 NaN NaN NaN NaN NaN NaN 6.379 6.848 1932 2 NaN NaN NaN NaN NaN NaN 3.917 3.116 1932 3 NaN NaN NaN NaN NaN NaN 3.503 -2.298 1932 4 NaN NaN NaN NaN NaN NaN 10.458 -1.329 1932 5 NaN NaN NaN NaN NaN NaN 16.705 -0.463 1932 6 NaN NaN NaN NaN NaN NaN 21.590 -0.226 1932 7 NaN NaN NaN NaN NaN NaN 24.003 -0.301 1932 8 25.222 0.514 0 0 25.162 0.454 24.023 0.462 1932 9 21.000 0.116 0 0 21.012 0.128 20.290 0.553 1932 10 14.556 0.347 0 0 14.739 0.531 13.139 0.078 1932 11 7.222 -1.215 0 0 7.496 -0.941 6.271 -1.020 1932 12 4.056 1.299 0 0 4.220 1.463 2.237 0.627 1933 1 6.111 5.433 0 0 6.163 5.484 4.284 4.753 1933 2 3.500 1.552 0 0 3.645 1.697 1.439 0.638 1933 3 5.944 -1.004 0 0 6.246 -0.702 4.704 -1.098 1933 4 13.000 0.065 0 0 13.266 0.331 11.921 0.134 1933 5 19.111 0.797 0 0 19.193 0.879 18.150 0.983 1933 6 23.222 0.258 0 0 23.185 0.222 22.502 0.685 1933 7 23.889 -1.562 0 0 23.829 -1.622 23.488 -0.816 1933 8 24.000 -0.708 0 0 23.940 -0.769 23.411 -0.150 1933 9 21.944 1.060 0 0 21.956 1.072 21.285 1.548 1933 10 13.667 -0.541 0 0 13.850 -0.358 12.134 -0.927 1933 11 6.889 -1.548 0 0 7.163 -1.275 6.057 -1.233 1933 12 3.333 0.577 0 0 3.497 0.741 1.522 -0.087 1934 1 3.778 3.100 0 0 3.829 3.151 2.197 2.666 1934 2 -4.333 -6.281 0 0 -4.188 -6.136 -6.032 -6.833 1934 3 5.111 -1.837 0 0 5.413 -1.535 3.830 -1.971 1934 4 12.222 -0.712 0 0 12.488 -0.447 11.295 -0.493 1934 5 18.889 0.574 0 0 18.971 0.657 17.729 0.561 1934 6 24.556 1.592 0 0 24.519 1.555 23.632 1.815 1934 7 26.444 0.993 0 0 26.385 0.934 25.939 1.635 1934 8 22.778 -1.931 0 0 22.718 -1.991 22.260 -1.302 1934 9 20.778 -0.106 0 0 20.790 -0.094 20.518 0.781 1934 10 13.556 -0.653 0 0 13.739 -0.469 12.150 -0.912 1934 11 9.722 1.285 0 0 9.996 1.559 8.934 1.643 1934 12 2.667 -0.090 0 0 2.831 0.075 1.089 -0.521 1935 1 0.111 -0.567 0 0 0.163 -0.516 -1.352 -0.883 1935 2 1.722 -0.226 0 0 1.867 -0.081 -0.294 -1.095 1935 3 9.778 2.830 0 0 10.079 3.131 8.556 2.755 1935 4 11.111 -1.824 0 0 11.377 -1.558 10.175 -1.612 1935 5 16.000 -2.314 0 0 16.082 -2.232 14.995 -2.173 1935 6 22.333 -0.630 0 4 22.363 -0.600 21.330 -0.487 1935 7 25.778 0.327 0 0 25.825 0.374 25.170 0.865 1935 8 24.556 -0.153 0 0 24.603 -0.106 23.710 0.149 1935 9 19.222 -1.662 0 0 19.216 -1.668 18.474 -1.263 1935 10 14.778 0.570 0 0 14.645 0.437 13.000 -0.061 1935 11 10.556 2.118 0 0 10.355 1.918 9.357 2.066 1935 12 -0.167 -2.923 0 0 -0.286 -3.042 -1.772 -3.381 1936 1 -0.778 -1.456 0 0 -0.813 -1.491 -2.892 -2.423 1936 2 -1.889 -3.837 0 0 -1.994 -3.942 -4.036 -4.837 1936 3 10.000 3.052 0 0 9.779 2.831 8.421 2.620 1936 4 11.333 -1.601 0 0 11.139 -1.796 10.108 -1.680 1936 5 19.444 1.130 0 0 19.386 1.072 18.250 1.082 1936 6 22.222 -0.742 0 0 22.252 -0.712 21.479 -0.338 1936 7 25.444 -0.007 0 0 25.491 0.040 24.596 0.292 1936 8 25.111 0.403 0 0 25.158 0.450 24.401 0.839 1936 9 21.556 0.671 0 0 21.549 0.665 20.888 1.151 1936 10 15.611 1.403 0 0 15.478 1.270 13.885 0.824 1936 11 7.222 -1.215 0 0 7.022 -1.415 6.208 -1.083 1936 12 4.000 1.244 0 0 3.881 1.125 2.301 0.692 1937 1 6.167 5.489 0 0 6.131 5.453 4.562 5.031 1937 2 2.889 0.941 0 0 2.784 0.836 0.945 0.144 1937 3 6.222 -0.726 0 0 6.001 -0.947 4.275 -1.526 1937 4 12.111 -0.824 0 0 11.917 -1.018 10.883 -0.904 1937 5 18.722 0.408 0 0 18.664 0.350 17.315 0.147 1937 6 23.667 0.703 0 0 23.697 0.733 22.581 0.764 1937 7 24.722 -0.729 0 0 24.769 -0.682 23.951 -0.353 1937 8 25.278 0.569 0 0 25.325 0.616 24.359 0.798 1937 9 18.833 -2.051 0 0 18.827 -2.057 18.027 -1.710 1937 10 13.111 -1.097 0 0 12.978 -1.230 11.624 -1.437 1937 11 8.389 -0.048 0 0 8.189 -0.249 7.087 -0.203 1937 12 2.556 -0.201 0 0 2.437 -0.320 0.739 -0.870 1938 1 1.778 1.100 0 0 1.742 1.064 0.147 0.616 1938 2 4.889 2.941 0 0 4.784 2.836 2.944 2.143 1938 3 9.611 2.663 0 0 9.390 2.442 8.100 2.299 1938 4 14.056 1.121 0 0 13.861 0.926 12.775 0.987 1938 5 17.444 -0.870 0 0 17.386 -0.928 16.273 -0.895 1938 6 22.056 -0.908 0 0 22.085 -0.878 21.222 -0.595 1938 7 25.389 -0.062 0 0 25.436 -0.015 24.588 0.284 1938 8 25.389 0.680 0 0 25.436 0.728 24.752 1.190 1938 9 19.222 -1.662 0 0 19.216 -1.668 18.842 -0.895 1938 10 14.722 0.514 0 0 14.589 0.381 13.175 0.114 1938 11 10.222 1.785 0 0 10.022 1.585 8.756 1.466 1938 12 2.889 0.133 0 0 2.770 0.014 1.454 -0.156 1939 1 2.778 2.100 0 0 2.742 2.064 0.813 1.281 1939 2 5.278 3.330 0 0 5.173 3.225 3.181 2.380 1939 3 8.556 1.607 0 0 8.335 1.386 6.668 0.867 1939 4 12.000 -0.935 0 0 11.805 -1.129 10.667 -1.120 1939 5 19.444 1.130 0 0 19.386 1.072 18.245 1.078 1939 6 23.444 0.481 0 0 23.474 0.511 22.614 0.798 1939 7 23.833 -1.618 0 0 23.880 -1.571 23.290 -1.015 1939 8 24.778 0.069 0 0 24.825 0.116 24.767 1.206 1939 9 21.167 0.282 0 0 21.160 0.276 20.480 0.742 1939 10 14.667 0.459 0 0 14.533 0.325 13.117 0.055 1939 11 7.667 -0.771 0 0 7.466 -0.971 6.498 -0.792 1939 12 4.056 1.299 0 0 3.937 1.180 2.413 0.803 1940 1 -4.278 -4.956 0 0 -4.313 -4.991 -6.055 -5.586 1940 2 2.333 0.385 0 0 2.228 0.280 0.516 -0.285 1940 3 4.722 -2.226 0 0 4.501 -2.447 3.247 -2.554 1940 4 10.111 -2.824 0 0 9.917 -3.018 9.124 -2.664 1940 5 18.111 -0.203 0 0 18.053 -0.262 16.688 -0.480 1940 6 23.111 0.147 0 0 23.141 0.177 21.877 0.060 1940 7 24.667 -0.784 0 0 24.713 -0.738 24.002 -0.302 1940 8 22.444 -2.264 0 0 22.492 -2.217 21.843 -1.718 1940 9 18.889 -1.995 0 0 18.883 -2.002 18.177 -1.560 1940 10 12.944 -1.264 0 0 12.811 -1.397 11.274 -1.787 1940 11 8.556 0.118 0 0 8.355 -0.082 7.556 0.265 1940 12 5.389 2.633 0 0 5.270 2.514 3.736 2.126 1941 1 0.944 0.266 0 0 0.909 0.231 -0.821 -0.352 1941 2 0.889 -1.059 0 0 0.784 -1.164 -1.066 -1.867 1941 3 4.111 -2.837 0 0 3.890 -3.058 2.840 -2.961 1941 4 15.500 2.565 0 0 15.305 2.371 14.300 2.513 1941 5 19.333 1.019 0 0 19.275 0.961 17.805 0.637 1941 6 22.111 -0.853 0 0 22.141 -0.823 21.330 -0.487 1941 7 24.222 -1.229 0 0 24.269 -1.182 24.133 -0.171 1941 8 23.222 -1.486 0 0 23.269 -1.439 22.781 -0.780 1941 9 22.000 1.116 0 0 21.994 1.110 21.276 1.539 1941 10 17.278 3.070 0 0 17.145 2.937 16.046 2.985 1941 11 10.000 1.563 0 0 9.800 1.362 8.824 1.534 1941 12 5.056 2.299 0 0 4.937 2.180 3.309 1.699 1942 1 1.222 0.544 0 0 1.187 0.509 -0.500 -0.031 1942 2 1.000 -0.948 0 0 0.895 -1.053 -0.894 -1.695 1942 3 8.111 1.163 0 0 7.890 0.942 7.057 1.256 1942 4 14.778 1.843 0 0 14.583 1.649 13.606 1.818 1942 5 20.000 1.686 0 0 19.942 1.627 18.849 1.681 1942 6 22.889 -0.075 0 0 22.919 -0.045 22.096 0.279 1942 7 24.889 -0.562 0 0 24.936 -0.515 24.398 0.094 1942 8 22.778 -1.931 0 0 22.825 -1.884 22.573 -0.989 1942 9 20.500 -0.384 0 0 20.494 -0.390 20.082 0.344 1942 10 14.778 0.570 0 0 14.645 0.437 13.831 0.769 1942 11 9.333 0.896 0 0 9.133 0.696 8.239 0.949 1942 12 0.889 -1.867 0 0 0.770 -1.986 -0.658 -2.267 1943 1 1.556 0.877 0 0 1.520 0.842 0.078 0.547 1943 2 3.667 1.719 0 0 3.562 1.614 1.448 0.647 1943 3 7.667 0.719 0 0 7.446 0.498 5.871 0.070 1943 4 10.667 -2.268 0 0 10.472 -2.462 9.447 -2.340 1943 5 19.111 0.797 0 0 19.053 0.738 18.073 0.906 1943 6 25.389 2.425 0 0 25.419 2.455 24.785 2.968 1943 7 25.000 -0.451 0 0 25.047 -0.404 24.349 0.045 1943 8 25.722 1.014 0 0 25.769 1.061 24.634 1.072 1943 9 19.111 -1.773 0 0 19.105 -1.779 18.869 -0.869 1943 10 13.222 -0.986 0 0 13.089 -1.119 11.993 -1.068 1943 11 7.889 -0.548 0 0 7.689 -0.749 6.688 -0.602 1943 12 2.500 -0.256 0 0 2.381 -0.375 0.666 -0.943 1944 1 2.667 1.989 0 0 2.631 1.953 0.837 1.306 1944 2 2.944 0.997 0 0 2.839 0.892 1.089 0.288 1944 3 5.889 -1.059 0 0 5.668 -1.280 4.384 -1.417 1944 4 11.889 -1.046 0 0 11.694 -1.240 10.602 -1.185 1944 5 21.222 2.908 0 0 21.164 2.850 20.213 3.046 1944 6 23.222 0.258 0 0 23.252 0.288 22.519 0.702 1944 7 25.389 -0.062 0 0 25.436 -0.015 24.775 0.471 1944 8 24.111 -0.597 0 0 24.158 -0.550 23.766 0.205 1944 9 20.722 -0.162 0 0 20.716 -0.168 20.249 0.512 1944 10 13.389 -0.819 0 0 13.256 -0.952 12.149 -0.912 1944 11 8.333 -0.104 0 0 8.133 -0.304 7.477 0.187 1944 12 0.833 -1.923 0 0 0.714 -2.042 -0.826 -2.436 1945 1 -0.889 -1.567 0 0 -0.924 -1.603 -2.911 -2.443 1945 2 3.222 1.274 0 0 3.117 1.169 0.862 0.062 1945 3 13.556 6.607 0 0 13.335 6.386 11.838 6.037 1945 4 14.444 1.510 0 0 14.250 1.315 13.610 1.822 1945 5 16.722 -1.592 0 0 16.664 -1.650 15.524 -1.644 1945 6 22.500 -0.464 0 4 22.456 -0.508 21.763 -0.054 1945 7 23.889 -1.562 0 0 23.822 -1.629 23.563 -0.742 1945 8 23.000 -1.708 0 0 22.933 -1.776 22.547 -1.015 1945 9 22.000 1.116 0 0 22.005 1.121 21.518 1.780 1945 10 13.667 -0.541 0 0 13.843 -0.365 12.423 -0.638 1945 11 9.222 0.785 0 0 9.489 1.052 8.464 1.174 1945 12 0.111 -2.645 0 0 0.268 -2.488 -1.542 -3.151 1946 1 2.389 1.711 0 0 2.433 1.755 0.727 1.196 1946 2 3.778 1.830 0 0 3.916 1.968 1.556 0.755 1946 3 11.667 4.719 0 0 11.961 5.013 10.330 4.528 1946 4 13.278 0.343 0 0 13.537 0.602 11.797 0.010 1946 5 17.889 -0.426 0 0 17.964 -0.350 17.012 -0.156 1946 6 21.778 -1.186 0 0 21.734 -1.230 20.774 -1.043 1946 7 23.333 -2.118 0 0 23.267 -2.184 23.409 -0.895 1946 8 21.667 -3.042 0 0 21.600 -3.109 21.120 -2.442 1946 9 20.667 -0.218 0 0 20.672 -0.213 20.110 0.373 1946 10 15.667 1.459 0 0 15.843 1.635 14.623 1.562 1946 11 10.889 2.452 0 0 11.156 2.718 9.847 2.556 1946 12 4.222 1.466 0 0 4.379 1.623 3.173 1.564 1947 1 5.000 4.322 0 0 5.044 4.366 3.307 3.776 1947 2 -0.278 -2.226 0 0 -0.140 -2.088 -2.187 -2.988 1947 3 4.000 -2.948 0 0 4.295 -2.654 2.843 -2.959 1947 4 14.000 1.065 0 0 14.259 1.324 12.738 0.951 1947 5 18.000 -0.314 0 0 18.075 -0.239 16.767 -0.400 1947 6 21.444 -1.519 0 0 21.401 -1.563 20.677 -1.140 1947 7 23.222 -2.229 0 0 23.156 -2.295 22.897 -1.407 1947 8 24.778 0.069 0 0 24.711 0.002 24.612 1.051 1947 9 20.278 -0.606 0 0 20.283 -0.601 20.080 0.343 1947 10 17.111 2.903 0 0 17.287 3.079 16.109 3.048 1947 11 7.222 -1.215 0 0 7.489 -0.948 6.407 -0.884 1947 12 2.000 -0.756 0 0 2.157 -0.599 0.338 -1.271 1948 1 -1.889 -2.567 0 0 -1.844 -2.523 -3.740 -3.271 1948 2 2.556 0.608 0 0 2.694 0.746 0.183 -0.618 1948 3 9.111 2.163 0 0 9.406 2.458 7.721 1.920 1948 4 13.389 0.454 0 0 13.648 0.713 12.380 0.592 1948 5 17.778 -0.537 0 0 17.853 -0.462 16.813 -0.354 1948 6 22.333 -0.630 0 0 22.289 -0.674 21.736 -0.081 1948 7 24.667 -0.784 0 0 24.600 -0.851 24.164 -0.140 1948 8 23.222 -1.486 0 0 23.155 -1.553 22.928 -0.633 1948 9 19.667 -1.218 0 0 19.672 -1.213 19.526 -0.212 1948 10 12.778 -1.430 0 0 12.954 -1.254 11.778 -1.284 1948 11 10.833 2.396 0 0 11.100 2.663 10.170 2.880 1948 12 4.111 1.355 0 0 4.268 1.512 2.373 0.763 1949 1 5.889 5.211 0 0 5.933 5.255 4.072 4.541 1949 2 6.444 4.497 0 0 6.582 4.635 4.290 3.489 1949 3 NaN NaN NaN NaN NaN NaN 6.866 1.065 1949 4 NaN NaN NaN NaN NaN NaN 11.450 -0.338 1949 5 NaN NaN NaN NaN NaN NaN 17.200 0.033 1949 6 NaN NaN NaN NaN NaN NaN 22.412 0.595 1949 7 NaN NaN NaN NaN NaN NaN 25.909 1.605 1949 8 NaN NaN NaN NaN NaN NaN 23.806 0.244 1949 9 NaN NaN NaN NaN NaN NaN 18.065 -1.672 1949 10 NaN NaN NaN NaN NaN NaN 15.641 2.580 1949 11 NaN NaN NaN NaN NaN NaN 7.590 0.300 1949 12 NaN NaN NaN NaN NaN NaN 2.843 1.234 1950 1 NaN NaN NaN NaN NaN NaN 6.260 6.729 1950 2 NaN NaN NaN NaN NaN NaN 1.181 0.380